Publications List
Topic: KE Group
Publications for topic "KE Group" sorted by journal and type
AI Communications
Efficient Pruning Methods for Relational Learning (Extended Thesis Abstract) (1995), in: AI Communications, 8:2(105--106) | ,
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Applied Artificial Intelligence
Learning to Recognize Missing E-mail Attachments (2010), in: Applied Artificial Intelligence, 24:5(443-462) | and ,
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User Profiling for the Melvil Knowledge Retrieval System (2002), in: Applied Artificial Intelligence, 16:4(243--281) | , and ,
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Guest Editorial: First-Order Knowledge Discovery in Databases (1998), in: Applied Artificial Intelligence, 12:5(345--361) | and ,
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Special Issue on First-Order Knowledge Discovery in Databases (1998), in: Applied Artificial Intelligence, 12:5 | and ,
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Knowledge Discovery in International Conflict Databases (1997), in: Applied Artificial Intelligence, 11:2(91--118) | , and ,
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Archives of Data Science, Series A
PLAY: A Profiled Linear Weighting Scheme for Understanding the Influence of Input Variables on the Output of a Deep Artificial Neural Network (2020), in: Archives of Data Science, Series A | , , and ,
Artificial Intelligence
Label Ranking by Learning Pairwise Preferences (2008), in: Artificial Intelligence, 172:16–17(1897--1916) | , , and ,
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Artificial Intelligence Review
Separate-and-Conquer Rule Learning (1999), in: Artificial Intelligence Review, 13:1(3--54) | ,
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Computers
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance (2021), in: Computers, 10:3 | , and ,
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CoRR
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance (2021), in: CoRR, abs/2110.09208 | , , and ,
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Revisiting Non-Specific Syndromic Surveillance (2021), in: CoRR, abs/2101.12246 | , and ,
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Cybernetics and Systems
Searching for Patterns in Political Event Sequences: Experiments with the KEDS Database (2000), in: Cybernetics and Systems, 31:6(649--668) | , , , , and ,
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Data & Knowledge Engineering Journal, Special Issue on Contribution of Ontologies in Designing Advanced Information Systems
Application Integration on the User Interface Level: an Ontology-Based Approach (2010), in: Data & Knowledge Engineering Journal, Special Issue on Contribution of Ontologies in Designing Advanced Information Systems, 69:11(1103-1116) | and ,
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Data Mining and Knowledge Discovery
Multi-target prediction: a unifying view on problems and methods (2019), in: Data Mining and Knowledge Discovery, 33:2(293--324) | , and ,
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Efficient prediction algorithms for binary decomposition techniques (2012), in: Data Mining and Knowledge Discovery, 24:1(40-77) | and ,
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Guest Editorial: Global Modeling using Local Patterns (2010), in: Data Mining and Knowledge Discovery, 21:1(1--8) | and ,
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European Journal of Population
Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach (2006), in: European Journal of Population, 22:1(37--65) | , and ,
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Frontiers in Big Data
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance (2021), in: Frontiers in Big Data | , , and ,
Group Decision and Negotiation
Context-Sensitive Semantic Synchronization Enablement in Electronic Negotiations (2011), in: Group Decision and Negotiation, 20:6(741-754) | , and ,
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HMD Praxis der Wirtschaftsinformatik
Semantische Synchronisationsdienste zur dynamischen Informationsintegration im elektronischen Geschäftsverkehr (2009), in: HMD Praxis der Wirtschaftsinformatik(28-38) | , , and ,
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IEEE Intelligent Transportation Systems Magazine
ITS+DM Hackathon (ITSC 2017): Lane Departure Prediction with Naturalistic Driving Data (2019), in: IEEE Intelligent Transportation Systems Magazine, 11 | , , , , , , and ,
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IEEE Transactions on Computational Intelligence and AI in Games
On Learning from Game Annotations (2015), in: IEEE Transactions on Computational Intelligence and AI in Games, 7:3(304-316) | and ,
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IEEE Transactions on Games
Informed Hybrid Game Tree Search (2018), in: IEEE Transactions on Games, 10:1(78--90) | , , , and ,
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ILP Newsletter
Summary of the Workshop on ILP for KDD (1997), in: ILP Newsletter, 4:1 | and ,
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Information Fusion
Hyperlink Ensembles: A Case Study in Hypertext Classification (2002), in: Information Fusion, 3:4(299--312) | ,
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Information Processing Letters
Incremental Learning of Approximations from positive data (2004), in: Information Processing Letters, 89:1(37--42) | and ,
Information Systems
A Rapid-Prototyping Framework for Extracting Small-Scale Incident-Related Information in Microblogs: Application of Multi-Label Classification on Tweets (2016), in: Information Systems, 57(88-110) | , and ,
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Intelligent Data Analysis
Round Robin Ensembles (2003), in: Intelligent Data Analysis, 7:5(385--404) | ,
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International Computer Chess Association Journal
Workshop Report: Machine Learning in Game Playing (1999), in: International Computer Chess Association Journal, 22:3(178,179,165) | and ,
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A Hypothesis on the Divergence of AI Research (1998), in: International Computer Chess Association Journal, 21:1(3--13) | and ,
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Machine Learning in Computer Chess: The Next Generation (1996), in: International Computer Chess Association Journal, 19:3(147--161) | ,
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International Computer Games Association Journal
Learning the Piece Values for Three Chess Variants (2008), in: International Computer Games Association Journal, 31:4(209--233) | and ,
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International Journal on Computer Science and Applications (IJCSA)
Improving the Usability of Integrated Applications by Using Interactive Visualizations of Linked Data (2011), in: International Journal on Computer Science and Applications (IJCSA), 8:2 | ,
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International Journal on Semantic Web and Information Systems
Ontology-Enhanced User Interfaces: A Survey (2010), in: International Journal on Semantic Web and Information Systems, 6:2(36-59) | and ,
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JavaSpektrum
Mächtig & Schick - Java-Applikationen mit Flex-UIs (2010), in: JavaSpektrum, 2(32-35) | and ,
Journal of Artificial Intelligence Research
Integrative Windowing (1998), in: Journal of Artificial Intelligence Research, 8(129--164) | ,
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Journal of Classification
Comparing Boosting and Bagging for Decision Trees of Rankings (2021), in: Journal of Classification | , , and ,
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Journal of Computer and System Sciences
On Predictive Accuracy and Risk Minimization in Pairwise Label Ranking (2010), in: Journal of Computer and System Sciences, 76:1(49--62) | and ,
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Journal of Intelligent Information Systems
A Review and Comparison of Strategies for Handling Missing Values in Separate-and-Conquer Rule Learning (2011), in: Journal of Intelligent Information Systems, 36:1(73--98) | and ,
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Journal of Machine Learning Research
A Survey of Preference-Based Reinforcement Learning Methods (2017), in: Journal of Machine Learning Research, 18:136(1--46) | , , and ,
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Round Robin Classification (2002), in: Journal of Machine Learning Research, 2(721--747) | ,
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Künstliche Intelligenz
Preference Learning (2005), in: Künstliche Intelligenz, 19:1(60--61) | and ,
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Machine Learning
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach (2016), in: Machine Learning, 105:1(77--126) | and ,
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Efficient Implementation of Class-Based Decomposition Schemes for Naive Bayes (2014), in: Machine Learning, 96:3(295--309) | and ,
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Editorial: Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3(185--189) | and ,
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Special Issue on Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3 |
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Preference-based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm (2012), in: Machine Learning, 89:1-2(123--156) | , , and ,
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On the Quest for Optimal Rule Learning Heuristics (2010), in: Machine Learning, 78:3(343--379) | and ,
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Multilabel Classification via Calibrated Label Ranking (2008), in: Machine Learning, 73:2(133--153) | , , and ,
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Guest Editorial: Machine Learning and Games (2006), in: Machine Learning, 63:3(211--215) | , , and ,
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Special Issue on Machine Learning and Games (2006), in: Machine Learning, 63:3 | , , and ,
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ROC 'n' Rule Learning -- Towards a Better Understanding of Covering Algorithms (2005), in: Machine Learning, 58:1(39--77) | and ,
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Pruning Algorithms for Rule Learning (1997), in: Machine Learning, 27:2(139--171) | ,
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Machine Learning Journal
A Flexible Class of Dependence-sensitive Multi-label Loss Functions (2021), in: Machine Learning Journal | , , , and ,
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Tree-Based Dynamic Classifier Chains (2021), in: Machine Learning Journal | , , and ,
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Medizinische Klinik - Intensivmedizin und Notfallmedizin
Risikostratifizierung durch Implementierung und Evaluation eines COVID-19-Scores (2020), in: Medizinische Klinik - Intensivmedizin und Notfallmedizin, 115(132–-138) | , , , , , , and ,
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MLnet News
Summary of the Workshop on ILP for KDD (1996), in: MLnet News, 4:2(16) | and ,
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Neurocomputing
Efficient Voting Prediction for Pairwise Multilabel Classification (2010), in: Neurocomputing, 73:7-9(1164 - 1176) | , and ,
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ÖGAI Journal
Recent Advances in Machine Learning and Game Playing (2007), in: ÖGAI Journal, 26:2 | ,
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Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web (2002), in: ÖGAI Journal, 21:2(17--26) | ,
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ÖGAI--Journal
Bericht über ILP-98, ICML-98 und AAAI-98 (1998), in: ÖGAI--Journal, 17:3(2--9) | and ,
Bericht über IJCAI-97 und AAAI-97 (1997), in: ÖGAI--Journal, 16:3(30--33) | ,
A Brief Introduction to Knowledge Discovery in Databases (1995), in: ÖGAI--Journal, 14:4(14--17) | ,
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Bericht über The 11th International Conference on Machine Learning (ML-94) (1994), in: ÖGAI--Journal, 13:2(3--4) | ,
Inductive Logic Programming (A Short Introduction and a Thesis Abstract) (1994), in: ÖGAI--Journal, 13:3--4(3--8) | ,
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Bericht über The 13th International Conference on Artificial Intelligence (IJCAI-93) (1993), in: ÖGAI--Journal, 12:1--2(10--12) | ,
Proceedings of the AAAI Conference on Artificial Intelligence
Reliable Multilabel Classification: Prediction with Partial Abstention (2020), in: Proceedings of the AAAI Conference on Artificial Intelligence, 34:04(5264-5271) | and ,
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SIGKDD Explorations
On Exploiting Hierarchical Label Structure with Pairwise Classifiers (2010), in: SIGKDD Explorations, 12:2(21--25) | and ,
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Theor. Comput. Sci.
