Abstract is missing.
- Towards Automated GDPR Compliance CheckingTomer Libal. 3-19 [doi]
- Underestimation Bias and Underfitting in Machine LearningPádraig Cunningham, Sarah Jane Delany. 20-31 [doi]
- Consensus for Collaborative Creation of Risk Maps for COVID-19Miguel Rebollo, C. Carrascosa, Alberto Palomares. 32-48 [doi]
- Guided-LORE: Improving LORE with a Focused Search of NeighboursNajlaa Maaroof, Antonio Moreno, Aïda Valls, Mohammed Jabreel. 49-62 [doi]
- Interactive Natural Language Technology for Explainable Artificial IntelligenceJosé Maria Alonso, Senén Barro, Alberto Bugarín, Kees van Deemter, Claire Gardent, Albert Gatt, Ehud Reiter, Carles Sierra, Mariët Theune, Nava Tintarev, Hitoshi Yano, Katarzyna Budzynska. 63-70 [doi]
- Hybrid AI: The Way Forward in AI by Developing Four DimensionsAlbert Huizing, Cor Veenman, Mark A. Neerincx, Judith Dijk. 71-76 [doi]
- Towards Certifying Trustworthy Machine Learning SystemsRoland H. C. Yap. 77-82 [doi]
- Lab Conditions for Research on Explainable Automated DecisionsChristel Baier, Maria Christakis, Timo P. Gros, David Groß, Stefan Gumhold, Holger Hermanns, Jörg Hoffmann 0001, Michaela Klauck. 83-90 [doi]
- Assessment of Manifold Unfolding in Trained Deep Neural Network ClassifiersStefan Pócos, Iveta Becková, Tomás Kuzma, Igor Farkas. 93-103 [doi]
- Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic AlgorithmsFredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz. 104-111 [doi]
- An Analysis of Regularized Approaches for Constrained Machine LearningMichele Lombardi 0001, Federico Baldo, Andrea Borghesi, Michela Milano. 112-119 [doi]
- Safe Learning and Optimization Techniques: Towards a Survey of the State of the ArtYoungmin Kim, Richard Allmendinger 0001, Manuel López-Ibáñez 0001. 123-139 [doi]
- A Causal Framework for Understanding Optimisation AlgorithmsAlberto Franzin, Thomas Stützle. 140-145 [doi]
- Uncertainty Quantification and Calibration of Imitation Learning Policy in Autonomous DrivingFarzad Nozarian, Christian Müller, Philipp Slusallek. 146-162 [doi]
- Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule LearningYouri Coppens, Denis Steckelmacher, Catholijn M. Jonker, Ann Nowé. 163-179 [doi]
- Modelling Agent Policies with Interpretable Imitation LearningTom Bewley, Jonathan Lawry, Arthur Richards. 180-186 [doi]
- Value-Alignment Equilibrium in Multiagent SystemsNieves Montes, Carles Sierra. 189-204 [doi]
- Election Manipulation on Social Networks with Messages on Multiple Candidates Extended AbstractMatteo Castiglioni, Diodato Ferraioli, Nicola Gatti 0001, Giulia Landriani. 205-211 [doi]
- Process-To-Text: A Framework for the Quantitative Description of Processes in Natural LanguageYago Fontenla-Seco, Manuel Lama, Alberto Bugarín. 212-219 [doi]
- AI-Supported Innovation MonitoringBarteld Braaksma, Piet Daas, Stephan Raaijmakers, Amber Geurts, André Meyer-Vitali. 220-226 [doi]
- Semi-supervised Co-ensembling for AutoMLJesper E. van Engelen, Holger H. Hoos. 229-250 [doi]
- Transparent Adaptation in Deep Medical Image DiagnosisDimitris Kollias, Y. Vlaxos, M. Seferis, Ilianna Kollia, Levon Sukissian, James Wingate, Stefanos D. Kollias. 251-267 [doi]
- Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for RobustnessMohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann. 268-275 [doi]