2023

Friesen, John ; Rausch, Lea ; Pelz, Peter F. ; Fürnkranz, Johannes (2023)
Determining Factors for Slum Growth with Predictive Data Mining Methods.
In: Urban Science, 2018, 2 (3)
doi: 10.26083/tuprints-00016703
Article, Secondary publication, Publisher's Version

2022

Arenz, Oleg (2022)
Monte Carlo Chess.
Technische Universität Darmstadt, 2012
doi: 10.26083/tuprints-00022930
Bachelor Thesis, Primary publication, Publisher's Version

Rapp, Michael (2022)
Multi-label Rule Learning.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00022099
Ph.D. Thesis, Primary publication, Publisher's Version

Rapp, Michael ; Kulessa, Moritz ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2022)
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance.
In: Frontiers in Big Data, 2022, 4
doi: 10.26083/tuprints-00020807
Article, Secondary publication, Publisher's Version

2021

Dang, Hien (2021)
Adaptive Personalization in Driver Assistance Systems.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00017507
Ph.D. Thesis, Primary publication, Publisher's Version

Kulessa, Moritz ; Mencía, Eneldo Loza ; Fürnkranz, Johannes (2021)
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance.
In: Computers, 2021, 10 (3)
doi: 10.26083/tuprints-00019322
Article, Secondary publication, Publisher's Version

2020

Czech, Johannes ; Willig, Moritz ; Beyer, Alena ; Kersting, Kristian ; Fürnkranz, Johannes (2020)
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data.
In: Frontiers in Artificial Intelligence, 2020, 3
doi: 10.25534/tuprints-00013370
Article, Secondary publication, Publisher's Version

2019

Jäger, Jonas (2019)
Self-Imitation Regularization: Regularizing Neural Networks by Leveraging Their Dark Knowledge.
Technische Universität Darmstadt
Bachelor Thesis, Primary publication

Kauschke, Sebastian (2019)
Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Nam, Jinseok (2019)
Learning Label Structures with Neural Networks for Multi-label Classification.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Sulzmann, Jan-Nikolas (2019)
Rule Learning: From Local Patterns to Global Models.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Tavakol, Maryam (2019)
Contextual Models for Sequential Recommendation.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Zopf, Markus (2019)
Towards Context-free Information Importance Estimation.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

2018

Thoma, Nils (2018)
Learning to Detect Personal Information in German Text Documents.
Technische Universität Darmstadt
Bachelor Thesis, Primary publication

2017

Wirth, Christian (2017)
Efficient Preference-based Reinforcement Learning.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

2014

Schulz, Axel (2014)
Mining User-Generated Content for Incidents.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

2013

Güttinger, Dennis (2013)
A New Metaheuristic Approach for Stabilizing the Solution Quality of Simulated Annealing and Applications.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Loza Mencía, Eneldo (2013)
Efficient Pairwise Multilabel Classification.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

2012

Janssen, Frederik (2012)
Heuristic Rule Learning.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Park, Sang-Hyeun (2012)
Efficient Decomposition-Based Multiclass and Multilabel Classification.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication