B

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. (Publisher's Version)
In: Algorithms, 16 (4), MDPI, e-ISSN 1999-4893,
DOI: 10.26083/tuprints-00023644,
[Article]

Blüml, Jannis ; Czech, Johannes ; Kersting, Kristian (2023):
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong. (Publisher's Version)
In: Frontiers in Artificial Intelligence, 6, Frontiers Media S.A., e-ISSN 2624-8212,
DOI: 10.26083/tuprints-00024064,
[Article]

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. (Publisher's Version)
In: Frontiers in Artificial Intelligence, 4, Frontiers Media S.A., e-ISSN 2624-8212,
DOI: 10.26083/tuprints-00020098,
[Article]

G

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

J

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

K

Kordjamshidi, Parisa ; Roth, Dan ; Kersting, Kristian (2022):
Declarative Learning-Based Programming as an Interface to AI Systems. (Publisher's Version)
In: Frontiers in Artificial Intelligence, 5, Frontiers Media S.A., e-ISSN 2624-8212,
DOI: 10.26083/tuprints-00021083,
[Article]

M

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

R

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. (Publisher's Version)
In: Frontiers in Robotics and AI, 8, Frontiers Media S.A., e-ISSN 2296-9144,
DOI: 10.26083/tuprints-00020336,
[Article]

S

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

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

T

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

Teso, Stefano ; Alkan, Öznur ; Stammer, Wolfgang ; Daly, Elizabeth (2023):
Leveraging explanations in interactive machine learning: An overview. (Publisher's Version)
In: Frontiers in Artificial Intelligence, 6, Frontiers Media S.A., e-ISSN 2624-8212,
DOI: 10.26083/tuprints-00023357,
[Article]

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