All publications sorted by recency
| , Count Modeling with Sum-Product Networks for Syndromic Surveillance, TU Darmstadt, 2021 |
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| , Rule Extraction from Binary Neural Networks using DeepRED, TU Darmstadt, 2020 |
| , Structural Pruning of Sum-Product Networks, TU Darmstadt, 2021 |
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| , Boosted Rule Learning for Multi-Label Classification using Stochastic Gradient Descent, TU Darmstadt, 2021 |
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| , Optimizing Rule Selection in Random Forest Simplification, TU Darmstadt, 2020 |
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| , Scalable Histogram-based Induction of Gradient Boosted Multi-label Rules, TU Darmstadt, 2021 |
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| , GPU-accelerated Learning of Gradient Boosted Multi-label Classification Rules, TU Darmstadt, 2020 |
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| , Deep Multi Instance-Learning zur Syndrom-Erkennung anhand von Daten aus Notaufnahmen, TU Darmstadt, 2021 |
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| , , and , Correlation-based Discovery of Disease Patterns for Syndromic Surveillance (2021), in: Frontiers in Big Data |
| , , and , Correlation-based Discovery of Disease Patterns for Syndromic Surveillance (2021), in: CoRR, abs/2110.09208 |
[URL] |
| , , and , Sum-Product Networks for Early Outbreak Detection of Emerging Diseases, in: Artificial Intelligence in Medicine, pages 61--71, Springer International Publishing, 2021 |
| , and , A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance (2021), in: Computers, 10:3 |
[DOI] [URL] |
| , and , 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 |
[DOI] [URL] |
| , , and , Tree-Based Dynamic Classifier Chains (2021), in: Machine Learning Journal |
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| , , and , Gradient-Based Label Binning in Multi-Label Classification, in: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Springer, 2021 |
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| , and , Multi-target prediction: a unifying view on problems and methods (2019), in: Data Mining and Knowledge Discovery, 33:2(293--324) |
[DOI] [URL] |
| and , Reliable Multilabel Classification: Prediction with Partial Abstention (2020), in: Proceedings of the AAAI Conference on Artificial Intelligence, 34:04(5264-5271) |
[DOI] [URL] |
| , , and , Combining Predictions under Uncertainty: The Case of Random Decision Trees, in: Discovery Science, pages 78--93, Springer, 2021 |
[DOI] [URL] |
| , , and , 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 |
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| , , , and , 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 |
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| , , , , , , and , Risikostratifizierung durch Implementierung und Evaluation eines COVID-19-Scores (2020), in: Medizinische Klinik - Intensivmedizin und Notfallmedizin, 115(132–-138) |
[DOI] [URL] |
| , and , Revisiting Non-Specific Syndromic Surveillance (2021), in: CoRR, abs/2101.12246 |
[URL] |
| , Linking of emergency room and infectious disease data using machine learning approaches, TU Darmstadt, Knowledge Engineering Group, 2020 |
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| , Implementation and Hyperparameter Tuning of a Separate-and-Conquer Multi-Label Rule Learner, Knowledge Engineering Group, TU Darmstadt, 2020 |
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| , , and , Comparing Boosting and Bagging for Decision Trees of Rankings (2021), in: Journal of Classification |
[DOI] [URL] |
| , and , Conformal Rule-Based Multi-label Classification, in: KI 2020: Advances in Artificial Intelligence, Springer, Cham, 2020 |
[DOI] [URL] |
| , , and , Learning Structured Declarative Rule Sets — A Challenge for Deep Discrete Learning, in: 2nd Workshop on Deep Continuous-Discrete Machine Learning (DeCoDeML), 2020 |
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| , and , 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 |
[DOI] [URL] |
| , , , and , Rule-Based Multi-label Classification: Challenges and Opportunities, in: Rules and Reasoning, pages 3--19, Springer International Publishing, 2020 |
[DOI] [URL] |
| , Anomaly detection of timeseries: A comparison of statistical vs classical machine learning vs deep learning approaches, TU Darmstadt, 2019 |
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| , Layerwise Training of Deep Rule-Based Networks Using Stacking, Knowledge Engineering Group, TU Darmstadt, 2020 |
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| , and , 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 |
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| , , , and , Learning Gradient Boosted Multi-label Classification Rules, in: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pages 124--140, Springer, 2020 |
[DOI] [URL] |
| , , , and , A Flexible Class of Dependence-sensitive Multi-label Loss Functions (2021), in: Machine Learning Journal |
[URL] |
| , Investigation of the Effect of Meteorological Data on Spatial Surveillance of Disease Outbreaks, TU Darmstadt, Knowledge Engineering Group, 2019 |
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| , Learning Multi-Label Rules Using Bottom-Up Rule Induction, Knowledge Engineering Group, TU Darmstadt, 2020 |
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| , and , 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 |
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| , , and , 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 , On Aggregation in Ensembles of Multilabel Classifiers, in: Discovery Science, pages 533--547, Springer International Publishing, 2020 |
[DOI] [URL] |
| , and , 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 |
[DOI] [URL] |
| , Evaluierung eines Ki-Konzepts für Halite 2, Knowledge Engineering Group, TU Darmstadt, 2018 |
| , A Mahjong Agent, Knowledge Engineering Group, TU Darmstadt, 2018 |
| , Optimizing build order for Starcraft II, Knowledge Engineering Group, TU Darmstadt, 2018 |
| , Monte Carlo Tree Search with time dependent expectations, Knowledge Engineering Group, TU Darmstadt, 2019 |
| , Ordinal Reinforcement Learning, Knowledge Engineering Group, TU Darmstadt, 2019 |
| , K.I.-Entwicklung für moderne Brettspiele, Knowledge Engineering Group, TU Darmstadt, 2019 |
| , Analyse unterschiedlicher Belohnungen in der Monte-Carlo Baumsuche: Ein Vergleich von UCT und Ordinalen Selektionskriterien, Knowledge Engineering Group, TU Darmstadt, 2019 |
| , Monte Carlo Baumsuche für das Kartenspiel Machi Koro, Knowledge Engineering Group, TU Darmstadt, 2019 |
| , and , Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy, Knowledge Engineering Group, Technische Universität Darmstadt, number 1911.04393, ArXiv e-prints, 2019 |
[URL] |
| , Online Outlier Detection in Spacecraft Telemetry Data, TU Darmstadt, 2019 |
| , Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains, Technische Universität, 2019 |
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| , and , 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 |
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| , , , and , Towards Model-based Approximate Query Processing, in: Working Notes of the 1st International Workshop on Applied AI for Database Systems and Applications (held in conjunction with VLDB 2019), Los Angeles, USA, 2019 |
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| , and , 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 |
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| , , , , and , DeepDB: Learn from Data, not from Queries!, arXiv preprint arXiv:1909.00607, 2019 |
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| , , , and , Model-based Approximate Query Processing, arXiv preprint arXiv:1811.06224, 2018 |
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| , Maschinelles Lernen für das deterministische Zwei-Spieler Nullsummenspiel "Tak - A Beautiful Game", Knowledge Engineering Group, TU Darmstadt, 2019 |
| , Sentiment Classification of Chess Annotations, Knowledge Engineering Group, TU Darmstadt, 2019 |
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| , Combining Decision Tree Predictions under Consideration of Uncertainty, TU Darmstadt, Knowledge Engineering Group, 2019 |
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| , and , 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 |
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| , and , Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning, in: Discovery Science, pages 367--382, Springer International Publishing, 2019 |
[DOI] [URL] |
| , and , On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics, in: Discovery Science, pages 96--111, Springer International Publishing, 2019 |
[DOI] [URL] |
| , and , Advances in Machine Learning for the Behavioral Sciences (2020), in: American Behavioral Scientist, 64:2(145--175) |
