Peter Geibel - RankMe

44 papers A* 4A 1B 3C 1Misc 3Journal 11Unranked 18

Year	Rank	Type	Title / Venue / Authors
2016	—	`conf`	How to Work with Vocabulary Correctly, Exemplified with Gender Coding? MIE Frank Oemig, Bernd Blobel, Peter Geibel
2015	J	`jnl`	Ontology-Based Information Extraction: Identifying Eligible Patients for Clinical Trials in Neurology. J. Data Semant. Peter Geibel, Martin Trautwein, Hebun Erdur, Lothar Zimmermann, Kati Jegzentis, Michaela Bengner, Christian Hans Nolte, Thomas Tolxdorff
2014	J	`jnl`	Fuzzy Ontology Alignment using Background Knowledge. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Konstantin Todorov, Céline Hudelot, Adrian Popescu, Peter Geibel
2014	—	`conf`	Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge. URSW (LNCS Vol.) Konstantin Todorov, Céline Hudelot, Peter Geibel
2013	—	`conf`	Ontology-Based Semantic Annotation of Documents in the Context of Patient Identification for Clinical Trials. OTM Conferences 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
2013	C	`conf`	Patient Identification for Clinical Trials with Ontology-based Information Extraction from Documents. KEOD 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
2012	—	`ch.`	Learning Methods for Graph Models of Document Structure. Modeling, Learning, and Processing of Text Technological Data Structures Peter Geibel, Alexander Mehler, Kai-Uwe Kühnberger
2011	—	`conf`	A Framework for a Fuzzy Matching between Multiple Domain Ontologies. KES (1) Konstantin Todorov, Peter Geibel, Céline Hudelot
2011	—	`conf`	Building A Fuzzy Knowledge Body for Integrating Domain Ontologies. URSW Konstantin Todorov, Peter Geibel, Céline Hudelot
2011	J	`jnl`	Risk-Sensitive Reinforcement Learning Applied to Control under Constraints CoRR Peter Geibel, Fritz Wysotzki
2010	Misc	`conf`	Extensional Ontology Matching with Variable Selection for Support Vector Machines. CISIS Konstantin Todorov, Peter Geibel, Kai-Uwe Kühnberger
2010	A*	`conf`	Mining Concept Similarities for Heterogeneous Ontologies. ICDM Konstantin Todorov, Peter Geibel, Kai-Uwe Kühnberger
2009	J	`jnl`	A New Information Measure Based on Example-Dependent Misclassification Costs and Its Application in Decision Tree Learning. Adv. Artif. Intell. Fritz Wysotzki, Peter Geibel
2009	—	`conf`	Variable Selection as an Instance-Based Ontology Mapping Strategy. SWWS Konstantin Todorov, Peter Geibel
2008	—	`conf`	Learning from Inconsistencies in an Integrated Cognitive Architecture. AGI Kai-Uwe Kühnberger, Peter Geibel, Helmar Gust, Ulf Krumnack, Ekaterina Ovchinnikova, Angela Schwering, Tonio Wandmacher
2008	—	`conf`	Ontology Mapping via Structural and Instance-based Similarity Measures. OM Konstantin Todorov, Peter Geibel
2008	—	`conf`	Perspectives of Neuro--Symbolic Integration -- Extended Abstract --. Recurrent Neural Networks Kai-Uwe Kühnberger, Helmar Gust, Peter Geibel
2007	—	`conf`	Classification of Documents Based on the Structure of Their DOM Trees. ICONIP (2) Peter Geibel, Olga Pustylnikov, Alexander Mehler, Helmar Gust, Kai-Uwe Kühnberger
2007	—	`conf`	I-Cog: A Computational Framework for Integrated Cognition of Higher Cognitive Abilities. MICAI Kai-Uwe Kühnberger, Tonio Wandmacher, Angela Schwering, Ekaterina Ovchinnikova, Ulf Krumnack, Helmar Gust, Peter Geibel