Reflective inductive inference of recursive functions (2008), in: Theor. Comput. Sci., 397:1-3(57-69) | ,
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Inductive inference of approximations for recursive concepts (2005), in: Theor. Comput. Sci., 348:1(15-40) | , and ,
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2016
Big Data Analytics in the Social and Ubiquitous Context, Springer, Lecture Notes in Computer Science, volume 9546, 2016 |
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2012
Foundations of Rule Learning, Springer-Verlag, 2012 | , and ,
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2011
Ontology-based Application Integration, Springer, 2011 | ,
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2010
Preference Learning, Springer-Verlag, 2010 |
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2008
Ontologies-Based Business Integration, Springer, 2008 | , and ,
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2001
Machines that Learn to Play Games, Nova Science Publishers, Advances in Computation: Theory and Practice, volume 8, 2001 |
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2018
Learning Interpretable Rules for Multi-label Classification, in: Explainable and Interpretable Models in Computer Vision and Machine Learning, pages 81--113, Springer-Verlag, 2018 | , , and ,
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2014
A Hybrid Multi-Strategy Recommender System Using Linked Open Data, in: Semantic Web Evaluation Challenge, Proceedings (ESWC 2014), pages 150-156, Springer, 2014 | , and ,
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Stacking Label Features for Learning Multilabel Rules, in: Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings, pages 192-203, Springer, 2014 | and ,
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2013
Mashups for the Emergency Management Domain, in: Semantic Mashup, pages 237--260, Springer, 2013 | and ,
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Rule-Based Methods, in: Encyclopedia of Systems Biology, Springer-Verlag, 2013 | ,
2012
Preference Learning, in: Encyclopedia of the Sciences of Learning, pages 986, Springer-Verlag, 2012 | and ,
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2010
Decision List, in: Encyclopedia of Machine Learning, pages 261, Springer-Verlag, 2010 | ,
Decision Lists and Decision Trees, in: Encyclopedia of Machine Learning, pages 261--262, Springer-Verlag, 2010 | ,
Decision Tree, in: Encyclopedia of Machine Learning, pages 263--267, Springer-Verlag, 2010 | ,
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain, in: Semantic Processing of Legal Texts -- Where the Language of Law Meets the Law of Language, pages 192-215, Springer-Verlag, 2010 | and ,
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Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms, in: Advances in Machine Learning I --- Dedicated to the Memory of Professor Ryszard S. Michalski, pages 121--146, Springer-Verlag, 2010 | , and ,
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Machine Learning and Game Playing, in: Encyclopedia of Machine Learning, pages 633--637, Springer-Verlag, 2010 | ,
Preference Learning, in: Encyclopedia of Machine Learning, pages 789--795, Springer-Verlag, 2010 | and ,
Preference Learning and Ranking by Pairwise Comparison, in: Preference Learning, pages 65--82, Springer-Verlag, 2010 | and ,
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Preference Learning: An Introduction, in: Preference Learning, pages 1--17, Springer-Verlag, 2010 | and ,
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Pruning, in: Encyclopedia of Machine Learning, pages 817, Springer-Verlag, 2010 | ,
Rule Learning, in: Encyclopedia of Machine Learning, pages 875--879, Springer-Verlag, 2010 | ,
Web Mining, in: Data Mining and Knowledge Discovery Handbook, pages 913--930, Springer-Verlag, 2010 | ,
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2009
Semantic Synchronization in B2B-Transactions, in: Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications, pages 210-234, IGI Global, 2009 | , and ,
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2008
Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants, in: Preferences and Similarities, pages 283--304, Springer-Verlag, 2008 | and ,
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2006
Link-local Features for Hypertext Classification, in: Semantics, Web and Mining, pages 51--64, Springer-Verlag, 2006 | and ,
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Modeling International Negotiation: Statistical and Machine Learning Approaches, in: Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention, pages 227--250, Kluwer Academic Publishers, 2006 | , and ,
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2005
Web Mining, in: Data Mining and Knowledge Discovery Handbook, pages 899--920, Springer-Verlag, 2005 | ,
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2003
On the Cultural Evoluation of Age-at-marriage Norms, in: Agent-Based Computational Demography, pages 139--157, Physica-Verlag / Springer, 2003 | , and ,
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2001
Machine Learning in Games: A Survey, in: Machines that Learn to Play Games, pages 11--59, Nova Science Publishers, 2001 | ,
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2021
Combining Predictions under Uncertainty: The Case of Random Decision Trees, in: Discovery Science, pages 78--93, Springer, 2021 | , , and ,
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Gradient-Based Label Binning in Multi-Label Classification, in: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Springer, 2021 | , , and ,
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Revisiting Non-Specific Syndromic Surveillance, in: Advances in Intelligent Data Analysis {XIX} - 19th International Symposium on Intelligent Data Analysis, {IDA} 2021, Porto, Portugal, April 26-28, 2021, Proceedings, pages 128-140, Springer International Publishing, 2021 | , and ,
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Sum-Product Networks for Early Outbreak Detection of Emerging Diseases, in: Artificial Intelligence in Medicine, pages 61--71, Springer International Publishing, 2021 | , , and ,
2020
A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation, in: Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020), pages 6690–-6699, European Language Resources Association, 2020 | , and ,
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Auswertung der Ersteinschätzung-Routine-Daten unter Verwendung von statistischen Analyseverfahren zur Früherkennung von epidemischen Gefahrenlagen, in: 15. Jahrestagung Deutsche Gesellschaft Interdisziplinäre Notfall- und Akutmedizin (DGINA), 2020 | , , and ,
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Conformal Rule-Based Multi-label Classification, in: KI 2020: Advances in Artificial Intelligence, Springer, Cham, 2020 | , and ,
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Evaluation der im Rahmen des ESEG-Projektes implementierten Pflichtelemente für ein EDV-gestütztes Ersteinschätzungssystem in interdisziplinären zentralen Notaufnahmen, in: 15. Jahrestagung Deutsche Gesellschaft Interdisziplinäre Notfall- und Akutmedizin (DGINA), 2020 | , , , and ,
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Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains, in: Discovery Science - 23rd International Conference, {DS} 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings, pages 471--485, Springer International Publishing, 2020 | , and ,
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Improving the Fusion of Outbreak Detection Methods with Supervised Learning, in: Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, {CIBB} 2019, Bergamo, Italy, September 4-6, 2019, Revised Selected Papers, Bergamo, Italy, pages 55--66, Springer, 2020 | , and ,
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Learning Gradient Boosted Multi-label Classification Rules, in: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pages 124--140, Springer, 2020 | , , , and ,
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Learning Structured Declarative Rule Sets — A Challenge for Deep Discrete Learning, in: 2nd Workshop on Deep Continuous-Discrete Machine Learning (DeCoDeML), 2020 | , , and ,
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On Aggregation in Ensembles of Multilabel Classifiers, in: Discovery Science, pages 533--547, Springer International Publishing, 2020 | , , , and ,
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Rule-Based Multi-label Classification: Challenges and Opportunities, in: Rules and Reasoning, pages 3--19, Springer International Publishing, 2020 | , , , and ,
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2019
Beta Distribution Drift Detection for Adaptive Classifiers, in: Proceedings of the 2019 European Symposium on Artificial Neural Networks -- ESANN'19, 2019 | , and ,
Driver Information Embedding with Siamese LSTM networks, in: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, IEEE, 2019 | and ,
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Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning, in: Discovery Science, pages 367--382, Springer International Publishing, 2019 | , and ,
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Improving Outbreak Detection with Stacking of Statistical Surveillance Methods, in: Workshop Proceedings of epiDAMIK: Epidemiology meets Data Mining and Knowledge discovery (held in conjunction with ACM SIGKDD 2019), Anchorage, USA, 2019 | , and ,
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Learning Analogy-Preserving Sentence Embeddings for Answer Selection, in: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 910--919, Association for Computational Linguistics, 2019 | , and ,
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Learning Context-dependent Label Permutations for Multi-label Classification, in: Proceedings of the 36th International Conference on Machine Learning (ICML-19), pages 4733--4742, {PMLR}, 2019 | , , , , and ,
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On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics, in: Discovery Science, pages 96--111, Springer International Publishing, 2019 | , and ,