[DOI] [URL] |
| , Prognose von Schachzügen mit Long Short-Term Memory Netzen, TU Darmstadt, Knowledge Engineering Group, 2019 |
| , Vorhersagen von räumlich korrelierten epidemiologischen Zeitreihen mittels Methoden der Statistik und des maschinellen Lernens, TU Darmstadt, Knowledge Engineering Group, 2019 |
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| , Evaluation of different rule learning algorithms, Knowledge Engineering Group, TU Darmstadt, 2019 |
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| , The effect of artificial subclass induction on classification performance, Knowledge Engineering Group, TU Darmstadt, 2019 |
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| , Driver Intention Prediction at Pedestrian Crossings - Development, Implementation and Validation of different Approaches, Knowledge Engineering Group, TU Darmstadt, 2019 |
| , Self-Imitation Regularization: Regularizing Neural Networks by Leveraging Their Dark Knowledge, TU Darmstadt, Knowledge Engineering Group, 2019 |
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| , Abbildung von Drei-Spieler-Situation in Zwei-Spieler-Situation im Texas-Hold’em-No-Limit-Poker, TU Darmstadt, Knowledge Engineering Group, 2019 |
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| , , , , and , 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 |
[URL] |
| , Feature Selection on Highly Redundant Multivariate Time Series, TU Darmstadt, 2019 |
| , Information Extraction from Data Sheets of Optical Network Devices, TU Darmstadt, 2019 |
| , Implementations of Optimization Methods on Patching Algorithm with Concept Drift, TU Darmstadt, 2019 |
| , Verteiltes Lernen von Patches für das Patching Ensemble, TU Darmstadt, 2019 |
| , Ensemble of Classifier Patches for Handling Recurrent Concept Drift, TU Darmstadt, 2019 |
| , Neural Network Patching for Data Streams with Concept Drift, TU Darmstadt, 2019 |
| , and , 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 , Driver Information Embedding with Siamese LSTM networks, in: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, IEEE, 2019 |
[DOI] [URL] |
| , Analysis of various sensor data for non driving related task detection in the context of automated driving, TU Darmstadt, 2019 |
| , and , Beta Distribution Drift Detection for Adaptive Classifiers, in: Proceedings of the 2019 European Symposium on Artificial Neural Networks -- ESANN'19, 2019 |
| , and , Patching Deep Neural Networks for Nonstationary Environments, in: Proceedings of the 2019 International Joint Conference on Neural Networks -- IJCNN'19, 2019 |
| , and , Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches, in: Proceedings of the 2019 International Joint Conference on Neural Networks -- IJCNN'19, 2019 |
| , Maschinelles Lernen zur Erkennung personenbezogener Daten in deutschsprachigen Textdokumenten, TU Darmstadt, Knowledge Engineering Group, 2018 |
[URL] |
| , Adversarial Attacks in Image Processing for Advanced Driver Assistance Systems, TU Darmstadt, Knowledge Engineering Group, 2018 |
| , Investigation of rating systems in competitive eSports, TU Darmstadt, Knowledge Engineering Group, 2018 |
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| , Methods for Understanding the Influence of Input Variables on the Decision of a Deep Artificial Neural Network, Knowledge Engineering Group, TU Darmstadt, 2018 |
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| , Discovery of Multilabel Rules by Relaxed Pruning, TU Darmstadt, Knowledge Engineering Group, 2018 |
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| , Evaluating Personalised Website Ranking Using Small Scale User Feedback: A User Study, TU Darmstadt, Knowledge Engineering Group, 2018 |
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| , Driver classification with LSTM networks using car telemetry data, driver head movement, and gaze tracking, TU Darmstadt, 2018 |
| , Ego-Vehicle velocity profile prediction at intersections in urban environment, TU Darmstadt, 2016 |
| and , Exploiting Maneuver Dependency for Personalization of Driver Assistance Systems, in: 12. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren. Uni-DAS, pages 106--115, 2018 |
[URL] |
| and , 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 |
[DOI] |
| and , 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 , ITS+DM Hackathon (ITSC 2017): Lane Departure Prediction with Naturalistic Driving Data (2019), in: IEEE Intelligent Transportation Systems Magazine, 11 |
[DOI] [URL] |
| , , , , , , , , and , UPA18: 3rd International Workshop on Ubiquitous Personal Assistance, in: Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp): Adjunct Publication, ACM, 2018 |
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| and , 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 |
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| , , , , , , , , 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 |
[DOI] [URL] |
| , A System for Mapping Text to Specific Reviewers, Knowledge Engineering Group, TU Darmstadt, 2018 |
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| , Label Ranking through Multi-Label Classification, Knowledge Engineering Group, TU Darmstadt, 2018 |
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| and , Analysis and Optimization of Deep Counterfactual Value Networks, Knowledge Engineering Group, Technische Universität Darmstadt, number 1807.00900, 2018 |
[URL] |
| and , Analysis and Optimization of Deep Counterfactual Value Networks, in: KI 2018: Advances in Artificial Intelligence, pages 305--312, Springer International Publishing, 2018 |
[DOI]
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| and , 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 |
[URL] |
| , and , Preference-Based Monte Carlo Tree Search, in: Proceedings of the 41st German Conference on Artficial Intelligence (KI-18), pages 327--340, Springer, 2018 |
[DOI] [URL] |
| , Entwicklung einer Applikation zur handschriftlichen Erweiterung des MNIST-Datensatzes, TU Darmstadt, 2018 |
| , Clustering of Error Regions for Patching Classifier, TU Darmstadt, 2018 |
| , Load Data Recorder: Design und Implementierung einer Methode zur Ermittlung von Lastkollektiven automobiler Bauteilkomponenten, TU Darmstadt, 2018 |
| , Classifying CGM Curves Using a Deep Neural Network to Improve Therapy Decisions of Diabetes Type I Patients, TU Darmstadt, 2018 |
| , Using LSTM Networks for the Prediction of Lane Change Maneuvers, TU Darmstadt, 2018 |
| , Predicting and Forecasting the Lifetime of Automotive Vehicle Components, TU Darmstadt, 2018 |
| , and , Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders, in: Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA-18), pages 131--136, IEEE, 2018 |
| and , More Data Matters: Improving CGM Prediction via Ubiquitous Data and Deep Learning, in: Proceedings of the 3rd International Workshop on Ubiquitous Personal Assistance (co-located with Ubicomp), pages 1 -- 8, 2018 |
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| , and , Leveraging Reproduction-Error Representations for Multi-Instance Classification, in: Proceedings of the 21st International Conference on Discovery Science - DS'18, Limassol, Cyprus, pages 83-95, Springer Nature Switzerland AG, 2018 |
[DOI] |
| , Entwicklung eines Schätzers für Rundenzeiten, basierend auf Zielwerte wie Energieverbrauch mit Methoden des maschinellen Lernens, TU Darmstadt, 2018 |
| , Object Detection and Semantic Segmentation for High-Resolution Flash Lidar (HFL) Sensors, TU Darmstadt, 2018 |
| and , The Need for Interpretability Biases, in: Proceedings of the 17th International Symposium on Intelligent Data Analysis (IDA-18), 's-Hertogenbosch, the Netherlands, pages 15--27, Springer-Verlag, 2018 |
[DOI] |
| , , and , Determining Factors for Slum Growth with Predictive Data Mining Methods (2018), in: Urban Science, 2:3(81:1--81:19) |
[DOI] [URL] |
| , Development of a dynamic termination criterion for UCT Game Tree Search, TU Darmstadt, Knowledge Engineering Group, 2018 |
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| , Multilabel-Klassifikationen durch das robuste Attributzuordnungsmodell und Abgrenzungsfilter, TU Darmstadt, Knowledge Engineering Group, 2018 |
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| , Analysis and Optimization of Deep Counterfactual Value Networks, TU Darmstadt, Knowledge Engineering Group, 2018 |
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| , , and , Learning Interpretable Rules for Multi-label Classification, in: Explainable and Interpretable Models in Computer Vision and Machine Learning, pages 81--113, Springer-Verlag, 2018 |
[DOI] [URL] |
| , and , 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 |
[DOI] [URL] |
| , Multi-Agenten-Simulation für Navigationsempfehlungen im Location-Based Game FrankfurtYard, Knowledge Engineering Group, TU Darmstadt, 2018 |
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| , Data-Driven Fault Detection and Isolation of Industrial Fluid Transfer Systems, TU Darmstadt, 2018 |