2007	—	`ch.`	Learning Models of Predicate Logical Theories with Neural Networks Based on Topos Theory. Perspectives of Neural-Symbolic Integration Helmar Gust, Kai-Uwe Kühnberger, Peter Geibel
2007	—	`conf`	Learning Models of Relational MDPs Using Graph Kernels. MICAI Florian Halbritter, Peter Geibel
2007	—	`conf`	Learning and Memorizing Models of Logical Theories in a Hybrid Learning Device. ICONIP (2) Helmar Gust, Kai-Uwe Kühnberger, Peter Geibel
2007	—	`conf`	Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture. FAInt Kai-Uwe Kühnberger, Tonio Wandmacher, Angela Schwering, Ekaterina Ovchinnikova, Ulf Krumnack, Helmar Gust, Peter Geibel
2007	J	`jnl`	Structural Classifiers of Text Types: Towards a Novel Model of Text Representation. LDV Forum Alexander Mehler, Peter Geibel, Olga Pustylnikov
2007	—	`conf`	Structure-Sensitive Learning of Text Types. Australian Conference on Artificial Intelligence Peter Geibel, Ulf Krumnack, Olga Pustylnikov, Alexander Mehler, Helmar Gust, Kai-Uwe Kühnberger
2007	—	`conf`	Variants of Tree Kernels for XML Documents. MICAI Peter Geibel, Helmar Gust, Kai-Uwe Kühnberger
2006	—	`conf`	Reinforcement Learning for MDPs with Constraints. ECML Peter Geibel
2005	J	`jnl`	Risk-Sensitive Reinforcement Learning Applied to Control under Constraints. J. Artif. Intell. Res. Peter Geibel, Fritz Wysotzki
2005	J	`jnl`	SVM learning with the Schur-Hadamard inner product for graphs. Neurocomputing Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki
2004	Misc	`conf`	Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition. KI Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki
2004	J	`jnl`	Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs. Appl. Intell. Peter Geibel, Fritz Wysotzki
2004	J	`jnl`	Perceptron and SVM learning with generalized cost models. Intell. Data Anal. Peter Geibel, Ulf Brefeld, Fritz Wysotzki
2004	B	`conf`	SVM learning with the SH inner product. ESANN Peter Geibel, Brijnesh J. Jain, Fritz Wysotzki
2003	J	`jnl`	Connectionist construction of prototypes from decision trees for graph classification. Intell. Data Anal. Peter Geibel, Kristina Schädler, Fritz Wysotzki
2003	B	`conf`	Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. IDA Peter Geibel, Ulf Brefeld, Fritz Wysotzki
2003	A*	`conf`	Perceptron Based Learning with Example Dependent and Noisy Costs. ICML Peter Geibel, Fritz Wysotzki
2003	—	`conf`	Support Vector Machines with Example Dependent Costs. ECML Ulf Brefeld, Peter Geibel, Fritz Wysotzki
2002	Misc	`conf`	Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects. KI Peter Geibel, Kristina Schädler, Fritz Wysotzki
2001	A*	`conf`	Reinforcement Learning with Bounded Risk. ICML Peter Geibel
2000	J	`jnl`	Graphbasierte Lernverfahren für relationale Daten. Inform. Forsch. Entwickl. Peter Geibel, Fritz Wysotzki
1999	—	`—`	Induktive Konstruktion von merkmalsbasierten und logischen Klassifikatoren für relationale Strukturen. Peter Geibel
1997	B	`conf`	A Logical Framework for Graph Theoretical Decision Tree Learning. ILP Peter Geibel, Fritz Wysotzki
1996	A*	`conf`	Learning Relational Concepts with Decision Trees. ICML Peter Geibel, Fritz Wysotzki
1996	A	`conf`	Relational Learning with Decision Trees. ECAI Peter Geibel, Fritz Wysotzki