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Predicting and Forecasting the Lifetime of Automotive Vehicle Components, in: 29. VDI-Fachtagung Technische Zuverlässigkeit 2019, Düsseldorf, pages 321-336, VDI Wissensforum GmbH, 2019 | , and ,
2018
Analysis and Optimization of Deep Counterfactual Value Networks, in: KI 2018: Advances in Artificial Intelligence, pages 305--312, Springer International Publishing, 2018 | and ,
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auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus, in: Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC 2018), Miyazaki, Japan, pages 3228-3233, 2018 | ,
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Batchwise Patching of Classifiers, in: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), pages 3374--3381, 2018 | and ,
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Dynamic Classifier Chain with Random Decision Trees, in: Proceedings of the 21st International Conference of Discovery Science (DS-18), Limassol, Cyprus, pages 33--50, Springer-Verlag, 2018 | and ,
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Estimating Summary Quality with Pairwise Preferences, in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), New Orleans, USA, pages 1687-1696, Association for Computational Linguistics, 2018 | ,
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Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules, in: PAKDD 2018: Advances in Knowledge Discovery and Data Mining, pages 29--42, Springer International Publishing, 2018 | , and ,
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Exploiting Maneuver Dependency for Personalization of a Driver Model, in: Proceedings of the Conference ``Lernen, Wissen, Daten, Analysen'' ({LWDA}-18), pages 93--97, CEUR-WS.org, 2018 | and ,
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Preference-Based Monte Carlo Tree Search, in: Proceedings of the 41st German Conference on Artficial Intelligence (KI-18), pages 327--340, Springer, 2018 | , and ,
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Using Past Maneuver Executions for Personalization of a Driver Model, in: Proceedings of the 21th IEEE International Conference on Intelligent Transportation Systems (ITSC-18), Maui, Hawaii, pages 742--748, IEEE, 2018 | and ,
What’s important in a text? An extensive evaluation of linguistic annotations for summarization, in: Proceedings of the 5th International Conference on Social Networks Analysis, Management and Security (SNAMS-18), Valencia, Spain, pages 272--277, 2018 | , , , , , , , , and ,
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Which Scores to Predict in Sentence Regression for Text Summarization?, in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), pages 1782--1791, 2018 | , and ,
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2017
Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression, in: Proceedings of the 20th International Conference on Discovery Science (DS-17), Kyoto, Japan, Springer-Verlag, 2017 | , and ,
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Multi-Objective Optimisation-based Feature Selection for Multi-Label Classification, in: Proceedings of the 22nd International Conference on Natural Language and Information Systems (NLDB-17), pages 38--41, Springer-Verlag, 2017 | , , and ,
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Time-to-Lane-Change Prediction with Deep Learning, in: Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems (ITSC-17), IEEE, 2017 | , , and ,
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2016
All-in Text: Learning Document, Label, and Word Representations Jointly, in: Proceedings of the 30th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, pages 1948--1954, AAAI Press, 2016 | , and ,
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Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization, in: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, Berlin, Germany, pages 84-94, Association for Computational Linguistics, 2016 | , and ,
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DeepRED -- Rule Extraction from Deep Neural Networks, in: Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19--21, 2016, Proceedings, pages 457--473, Springer International Publishing, 2016 | , and ,
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Evaluating and mitigating a Collusive version of the Interest Flooding Attack in NDN, in: Proceedings of the {IEEE} Symposium on Computers and Communication, {ISCC-16}, pages 938--945, {IEEE} Computer Society, 2016 | and ,
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Improve Sentiment Analysis of Citations with Author Modelling, in: Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA@NAACL-HLT-16), pages 122--127, The Association for Computer Linguistics, 2016 | , and ,
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Improving Cargo Train Availability with Predictive Maintenance: An Overview and Prototype Implementation, in: AET Papers Repository, Association for European Transport, 2016 | ,
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Medical Concept Embeddings via Labeled Background Corpora, in: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pages 4629--4636, European Language Resources Association (ELRA), 2016 | , and ,
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Model-Free Preference-based Reinforcement Learning, in: Proceedings of the 30th {AAAI} Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, pages 2222--2228, 2016 | , and ,
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Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype, in: Proceedings of the 19th International Conference on Discovery Science (DS-16), Bari, Italy, pages 151--166, Springer-Verlag, 2016 | , and ,
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Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization, in: Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, pages 1071-1082, The COLING 2016 Organizing Committee, 2016 | , and ,
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Shorter Rules Are Better, Aren't They?, in: Proceedings of the 19th International Conference on Discovery Science (DS-16), pages 279--294, Springer-Verlag, 2016 | , and ,
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The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach, in: Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, pages 1535-1545, The COLING 2016 Organizing Committee, 2016 | , and ,
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Using Semantic Similarity for Multi-Label Zero-Shot Classification of Text Documents, in: Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN-16), d-side publications, 2016 | , , and ,
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What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation, in: Proceedings of the 26th International Conference on Computational Linguistics (COLING-16), pages 3199--3208, ACL, 2016 | , and ,
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2015
CoMon: An architecture for coordinated caching and cache-aware routing in CCN, in: Proceedings of the 12th Annual {IEEE} Consumer Communications and Networking Conference, (CCNC-15), pages 663--670, {IEEE}, 2015 | and ,
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On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application, in: Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., pages 121-132, CEUR Workshop Proceedings, 2015 | , and ,
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Predicting Unseen Labels using Label Hierarchies in Large-Scale Multi-label Learning, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, pages 102-118, Springer International Publishing, 2015 | , , and ,
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SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time, in: The Twenty-Fourth Text Retrieval Conference Proceedings, Gaithersburg, Maryland, USA, National Institute of Standards and Technology, 2015 | ,
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Simultaneous Feature Selection and Parameter Optimization Using Multi-objective Optimization for Sentiment Analysis, in: Proceedings of the 12th International Conference on Natural Language Processing (ICON), Trivandrum, India, pages 285--294, NLP Association of India, 2015 | , and ,
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2014
Evaluating Multi-label Classification of Incident-related Tweets, in: Proceedings, 4th Workshop on Making Sense of Microposts {(\#Microposts2014)} at WWW: Big things come in small packages, pages 26--33, 2014 | , , and ,
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Graded Multilabel Classification by Pairwise Comparisons, in: 2014 IEEE International Conference on Data Mining (ICDM 2014), pages 731--736, Curran Associates, IEEE, 2014 | , and ,
[DOI] |
Large-Scale Multi-label Text Classification - Revisiting Neural Networks, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 2, pages 437--452, Springer Berlin Heidelberg, 2014 | , , , and ,
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Learning Semantically Coherent Rules, in: Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), pages 49--63, CEUR Workshop Proceedings, 2014 | , and ,
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Learning to Predict Component Failures in Trains, in: Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, pages 71--82, CEUR Workshop Proceedings, 2014 | , , and ,
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Preference Learning from Annotated Game Databases, in: Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, pages 57--68, CEUR-WS.org, 2014 | and ,
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2013
A Policy Iteration Algorithm for Learning from Preference-based Feedback, in: Advances in Intelligent Data Analysis XII: 12th International Symposium (IDA-13), pages 427--437, Springer-Verlag, 2013 | and ,
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EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning, in: Proceedings of the 5th Asian Conference on Machine Learning, (ACML-13), pages 483--497, JMLR.org, 2013 | and ,
