Michael Siebers

23 papers A* 1B 3Misc 2Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2022 J jnl
Generating contrastive explanations for inductive logic programming based on a near miss approach.
Mach. Learn.
Johannes Rabold, Michael Siebers, Ute Schmid
2021 J jnl
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach.
CoRR
Johannes Rabold, Michael Siebers, Ute Schmid
2020 J jnl
A process framework for inducing and explaining Datalog theories.
Adv. Data Anal. Classif.
Mark Gromowski, Michael Siebers, Ute Schmid
2019 — conf
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph.
PKDD/ECML Workshops (1)
Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid
2019 J jnl
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph.
CoRR
Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid
2019 J jnl
Please delete that! Why should I? - Explaining learned irrelevance classifications of digital objects.
Künstliche Intell.
Michael Siebers, Ute Schmid
2018 B conf
Explaining Black-Box Classifiers with ILP - Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules.
ILP
Johannes Rabold, Michael Siebers, Ute Schmid
2018 Misc conf
Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges.
KI
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
2018 B conf
Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol.
ILP
Michael Siebers, Ute Schmid
2017 A* conf
Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract).
IJCAI
José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe
2017 — conf
Requirements for a companion system to support identifying irrelevancy.
ICCT
Michael Siebers, Kyra Gobel, Cornelia Niessen, Ute Schmid
2016 — conf
Automatische Detektion von Trockenstress bei Tabakpflanzen mittels Machine-Learning-Verfahren.
GIL Jahrestagung
Michael Siebers, Franz Uhrmann, Oliver Scholz, Christoph Stocker, Ute Schmid
2016 J jnl
Characterizing facial expressions by grammars of action unit sequences - A first investigation using ABL.
Inf. Sci.
Michael Siebers, Ute Schmid, Dominik Seuß, Miriam Kunz, Stefan Lautenbacher
2016 J jnl
Computer models solving intelligence test problems: Progress and implications.
Artif. Intell.
José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe
2014 J jnl
Transfer of Domain Knowledge in Plan Generation: Learning Goal-dependent Annulling Conditions for Actions.
Künstliche Intell.
Michael Siebers
2013 J jnl
A cognitive model for predicting esthetical judgements as similarity to dynamic prototypes.
Cogn. Syst. Res.
Ute Schmid, Michael Siebers, Johannes Folger, Simone Schineller, Dominik Seuß, Marius Raab, Claus-Christian Carbon, Stella J. Faerber
2013 — conf
A machine learning approach to drought stress level classification of tobacco plants.
LWA
Christoph Stocker, Franz Uhrmann, Oliver Scholz, Michael Siebers, Ute Schmid
2013 — conf
Erkennung von Sequenzen mimischer Schmerzausdrücke durch genetische Programmierung.
LWA
Christoph Stocker, Michael Siebers, Ute Schmid
2012 B conf
Analogical Problem Solving: Insights from Verbal Reports.
CogSci
Linn Gralla, Thora Tenbrink, Michael Siebers, Ute Schmid
2012 — conf
Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain.
ICGI
Ute Schmid, Michael Siebers, Dominik Seuß, Miriam Kunz, Stefan Lautenbacher
2012 Misc conf
Semi-analytic Natural Number Series Induction.
KI
Michael Siebers, Ute Schmid
2011 — conf
Combining Supervised and Unsupervised Learning - An Ensemble Learning Framework Proposal.
LWA
Michael Siebers
2010 — conf
Interleaving Forward Backward Feature Selection.
KDIR
Michael Siebers, Ute Schmid