Michael Siebers

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 14

Top Topics

Logic Programming

Relational Data Mining

Facial Expressions

Top Venues

Künstliche Intell.

Publications

Johannes Rabold, Michael Siebers, Ute Schmid
Generating contrastive explanations for inductive logic programming based on a near miss approach. Mach. Learn. 111 (5) (2022)
Johannes Rabold, Michael Siebers, Ute Schmid
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach. CoRR (2021)
Mark Gromowski, Michael Siebers, Ute Schmid
A process framework for inducing and explaining Datalog theories. Adv. Data Anal. Classif. 14 (4) (2020)
Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph. CoRR (2019)
Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph. PKDD/ECML Workshops (1) (2019)
Michael Siebers, Ute Schmid
Please delete that! Why should I? - Explaining learned irrelevance classifications of digital objects. Künstliche Intell. 33 (1) (2019)
Michael Siebers, Ute Schmid
Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol. ILP (2018)
Johannes Rabold, Michael Siebers, Ute Schmid
Explaining Black-Box Classifiers with ILP - Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules. ILP (2018)
Ingo J. Timm, Steffen Staab, Michael Siebers, Claudia Schon, Ute Schmid, Kai Sauerwald, Lukas Reuter, Marco Ragni, Claudia Niederée, Heiko Maus, Gabriele Kern-Isberner, Christian Jilek, Paulina Friemann, Thomas Eiter, Andreas Dengel, Hannah Dames, Tanja Bock, Jan Ole Berndt, Christoph Beierle
Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges. KI (2018)
Michael Siebers, Kyra Gobel, Cornelia Niessen, Ute Schmid
Requirements for a companion system to support identifying irrelevancy. ICCT (2017)
José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe
Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract). IJCAI (2017)
José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe
Computer models solving intelligence test problems: Progress and implications. Artif. Intell. 230 (2016)
Michael Siebers, Ute Schmid, Dominik Seuß, Miriam Kunz, Stefan Lautenbacher
Characterizing facial expressions by grammars of action unit sequences - A first investigation using ABL. Inf. Sci. 329 (2016)
Michael Siebers, Franz Uhrmann, Oliver Scholz, Christoph Stocker, Ute Schmid
Automatische Detektion von Trockenstress bei Tabakpflanzen mittels Machine-Learning-Verfahren. GIL Jahrestagung (2016)
Michael Siebers
Transfer of Domain Knowledge in Plan Generation: Learning Goal-dependent Annulling Conditions for Actions. Künstliche Intell. 28 (1) (2014)
Ute Schmid, Michael Siebers, Johannes Folger, Simone Schineller, Dominik Seuß, Marius Raab, Claus-Christian Carbon, Stella J. Faerber
A cognitive model for predicting esthetical judgements as similarity to dynamic prototypes. Cogn. Syst. Res. 24 (2013)
Christoph Stocker, Franz Uhrmann, Oliver Scholz, Michael Siebers, Ute Schmid
A machine learning approach to drought stress level classification of tobacco plants. LWA (2013)
Christoph Stocker, Michael Siebers, Ute Schmid
Erkennung von Sequenzen mimischer Schmerzausdrücke durch genetische Programmierung. LWA (2013)
Linn Gralla, Thora Tenbrink, Michael Siebers, Ute Schmid
Analogical Problem Solving: Insights from Verbal Reports. CogSci (2012)
Michael Siebers, Ute Schmid
Semi-analytic Natural Number Series Induction. KI (2012)
Ute Schmid, Michael Siebers, Dominik Seuß, Miriam Kunz, Stefan Lautenbacher
Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain. ICGI (2012)
Michael Siebers
Combining Supervised and Unsupervised Learning - An Ensemble Learning Framework Proposal. LWA (2011)
Michael Siebers, Ute Schmid
Interleaving Forward Backward Feature Selection. KDIR (2010)