Computer models solving intelligence test problems: Progress and implications J Hernández-Orallo, F Martínez-Plumed, U Schmid, M Siebers, DL Dowe Artificial Intelligence 230, 74-107, 2016 | 104 | 2016 |
Enriching visual with verbal explanations for relational concepts–combining LIME with Aleph J Rabold, H Deininger, M Siebers, U Schmid Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 71 | 2020 |
Explaining black-box classifiers with ILP–empowering LIME with Aleph to approximate non-linear decisions with relational rules J Rabold, M Siebers, U Schmid Inductive Logic Programming: 28th International Conference, ILP 2018 …, 2018 | 44 | 2018 |
Problems of video-based pain detection in patients with dementia: a road map to an interdisciplinary solution M Kunz, D Seuss, T Hassan, JU Garbas, M Siebers, U Schmid, ... BMC geriatrics 17, 1-8, 2017 | 41 | 2017 |
Please delete that! Why should I? M Siebers, U Schmid KI-Künstliche Intelligenz 33 (1), 35-44, 2019 | 21 | 2019 |
Generating contrastive explanations for inductive logic programming based on a near miss approach J Rabold, M Siebers, U Schmid Machine Learning 111 (5), 1799-1820, 2022 | 18 | 2022 |
Characterizing facial expressions by grammars of action unit sequences–A first investigation using ABL M Siebers, U Schmid, D Seuß, M Kunz, S Lautenbacher Information Sciences 329, 866-875, 2016 | 17 | 2016 |
Semi-analytic natural number series induction M Siebers, U Schmid KI 2012: Advances in Artificial Intelligence, 249-252, 2012 | 14 | 2012 |
Intentional forgetting in socio-digital work systems: system characteristics and user-related psychological consequences on emotion, cognition, and behavior T Ellwart, AS Ulfert, CH Antoni, J Becker, C Frings, K Göbel, G Hertel, ... AIS Transactions on Enterprise Systems 4 (1), 2019 | 12 | 2019 |
Intentional forgetting in artificial intelligence systems: Perspectives and challenges IJ Timm, S Staab, M Siebers, C Schon, U Schmid, K Sauerwald, L Reuter, ... KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI …, 2018 | 12 | 2018 |
Time to forget C Niessen, K Göbel, M Siebers, U Schmid Zeitschrift für Arbeits-und Organisationspsychologie A&O, 2019 | 11 | 2019 |
Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain. U Schmid, M Siebers, D Seuß, M Kunz, S Lautenbacher ICGI, 183-188, 2012 | 11 | 2012 |
A cognitive model for predicting esthetical judgements as similarity to dynamic prototypes U Schmid, M Siebers, J Folger, S Schineller, D Seuß, M Raab, CC Carbon, ... Cognitive Systems Research 24, 72-79, 2013 | 7 | 2013 |
On the Relevance of Sequence Information for Decoding Facial Expressions of Pain and Disgust?: An Avatar Study M Siebers, T Engelbrecht, U Schmid 7th Workshop Emotion & Computing -- Current Research and Future Impact, 3-9, 2013 | 7* | 2013 |
A Cognitive Model For Predicting Aesthetical Judgements As Similarity to Dynamic Prototypes U Schmid, M Siebers, J Folger, S Schineller, D Seuß, M Raab, CC Carbon, ... 11th International Conference on Cognitive Modeling, 13-18, 2012 | 7 | 2012 |
Requirements for a companion system to support identifying irrelevancy M Siebers, K Gobel, C Niessen, U Schmid 2017 International Conference on Companion Technology (ICCT), 1-2, 2017 | 6 | 2017 |
Analogical problem solving: insights from verbal reports L Gralla, T Tenbrink, M Siebers, U Schmid Proceedings of the 34th Annual Conference of the Cognitive Science Society …, 2012 | 6 | 2012 |
Joint European Conference on Machine Learning and Knowledge Discovery in Databases J Rabold, H Deininger, M Siebers, U Schmid | 5 | 2019 |
A Psychonic Approach to the Design of a Cognitive Companion Supporting Intentional Forgetting M Siebers, U Schmid, K Göbel, C Niessen 6. Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, 2017 | 5 | 2017 |
A process framework for inducing and explaining Datalog theories M Gromowski, M Siebers, U Schmid Advances in Data Analysis and Classification 14 (4), 821-835, 2020 | 4 | 2020 |