Relational Learning with Decision Trees. - Peter Geibel; Fritz Wysotzki (ECAI, 1996)

Learning Relational Concepts with Decision Trees. - Peter Geibel; Fritz Wysotzki (ICML, 1996)

A Logical Framework for Graph Theoretical Decision Tree Learning. - Peter Geibel; Fritz Wysotzki (ILP, 1997)

Induktive Konstruktion von merkmalsbasierten und logischen Klassifikatoren für relationale Strukturen. - Peter Geibel (Infix, 1999)

Graphbasierte Lernverfahren für relationale Daten. - Peter Geibel; Fritz Wysotzki (Inform. Forsch. Entwickl., 2000)

Reinforcement Learning with Bounded Risk. - Peter Geibel (ICML, 2001)

Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects. - Peter Geibel; Kristina Schädler; Fritz Wysotzki (KI, 2002)

Support Vector Machines with Example Dependent Costs. - Ulf Brefeld; Peter Geibel; Fritz Wysotzki (ECML, 2003)

Perceptron Based Learning with Example Dependent and Noisy Costs. - Peter Geibel; Fritz Wysotzki (ICML, 2003)

Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. - Peter Geibel; Ulf Brefeld; Fritz Wysotzki (IDA, 2003)

Connectionist construction of prototypes from decision trees for graph classification. - Peter Geibel; Kristina Schädler; Fritz Wysotzki (Intell. Data Anal., 2003)

SVM learning with the SH inner product. - Peter Geibel; Brijnesh J. Jain; Fritz Wysotzki (ESANN, 2004)

Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition. - Brijnesh J. Jain; Peter Geibel; Fritz Wysotzki (KI, 2004)

Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs. - Peter Geibel; Fritz Wysotzki (Appl. Intell., 2004)

Perceptron and SVM learning with generalized cost models. - Peter Geibel; Ulf Brefeld; Fritz Wysotzki (Intell. Data Anal., 2004)

SVM learning with the Schur-Hadamard inner product for graphs. - Brijnesh J. Jain; Peter Geibel; Fritz Wysotzki (Neurocomputing, 2005)

Risk-Sensitive Reinforcement Learning Applied to Control under Constraints. - Peter Geibel; Fritz Wysotzki (J. Artif. Intell. Res., 2005)

Reinforcement Learning for MDPs with Constraints. - Peter Geibel (ECML, 2006)

Structure-Sensitive Learning of Text Types. - Peter Geibel; Ulf Krumnack; Olga Pustylnikov; Alexander Mehler; Helmar Gust; Kai-Uwe Kühnberger (Australian Conference on Artificial Intelligence, 2007)

Classification of Documents Based on the Structure of Their DOM Trees. - Peter Geibel; Olga Pustylnikov; Alexander Mehler; Helmar Gust; Kai-Uwe Kühnberger (ICONIP (2), 2007)

Learning and Memorizing Models of Logical Theories in a Hybrid Learning Device. - Helmar Gust; Kai-Uwe Kühnberger; Peter Geibel (ICONIP (2), 2007)

Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture. - Kai-Uwe Kühnberger; Tonio Wandmacher; Angela Schwering; Ekaterina Ovchinnikova; Ulf Krumnack; Helmar Gust; Peter Geibel (FAInt, 2007)

Variants of Tree Kernels for XML Documents. - Peter Geibel; Helmar Gust; Kai-Uwe Kühnberger (MICAI, 2007)

Learning Models of Relational MDPs Using Graph Kernels. - Florian Halbritter; Peter Geibel (MICAI, 2007)

I-Cog: A Computational Framework for Integrated Cognition of Higher Cognitive Abilities. - Kai-Uwe Kühnberger; Tonio Wandmacher; Angela Schwering; Ekaterina Ovchinnikova; Ulf Krumnack; Helmar Gust; Peter Geibel (MICAI, 2007)

Structural Classifiers of Text Types: Towards a Novel Model of Text Representation. - Alexander Mehler; Peter Geibel; Olga Pustylnikov (LDV Forum, 2007)

Learning Models of Predicate Logical Theories with Neural Networks Based on Topos Theory. - Helmar Gust; Kai-Uwe Kühnberger; Peter Geibel (Perspectives of Neural-Symbolic Integration, 2007)

Learning from Inconsistencies in an Integrated Cognitive Architecture. - Kai-Uwe Kühnberger; Peter Geibel; Helmar Gust; Ulf Krumnack; Ekaterina Ovchinnikova; Angela Schwering; Tonio Wandmacher (AGI, 2008)

Perspectives of Neuro–Symbolic Integration – Extended Abstract –. - Kai-Uwe Kühnberger; Helmar Gust; Peter Geibel (Recurrent Neural Networks, 2008)

Ontology Mapping via Structural and Instance-based Similarity Measures. - Konstantin Todorov; Peter Geibel (OM, 2008)

Variable Selection as an Instance-Based Ontology Mapping Strategy. - Konstantin Todorov; Peter Geibel (SWWS, 2009)

A New Information Measure Based on Example-Dependent Misclassification Costs and Its Application in Decision Tree Learning. - Fritz Wysotzki; Peter Geibel (Adv. Artif. Intell., 2009)

Extensional Ontology Matching with Variable Selection for Support Vector Machines. - Konstantin Todorov; Peter Geibel; Kai-Uwe Kühnberger (CISIS, 2010)

Mining Concept Similarities for Heterogeneous Ontologies. - Konstantin Todorov; Peter Geibel; Kai-Uwe Kühnberger (ICDM, 2010)

A Framework for a Fuzzy Matching between Multiple Domain Ontologies. - Konstantin Todorov; Peter Geibel; Céline Hudelot (KES (1), 2011)

Building A Fuzzy Knowledge Body for Integrating Domain Ontologies. - Konstantin Todorov; Peter Geibel; Céline Hudelot (URSW, 2011)

Learning Methods for Graph Models of Document Structure. - Peter Geibel; Alexander Mehler; Kai-Uwe Kühnberger (Modeling, Learning, and Processing of Text Technological Data Structures, 2012)

Patient Identification for Clinical Trials with Ontology-based Information Extraction from Documents. - Peter Geibel; Hebun Erdur; Lothar Zimmermann; Stefan Krüger; Kati Jegzentis; Josef Schepers; Anne Becker; Frank Müller; Christian Hans Nolte; Jan Friedrich Scheitz; Serdar Tütüncü; Tatiana Usnich; et al. (KEOD, 2013)

Ontology-Based Semantic Annotation of Documents in the Context of Patient Identification for Clinical Trials. - Peter Geibel; Martin Trautwein; Hebun Erdur; Lothar Zimmermann; Stefan Krüger; Josef Schepers; Kati Jegzentis; Frank Müller; Christian Hans Nolte; Anne Becker; Markus Frick; Jochen Setz; et al. (OTM Conferences, 2013)

Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge. - Konstantin Todorov; Céline Hudelot; Peter Geibel (URSW (LNCS Vol.), 2014)

Fuzzy Ontology Alignment using Background Knowledge. - Konstantin Todorov; Céline Hudelot; Adrian Popescu 001; Peter Geibel (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Ontology-Based Information Extraction: Identifying Eligible Patients for Clinical Trials in Neurology. - Peter Geibel; Martin Trautwein; Hebun Erdur; Lothar Zimmermann; Kati Jegzentis; Michaela Bengner; Christian Hans Nolte; Thomas Tolxdorff (J. Data Semant., 2015)

How to Work with Vocabulary Correctly, Exemplified with Gender Coding? - Frank Oemig; Bernd Blobel; Peter Geibel (MIE, 2016)