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| , Blood Glucose Prediction with Convolutional Neural Networks, TU Darmstadt, 2018 |
| , Predicting Blood Glucose Levels of Diabetes Patients, TU Darmstadt, 2018 |
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| , Time Series Analysis via Shapelet Generation, TU Darmstadt, 2018 |
| , Verbesserung des Patching Algorithmus durch Adaptive Windowing Techniken, TU Darmstadt, 2018 |
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| , Erstellung und Implementierung eines Konzepts zur Messung von Datenqualität für zustandsorientierte Instandhaltung von Güterzügen, TU Darmstadt, 2018 |
| , Development of a Conversational Recommender System in the Context of a Business Travel Chatbot, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , and , On Cognitive Preferences and the Plausibility of Rule-based Models (2018), in: arXiv preprint arXiv:1803.01316 |
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| and , Batchwise Patching of Classifiers, in: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), pages 3374--3381, 2018 |
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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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| , 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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| , and , 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 |
[DOI] [URL] |
| , Automated Ontology Refinement Using Compression-Based Learning, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , , and , Time-to-Lane-Change Prediction with Deep Learning, in: Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems (ITSC-17), IEEE, 2017 |
[DOI] [URL] |
| , Nachrichtenbasierte prädiktive Bewertung von Aktienhandelsstrategien, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Dynamic Multilabel Classification using Gradient Boosted Trees, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Visualizing chess position representations learned using convolutional autoencoders, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Intelligent Customer Support Using Case-Based Reasoning and Bayesian Inference, Knowledge Engineering Group, TU Darmstadt, 2017 |
| , Preference-based Monte Carlo Tree Search for Mulitplayer Domains, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Abstrakte Spielbaumsuche für General Game Playing, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Vorhersage von zukünftigem Slum-Wachstum durch Data Mining, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Finding dependencies between time series in satellite data, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Global Optimization using Monte Carlo Tree Search in discrete State Lattices, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Applying Monte-Carlo Methods for Chess Opening-Book Optimization, Knowledge Engineering Group, TU Darmstadt, 2017 |
| , Überblick und Implementierung von Algorithmen zur Klassifikation mittels Assoziationsregeln, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Domänen unabhängige Verbesserung für Monte-Carlo Evaluationen in MCTS, Knowledge Engineer Group, TU Darmstadt, 2017 |
| , Cross-Domain Hyper-parameter Transfer for an MCTS-based GVG-AI Agent, Knowledge Engineering Group, TU Darmstadt, 2017 |
| KI 2017: Advances in Artificial Intelligence, Springer-Verlag, 2017 |
[URL] |
| , Extensions of the Separate-and-Conquer Multilabel Rule Learner, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Multi-Label Klassifikation mit Hilfe einer dynamischen Klassifiziererkette, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , and , Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction, in: Proceedings of the 20th International Conference on Discovery Science (DS-17), pages 127--143, Springer-Verlag, 2017 |
[DOI]
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| , and , 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 |
[DOI] [URL] |
| , , and , Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification, in: Advances in Neural Information Processing Systems 30 (NIPS-17), pages 5419--5429, 2017 |
[URL] |
| , A concept for a modular sensorbased Predictive Maintenance system for Industry 4.0, TU Darmstadt, 2017 |
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| , Vehicle Sensor and Event Detection through Smartphone Acceleration Data, TU Darmstadt, 2017 |
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| , Interpretierbare Outlier Detection, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Identifying Innovative Firefighter Organizations, Nagaoka University of Technology and TU Darmstadt, 2017 |
| , Automatic Construction of a Multi-Document Summarization Corpus, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Training a multi-label FastXML classifier on the OpenImages dataset, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Driving Style Recognition: Literature Review and Application of Machine Learning, Knowledge Engineering Group, TU Darmstadt., 2017 |
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| , Dynamische f-Hat Suche in General Video Game Playing, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Ein einheitliches Spiel Such Framework, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , , , and , Informed Hybrid Game Tree Search (2018), in: IEEE Transactions on Games, 10:1(78--90) |
[DOI] [URL] |
| , Reconstruction of Boolean Functions from Deep Neural Networks, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Predicting harmful conditions with Hidden Markov Models, TU Darmstadt, 2017 |
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| , Predictive Maintenance: Vorhersage von Stromrichterausfällen bei Güterzügen, TU Darmstadt, 2017 |
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| , , and , Multi-Objective Optimisation-based Feature Selection for Multi-Label Classification, Knowledge Engineeering Group, TU Darmstadt, number TUD-KE-2017-01, 2017 |
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| , , and , 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 |
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| , , , , , and , Interactive Data Analytics for the Humanities, in: Proceedings of the 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing-17), pages 527--549, Springer-Verlag, 2018 |
[DOI] [URL] |
| , Monte Carlo Tree Search for Character Selection in the Game Dota 2, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Multi-Label Klassifikation in Bibliothekskatalogen, TU Darmstadt, Knowledge Engineering Group, 2016 |
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| , Abstraktionsansätze in Multiplayer Poker, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Online Enhancement of existing Nash Equilibrium Poker Agents, TU Darmstadt, Knowledge Engineering Group, 2016 |
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| , Training of mixed deep classifiers of symbolical rules and neural networks - Training von gemischten Regel- und neuronalen Netzwerk-Klassifizierern, TU Darmstadt, Knowledge Engineering Group, 2016 |
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| , A Separate-and-Conquer Algorithm for Learning Multi-Label Head Rules, TU Darmstadt, Knowledge Engineering Group, 2016 |
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| , Generating Data-Based Kernels for Regression, Control Methods and Robotics / Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , An Ensemble-method for uninformed rollout heuristics in MCTS, Knowledge Engineering, TU Darmstadt, 2016 |
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| , Assessment of U.S. College Quality via Time Series and Panel Data Analysis using College Scorecard, Department of Law and Economics and Knowledge Engineering Group, TU Darmstadt, 2016 |
| , Entwickeln einer KI für ein rundenbasiertes Strategiespiel, Knowledge Engineering Group, TU Darmstadt, 2015 |
| , Entwicklung und prototypische Implementierung von Konzepten und Methoden zur Erkennung der Körperhaltung während des Radfahrens auf stationären Radtrainingssystemen mit Neigetechnik, Multimedia Communications Lab and Knowledge Engineering Group, 2015 |
| , Entwicklung von Methoden und Konzepten zur adaptiven Belastungssteuerung beim ergometerbasierten Herz-Kreislauftraining mit Verfahren des maschinellen Lernens, Multimedia Communications Lab and Knowledge Engineering Group, TU Darmstadt, 2016 |
| , Entwicklung und prototypische Implementierung von Konzepten und Methoden zur Simulation menschlichen Verhaltens bei der Durchführung von spielerischen Übungen zum Training der Balance, Multimedia Communications Lab and Knowledge Engineering Group, TU Darmstadt, 2015 |
| , and , 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 |
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| , , and , Refinement and Selection Heuristics in Subgroup Discovery and Classification Rule Learning (2017), in: Expert Systems with Applications, 81(147--162) |