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Learning from Trajectory-Based Action Preferences, in: Proceedings of the ICRA 2013 Workshop on Autonomous Learning, Karslruhe, 2013 | and ,
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Learning multi-labeled bioacoustic samples with an unsupervised feature learning approach, in: Proceedings of Neural Information Scaled for Bioacoustics, from Neurons to Big Data, NIPS Int. Conf., pages 184-189, 2013 | , and ,
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Preference-Based Reinforcement Learning: A Preliminary Survey, in: Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning from Generalized Feedback: Beyond Numeric Rewards, 2013 | and ,
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Towards Multilabel Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2013, pages 155--158, 2013 | and ,
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Using Data Mining on Linked Open Data for Analyzing E-Procurement Information, in: Proceedings of the first DMoLD: Data Mining on Linked Data Workshop at ECML/PKDD2013, 2013 | , , and ,
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2012
An Architecture for Information Exchange based on Reference Models, in: 4th International Conference on Software Language Engineering (SLE 2011), 2012 | , , and ,
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Automatic Classification and Relationship Extraction for Multi-Lingual and Multi-Granular Events from Wikipedia, in: Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2012), pages 1-10, 2012 | , and ,
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Combining Government and Linked Open Data in Emergency Management, in: AI Mashup Challenge, 2012 | and ,
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Crisis Information Management in the Web 3.0 Age, in: 9th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2012 | , and ,
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Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction, in: Proceedings of the 15th International Conference on Discovery Science (DS-12), pages 254--267, Springer, 2012 | and ,
[DOI] |
Explain-a-LOD: Using Linked Open Data for Interpreting Statistics, in: International Conference on Intelligent User Interfaces (IUI 2012), pages 313-314, 2012 | ,
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First Steps Towards Learning from Game Annotations, in: Proceedings of the {ECAI} Workshop on Preference Learning: Problems and Applications in AI, Montpellier, pages 53-58, 2012 | and ,
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Generating Possible Interpretations for Statistics from Linked Open Data, in: 9th Extended Semantic Web Conference (ESWC), pages 560-574, 2012 | ,
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Hertuda results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 | ,
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HotMatch results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 | , , , , , , and ,
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Multi-label LeGo -- Enhancing Multi-label Classifiers with Local Patterns, in: Advances in Intelligent Data Analysis XI -- Proceedings of the 11th International Symposium on Data Analysis (IDA-11), Berlin, pages 114--125, Springer, 2012 | , , and ,
[DOI] |
Nobody Wants to Live in a Cold City where no Music Has Been Recorded - Analyzing Statistics with Explain-a-LOD, in: 9th Extended Semantic Web Conference (ESWC), Workshops and Demos, pages 387-391, 2012 | ,
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Ontologiebasierte Applikationsintegration auf Nutzerschnittstellenebene, in: Ausgezeichnete Informatikdissertationen 2011, pages 133-142, 2012 | ,
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Towards Rule Learning Approaches to Instance-based Ontology Matching, in: 1st International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD), pages 13--18, 2012 | , , and ,
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Unsupervised Generation of Data Mining Features from Linked Open Data, in: International Conference on Web Intelligence and Semantics (WIMS'12), 2012 | and ,
[DOI] |
WeSeE-Match results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 | ,
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Why the Semantic Web Should Become More Imprecise, in: What will the Semantic Web look like 10 years from now?, 2012 | and ,
WikiMatch - Using Wikipedia for Ontology Matching, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 | and ,
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WikiMatch results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 | and ,
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2011
A Formal Ontology on User Interfaces - Yet Another User Interface Description Language?, in: Proceedings of the Second Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS), 2011 | and ,
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A Service-oriented Architecture for Emergency Management Systems, in: Software Engineering 2011 - Workshopband, pages 225-232, 2011 | , , , , , and ,
A Visual Tool for Supporting Developers in Ontology-based Application Integration, in: 7th International Workshop on Semantic Web Enabled Software Engineering, 2011 | and ,
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Developing Efficient Ontology-based Systems Using A-box Data from Running Applications, in: 7th International Workshop on Semantic Web Enabled Software Engineering, 2011 | and ,
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Heuristic Rule-Based Regression via Dynamic Reduction to Classification, in: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), Barcelona, Spain, pages 1330--1335, 2011 | and ,
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Improving the Usability of Integrated Applications by Using Visualizations of Linked Data, in: Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'11), 2011 | ,
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Learning from Label Preferences, in: Proceedings of the 14th International Conference on Discovery Science (DS-11), pages 2--17, Springer, 2011 | and ,
[DOI] |
Learning from Label Preferences, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory (ALT-11), pages 38, Springer, 2011 | and ,
[DOI] |
LiCoRMS – Towards a Resource Management System Based on Lifecycle and Content Information, in: 7th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2011), pages 292-295, 2011 | , and ,
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Mapping Pragmatic Class Models to Reference Ontologies, in: The 2011 IEEE 27th International Conference on Data Engineering Workshops - 2nd International Workshop on Data Engineering meets the Semantic Web (DESWeb), pages 200-205, 2011 | , , and ,
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Ontology-based Information Visualization in Integrated UIs, in: Proceedings of the 2011 International Conference on Intelligent User Interfaces (IUI), pages 451-452, ACM, 2011 | and ,
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Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning, in: Proceedings of the 22nd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011, Athens, Greece), Part I, pages 312--327, Springer, 2011 | , , and ,
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Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier, in: Proceedings of the 14th International Conference on Discovery Science (DS-11), pages 323--334, Springer, 2011 | and ,
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SoKNOS - Using Semantic Technologies in Disaster Management Software, in: The Semantic Web: Research and Applications (ESWC 2011), Part II, pages 183-197, 2011 | , , , , and ,
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Towards a Formalization of Individual Work Execution at Computer Workplaces, in: 19th International Conference on Conceptual Structures (ICCS 2011), pages 270-283, 2011 | , , and ,
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Towards an Automatic Parameterization of Ontology Matching Tools based on Example Mappings, in: Sixth International Workshop on Ontology Matching, 2011 | and ,
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2010
A Moderately Successful Attempt to Train Chess Evaluation Functions of Different Strengths, in: Proceedings of the ICML-10 Workshop on Machine Learning and Games, 2010 | and ,
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An Evaluation of Multilabel Classification for the Automatic Annotation of Texts, in: Proceedings of the LWA 2010: Lernen, Wissen, Adaptivität, Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML 2010), Kassel, pages 121-123, 2010 | ,
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Efficient Semantic Event Processing: Lessons Learned in User Interface Integration, in: The Semantic Web: Research and Applications, Part II, pages 60-74, Springer, 2010 | ,
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Exploiting Code Redundancies in ECOC, in: Proceedings of the 13th International Conference on Discovery Science (DS-10), pages 266--280, Springer, 2010 | , and ,
[DOI] |
Geospatial Web Mining for Emergency Management, in: GIScience 2010 - Extended Abstracts, 2010 | , , , , and ,
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Improving UI Integration with Formal Semantics, in: Proceedings of the Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS), 2010 | and ,
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Multilabel Classification in Parallel Tasks, in: Working Notes of the 2nd International Workshop on Learning from Multi-Label Data at ICML/COLT 2010, Haifa, Israel, pages 29-36, 2010 | ,
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Probability Estimation and Aggregation for Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2010, Kassel, Germany, pages 143--150, 2010 | and ,
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Seamless Integration of Heterogeneous UI Components, in: Proceedings of the 2nd ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2010), pages 303-308, ACM, 2010 | and ,
