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