Michael Siebers
Cited by
Cited by
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
Semi-analytic natural number series induction
M Siebers, U Schmid
KI 2012: Advances in Artificial Intelligence, 249-252, 2012
Explaining black-box classifiers with ILP–empowering LIME with Aleph to approximate non-linear decisions with relational rules
J Rabold, M Siebers, U Schmid
International Conference on Inductive Logic Programming, 105-117, 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), 33, 2017
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
Please delete that! Why should I?
M Siebers, U Schmid
KI-Künstliche Intelligenz 33 (1), 35-44, 2019
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
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
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
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
Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges
IJ Timm, S Staab, M Siebers, C Schon, U Schmid, K Sauerwald, L Reuter, ...
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2018
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
Intentional Forgetting in Socio-Digital Work Systems
T Ellwart, AS Ulfert, CH Antoni, J Becker, C Frings, K Göbel, G Hertel, ...
AIS Transactions on Enterprise Systems 4 (1), 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
A machine learning approach to drought stress level classification of tobacco plants
C Stocker, F Uhrmann, O Scholz, C Hügel, T Rademacher, M Siebers, ...
LWA 2013. Lernen, Wissen & Adaptivität, 174-178, 2013
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
Exploring the needs of people with dementia regarding assistive technology to save quality of life and independent living at home
G Streffing, M Siebers, E Gräßel, U Schmid
European Psychiatry 26, 501, 2011
Classifying Facial Pain Expressions Individual Classifiers vs. Global Classifiers
M Siebers, M Kunz, S Lautenbacher, U Schmid
4th Workshop on Emotion and Computing - Current Research and Future Impact …, 2009
Time to Forget
C Niessen, K Göbel, M Siebers, U Schmid
Zeitschrift für Arbeits-und Organisationspsychologie A&O, 2019
Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol
M Siebers, U Schmid
International Conference on Inductive Logic Programming, 141-156, 2018
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