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Seamlessly Integrated, but Loosely Coupled - Building UIs from Heterogeneous Components, in: ASE '10: Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, Antwerp, Belgium, pages 123--126, ACM, 2010 | ,
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Separate-and-conquer Regression, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2010, Kassel, Germany, pages 81--89, 2010 | and ,
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SoKNOS -- Informationsdienste für das Katastrophenmanagement, in: VDE Kongress 2010 - E-Mobility (CD ROM), VDE Verlag, 2010 | , , and ,
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2009
A Framework for Ontologies-based User Interface Integration, in: ISWC 2009 - Posters and Demos, 2009 | and ,
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A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, in: Proceedings of the SIAM International Conference on Data Mining (SDM-09), pages 329--340, 2009 | and ,
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A Study of Probability Estimation Techniques for Rule Learning, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-09 Workshop (LeGo-09), pages 123--138, 2009 | and ,
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An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules, in: Proceedings of the 12th International Conference on Discovery Science (DS-09), Porto, Portugal, pages 317--331, Springer-Verlag, 2009 | and ,
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An Exploitative Monte-Carlo Poker Agent, in: Proceedings of the 32nd Annual German Conference on Artificial Intelligence (KI 2009, Paderborn, Germany), pages 65--72, Springer, 2009 | , , and ,
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An Exploitative Monte-Carlo Poker Agent, in: Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), pages 100--104, 2009 | , , and ,
Binary Decomposition Methods for Multipartite Ranking, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-09), pages 359--374, Springer-Verlag, 2009 | , and ,
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Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification, in: Proceedings of the 20th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009, Bled, Slovenia), Part II, pages 189--204, Springer, 2009 | and ,
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Efficient Voting Prediction for Pairwise Multilabel Classification, in: Proceedings of the 17th European Symposium on Artificial Neural Networks (ESANN 2009, Bruges, Belgium), pages 117--122, d-side publications, 2009 | , and ,
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Efficient Voting Prediction for Pairwise Multilabel Classification, in: Proceedings of the LWA 2009: Lernen - Wissen - Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), Darmstadt, Germany, pages 72--75, 2009 | , and ,
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Improving Usability of Integrated Emergency Response Systems: The SoKNOS Approach, in: Informatik 2009: Im Focus das Leben, Beiträge der 39. Jahrestagung der Gesellschaft füur Informatik e.V. (GI), 28.9.-2.10.2009, Lübeck, Proceedings, pages 1435-1349, GI, 2009 | , , , and ,
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On Table Extraction from Text Sources with Markups, in: Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Information Retrieval (WIR-09), pages 1--8, 2009 | and ,
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On the Combination of Two Decompositive Multi-Label Classification Methods, in: Proceedings of the ECML PKDD 2009 Workshop on Preference Learning (PL-09, Bled, Slovenia), pages 114--129, 2009 | , , , and ,
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Ontologies for User Interface Integration, in: The Semantic Web - ISWC 2009, 8th International Semantic Web Conference, ISWC 2009, Chantilly, VA, USA, October 25-29, 2009. Proceedings, pages 973-981, Springer, 2009 | ,
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Ontology-based modularization of user interfaces, in: Proceedings of the 1st ACM SIGCHI symposium on Engineering Interactive Computing System , EICS 2009, Pittsburgh, PA, USA, July 15-17, 2009, pages 23-28, ACM, 2009 | ,
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Segmentation of legal documents, in: Proceedings of the 12th International Conference on Artificial Intelligence and Law, Barcelona, Spain, pages 88--97, ACM, 2009 | ,
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2008
A Comparison of Techniques for Selecting and Combining Class Association Rules, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-08 Workshop (LeGo-08), pages 154--168, 2008 | and ,
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A Comparison of Techniques for Selecting and Combining Class Association Rules, in: Proceedings of the LWA 2008: Lernen -- Wissen -- Adaption, pages "", 2008 | and ,
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2008, pages 42-50, 2008 | and ,
An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics, in: Proceedings of the 11th International Conference on Discovery Science (DS-08), pages 40--51, Springer-Verlag, 2008 | and ,
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An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain, in: Proceedings of the LREC 2008 Workshop on Semantic Processing of Legal Texts, pages 23-32, 2008 | and ,
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Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Disocvery in Databases (ECML-PKDD-2008), Part II, pages 50--65, Springer, 2008 | and ,
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From Local Patterns to Global Models: The LeGo Approach to Data Mining, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-08 Workshop (LeGo-08), pages 1--16, 2008 | , , and ,
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Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach, in: Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI-08), pages 636--645, Springer-Verlag, 2008 | , and ,
Multi-Label Classification with Label Constraints, in: Proceedings of the ECML PKDD 2008 Workshop on Preference Learning (PL-08, Antwerp, Belgium), pages 157--171, 2008 | and ,
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On Applying Matching Tools to Large-scale Ontologies, in: Proceedings of the 3rd International Workshop on Ontology Matching (OM-2008) Collocated with the 7th International Semantic Web Conference (ISWC-2008), Karlsruhe, Germany, October 26, 2008, CEUR-WS.org, 2008 | ,
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Pairwise Learning of Multilabel Classifications with Perceptrons, in: Proceedings of the 2008 IEEE International Joint Conference on Neural Networks (IJCNN-08), IEEE, pages 2900--2907, 2008 | and ,
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2007
An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain, in: Proceedings of the LWA 2007: Lernen - Wissen - Adaption, pages 126--132, 2007 | and ,
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Context-Sensitive Referencing for Ontology Mapping Disambiguation, in: Workshop on Contexts and Ontologies: Reasoning and Representation (C&O:RR-2007), pages 47-56, 2007 | , and ,
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Context-Sensitive Semantic Synchronization in Electronic Negotations, in: Group Decision and Negotiation Meeting, pages 253-264, 2007 | , and ,
Dynamic Semantic Synchronization in E-Business, in: 1st European Semantic Technology Conference (ESTC), 2007 | , and ,
Efficient Pairwise Classification, in: Proceedings of the 18th European Conference on Machine Learning (ECML 2007, Warsaw, Poland), pages 658--665, Springer-Verlag, 2007 | and ,
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Meta-Learning Rule Learning Heuristics, in: Proceedings of ECML-PKDD-07 Workshop on Planning to Learn (PlanLearn-07), pages 9-21, 2007 | and ,
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Meta-Learning Rule Learning Heuristics, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2007, pages 167--174, 2007 | and ,
On Meta-Learning Rule Learning Heuristics, in: Proceedings of the 7th IEEE International Conference on Data Mining (ICDM-07), pages 529--534, 2007 | and ,
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On Minimizing the Position Error in Label Ranking, in: Proceedings of 18th European Conference on Machine Learning (ECML-07), pages 583--590, Springer-Verlag, 2007 | and ,
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On Pairwise Naive Bayes Classifiers, in: Proceedings of 18th European Conference on Machine Learning (ECML-07), pages 371--381, Springer-Verlag, 2007 | , and ,
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2006
A Unified Model for Multilabel Classification and Ranking, in: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI-06), pages 489--493, 2006 | , and ,
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Case-Based Label Ranking, in: Proceedings of the 17th European Conference on Machine Learning (ECML-06), pages 566--573, Springer-Verlag, 2006 | and ,
Improving the Ranking Performance of Decision Trees, in: Proceedings of the 17th European Conference on Machine Learning (ECML-06), pages 461--472, Springer-Verlag, 2006 | and ,
On Trading Off Consistency and Coverage in Inductive Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2006, pages 306--313, Gesellschaft für Informatik e. V. (GI), 2006 | and ,
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Pattern Teams, in: Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-06), pages 577--584, Springer-Verlag, 2006 | and ,
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2005
Changing the perspective: Interaction scenarios that take the needs of the machine into account, in: Int.\ Workshop on Perspectives of Intelligent System's Assistence, Idea Group, 2005 | and ,
From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms, in: Local Pattern Detection, pages 20--38, Springer-Verlag, 2005 | ,
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Learning Label Preferences: Ranking Error versus Position Error, in: Advances in Intelligent Data Analysis: Proceedings of the 6th International Symposium (IDA-05), pages 180--191, Springer-Verlag, 2005 | and ,
