Peter Geibel

According to our database, Peter Geibel authored at least 43 papers between 1996 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

How to Work with Vocabulary Correctly, Exemplified with Gender Coding?

Frank Oemig, Bernd Blobel, Peter Geibel

Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

2015

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

2014

Fuzzy Ontology Alignment using Background Knowledge.

Konstantin Todorov, Céline Hudelot, Adrian Popescu, Peter Geibel

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge.

Konstantin Todorov, Céline Hudelot, Peter Geibel

Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014

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, Jan Friedrich Scheitz, Serdar Tütüncü, Tatiana Usnich, Alfred Holzgreve, Thorsten Schaaf, Thomas Tolxdorff

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

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, Markus Frick, Martin Trautwein, Thorsten Schaaf, Alfred Holzgreve, Thomas Tolxdorff

Proceedings of the KEOD 2013, 2013

2012

Learning Methods for Graph Models of Document Structure.

Peter Geibel, Alexander Mehler, Kai-Uwe Kühnberger

Proceedings of the Modeling, 2012

2011

Building A Fuzzy Knowledge Body for Integrating Domain Ontologies.

Konstantin Todorov, Peter Geibel, Céline Hudelot

Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), 2011

A Framework for a Fuzzy Matching between Multiple Domain Ontologies.

Konstantin Todorov, Peter Geibel, Céline Hudelot

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

2010

Mining Concept Similarities for Heterogeneous Ontologies.

Konstantin Todorov, Peter Geibel, Kai-Uwe Kühnberger

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Extensional Ontology Matching with Variable Selection for Support Vector Machines.

Konstantin Todorov, Peter Geibel, Kai-Uwe Kühnberger

Proceedings of the CISIS 2010, 2010

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

Variable Selection as an Instance-Based Ontology Mapping Strategy.

Konstantin Todorov, Peter Geibel

Proceedings of the 2009 International Conference on Semantic Web & Web Services, 2009

2008

Ontology Mapping via Structural and Instance-based Similarity Measures.

Konstantin Todorov, Peter Geibel

Proceedings of the 3rd International Workshop on Ontology Matching (OM-2008) Collocated with the 7th International Semantic Web Conference (ISWC-2008), 2008

Perspectives of Neuro--Symbolic Integration -- Extended Abstract --.

Kai-Uwe Kühnberger, Helmar Gust, Peter Geibel

Proceedings of the Recurrent Neural Networks - Models, Capacities, and Applications, 20.01., 2008

Learning from Inconsistencies in an Integrated Cognitive Architecture.

Kai-Uwe Kühnberger, Peter Geibel, Helmar Gust, Ulf Krumnack, Ekaterina Ovchinnikova, Angela Schwering, Tonio Wandmacher

Proceedings of the Artificial General Intelligence 2008, 2008

2007

Learning Models of Predicate Logical Theories with Neural Networks Based on Topos Theory.

Helmar Gust, Kai-Uwe Kühnberger, Peter Geibel

Proceedings of the Perspectives of Neural-Symbolic Integration, 2007

Structural Classifiers of Text Types: Towards a Novel Model of Text Representation.

Alexander Mehler, Peter Geibel, Olga Pustylnikov

LDV Forum, 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

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Learning Models of Relational MDPs Using Graph Kernels.

Florian Halbritter, Peter Geibel

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Variants of Tree Kernels for XML Documents.

Peter Geibel, Helmar Gust, Kai-Uwe Kühnberger

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 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

Proceedings of the Foundations of Artificial Intelligence FAInt 2007, 2007

Learning and Memorizing Models of Logical Theories in a Hybrid Learning Device.

Helmar Gust, Kai-Uwe Kühnberger, Peter Geibel

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Classification of Documents Based on the Structure of Their DOM Trees.

Peter Geibel, Olga Pustylnikov, Alexander Mehler, Helmar Gust, Kai-Uwe Kühnberger

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Structure-Sensitive Learning of Text Types.

Peter Geibel, Ulf Krumnack, Olga Pustylnikov, Alexander Mehler, Helmar Gust, Kai-Uwe Kühnberger

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

Reinforcement Learning for MDPs with Constraints.

Peter Geibel

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Risk-Sensitive Reinforcement Learning Applied to Control under Constraints.

Peter Geibel, Fritz Wysotzki

J. Artif. Intell. Res., 2005

SVM learning with the Schur-Hadamard inner product for graphs.

Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki

Neurocomputing, 2005

2004

Perceptron and SVM learning with generalized cost models.

Peter Geibel, Ulf Brefeld, Fritz Wysotzki

Intell. Data Anal., 2004

Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs.

Peter Geibel, Fritz Wysotzki

Appl. Intell., 2004

Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition.

Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki

Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

SVM learning with the SH inner product.

Peter Geibel, Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Connectionist construction of prototypes from decision trees for graph classification.

Peter Geibel, Kristina Schädler, Fritz Wysotzki

Intell. Data Anal., 2003

Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs.

Peter Geibel, Ulf Brefeld, Fritz Wysotzki

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Perceptron Based Learning with Example Dependent and Noisy Costs.

Peter Geibel, Fritz Wysotzki

Proceedings of the Machine Learning, 2003

Support Vector Machines with Example Dependent Costs.

Ulf Brefeld, Peter Geibel, Fritz Wysotzki

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects.

Peter Geibel, Kristina Schädler, Fritz Wysotzki

Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

2001

Reinforcement Learning with Bounded Risk.

Peter Geibel

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000

Graphbasierte Lernverfahren für relationale Daten.

Peter Geibel, Fritz Wysotzki

Inform. Forsch. Entwickl., 2000

1999

Induktive Konstruktion von merkmalsbasierten und logischen Klassifikatoren für relationale Strukturen.

Peter Geibel

PhD thesis, 1999

1997

A Logical Framework for Graph Theoretical Decision Tree Learning.

Peter Geibel, Fritz Wysotzki

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

1996

Learning Relational Concepts with Decision Trees.

Peter Geibel, Fritz Wysotzki

Proceedings of the Machine Learning, 1996

Relational Learning with Decision Trees.

Peter Geibel, Fritz Wysotzki

Proceedings of the 12th European Conference on Artificial Intelligence, 1996