[DOI] |
| , Approximating Policies for Hearthstone via Reinforcement Learning, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Learning Player Behavior For The Exergame BalanceFit Using Evolutionary Algorithms, Knowledge Engineering Group, TU Darmstadt., 2017 |
|
| , Präferenzbasierte Monte Carlo Baumsuche, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , Addressing the Out-of-Vocabulary Problem in Neural Machine Translation, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , and , 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 |
[URL] |
| , and , 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 |
[URL] |
| , Graph-Based Intrusion Detection, FG Datenschutz und Datensicherheit, TU Dresden, und FG Knowledge Engineering, TU Darmstadt, 2016 |
| , Automated Repricing in Comparison Shopping Agents: Price Prediction and Pricing Strategy Extraction Using Decision Trees, FG Wirtschaftsinformatik und FG Knowledge Engineering, TU Darmstadt, 2016 |
| , Optimizing Time for Eigenvector Calculation to Find Better Moves During the Fuseki of Go, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , , and , A Survey of Preference-Based Reinforcement Learning Methods (2017), in: Journal of Machine Learning Research, 18:136(1--46) |
[URL] |
| , Development of Traffic Simulation in a Game Environment, TU Darmstadt, Knowledge Engineering Group, 2016 |
|
| , Die Nutzung von Daten im politischen Wahlkampf: Übertragbarkeit von Methoden aus den USA auf Deutschland und Vorhersage des Wahlergebnisses mit einem Random Forest, FG Finanzwissenschaften und Wirtschaftspolitik und FG Knowledge Engineering, TU Darmstadt., 2016 |
|
| , , , and , Informed Hybrid Game Tree Search, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2016–01, 2016 |
|
| , Kollaborative Empfehlungssysteme im E-Commerce, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , Using Convolutional Neural Networks to distinguish vehicle pose and vehicle class, TU Darmstadt, 2016 |
|
| , Vorhersage und Analyse der Handkarten des Gegners beim Texas Hold'em No-Limit Poker, TU Darmstadt, Knowledge Engineering Group, 2016 |
|
| , Improving Cargo Train Availability with Predictive Maintenance: An Overview and Prototype Implementation, in: AET Papers Repository, Association for European Transport, 2016 |
[URL] |
| , and , 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 |
[DOI]
|
| , Predictive Maintenance in a Railway Scenario using One-Class Support Vector Machines, TU Darmstadt, 2016 |
|
| , Personalisierter Assistent zur Vorhersage von Spurwechselmanövern, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , and , 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 |
[DOI] [URL] |
| , , , , and , Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models, in: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Adjunct 2016, Heidelberg, Germany, pages 1227--1230, 2016 |
| , Combining Monte-Carlo Tree Search with state-of-the-art search algorithm in chess, TU Darmstadt, Knowledge Engineering Group, 2016 |
|
| , Interpretation regelbasierter Zwischenkonzepte von Autoencodern, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| and , Special Issue on Discovery Science (2016), in: Information Sciences, 329(849--850) |
[DOI] |
| and , 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 |
[DOI] |
| , and , 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 |
[URL] |
| , and , 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 |
[DOI] [URL] |
| , Extending Web Analytics with Prediction Models to Detect Anomalies in Distributed Web Applications, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , Realisierung eines vertikalen Speichers für das SeCo Regellern-Framework, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , and , 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 |
[URL] |
| , Product Review Summarization: A Multi-Method Combination Approach with Empirical Evaluation, TU Darmstadt and Nagaoka University of Technology, 2016 |
|
| , 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 |
[URL] |
| and , Learning rules for multi-label classification: a stacking and a separate-and-conquer approach (2016), in: Machine Learning, 105:1(77--126) |
[DOI]
|
| , Maschinelles Lernen in der Anschlussdisposition, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , A Linear-Chain Conditional Random Field Approach to the Guitar Fingering Problem, Knowledge Engineering Group, TU Darmstadt, 2016 |
|
| , Ein Modell kortikaler Informationsverarbeitung, TU Darmstadt, Knowledge Engineering Group, 2016 |
|
| , Utilization of a Hidden-Markov-Model for the Prediction of Lane Change Maneuvers, TU Darmstadt, Knowledge Engineering Group, 2016 |
|
| , and , 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 |
[URL] |
| , , and , 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 |
[URL] |
| , and , Evaluation of different Regression Learners under Asymmetric Loss for Predictive Maintenance, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2015–02, 2015 |
|
| , Separate-and-Conquer- Lernen von SPARQL-Abfragen, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , and , Model-Free Preference-based Reinforcement Learning, in: Proceedings of the 30th {AAAI} Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, pages 2222--2228, 2016 |
[URL] |
| , and , 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 |
[URL] |
| Big Data Analytics in the Social and Ubiquitous Context, Springer, Lecture Notes in Computer Science, volume 9546, 2016 |
[URL] |
| , and , 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 |
[URL] |
| , Graphbasierte Chunkssuche in Schachdatenbanken, Knowledge Engineering Group, TU Darmstadt, 2015 |
|
| , and , 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) |
[DOI]
|
| , , , , , , , , , , , and , Knowledge Discovery in Scientific Literature, in: Proceedings of the 12th Edition of the Konvens Conference, pages 66--76, Universitätsbibliothek Hildesheim, 2014 |
| , Extracting Rules from Deep Neural Networks, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , and , Advances in Predictive Maintenance for a Railway Scenario - Project Techlok, Knowledge Engineering Group, 2015 |
|
| , and , 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 |
[URL] |
| and , A Brief Overview of Rule Learning, in: Rule Technologies: Foundations, Tools, and Applications -- Proceedings of the 9th International Symposium (RuleML-15), pages 54--69, Springer, 2015 |
[URL] |
| , Modulare Erweiterung des TUD-Pokerframeworks, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , Examining Label Intersections in Pairwise Multilabel Classification, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , Entwicklung eines Separate-and-Conquer basierten Regellern-Algorithmus für interpretierbares Clustering, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , , and , 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 |
[DOI]
|
| , Top-Down Induction of Classifier Trees, Knowledge Engineering Group, TU Darmstadt, 2015 |
|
| , A Machine Learning Approach for Coreference Resolution, Knowledge Engineering Group, TU Darmstadt, 2015 |
|
| , Dynamische Schwierigkeitsanpassung von Tetris mit logistischer Regression, Knowledge Engineering Group, TU Darmstadt, 2015 |
|
| , A Comparison Between the Usage of Flat and Structured Game Trees for Move Evaluation in Hearthstone, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , Präferenzbasiertes Lernen von Produktempfehlungen auf Basis von Zalando Logs, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , Beating Kaggle the easy way, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , Assoziationsbasierte Trenderkennung auf Microblogdaten, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , Machine Learning Approaches for Failure Type Detection and Predictive Maintenance, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , , and , Event-Based Clustering for Reducing Labeling Costs of Incident-Related Microposts, in: Proceedings of the ICML-15 2nd International Workshop on Mining Urban Data (MUD-15), Lille, France, pages 44--52, CEUR workshop proceedings, 2015 |
[URL] |
| , and , Semantic Abstraction for Generalization of Tweet Classification: An Evaluation on Incident-Related Tweets (2017), in: Semantic Web Journal, 8:3(353--372) |
[DOI] [URL] |
| , , , and , Intelligente Datenauswertung mit Linked Open Data, in: Corporate Semantic Web: Wie semantische Anwendungen in Unternehmen Nutzen stiften, pages 187--201, Springer Vieweg, 2015 |
[DOI] [URL] |
| , Online-Lernen von zufälligen Entscheidungsbäumen, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| , Sentiment Mining Using Machine Learning Optimization, Department of Mathematics, Indian Institute of Techology, Patna, 2015 |
|
| , , and , Event-Based Clustering for Reducing Labeling Costs of Event-Related Microposts, in: Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM-15), Oxford, UK, pages 686--690, AAAI Press, 2015 |
[URL] |
