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ORCID44th KI 2021: Virtual Event, Germany
- Stefan Edelkamp
, Ralf Möller, Elmar Rueckert:
KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 12873, Springer 2021, ISBN 978-3-030-87625-8
Technical Programme
- Ahmad Bdeir, Simon Boeder, Tim Dernedde, Kirill Tkachuk, Jonas K. Falkner, Lars Schmidt-Thieme:
RP-DQN: An Application of Q-Learning to Vehicle Routing Problems. 3-16 - Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider:
κ-Circulant Maximum Variance Bases. 17-29 - Steve Boucher, Roger Villemaire:
Quantified Boolean Solving for Achievement Games. 30-43 - Marius Bulla, Lars Patrick Hillebrand, Max Lübbering, Rafet Sifa:
Knowledge Graph Based Question Answering System for Financial Securities. 44-50 - Padraig Davidson, Florian Buckermann, Michael Steininger, Anna Krause, Andreas Hotho:
Semi-unsupervised Learning: An In-depth Parameter Analysis. 51-66 - Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper:
Combining Transformer Generators with Convolutional Discriminators. 67-79 - Bettina Finzel, David E. Tafler, Stephan Scheele, Ute Schmid:
Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations. 80-94 - Pascal Fischer, Alen Smajic, Giuseppe Abrami, Alexander Mehler:
Multi-Type-TD-TSR - Extracting Tables from Document Images Using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: From OCR to Structured Table Representations. 95-108 - Fuyuka Yamada, Satoki Tsuji, Hiroshi Kawaguchi, Atsuki Inoue, Yasufumi Sakai:
A High-Speed Neural Architecture Search Considering the Number of Weights. 109-115 - Daniel Gritzner, Jörn Ostermann:
Semantic Segmentation of Aerial Images Using Binary Space Partitioning. 116-134 - Florian Haselbeck, Dominik G. Grimm:
EVARS-GPR: EVent-Triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. 135-157 - Louis Mahon, Thomas Lukasiewicz:
Selective Pseudo-Label Clustering. 158-178 - Fabrizio Nunnari, Abraham Obinwanne Ezema, Daniel Sonntag:
Crop It, but Not Too Much: The Effects of Masking on the Classification of Melanoma Images. 179-193 - Alexander Prange, Daniel Sonntag:
A Demonstrator for Interactive Image Clustering and Fine-Tuning Neural Networks in Virtual Reality. 194-203 - Pascal Puchtler, Johannes Wirth, René Peinl:
HUI-Audio-Corpus-German: A High Quality TTS Dataset. 204-216 - Claudia Schon, Sophie Siebert, Frieder Stolzenburg:
Negation in Cognitive Reasoning. 217-232 - Tobias Uelwer, Felix Michels, Oliver De Candido:
Learning to Detect Adversarial Examples Based on Class Scores. 233-240 - Tezira Wanyana, Deshendran Moodley:
An Agent Architecture for Knowledge Discovery and Evolution. 241-256 - Katharina Weitz, Ruben Schlagowski, Elisabeth André:
Demystifying Artificial Intelligence for End-Users: Findings from a Participatory Machine Learning Show. 257-270 - Marcel Wienöbst, Max Bannach, Maciej Liskiewicz:
Recent Advances in Counting and Sampling Markov Equivalent DAGs. 271-275 - Marcel Wienöbst, Maciej Liskiewicz:
An Approach to Reduce the Number of Conditional Independence Tests in the PC Algorithm. 276-288
Poster Papers
- Sebastian Kiefer, Günter Pesch:
Unsupervised Anomaly Detection for Financial Auditing with Model-Agnostic Explanations. 291-308 - Nils Finke, Marisa Mohr:
A Priori Approximation of Symmetries in Dynamic Probabilistic Relational Models. 309-323 - Franziska Klügl, Sabine Timpf:
Towards More Explicit Interaction Modelling in Agent-Based Simulation Using Affordance Schemata. 324-337 - Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter:
Critic Guided Segmentation of Rewarding Objects in First-Person Views. 338-348 - Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction. 349-361 - Teodor Stoev, Kristina Y. Yordanova:
BehavE: Behaviour Understanding Through Automated Generation of Situation Models. 362-369
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