Student Theses
Topic: Masters Thesis
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Publications for topic "Masters Thesis" sorted by first author
A
| , Online Outlier Detection in Spacecraft Telemetry Data, TU Darmstadt, 2019 |
| , Driver classification with LSTM networks using car telemetry data, driver head movement, and gaze tracking, TU Darmstadt, 2018 |
| , Multi-Label Klassifikation mit Hilfe einer dynamischen Klassifiziererkette, TU Darmstadt, Knowledge Engineering Group, 2017 |
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B
| , Sentiment Classification of Chess Annotations, Knowledge Engineering Group, TU Darmstadt, 2019 |
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| , Interpretation regelbasierter Zwischenkonzepte von Autoencodern, Knowledge Engineering Group, TU Darmstadt, 2016 |
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D
| , Kollaborative Empfehlungssysteme im E-Commerce, Knowledge Engineering Group, TU Darmstadt, 2016 |
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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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| , GPU-accelerated Learning of Gradient Boosted Multi-label Classification Rules, TU Darmstadt, 2020 |
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F
| , Utilization of a Hidden-Markov-Model for the Prediction of Lane Change Maneuvers, TU Darmstadt, Knowledge Engineering Group, 2016 |
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| , Predicting harmful conditions with Hidden Markov Models, TU Darmstadt, 2017 |
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G
| , Personalisierter Assistent zur Vorhersage von Spurwechselmanövern, Knowledge Engineering Group, TU Darmstadt, 2016 |
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H
| , Approximating Policies for Hearthstone via Reinforcement Learning, Knowledge Engineering Group, TU Darmstadt, 2017 |
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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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| , Automated Ontology Refinement Using Compression-Based Learning, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Driver Intention Prediction at Pedestrian Crossings - Development, Implementation and Validation of different Approaches, Knowledge Engineering Group, TU Darmstadt, 2019 |
J
| , 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 |
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| , Präferenzbasierte Monte Carlo Baumsuche, Knowledge Engineering Group, TU Darmstadt, 2016 |
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K
| , Automatic Construction of a Multi-Document Summarization Corpus, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Sentiment Mining Using Machine Learning Optimization, Department of Mathematics, Indian Institute of Techology, Patna, 2015 |
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| , Driving Style Recognition: Literature Review and Application of Machine Learning, Knowledge Engineering Group, TU Darmstadt., 2017 |
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L
| , Intelligent Customer Support Using Case-Based Reasoning and Bayesian Inference, Knowledge Engineering Group, TU Darmstadt, 2017 |
| , Development of Traffic Simulation in a Game Environment, TU Darmstadt, Knowledge Engineering Group, 2016 |
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| , Cloud-based predictive spare parts planning, TU Darmstadt, Knowledge Engineering Group, 2014 |
| , A System for Mapping Text to Specific Reviewers, Knowledge Engineering Group, TU Darmstadt, 2018 |
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| , Online Enhancement of existing Nash Equilibrium Poker Agents, TU Darmstadt, Knowledge Engineering Group, 2016 |
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M
| , Using Convolutional Neural Networks to distinguish vehicle pose and vehicle class, TU Darmstadt, 2016 |
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N
| , Predictive Maintenance in a Railway Scenario using One-Class Support Vector Machines, TU Darmstadt, 2016 |
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P
| , Adversarial Attacks in Image Processing for Advanced Driver Assistance Systems, TU Darmstadt, Knowledge Engineering Group, 2018 |
R
| , Extending Web Analytics with Prediction Models to Detect Anomalies in Distributed Web Applications, Knowledge Engineering Group, TU Darmstadt, 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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| , A Linear-Chain Conditional Random Field Approach to the Guitar Fingering Problem, Knowledge Engineering Group, TU Darmstadt, 2016 |
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S
| , Finding dependencies between time series in satellite data, Knowledge Engineering Group, TU Darmstadt, 2017 |
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| , Analysis of various sensor data for non driving related task detection in the context of automated driving, TU Darmstadt, 2019 |
| , Multilabel-Klassifikationen durch das robuste Attributzuordnungsmodell und Abgrenzungsfilter, TU Darmstadt, Knowledge Engineering Group, 2018 |
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| , 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 |
| , Global Optimization using Monte Carlo Tree Search in discrete State Lattices, TU Darmstadt, Knowledge Engineering Group, 2017 |
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| , Predictive Maintenance: Vorhersage von Stromrichterausfällen bei Güterzügen, TU Darmstadt, 2017 |
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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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| , Maschinelles Lernen für das deterministische Zwei-Spieler Nullsummenspiel "Tak - A Beautiful Game", Knowledge Engineering Group, TU Darmstadt, 2019 |
| , Preference-based Monte Carlo Tree Search for Mulitplayer Domains, Knowledge Engineering Group, TU Darmstadt, 2017 |
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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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W
| , 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 |
| , Graph-Based Intrusion Detection, FG Datenschutz und Datensicherheit, TU Dresden, und FG Knowledge Engineering, TU Darmstadt, 2016 |
Z
| , Automated Repricing in Comparison Shopping Agents: Price Prediction and Pricing Strategy Extraction Using Decision Trees, FG Wirtschaftsinformatik und FG Knowledge Engineering, TU Darmstadt, 2016 |