| , Automatische Einkategorisierung von Produktdaten in einen Kategorienbaum, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , Entwicklung einer Recommendation Engine für mobile Apps, TU Darmstadt, Knowledge Engineering Group, 2014 |
| , Klassifikation der Schwierigkeitsgrade von Sudokus mit Methoden des maschinellen Lernens, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , , and , Creating Noise Pollution Maps Based on User-generated Noise Data, Online, AI Mashup Challenge 2013 at ESWC, 2013 |
[URL] |
| , Engineering on driving behaviour inter-dependencies for the purpose of safe autonomous vehicles, TU Darmstadt, Knowledge Engineering Group, 2015 |
|
| and , Preference Learning from Annotated Game Databases, in: Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, pages 57--68, CEUR-WS.org, 2014 |
[URL] |
| and , On Learning Vector Representations in Hierarchical Label Spaces (2014), in: arXiv preprint arXiv:1412.6881 |
[URL] |
| , Semi-Supervised Neural Networks for Nested Named Entity Recognition, in: Workshop on GermEval 2014 Named Entity Recognition Shared Task, KONVENS, Hildesheim, pages 144-148, 2014 |
[URL] |
| , , , and , 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 |
[DOI]
|
| , Time series outlier detection in spacecraft data, Knowledge Engineering Group, TU Darmstadt, 2014 |
|
| , and , Graded Multilabel Classification by Pairwise Comparisons, Knowledge Engineering Group, Technische Universität Darmstadt, Technical Report, 2014 |
|
| , and , Graded Multilabel Classification by Pairwise Comparisons, in: 2014 IEEE International Conference on Data Mining (ICDM 2014), pages 731--736, Curran Associates, IEEE, 2014 |
[DOI]
|
| , , and , Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data, in: Proceedings of the International Conference on Networked Systems (NetSys2015), Cottbus, Germany, pages 1--8, IEEE, 2015 |
[DOI] [URL] |
| , and , Data-driven Detection of Congestion-affected Roads, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2014–02, 2014 |
|
| , Cloud-based predictive spare parts planning, TU Darmstadt, Knowledge Engineering Group, 2014 |
| , Ermittlung von Rennstrategien für vordefinierte Rennlinien via Reinforcement Learning, Knowledge Engineering Group, TU Darmstadt., 2014 |
|
| and , What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction, in: Proceedings of the Fifth Workshop on Semantics for Smarter Cities (a Workshop at the 13th International Semantic Web Conference (ISWC 2014)), Riva del Garda, Italy, pages 53--67, 2014 |
[URL] |
| and , 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 |
[DOI]
|
| , Kategorisierung von Indizes zur Clustervalidierung, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , and , Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 3, pages 114--129, Springer, 2014 |
[DOI] [URL] |
| , and , 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 |
[URL] |
| , , and , 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 |
[URL] |
| , Extraktion von Regeln aus neuronalen Netzen, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , , and , 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 |
[URL] |
| , and , A Hybrid Multi-Strategy Recommender System Using Linked Open Data, in: Semantic Web Evaluation Challenge, Proceedings (ESWC 2014), pages 150-156, Springer, 2014 |
[DOI] [URL] |
| , Automatisierte optische und inhaltliche Verarbeitung von Kassenbons, TU Darmstadt, Knowledge Engineering Group, 2014 |
| , , , and , Preference Learning (Dagstuhl Seminar 14101) (2014), in: Dagstuhl Reports, 4:3(1--27) |
[DOI] [URL] |
| , Erweiterung und Evaluierung des modularen Perzeptron-Frameworks Perceptrovement, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , Nutzung bahnbezogener Sensordaten zur Vorhersage von Wartungszyklen, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , Optimizing the AUC with Rule Learning, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , Finden von häufigen Zugsequenzen in Schachdatenbanken, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , Trainieren eines Computer-Pokerspielers, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| , Vergleich verschiedener Ranking-Verfahren in Sport-Turnieren, Knowledge Engineering Group, TU Darmstadt, 2014 |
|
| , Entwicklung und wirtschaftliche Evaluation eines personalisierten Nachrichtenaggregators, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , IT-driven Text-clustering with Respect to Different Thematic Areas, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , Transductive Pairwise Classification, TU Darmstadt, Knowledge Engineeering Group, 2013 |
|
| , Nowcasting des Wetters auf Basis von Tweets, TU Darmstadt, Knowledge Engineering Group, 2014 |
| , Learning Semantically Coherent Rules, TU Darmstadt, Knowledge Engineering Group, 2014 |
|
| and , On Learning from Game Annotations (2015), in: IEEE Transactions on Computational Intelligence and AI in Games, 7:3(304-316) |
[DOI] |
| , Semiüberwachte Paarweise Klassifikation, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| and , Efficient Implementation of Class-Based Decomposition Schemes for Naive Bayes (2014), in: Machine Learning, 96:3(295--309) |
[DOI] |
| , and , 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 , 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 |
[URL] |
| , A comparison of SVM and Rule- and Decision Tree learning, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , Machine learning for the prediction of railway fares, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , Identifizierung von Klassen von Studierenden mit frühem Prüfungsmisserfolg, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , Multilabel Learning for personalized Bookmark Classification, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| and , Towards Multilabel Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2013, pages 155--158, 2013 |
[URL] |
| , , and , 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 |
[URL] |
| and , 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 |
|
| Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning with Generalized Feedback: Beyond Numeric Rewards, 2013 |
[URL] |
| Special Issue on Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3 |
[URL] |
| , Wissensgewinn aus Spieldatenbanken, Knowledge Engineering Group, TU Darmstadt, 2013 |
|
| and , Editorial: Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3(185--189) |
[URL] |
| , Minimax based Artificial Intelligences for Tourality, Knowledge Engineering Group, TU Darmstadt, 2013 |
|
| , Predicting Traffic Volume using User-generated Data, Knowledge Engineering Group, TU Darmstadt, 2013 |
|
| Proceedings of the 16th International Conference on Discovery Science (DS-13), Springer-Verlag, 2013 |
[URL] |
| , Creating noise pollution maps based on user-generated noise measurements, Telecooperation Group, TU Darmstadt, 2013 |
|
| , Graded multilabel classification by pairwise comparison, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , Enhancing Poker Agents with Hand History Statistics, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , Abbildung eines 2-Spieler Computerspielers auf 3-Spieler-Limit-Poker, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , Managing a Team of Poker Players, TU Darmstadt, Knowledge Engineering Group, 2013 |
|
| , Outlier Detection in Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2013 |
|
| , Analyse von Zeitreihen mit Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2013 |
|
| , Rule-Based Methods, in: Encyclopedia of Systems Biology, Springer-Verlag, 2013 |
| and , 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 |
[DOI] |
| and , Learning from Trajectory-Based Action Preferences, in: Proceedings of the ICRA 2013 Workshop on Autonomous Learning, Karslruhe, 2013 |
[URL] |
| , Untersuchung der Stabilität von Personaleinsatzplänen der DB Regio, Knowledge Engineering Group, TU Darmstadt, 2013 |
|
| , Analyse von Algorithmen des maschinellen Lernens für das Mentorensystem Informatik, Knowledge Engineering Group, TU Darmstadt, 2013 |
|
| , Enhancing a location-based recommendation system by enrichment with semantic web data, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| , Heuristic Rule Learning, TU Darmstadt, Knowledge Engineering Group, 2012 |
[URL] |
| and , Mashups for the Emergency Management Domain, in: Semantic Mashup, pages 237--260, Springer, 2013 |
[DOI] [URL] |
| Proceedings of the ECAI-12 Workshop on Preference Learning: Problems and Applications in AI (PL-12), 2012 |
|
| , Enabling Semantic Web Services for Desktop Environment, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| , Entwicklung eines semantischen Browsers für Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| , Ontology Matching with Wikipedia, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| and , The SeCo-Framework for Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2012, Dortmund, Germany, 2012 |
| and , WikiMatch results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 |
|
| , WeSeE-Match results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 |