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Link-local Features for Hypertext Classification, in: Proceedings of the European Web Mining Forum (EWMF-05): Workshop at ECML/PKDD-05, pages 40--51, 2005 | and ,
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Millions of Random Rules, in: Proceedings of the ECML/PKDD Workshop on Advances in Inductive Rule Learning, 2005 | , and ,
On Position Error and Label Ranking through Iterated Choice, in: {LWA 2005, Lernen Wissensentdeckung Adaptivität}, pages 158--163, German Research Center for Artificial Intelligence (DFKI), 2005 | , and ,
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2004
Adaptation to the Learners' Needs and Desires by Induction and Negotiation of Hypotheses, in: International Conference on Interactive Computer Aided Learning, ICL 2004, Sept.\ 29 -- Oct.\ 1, 2004, Villach, Austria (CD-ROM), 2004 | , and ,
An Analysis of Stopping and Filtering Criteria for Rule Learning, in: Proceedings of the 15th European Conference on Machine Learning (ECML-04), pages 123--133, Springer-Verlag, 2004 | and ,
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Comparison of Ranking Procedures in Pairwise Preference Learning, in: Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-04), 2004 | and ,
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DaMiT: Data Mining lernen und lehren, in: LWA 2004, Lernen -- Wissensentdeckung -- Adaptivität, 4.-6.Oktober 2004, Humboldt-Universität zu Berlin, pages 171--179, 2004 | , , and ,
Learning by Doing and Learning When Doing. Dovetailing E-Learning and Decision Support with a Data Mining Tutor, in: Sixth International Conference on Enterprise Information Systems, ICEIS 2004, Porto, Portugal, April 14-17, 2004, Proceedings, Vol. 5, pages 238--241, INSTICC, 2004 | , , , , and ,
Modeling Rule Precision, in: Lernen -- Wissensentdeckung --- Adaptivität. Proceedings of the LWA-04 Workshops, pages 147--154, 2004 | ,
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Modeling Rule Precision, in: Proceedings of the ECML/PKDD-04 Workshop on Advances in Inductive Rule Learning, pages 30--45, 2004 | ,
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Ranking by Pairwise Comparison: A Note on Risk Minimization, in: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-04), 2004 | and ,
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Technology Enhanced Dimensions in e-Learning, in: International Conference on Interactive Computer Aided Learning, ICL 2004, Sept.\ 29 -- Oct.\ 1, 2004, Villach, Austria (CD-ROM), 2004 | , , , , and ,
Work-Integrated E-Learning -- The DaMiT Approach, in: 49.\ Internationales Wissenschaftliches Kolloquium, TU Ilmenau, 27.-30.\ September 2004, Conference Proceedings, Volume 2, pages 333--339, Shaker Verlag, 2004 | , , , , and ,
2003
An Analysis of Rule Evaluation Metrics, in: Proceedings of the 20th International Conference on Machine Learning (ICML-03), pages 202--209, AAAI Press, 2003 | and ,
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Combining Pairwise Classifiers with Stacking, in: Advances in Intelligent Data Analysis: Proceedings of the 5th International Symposium (IDA-03), pages 219--229, Springer-Verlag, 2003 | and ,
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Pairwise Preference Learning and Ranking, in: Proceedings of the 14th European Conference on Machine Learning (ECML-03), pages 145--156, Springer-Verlag, 2003 | and ,
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Pairwise Preference Learning and Ranking, in: Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, 2003 | and ,
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2002
A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning, in: Proceedings of the 13th European Conference on Algorithmic Learning Theory (ALT-02), pages 263--277, Springer-Verlag, 2002 | ,
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Pairwise Classification as an Ensemble Technique, in: Proceedings of the 13th European Conference on Machine Learning (ECML-02), pages 97--110, Springer-Verlag, 2002 | ,
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2001
An Evaluation of Grading Classifiers, in: Advances in Intelligent Data Analysis: Proceedings of the 4th International Conference (IDA-01), pages 115--124, Springer-Verlag, 2001 | and ,
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An Evaluation of Landmarking Variants, in: Proceedings of the ECML/PKDD Workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning (IDDM-2001), pages 57--68, 2001 | and ,
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Detecting Temporal Change in Event Sequences: An Application to Demographic Data, in: Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD-01), pages 29--41, Springer-Verlag, 2001 | , , and ,
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Round Robin Rule Learning, in: Proceedings of the 18th International Conference on Machine Learning (ICML-01), pages 146--153, Morgan Kaufmann Publishers, 2001 | ,
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2000
Learning to Use Operational Advice, in: Proceedings of the 14th European Conference on Artificial Intelligence (ECAI-00), pages 291--295, IOS Press, 2000 | , , and ,
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1999
Exploiting Structural Information for Text Classification on the WWW, in: Advances in Intelligent Data Analysis: Proceedings of the 3rd International Symposium (IDA-99), pages 487--497, Springer-Verlag, 1999 | ,
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Learning to Make Good Use of Operational Advice, in: Proceedings of the ICML-99 Workshop on Machine Learning in Game Playing, 1999 | , , and ,
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1998
A Case Study in Using Linguistic Phrases for Text Categorization on the WWW, in: Learning for Text Categorization: Proceedings of the 1998 AAAI/ICML Workshop, pages 5--12, AAAI Press, 1998 | , and ,
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1997
Dimensionality Reduction in ILP: A Call to Arms, in: Proceedings of the IJCAI-97 Workshop on Frontiers of Inductive Logic Programming, pages 81--86, 1997 | ,
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Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them, in: Learning, Networks and Statistics: Proceedings of the ISSEK-96 Workshop, pages 209--225, Springer-Verlag, 1997 | , , and ,
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More Efficient Windowing, in: Proceedings of the 14th National Conference on Artificial Intelligence (AAAI-97), pages 509-514, AAAI Press, 1997 | ,
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Noise-Tolerant Windowing, in: Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97), pages 852--857, Morgan Kaufmann, 1997 | ,
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On Effort in AI Research: A Description Along Two Dimensions, in: Deep Blue Versus Kasparov: The Significance for Artificial Intelligence: Papers from the 1997 AAAI Workshop, pages 56--62, AAAI Press, 1997 | and ,
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1996
An application of ILP in a Musical Database: Learning to Compose the Two-Voice Counterpoint, in: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming (ILP for KDD), 1996 | , and ,
Application of Clausal Discovery to Temporal Databases, in: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming, pages 25--40, 1996 | ,
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases, in: Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96), pages 453--457, John Wiley \& Sons, 1996 | , and ,
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Direct Access of an ILP Algorithm to a Database Management System, in: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming, pages 95--110, 1996 | and ,
Relational Knowledge Discovery in Databases, in: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming, pages 111--124, 1996 | and ,
1995
A Tight Integration of Pruning and Learning (Extended Abstract), in: Proceedings of the 8th European Conference on Machine Learning (ECML-95), pages 291--294, Springer-Verlag, 1995 | ,
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1994
A Comparison of Pruning Methods for Relational Concept Learning, in: Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop (KDD-94), pages 371--382, AAAI Press, 1994 | ,
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Incremental Reduced Error Pruning, in: Proceedings of the 11th International Conference on Machine Learning (ML-94), pages 70--77, Morgan Kaufmann, 1994 | and ,
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Pruning Methods for Rule Learning Algorithms, in: Proceedings of the 4th International Workshop on Inductive Logic Programming (ILP-94), pages 321--336, 1994 | ,
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Top-Down Pruning in Relational Learning, in: Proceedings of the 11th European Conference on Artificial Intelligence (ECAI-94), pages 453--457, John Wiley \& Sons, 1994 | ,
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{\sc Fossil}: {A} Robust Relational Learner, in: Proceedings of the 7th European Conference on Machine Learning (ECML-94), pages 122--137, Springer-Verlag, 1994 | ,
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1993
Avoiding Noise Fitting in a {\sc Foil}-like Learning Algorithm, in: Proceedings of the IJCAI-93 Workshop on Inductive Logic Programming, pages 14--23, 1993 | ,
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2021
Boosted Rule Learning for Multi-Label Classification using Stochastic Gradient Descent, TU Darmstadt, 2021 | ,
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Count Modeling with Sum-Product Networks for Syndromic Surveillance, TU Darmstadt, 2021 | ,
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Deep Multi Instance-Learning zur Syndrom-Erkennung anhand von Daten aus Notaufnahmen, TU Darmstadt, 2021 | ,
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Scalable Histogram-based Induction of Gradient Boosted Multi-label Rules, TU Darmstadt, 2021 | ,
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2020
GPU-accelerated Learning of Gradient Boosted Multi-label Classification Rules, TU Darmstadt, 2020 | ,
