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Items where Division is "20 Department of Computer Science > Artificial Intelligence and Machine Learning" and Year is [pin missing: value2]

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Number of items at this level (without sub-levels): 8.

B

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]

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]

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]

This list was generated on Mon May 23 22:40:30 2022 CEST.