|
| , , , , , , and , HotMatch results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 |
|
| , Hertuda results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 |
|
| , Evaluation of Natural Language Processing Techniques for Sentiment Analysis on Tweets, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| and , Preference Learning, in: Encyclopedia of the Sciences of Learning, pages 986, Springer-Verlag, 2012 |
[DOI] |
| and , 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 |
[DOI] |
| and , A Semantic Browser for Linked Open Data, in: Semantic Web Challenge, 2012 |
|
| , Browsing Linked Open Data with Auto Complete, in: Semantic Web Challenge, 2012 |
|
| and , 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 , Multidimensional Ordered Mappings for Empirical Machine Learning Research, KDML 2012, 2012 |
|
| , Lokalisierung von Tweets, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| and , WikiMatch - Using Wikipedia for Ontology Matching, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012 |
|
| and , Why the Semantic Web Should Become More Imprecise, in: What will the Semantic Web look like 10 years from now?, 2012 |
| , and , 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 , Multi-label LeGo -- Enhancing Multi-label Classifiers with Local Patterns, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2012-02, 2012 |
|
| , Efficient Decomposition-Based Multiclass and Multilabel Classification, TU Darmstadt, 2012 |
[URL] |
| , , and , Preference-based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm (2012), in: Machine Learning, 89:1-2(123--156) |
[DOI] |
| , Efficient Pairwise Multilabel Classification, Technische Universität Darmstadt, Knowledge Engineering Group, 2012 |
[URL] |
| , Road traffic monitoring with location-aware sound sensors, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| and , Probability Estimation and Aggregation for Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2010, Kassel, Germany, pages 143--150, 2010 |
[URL] |
| , Echtzeit Recommender System mit Collaborative Filtering, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| , Monte Carlo Chess, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| , Ontologiebasierte Applikationsintegration auf Nutzerschnittstellenebene, in: Ausgezeichnete Informatikdissertationen 2011, pages 133-142, 2012 |
|
| , Virtual Actors: An Approach for Autonomous, Synthetic Characters, TU Darmstadt, Knowledge Engineering Group, 2012 |
|
| , Ranking von Schach-Evaluationsfunktionen, TU Darmstadt, Knowledge Engineering Group, 2011 |
|
| , Analysis of Algorithms and Strategies in the Google AI Challenge 2011, TU Darmstadt, Knowledge Engineering Group, 2012 |
|
| , , and , 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 |
|
| , 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 |
[URL] |
| and , Combining Government and Linked Open Data in Emergency Management, in: AI Mashup Challenge, 2012 |
|
| and , Basic Instrument for Experimental Probes in Machine Learning, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2012–01, 2012 |
|
| , Agent für Produktions- und Absatzplanung in einer Wirtschaftssimulation, Knowledge Engineering Group, TU Darmstadt, 2011 |
|
| , , and , 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 |
[DOI]
|
| , Generating Possible Interpretations for Statistics from Linked Open Data, in: 9th Extended Semantic Web Conference (ESWC), pages 560-574, 2012 |
|
| and , Unsupervised Generation of Data Mining Features from Linked Open Data, in: International Conference on Web Intelligence and Semantics (WIMS'12), 2012 |
[DOI] |
| , Verbesserung und Weiterentwicklung der Abläufe im Mentorensystem des Fachbereichs Informatik der TU Darmstadt – Klassifizierung von Studierenden mit schlechtem Prüfungserfolg im ersten Semester, TU Darmstadt, Knowledge Engineering Group, 2012 |
|
| , and , Crisis Information Management in the Web 3.0 Age, in: 9th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2012 |
|
| , Lazy Rule Learning, Knowledge Engineering Group, TU Darmstadt, 2012 |
|
| , Explain-a-LOD: Using Linked Open Data for Interpreting Statistics, in: International Conference on Intelligent User Interfaces (IUI 2012), pages 313-314, 2012 |
|
| , Webservice zur Auswertung und Analyse von WoW Combat Logs, Knowledge Engineering Group, TU Darmstadt, 2011 |
|
| , 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 |
[URL] |
| and , Unsupervised Generation of Data Mining Features from Linked Open Data, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2011-2, 2011 |
|
| , Frequent Pattern Mining zur Analyse von online Kaufverhalten, Knowledge Engineering Group, TU Darmstadt, 2011 |
| , Verbesserungen des Perzeptron-Algorithmus, TU Darmstadt, Knowledge Engineering Group, 2011 |
|
| and , Learning from Label Preferences, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory (ALT-11), pages 38, Springer, 2011 |
[DOI] |
| and , 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 |
[DOI] |
| and , Learning from Label Preferences, in: Proceedings of the 14th International Conference on Discovery Science (DS-11), pages 2--17, Springer, 2011 |
[DOI] |
| and , Margin Driven Separate and Conquer by Assymmetric Loss Functions, TU Darmstadt, Knowledge Engineering Group, number TUD–KE–2011–01, 2011 |
|
| , Implementation und Evaluation eines Regressionsregellerners, Knowledge Engineering, TU Darmstadt, 2011 |
|
| , Vergleich zwischen geordneten und ungeordneten Regelmengen, Knowledge Engineering, TU Darmstadt, 2011 |
|
| , Integration of User Interface Components based on Ontologies and Rules, Reasoning Web Summer School - Supplementary Handouts, 2010 |
|
| and , Towards an Automatic Parameterization of Ontology Matching Tools based on Example Mappings, in: Sixth International Workshop on Ontology Matching, 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 , Developing Efficient Ontology-based Systems Using A-box Data from Running Applications, in: 7th International Workshop on Semantic Web Enabled Software Engineering, 2011 |
|
| , Creating a Developer's Tool for UI Composition, TU Darmstadt, Knowledge Engineering Group, 2011 |
| , and , 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 , 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 , Semantische Synchronisationsdienste zur dynamischen Informationsintegration im elektronischen Geschäftsverkehr (2009), in: HMD Praxis der Wirtschaftsinformatik(28-38) |
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| , and , Semantic Synchronization in B2B-Transactions, in: Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications, pages 210-234, IGI Global, 2009 |
[URL] |
| , and , Context-Sensitive Semantic Synchronization Enablement in Electronic Negotiations (2011), in: Group Decision and Negotiation, 20:6(741-754) |
[URL] |
| , Ontology-based Application Integration, Springer, 2011 |
[URL] |
| , , and , An Architecture for Information Exchange based on Reference Models, in: 4th International Conference on Software Language Engineering (SLE 2011), 2012 |
|
| , and , 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 |
|
| , 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 |
[URL] |
| , , and , Towards a Formalization of Individual Work Execution at Computer Workplaces, in: 19th International Conference on Conceptual Structures (ICCS 2011), pages 270-283, 2011 |
[URL] |
| , , , , and , SoKNOS - Using Semantic Technologies in Disaster Management Software, in: The Semantic Web: Research and Applications (ESWC 2011), Part II, pages 183-197, 2011 |
[URL] |
| , , , , , and , A Service-oriented Architecture for Emergency Management Systems, in: Software Engineering 2011 - Workshopband, pages 225-232, 2011 |
| , Maschinelles Lernen zur Hautkrebs-Vorhersage, Knowledge Engineering Group, TU Darmstadt, 2011 |
|
| and , 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 |
[URL] |
| , A comparison of algorithms for automated keyword generation, TU Darmstadt, Knowledge Engineering Group, 2011 |
|
| and , Separate-and-conquer Regression, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2010, Kassel, Germany, pages 81--89, 2010 |
[URL] |
| , , and , 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 |
|
| , Ein Framework zur Entwicklung und Evaluation intelligenter Pokeragenten, TU Darmstadt, Knowledge Engineering Group, 2010 |
|
| , Eine Grafische Benutzeroberfläche für ein Poker-Spiel, TU Darmstadt, Knowledge Engineering Group, 2011 |
|
| , Entwurf eines serviceorientierten Recommender-Systems im BMW Group Kontext, Knowledge Engineering Group, TU Darmstadt, 2011 |
| , On Solving Pentago, Knowledge Engineering Group, TU Darmstadt, 2011 |
|
| , , and , 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 |
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| and , 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 |
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| and , Ontology-based Information Visualization in Integrated UIs, in: Proceedings of the 2011 International Conference on Intelligent User Interfaces (IUI), pages 451-452, ACM, 2011 |