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Linking of emergency room and infectious disease data using machine learning approaches, TU Darmstadt, Knowledge Engineering Group, 2020 | ,
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Optimizing Rule Selection in Random Forest Simplification, TU Darmstadt, 2020 | ,
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2019
Investigation of the Effect of Meteorological Data on Spatial Surveillance of Disease Outbreaks, TU Darmstadt, Knowledge Engineering Group, 2019 | ,
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Vorhersagen von räumlich korrelierten epidemiologischen Zeitreihen mittels Methoden der Statistik und des maschinellen Lernens, TU Darmstadt, Knowledge Engineering Group, 2019 | ,
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2017
Predicting harmful conditions with Hidden Markov Models, TU Darmstadt, 2017 | ,
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2016
Predictive Maintenance in a Railway Scenario using One-Class Support Vector Machines, TU Darmstadt, 2016 | ,
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2015
A Comparison Between the Usage of Flat and Structured Game Trees for Move Evaluation in Hearthstone, TU Darmstadt, Knowledge Engineering Group, 2015 | ,
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Machine Learning Approaches for Failure Type Detection and Predictive Maintenance, TU Darmstadt, Knowledge Engineering Group, 2015 | ,
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2014
Nutzung bahnbezogener Sensordaten zur Vorhersage von Wartungszyklen, TU Darmstadt, Knowledge Engineering Group, 2014 | ,
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2013
Analyse von Zeitreihen mit Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2013 | ,
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Outlier Detection in Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2013 | ,
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Transductive Pairwise Classification, TU Darmstadt, Knowledge Engineeering Group, 2013 | ,
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Wissensgewinn aus Spieldatenbanken, Knowledge Engineering Group, TU Darmstadt, 2013 | ,
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2012
Enabling Semantic Web Services for Desktop Environment, Knowledge Engineering Group, TU Darmstadt, 2012 | ,
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Enhancing a location-based recommendation system by enrichment with semantic web data, Knowledge Engineering Group, TU Darmstadt, 2012 | ,
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Entwicklung eines semantischen Browsers für Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2012 | ,
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Evaluation of Natural Language Processing Techniques for Sentiment Analysis on Tweets, Knowledge Engineering Group, TU Darmstadt, 2012 | ,
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Ontology Matching with Wikipedia, Knowledge Engineering Group, TU Darmstadt, 2012 | ,
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2011
Maschinelles Lernen zur Hautkrebs-Vorhersage, Knowledge Engineering Group, TU Darmstadt, 2011 | ,
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Verbesserungen des Perzeptron-Algorithmus, TU Darmstadt, Knowledge Engineering Group, 2011 | ,
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2010
Bidirectional Rule Learning, Knowledge Engineering Group, TU Darmstadt, 2010 | ,
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Determining Move Effects Without Explicit State Construction - Construction and Implementation of a GGP Agent, Knowledge Engineering Group, TU Darmstadt, 2010 | ,
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Implementierung und Evaluierung eines Greedy Association Rule Learners, TU Darmstadt, Knowledge Engineering Group, 2010 | ,
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Iterative Optimization of Rule Sets, TU Darmstadt, Knowledge Engineering Group, 2010 | ,
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Object Feature Coding: A Decomposition Framework Unifying Object and Label Ranking, Knowledge Engineering Group, TU Darmstadt, 2010 | ,
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Selbst lernendes qualitätssensitives Testmanagement, TU Darmstadt, Knowledge Engineering Group, 2010 | ,
2009
Informationsextraktion aus Lebensläufen, TU Darmstadt, Knowledge Engineering Group, 2009 | ,
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Interaktives Regellernen, TU Darmstadt, Knowledge Engineering Group, 2009 | ,
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2008
Paarweise Hierarchische Klassifikation, TU Darmstadt, Knowledge Engineering Group, 2008 | ,
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Skalierbarkeit von Ontology-Matching-Verfahren, TU Darmstadt, Knowledge Engineering Group, 2008 | ,
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Supervised Local Pattern Discovery, TU Darmstadt, Knowledge Engineering Group, 2008 | ,
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Vergleich von Pruning-Algorithmen für Regel-Lerner, TU Darmstadt, Knowledge Engineering Group, 2008 | ,
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2007
Design und Implementierung einer Entwicklungsumgebung für Regel-Lerner, TU Darmstadt, Knowledge Engineering Group, 2007 | ,
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2006
Analysis and Comparison of Existent Information Extraction Methods, TU Darmstadt, Knowledge Engineering Group, 2006 | ,
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Effiziente Klassifikation und Ranking mit paarweisen Vergleichen, TU Darmstadt, Knowledge Engineering Group, 2006 | ,
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Eine Untersuchung des Trade-Offs zwischen Precision and Coverage bei Regel-Lern-Heuristiken, TU Darmstadt, Knowledge Engineering Group, 2006 | ,
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Meta-Lernen einer Evaluierungs-Funktion für einen Regel-Lerner, TU Darmstadt, Knowledge Engineering Group, 2006 | ,
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Paarweiser Naive Bayes Klassifizierer, TU Darmstadt, 2006 | ,
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Paarweises Lernen von Multilabel-Klassifikationen mit dem Perzeptron-Algorithmus, TU Darmstadt, Knowledge Engineering Group, 2006 | ,
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Vergleich von AQ, CN2 und CN2 mit Weighted Covering, TU Darmstadt, Knowledge Engineering Group, 2006 | ,
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1991
Induktives Lernen durch Generieren von Decision Trees, Vienna University of Technology, 1991 | ,
2012
Multidimensional Ordered Mappings for Empirical Machine Learning Research, KDML 2012, 2012 | and ,
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2010
Integration of User Interface Components based on Ontologies and Rules, Reasoning Web Summer School - Supplementary Handouts, 2010 | ,
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2001
Inductive Rule Learning for Data and Web Mining, Habilitationsschrift, Technisch-Naturwissenschaftliche Fakult{\"a}t, Technische Universi{\"a}t Wien, 2001 | ,
1997
Learning Playing Strategies from Chess Endgame Databases: An ILP Approach, Unpublished, Leuven, 1997 | and ,
1995--2000
Bibliography on Machine Learning in Strategic Game Playing, \url{/~juffi/lig/}, 1995--2000 | ,
1994
The Potential Contribution of AI to the Avoidance of Crises and Wars: Bibliography, Unpublished Manuscript, 1994 | , and ,
The Potential Contribution of AI to the Avoidance of Crises and Wars: International Conflict Databases and Machine Learning, Unpublished Manuscript, 1994 | , and ,
1993
A Numerical Analysis of the KRK Domain, Working Note, 1993 | ,
Application of Machine Learning Methods to the KOSIMO Database, Paper presented at the International Workshop on the Potential Contribution of Artificial Intelligence to the Avoidance of Crises and Wars, Vienna, 1993 | ,
1990
Explanation-Based Learning in der Domäne Schach, Unpublished Manuscript, 1990 | ,
2019
Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains, Technische Universität, 2019 | ,
[URL] |
2012
Efficient Decomposition-Based Multiclass and Multilabel Classification, TU Darmstadt, 2012 | ,
[URL] |
Efficient Pairwise Multilabel Classification, Technische Universität Darmstadt, Knowledge Engineering Group, 2012 | ,
[URL] |
Heuristic Rule Learning, TU Darmstadt, Knowledge Engineering Group, 2012 | ,
[URL] |
1994
Efficient Pruning Methods for Relational Learning, Vienna University of Technology, 1994 | ,
[URL] |
2013
Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning with Generalized Feedback: Beyond Numeric Rewards, 2013 |
[URL] |
2012
Proceedings of the ECAI-12 Workshop on Preference Learning: Problems and Applications in AI (PL-12), 2012 |
|
2010
2009
2008
2006
Knowledge Discovery in Databases: PKDD 2006, Springer-Verlag, 2006 |
[URL] |
Machine Learning: ECML 2006, Springer-Verlag, 2006 |
[URL] |
2005
Intl.\ Workshop on Intuitive Human Interfaces for Organizing and Accessing Intellectual Assets, Proceedings, springer, 2005 |
[URL] |
LWA 2005, Lernen Wissensentdeckung Adaptivität, German Research Center for Artificial Intelligence (DFKI), 2005 |
[URL] |
2004
2003
Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, Austrian Research Institute for Artificial Intelligence, 2003 |
[URL] |
1999
Proceedings of the ICML-99 Workshop on Machine Learning in Game Playing, J. Stefan Institute (IJS), 1999 |
[URL] |
1996
Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming (ILP for KDD), 1996 |
[URL] |
2020
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains, Knowledge Engineering Group, Technische Universität Darmstadt, number 2006.08094 [cs.LG], ArXiv e-prints, 2020 | , and ,
[URL] |
2019
On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics, Knowledge Engineering Group, Technische Universität Darmstadt, number 1908.03032, ArXiv e-prints, 2019 | , and ,
[URL] |
Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy, Knowledge Engineering Group, Technische Universität Darmstadt, number 1911.04393, ArXiv e-prints, 2019 | , and ,
[URL] |
2017
