Article

Baskan, Denis E. ; Meyer, Daniel ; Mieck, Sebastian ; Faubel, Leonhard ; Klöpper, Benjamin ; Strem, Nika ; Wagner, Johannes A. ; Koltermann, Jan J. (2023)
A Scenario-Based Model Comparison for Short-Term Day-Ahead Electricity Prices in Times of Economic and Political Tension.
In: Algorithms, 2023, 16 (4)
doi: 10.26083/tuprints-00023644
Article, Secondary publication, Publisher's Version

Blüml, Jannis ; Czech, Johannes ; Kersting, Kristian (2023)
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong.
In: Frontiers in Artificial Intelligence, 2023, 6
doi: 10.26083/tuprints-00024064
Article, Secondary publication, Publisher's Version

Brugger, Anna ; Behmann, Jan ; Paulus, Stefan ; Luigs, Hans-Georg ; Kuska, Matheus Thomas ; Schramowski, Patrick ; Kersting, Kristian ; Steiner, Ulrike ; Mahlein, Anne-Katrin (2024)
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range.
In: Remote Sensing, 2019, 11 (12)
doi: 10.26083/tuprints-00016743
Article, Secondary publication, Publisher's Version

Brugger, Anna ; Schramowski, Patrick ; Paulus, Stefan ; Steiner, Ulrike ; Kersting, Kristian ; Mahlein, Anne‐Katrin (2024)
Spectral signatures in the UV range can be combined with secondary plant metabolites by deep learning to characterize barley–powdery mildew interaction.
In: Plant Pathology, 2021, 70 (7)
doi: 10.26083/tuprints-00021003
Article, Secondary publication, Publisher's Version

Burkhardt, Sophie ; Brugger, Jannis ; Wagner, Nicolas ; Ahmadi, Zahra ; Kersting, Kristian ; Kramer, Stefan (2022)
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation.
In: Frontiers in Artificial Intelligence, 2022, 4
doi: 10.26083/tuprints-00020098
Article, Secondary publication, Publisher's Version

Galassi, Andrea ; Kersting, Kristian ; Lippi, Marco ; Shao, Xiaoting ; Torroni, Paolo (2024)
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning.
In: Frontiers in Big Data, 2020, 2
doi: 10.26083/tuprints-00016123
Article, Secondary publication, Publisher's Version

Kersting, Kristian (2024)
Editorial: Rethinking Computer Science Through AI.
In: KI - Künstliche Intelligenz : German Journal of Artificial Intelligence, 2020, 34 (4)
doi: 10.26083/tuprints-00024015
Article, Secondary publication, Publisher's Version

Kersting, Kristian (2024)
Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines.
In: Frontiers in Big Data, 2018, 1
doi: 10.26083/tuprints-00015715
Article, Secondary publication, Publisher's Version

Kordjamshidi, Parisa ; Roth, Dan ; Kersting, Kristian (2022)
Declarative Learning-Based Programming as an Interface to AI Systems.
In: Frontiers in Artificial Intelligence, 2022, 5
doi: 10.26083/tuprints-00021083
Article, Secondary publication, Publisher's Version

Ochs, Daniel ; Wiertz, Karsten ; Bußmann, Sebastian ; Kersting, Kristian ; Dhami, Devendra Singh (2024)
Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images.
In: Remote Sensing, 2024, 16 (2)
doi: 10.26083/tuprints-00027169
Article, Secondary publication, Publisher's Version

Rawal, Niyati ; Koert, Dorothea ; Turan, Cigdem ; Kersting, Kristian ; Peters, Jan ; Stock-Homburg, Ruth (2022)
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition.
In: Frontiers in Robotics and AI, 2022, 8
doi: 10.26083/tuprints-00020336
Article, Secondary publication, Publisher's Version

Shao, Xiaoting ; Rienstra, Tjitze ; Thimm, Matthias ; Kersting, Kristian (2024)
Towards Understanding and Arguing with Classifiers: Recent Progress.
In: Datenbank-Spektrum : Zeitschrift für Datenbanktechnologien und Information Retrieval, 2020, 20 (2)
doi: 10.26083/tuprints-00024012
Article, Secondary publication, Publisher's Version

Teso, Stefano ; Alkan, Öznur ; Stammer, Wolfgang ; Daly, Elizabeth (2023)
Leveraging explanations in interactive machine learning: An overview.
In: Frontiers in Artificial Intelligence, 2023, 6
doi: 10.26083/tuprints-00023357
Article, Secondary publication, Publisher's Version

Yan, Siwen ; Odom, Phillip ; Pasunuri, Rahul ; Kersting, Kristian ; Natarajan, Sriraam (2024)
Learning with privileged and sensitive information: a gradient-boosting approach.
In: Frontiers in Artificial Intelligence, 2023, 6
doi: 10.26083/tuprints-00027142
Article, Secondary publication, Publisher's Version

Ph.D. Thesis

Gomez Gonzalez, Sebastian (2020)
Real Time Probabilistic Models for Robot Trajectories.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00011492
Ph.D. Thesis, Primary publication

Joppen, Tobias (2022)
An Ordinal Agent Framework.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00019749
Ph.D. Thesis, Primary publication, Publisher's Version

Molina Ramirez, Alejandro (2021)
Deep Networks That Know When They Don't Know.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00018525
Ph.D. Thesis, Primary publication, Publisher's Version

Schramowski, Patrick (2023)
Self-Supervised Learning of Machine Ethics.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00023090
Ph.D. Thesis, Primary publication, Publisher's Version

Shao, Xiaoting (2022)
Explaining and Interactively Debugging Deep Models.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00021868
Ph.D. Thesis, Primary publication, Publisher's Version

Stelzner, Karl (2023)
Elements of Unsupervised Scene Understanding: Objectives, Structures, and Modalities.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00026355
Ph.D. Thesis, Primary publication, Publisher's Version

Tauchmann, Christopher (2021)
Advanced Corpus Annotation Strategies for NLP. Applications in Automatic Summarization and Text Classification.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00017576
Ph.D. Thesis, Primary publication, Publisher's Version

Thürck, Daniel (2021)
Irregularity mitigation and portability abstractions for accelerated sparse matrix factorization.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00017951
Ph.D. Thesis, Primary publication, Publisher's Version

Master Thesis

März, Lars Steffen (2024)
Robust Optimization for Adversarial Deep Learning.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00026745
Master Thesis, Primary publication, Publisher's Version