[URL] |
| , , and , SoKNOS -- Informationsdienste für das Katastrophenmanagement, in: VDE Kongress 2010 - E-Mobility (CD ROM), VDE Verlag, 2010 |
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| , Vorhersagequalität zufälliger Baumstrukturen, TU Darmstadt, Knowledge Engineering Group, 2011 |
|
| and , Efficient prediction algorithms for binary decomposition techniques (2012), in: Data Mining and Knowledge Discovery, 24:1(40-77) |
[DOI]
|
| , Strukturelle Eigenschaften des Verbindungsgraphen in der Churn-Analyse, Knowledge Engineering Group, TU Darmstadt, 2011 |
| , Pruning, in: Encyclopedia of Machine Learning, pages 817, Springer-Verlag, 2010 |
| , Decision Lists and Decision Trees, in: Encyclopedia of Machine Learning, pages 261--262, Springer-Verlag, 2010 |
| , Decision List, in: Encyclopedia of Machine Learning, pages 261, Springer-Verlag, 2010 |
| , Prozessoptimierung und Qualitätssicherung in der Datenaufbereitung von Fahrgastinformationssystemen, Knowledge Engineering Group, TU Darmstadt, 2010 |
| , Object Feature Coding: A Decomposition Framework Unifying Object and Label Ranking, Knowledge Engineering Group, TU Darmstadt, 2010 |
|
| , Lernen Abalone zu spielen, Knowledge Engineering Group, TU Darmstadt, 2010 |
|
| , Entwicklung eines Assistenzsystems zur Berechnung der Ähnlichkeit von Konfigurationsdateien, Knowledge Engineering Group, TU Darmstadt, 2010 |
| , Web Mining, in: Data Mining and Knowledge Discovery Handbook, pages 913--930, Springer-Verlag, 2010 |
|
| , Determining Move Effects Without Explicit State Construction - Construction and Implementation of a GGP Agent, Knowledge Engineering Group, TU Darmstadt, 2010 |
|
| , Iterative Optimization of Rule Sets, TU Darmstadt, Knowledge Engineering Group, 2010 |
|
| , Bidirectional Rule Learning, Knowledge Engineering Group, TU Darmstadt, 2010 |
|
| , and , Exploiting Code Redundancies in ECOC, in: Proceedings of the 13th International Conference on Discovery Science (DS-10), pages 266--280, Springer, 2010 |
[DOI] |
| , 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 |
[URL] |
| , Adaptive Playout Policies for Monte-Carlo Go, Institut für Kognitionswissenschaft, Universität Osnabrück, 2010 |
|
| and , On Exploiting Hierarchical Label Structure with Pairwise Classifiers (2010), in: SIGKDD Explorations, 12:2(21--25) |
[URL] |
| , Clustering of Mailing List Discussions, Knowledge Engineering Group, TU Darmstadt, 2010 |
|
| , Learning Stretched Rules, TU Darmstadt, Knowledge Engineering Group, 2010 |
|
| and , 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) |
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| and , Ontology-Enhanced User Interfaces: A Survey (2010), in: International Journal on Semantic Web and Information Systems, 6:2(36-59) |
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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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| , , , , and , Geospatial Web Mining for Emergency Management, in: GIScience 2010 - Extended Abstracts, 2010 |
|
| , Selbst lernendes qualitätssensitives Testmanagement, TU Darmstadt, Knowledge Engineering Group, 2010 |
| , 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 |
|
| and , Preference Learning and Ranking by Pairwise Comparison, in: Preference Learning, pages 65--82, Springer-Verlag, 2010 |
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| and , Preference Learning: An Introduction, in: Preference Learning, pages 1--17, Springer-Verlag, 2010 |
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| Preference Learning, Springer-Verlag, 2010 |
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| and , 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 |
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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 |
[URL] |
| , Effizientes Reasoning über laufende Systeme am Beispiel eines Frameworks zur User Interface Integration, TU Darmstadt, Knowledge Engineering Group, 2010 |
| and , Joint Kernel Support Estimation for Structured Prediction, 2008 |
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| and , 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 |
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| and , 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 , 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 , Probability Estimation and Aggregation for Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-03, 2010 |
|
| , Persistent Name Spaces for Uniform Experiments, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-04, 2010 |
[URL] |
| , Neuronale Netze in Go, TU Darmstadt, Knowledge Engineering Group, 2010 |
|
| , A Generic Framework for the Automated Creation of Data-Driven Hydrological Forecasting Models, TU Darmstadt, Knowledge Engineering Group, 2009 |
| , Implementierung und Evaluierung eines Greedy Association Rule Learners, TU Darmstadt, Knowledge Engineering Group, 2010 |
|
| and , 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) |
[DOI] |
| and , Learning to Recognize Missing E-mail Attachments (2010), in: Applied Artificial Intelligence, 24:5(443-462) |
[DOI] |
| and , Mächtig & Schick - Java-Applikationen mit Flex-UIs (2010), in: JavaSpektrum, 2(32-35) |
| and , Improving UI Integration with Formal Semantics, in: Proceedings of the Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS), 2010 |
|
| and , A Framework for Ontologies-based User Interface Integration, in: ISWC 2009 - Posters and Demos, 2009 |
[URL] |
| , 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 |
[URL] |
| , , , and , 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 |
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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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| , and , Ontologies-Based Business Integration, Springer, 2008 |
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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 |
|
| , Anwendung von Data Mining zu statistischen Auswertungen und Vorhersagen im Sport, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| and , The SeCo-framework for rule learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-02, 2010 |
|
| and , Separate-and-conquer Regression, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-01, 2010 |
|
| and , Guest Editorial: Global Modeling using Local Patterns (2010), in: Data Mining and Knowledge Discovery, 21:1(1--8) |
[DOI] |
| , Decision Tree, in: Encyclopedia of Machine Learning, pages 263--267, Springer-Verlag, 2010 |
| , Interaktives Regellernen, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Ontological Description of UI Interactions, TU Darmstadt, Knowledge Engineering Group, 2009 |
| , Informationsextraktion aus Lebensläufen, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Entwicklung und Implementierung eines Prognosemodells zur automatisierten Geldwäscheerkennung, TU Darmstadt, Knowledge Engineering Group, 2009 |
| , Ein Vergleich händischer und automatisch erzeugter Intelligenz im Bereich des künstlichen Lebens, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Implementierung und Testen eines relationalen Lern-Algorithmus, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Knowledge Network Visualization, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Consistency Learning and Multiple Rankings Combination for Text Retrieval, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| and , Margin Driven Separate and Conquer by Working Set Expansion, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-06, 2009 |
|
| , Support for User-friendly Customization of Knowledge Network Visualization, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Design & Implementation of a Framework for Constructing Task Specific Views on Knowledge Bases, TU Darmstadt, Knowledge Engineering Group, 2007 |
| , Similarity Measures for Smooth Web Page Classification, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| and , CATS - Ein System zur Stundenplanerstellung, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Zitationsanalyse für das Gebiet "Lernen in Spielen", TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Ein evolutionärer Algorithmus zur Erstellung eines künstlichen Gegenspielers für "Chinesische Mauer", TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Inferenzalgorithmen zur Auswahl ontologiebasierter Situationsbeschreibungen für ein kontextadapatives Dialogsystem, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Entwicklung einer lernfähigen Bietfunktion für einen intelligenten Spades-Spieler, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Segmentation of legal documents, in: Proceedings of the 12th International Conference on Artificial Intelligence and Law, Barcelona, Spain, pages 88--97, ACM, 2009 |
[DOI]
|