Multi-Objective Optimisation-based Feature Selection for Multi-Label Classification, Knowledge Engineeering Group, TU Darmstadt, number TUD-KE-2017-01, 2017 | , , and ,
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2016
Informed Hybrid Game Tree Search, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2016–01, 2016 | , , , and ,
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2015
Advances in Predictive Maintenance for a Railway Scenario - Project Techlok, Knowledge Engineering Group, 2015 | , and ,
|
Evaluation of different Regression Learners under Asymmetric Loss for Predictive Maintenance, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2015–02, 2015 | , and ,
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2014
Data-driven Detection of Congestion-affected Roads, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2014–02, 2014 | , and ,
|
Graded Multilabel Classification by Pairwise Comparisons, Knowledge Engineering Group, Technische Universität Darmstadt, Technical Report, 2014 | , and ,
|
2012
Basic Instrument for Experimental Probes in Machine Learning, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2012–01, 2012 | and ,
|
Multi-label LeGo -- Enhancing Multi-label Classifiers with Local Patterns, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2012-02, 2012 | , , and ,
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2011
Margin Driven Separate and Conquer by Assymmetric Loss Functions, TU Darmstadt, Knowledge Engineering Group, number TUD–KE–2011–01, 2011 | and ,
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Unsupervised Generation of Data Mining Features from Linked Open Data, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2011-2, 2011 | and ,
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2010
A Moderately Successful Attempt to Train Chess Evaluation Functions of Different Strengths, TU Darmstadt, number TUD-KE-2010-07, 2010 | and ,
|
Exploiting Code-Redundancies in ECOC for Reducing its Training Complexity using Incremental and SVM Learners, TU Darmstadt, number TUD-KE-2010-06, 2010 | , and ,
|
Persistent Name Spaces for Uniform Experiments, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-04, 2010 | ,
[URL] |
Probability Estimation and Aggregation for Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-03, 2010 | and ,
|
Rule Stacking: An approach for compressing an ensemble of rule sets into a single classifier, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-05, 2010 | and ,
|
Separate-and-conquer Regression, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-01, 2010 | and ,
|
The SeCo-framework for rule learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-02, 2010 | and ,
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2009
A Comparison of Strategies for Handling Missing Values in Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-03, 2009 | and ,
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An Exploitative Monte-Carlo Poker Agent, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-02, 2009 | , , and ,
|
Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-01, 2009 | and ,
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Learning To Recognize Missing E-mail Attachments, Knowledge Engineering Group, TU Darmstadt, number TUD-KE-2009-05, 2009 | and ,
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Margin Driven Separate and Conquer by Working Set Expansion, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-06, 2009 | and ,
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2008
A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-02, 2008 | and ,
|
Advances in Efficient Pairwise Multilabel Classification, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-06, 2008 | , and ,
|
An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-03, 2008 | and ,
|
An Empirical Quest for Optimal Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-01, 2008 | and ,
|
Learning of Piece Values for Chess Variants, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-07, 2008 | and ,
|
Multi-Label Classification with Label Constraints, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-04, 2008 | and ,
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On Table Extraction from Text Sources with Markups, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-05, 2008 | and ,
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2007
Efficient Pairwise Classification and Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-03, 2007 | and ,
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From Local Patterns to Global Models: The LeGo Approach to Data Mining, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-06, 2007 | , , and ,
|
Label Ranking by Learning Pairwise Preferences, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-01, 2007 | , and ,
|
Meta-Learning Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-02, 2007 | and ,
|
On Minimizing the Position Error in Label Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-04, 2007 | and ,
|
Pairwise Learning of Multilabel Classifications with Perceptrons, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-05, 2007 | and ,
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2003
An Analysis of Rule Learning Heuristics, Department of Computer Science, University of Bristol, number CSTR-03-002, 2003 | and ,
[URL] |
Modeling Rule Precision, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2003-35, 2003 | ,
[URL] |
Pairwise Preference Learning and Ranking, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2003-14, 2003 | and ,
[URL] |
2002
A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-28, 2002 | ,
[URL] |
On the Use of Fast Subsampling Estimates for Algorithm Recommendation, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-36, 2002 | , , and ,
[URL] |
Pairwise Classification as an Ensemble Technique, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-20, 2002 | ,
[URL] |
Round Robin Ensembles, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-37, 2002 | ,
[URL] |
Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-33, 2002 | ,
[URL] |
2001
An Evaluation of Landmarking Variants, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-13, 2001 | and ,
[URL] |
Detecting Temporal Change in Event Sequences: An Application to Demographic Data, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-09, 2001 | , , and ,
[URL] |
Grading Classifiers, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-01, 2001 | and ,
[URL] |
Hyperlink Ensembles: A Case Study in Hypertext Classification, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-30, 2001 | ,
[URL] |
Round Robin Classification, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-18, 2001 | ,
[URL] |
Round Robin Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-02, 2001 | ,
[URL] |
User Profiling for the Melvil Knowledge Retrieval System, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-29, 2001 | , and ,
[URL] |
2000
Machine Learning in Games: A Survey, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2000-31, 2000 | ,
[URL] |
Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach, Max Planck Institute for Demographic Research, number WP 2000-010, MPIDR Working Paper, 2000 | , and ,
[URL] |
Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2000-30, 2000 | , and ,
[URL] |
1998
A Study Using $n$-gram Features for Text Categorization, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-98-30, 1998 | ,
[URL] |
Using Links for Classifying Web-Pages, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-98-29, 1998 | ,
[URL] |
1997
Dimensionality Reduction in ILP: A Call to Arms, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-26, 1997 | ,
[URL] |
Knowledge Discovery in Chess Databases: A Research Proposal, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-33, 1997 | ,
[URL] |
Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-10, 1997 | , , and ,
[URL] |
More Efficient Windowing, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-01, 1997 | ,
[URL] |
Noise-Tolerant Windowing, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-07, 1997 | ,
[URL] |
On Effort in AI Research: A Description Along Two Dimensions, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-25, 1997 | and ,
[URL] |
1996
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-10, 1996 | ,
[URL] |
Knowledge Discovery in International Conflict Databases, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-24, 1996 | , and ,
Machine Learning in Computer Chess: The Next Generation, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-11, 1996 | ,
[URL] |
Pruning Algorithms for Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-07, 1996 | ,
|
Separate-and-Conquer Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-25, 1996 | ,
[URL] |
1995
A Tight Integration of Pruning and Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-95-03, 1995 | ,
[URL] |
1994
A Comparison of Pruning Methods for Relational Concept Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-16, 1994 | ,
[URL] |
Incremental Reduced Error Pruning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-09, 1994 | and ,
[URL] |
Machine Learning Methods for International Conflict Databases: A Case Study in Predicting Mediation Outcome, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-33, 1994 | , , and ,
[URL] |
Pruning Methods for Rule Learning Algorithms, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-26, 1994 | ,
[URL] |
The Potential Contribution of AI to the Avoidance of Crises and Wars: Using CBR Methods with the KOSIMO Database of Conflicts, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-32, 1994 | , and ,
[URL] |
Top-Down Pruning in Relational Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-03, 1994 | ,
[URL] |
1993
Avoiding Noise Fitting in a {\sc Foil}-like Learning Algorithm, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-16, 1993 | ,
[URL] |
The Role of Qualitative Knowledge in Machine Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-09, 1993 | ,
[URL] |
{\sc Fossil}: {A} robust relational learner, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-28, 1993 | ,
[URL] |
2018
Analysis and Optimization of Deep Counterfactual Value Networks, Knowledge Engineering Group, Technische Universität Darmstadt, number 1807.00900, 2018 | and ,
[URL] |