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ORCIDCD-MAKE 2023, Benevento, Italy
- Andreas Holzinger
, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar R. Weippl:
Machine Learning and Knowledge Extraction - 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 - September 1, 2023, Proceedings. Lecture Notes in Computer Science 14065, Springer 2023, ISBN 978-3-031-40836-6 - Peter Kieseberg, Edgar R. Weippl, A Min Tjoa, Federico Cabitza, Andrea Campagner, Andreas Holzinger:
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 1-12 - Arne Gevaert, Anna Saranti, Andreas Holzinger, Yvan Saeys:
Efficient Approximation of Asymmetric Shapley Values Using Functional Decomposition. 13-30 - Bettina Finzel, Ines Rieger, Simon Kuhn, Ute Schmid:
Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition. 31-44 - Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, Jacqueline Michelle Beinecke, Dominik Heider, Richard Röttger, Heimo Müller, Jan Baumbach, Bastian Pfeifer:
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning. 45-64 - David Schneeberger, Richard Röttger, Federico Cabitza, Andrea Campagner, Markus Plass, Heimo Müller, Andreas Holzinger:
The Tower of Babel in Explainable Artificial Intelligence (XAI). 65-81 - Ryan Dave, Juan S. Angarita-Zapata, Isaac Triguero:
Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. 82-102 - Fabian Karl, Ansgar Scherp:
Transformers are Short-Text Classifiers. 103-122 - Yash Paliwal, Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Xiaoming Duan, Ufuk Topcu, Zhe Xu:
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams. 123-140 - Daniel E. O'Leary, Yangin Yoon:
Using Machine Learning to Generate a Dictionary for Environmental Issues. 141-154 - Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Chiara Natali, Valerio Caccavella, Enrico Gallazzi:
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice. 155-169 - Christina Tavolato-Wötzl, Paul Tavolato:
Enhancing Trust in Machine Learning Systems by Formal Methods - With an Application to a Meteorological Problem. 170-187 - Torsten Priebe, Peter Kieseberg, Alexander C. Adrowitzer, Oliver Eigner, Fabian Kovac:
Sustainability Effects of Robust and Resilient Artificial Intelligence. 188-199 - Nicolas Lell, Ansgar Scherp:
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs. 200-226 - Andrei Nascu, Smaranda Belciug, Anca-Maria Istrate-Ofiteru, Dominic Gabriel Iliescu:
Probabilistic Framework Based on Deep Learning for Differentiating Ultrasound Movie View Planes. 227-238 - Sebastian Eresheim, Fabian Kovac, Alexander C. Adrowitzer:
Standing Still Is Not an Option: Alternative Baselines for Attainable Utility Preservation. 239-257 - Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp:
Memorization of Named Entities in Fine-Tuned BERT Models. 258-279 - Johannes Scherer, Deepayan Bhowmik, Ansgar Scherp:
Event and Entity Extraction from Generated Video Captions. 280-300 - Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
Fine-Tuning Language Models for Scientific Writing Support. 301-318
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