| , UCT Simulation in Go, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Specialization of a General Ontology Engineering Platform for Semantic Information Integration, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Lernen unterschiedlich starker Bewertungsfunktionen aus Schach-Spielprotokollen, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Creating Adaptive Game AI in a Real-time Continuous Environment using Hierarchical Neural Networks, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Implementierung eines Information Retrieval Systems auf Basis semi-strukturierter Web Daten, TU Darmstadt, Knowledge Engineering Group, 2009 |
| , Thunderbird-Plugin zur Attachment-Prüfung, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Analyse von Heuristiken zur Evaluierung von Assoziationsregeln, TU Darmstadt, Knowledge Engineering Group, 2009 |
|
| , Vergleich verschiedener Methoden zur Behandlung fehlender Attributwerte im SeCo-Regellerner, Independent Study Project, Knowledge Engineering Group, TU Darmstadt, 2009 |
|
| , Plans as a Means for Guiding a Reinforcement Learner, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Automatische Generierung von Zugpatterns aus Spieldatenbanken für Go, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Verteilte Adaptionsplanung, TU Darmstadt, Knowledge Engineering Group, 2008 |
| , Konstruktion eines Web-Portals für Gehörlose, TU Darmstadt, Knowledge Engineering Group, 2008 |
| , Adaptive Support of Knowledge Work by Analysis of User Objectives, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Entwurf und Implementierung einer Multi-Agentensimulation zur Steuerung virtueller Charaktere, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Applying Dynamic Scripting to "Jagged Alliance 2", TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Kontextvorhersage in einem adaptiven, kontext-sensitiven System, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Clustering biological data using a hybrid approach: Composition of clusterings from different features, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Datenkonsolidierung in der polizeilichen Kriminalstatistik, TU Darmstadt, Knowledge Engineering Group, 2008 |
| , Analyzing Human Solving Methods for Rubik's Cube and Similar Puzzles, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Lernen von Evaluierungsfunktionen für Schach-Varianten, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| and , gAImes-Engine -- Ein KI Framework für Computerspiele, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Skalierbarkeit von Ontology-Matching-Verfahren, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Machine Learning on Desktop Environment Events, TU Darmstadt, Knowledge Engineering Group, 2006 |
| , Effiziente Klassifikation und Ranking mit paarweisen Vergleichen, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Konzeption und Erstellung einer E-Learning-Lektion zu Cross-Validation in DaMiT, TU Darmstadt, Knowledge Engineering Group, 2006 |
| , Spielregeln zur realistischen Durchführung strategischer Planspiele - Dargestellt am Planspiel Wargaming, TU Darmstadt, Knowledge Engineering Group, 2006 |
| , Einsatz von Planungssystemen im E-Learning zur automatischen Generierung von Hilfen und Verifikationen, TU Darmstadt, Knowledge Engineering Group, 2006 |
| , Analyse der Koautorenschaft zur Konsolidierung ambiger Autorennamen - Überblick und Berwertung eines neuen Verfahrens, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Eine Methode zur Berechnung der Ähnlichkeit zwischen Konzepten unter Berücksichtigung der Modellierungsperspektive, TU Darmstadt, Knowledge Engineering Group, 2006 |
| , KRK Chess Endgame Database Knowledge Extraction and Compression, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , FooCA: Mining Web Search Results Using Formal Concept Analysis, TU Darmstadt, Knowledge Engineering Group, 2006 |
[URL] |
| , Eine Untersuchung des Trade-Offs zwischen Precision and Coverage bei Regel-Lern-Heuristiken, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Der Alpha-Beta-Algorithmus und Erweiterungen bei Vier Gewinnt, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Ansätze eines TI-Coaching-Systems zur Unterstützung von Lernenden im Bereich der Theoretischen Informatik, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Paarweises Lernen von Multilabel-Klassifikationen mit dem Perzeptron-Algorithmus, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Stalker: Lerntheoretische Modellierung und Untersuchungen, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Verbesserung der Datenqualität durch Pre-Processing, TU Darmstadt, Knowledge Engineering Group, 2005 |
| , Regelbasiertes Tiling für Collaborative Filtering, TU Darmstadt, Knowledge Engineering Group, 2005 |
|
| , Hypertext Classification, TU Darmstadt, Knowledge Engineering Group, 2005 |
|
| , Methoden zur Feature Subset Selection für Unsupervised Learning - Überblick und ein neuer Ansatz, TU Darmstadt, Knowledge Engineering Group, 2005 |
|
| , An Intelligent Artificial Player for the Game of Risk, TU Darmstadt, Knowledge Engineering Group, 2005 |
|
| , Fixed-left-Right-Wrapper: Merkmale und Lernbarkeit, Knowledge Engineering Group, TU Darmstadt, 2004 |
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| and , 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 , 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 , Efficient Voting Prediction for Pairwise Multilabel Classification (2010), in: Neurocomputing, 73:7-9(1164 - 1176) |
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| , Forecasting the Expected Power Consumption Profile of the Thermal Subsystem of Venus Express, Knowledge Engineering Group, TU Darmstadt, 2007 |
| , and , Inductive inference of approximations for recursive concepts (2005), in: Theor. Comput. Sci., 348:1(15-40) |
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| , Reflective inductive inference of recursive functions (2008), in: Theor. Comput. Sci., 397:1-3(57-69) |
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| and , Incremental Learning of Approximations from positive data (2004), in: Information Processing Letters, 89:1(37--42) |
| , , , , 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 , 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 , 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 , 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 , DaMiT: Data Mining lernen und lehren, in: LWA 2004, Lernen -- Wissensentdeckung -- Adaptivität, 4.-6.Oktober 2004, Humboldt-Universität zu Berlin, pages 171--179, 2004 |
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| and , 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 , Learning To Recognize Missing E-mail Attachments, Knowledge Engineering Group, TU Darmstadt, number TUD-KE-2009-05, 2009 |
|
| 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 , 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 |
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| , Separate and Conquer Framework und disjunktive Regeln, TU Darmstadt, 2005 |
|
| , and , Millions of Random Rules, in: Proceedings of the ECML/PKDD Workshop on Advances in Inductive Rule Learning, 2005 |
| , Evaluierung des Mozilla Spamfilters, TU Darmstadt, 2005 |
|
| , Paarweiser Naive Bayes Klassifizierer, TU Darmstadt, 2006 |
|
| , Meta-Lernen einer Evaluierungs-Funktion für einen Regel-Lerner, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Vergleich von AQ, CN2 und CN2 mit Weighted Covering, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| , Design und Implementierung einer Entwicklungsumgebung für Regel-Lerner, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Eine E-Learning Experimentierumgebung für den Lernalgorithmus Foil, TU Darmstadt, Knowledge Engineering Group, 2007 |
| , Supervised Local Pattern Discovery, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Aufbau einer on-line Datenbank für Machine Learning Datenbanken, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Vergleich von Pruning-Algorithmen für Regel-Lerner, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Paarweise Hierarchische Klassifikation, TU Darmstadt, Knowledge Engineering Group, 2008 |
|
| , Ordered Pairwise Classification, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Vergleich von Methoden zur Hypertext-Klassifizierung, TU Darmstadt, Knowledge Engineering Group, 2007 |
|
| , Analysis and Comparison of Existent Information Extraction Methods, TU Darmstadt, Knowledge Engineering Group, 2006 |
|
| and , 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 |
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| , Modeling Rule Precision, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2003-35, 2003 |
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| Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, Austrian Research Institute for Artificial Intelligence, 2003 |
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| and , Pairwise Preference Learning and Ranking, in: Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, 2003 |
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