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| 2012 | Big [Data] Picture im Wissensmanagement
Hoffmann, Jörg; Paaß, Gerhard; Knapp, Melanie | Conference Paper |
| 2012 | A knowledge-extraction approach to identify and present verbatim quotes in free text
Paaß, Gerhard; Bergholz, Andre; Pilz, Anja | Conference Paper |
| 2012 | Mit "Smart Semantics" mehr aus unstrukturierten Daten machen
Schäfer, Andreas; Paaß, Gerhard | Book Article |
| 2012 | Studie zum technischen Jugendmedienschutz: Möglichkeiten und Grenzen von Verfahren zur Detektion jugendschutzrelevanter Web-Inhalte
Bardeli, Rolf; Becker, Sven; Bergholz, André; Kolb, Inke; Korte, Hannes; Maaskant, Wout; Paaß, Gerhard; Schneider, Daniel; Stein, Daniel; Tschöpel, Sebastian | Study |
| 2011 | From names to entities using thematic context distance
Pilz, Anja; Paaß, Gerhard | Conference Paper |
| 2011 | Future trends in business analytics and optimization
Brown, D.E.; Famili, F.; Paass, G.; Smith-Miles, K.; Thomas, L.C.; Weber, R.; Baeza-Yates, R.; Bravo, C.; L'Huillier, G.; Maldonado, S. | Journal Article |
| 2011 | Machine learning for document structure recognition
Paaß, Gerhard; Konya, Iuliu | Book Article |
| 2010 | A logic-based approach to relation extraction from texts
Horváth, T.; Paaß, G.; Reichartz, F.; Wrobel, S. | Conference Paper |
| 2010 | New filtering approaches for phishing email
Bergholz, A.; Beer, J. de; Glahn, S.; Moens, M.-F.; Paaß, G.; Strobel, S. | Journal Article |
| 2010 | A real-life study in phishing detection
Bergholz, A.; Paaß, G.; D'Addona, L.; Dato, D. | Presentation |
| 2010 | Semantic relation extraction with kernels over typed dependency trees
Reichartz, F.; Korte, H.; Paaß, G. | Conference Paper |
| 2010 | Wie aus Texten und dem Internet Wissen destilliert wird
Paaß, G. | Journal Article |
| 2009 | Composite kernels for relation extraction
Reichartz, F.; Korte, H.; Paaß, G. | Conference Paper |
| 2009 | Dependency tree kernels for relation extraction from natural language text
Reichartz, F.; Korte, H.; Paass, G. | Conference Paper |
| 2009 | Entity resolution by kernel methods
Pilz, A.; Molzberger, L.; Paaß, G. | Conference Paper |
| 2009 | Exploiting semantic constraints for estimating supersenses with CRFs
Paaß, G.; Reichartz, F. | Conference Paper |
| 2009 | Information and knowledge management
Paaß, G.; Schneider, D.; Wrobel, S. | Book Article |
| 2009 | Named entity recognition of spoken documents using subword units
Paaß, G.; Pilz, A.; Schwenninger, J. | Conference Paper |
| 2009 | Named entity resolution using automatically extracted semantic information
Pilz, A.; Paaß, G. | Conference Paper |
| 2009 | Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics, CSI-KDD
: Chen, H.; Dacier, M.; Moens, M.-F.; Paaß, G.; Yang, C.C. | Conference Proceedings |
| 2009 | Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics, CSI-KDD. Preface
Chen, H.; Dacier, M.; Moens, M.-F.; Paaß, G.; Yang, C.C. | Conference Paper |
| 2009 | Text mining and multimedia search in a large content repository
Paaß, G.; Eickeler, S.; Wrobel, S. | Conference Paper |
| 2008 | Anticipating hidden text salting in Emails
Lioma, C.; Moens, M.-F.; Gomez, J.-C.; Beer, J. de; Bergholz, A.; Paaß, G.; Horkan, P. | Conference Paper |
| 2008 | Data mining for security and crime detection
Paaß, G.; Reinhardt, W.; Rüping, S.; Wrobel, S. | Conference Paper |
| 2008 | Entity and relation extraction in texts with semi-supervised extensions
Paaß, G.; Kindermann, J. | Conference Paper |
| 2007 | Analysis of e-discussions using classifier induced semantic spaces
Leopold, E.; Kindermann, J.; Paaß, G. | Journal Article |
| 2006 | Evaluating the performance of text mining systems on real-world press archives
Paaß, G.; Vries, H. de | Conference Paper |
| 2005 | A brief survey of text mining
Hotho, A.; Nürnberger, A.; Paaß, G. | Journal Article |
| 2005 | Investigating word correlation at different scopes
Heinrich, G.; Kindermann, J.; Lauth, C.; Paaß, G.; Monzon, J.S. | Conference Paper |
| 2005 | Konzept zur Evaluation von Textminingverfahren
Paaß, G. | Journal Article |
| 2005 | Learning and extending lexical ontologies by using machine learning methods
: Biemann, C.; Paaß, G. | Conference Proceedings |
| 2004 | Data mining and text mining for science & technology
Leopold, E.; May, M.; Paaß, G. | Book Article |
| 2004 | ECML/PKDD 2004 Workshop on Knowledge Discovery and Ontologies
: Buitelaar, P.; Franke, J.; Grobelnik, M.; Paaß, G.; Svátek, V. | Conference Proceedings |
| 2004 | Enhancing Socioeconomic Surveys by data about Internet Usage
Alluja, T.; Paaß, G.; Prat, A.; Schwab, I. | Conference Paper |
| 2004 | Learning prototype ontologies by hierachical latent semantic analysis
Paaß, G.; Kindermann, J.; Leopold, E. | Conference Paper |
| 2004 | Learning Prototype Ontologies by Hierachical Latent Semantic Analysis
Paaß, G.; Kindermann, J.; Leopold, E. | Conference Paper |
| 2004 | Revealing the connoted visual code
Cavet, R.; Volmer, S.; Leopold, E.; Kindermann, J.; Paaß, G. | Journal Article |
| 2004 | Text classification of news articles with support vector machines
Paaß, G.; Kindermann, J.; Leopold, E. | Conference Paper |
| 2003 | Authorship attribution with support vector machines
Diederich, J.; Kindermann, J.; Leopold, E.; Paaß, G. | Journal Article |
| 2003 | Estimating document similarity using auxiliary category information
Paaß, G.; Kindermann, J.; Leopold, E. | Conference Paper |
| 2003 | Integrated classification of audio, video, and speech using partitions of low-level features
Leopold, E.; Kindermann, J.; Paaß, G.; Vollmer, S.; Cavet, R.; Kastner, T. | Book Article |
| 2003 | Multimedia Discovery and Mining
: Mladenic, D.; Paaß, G. | Book |
| 2003 | Text Classification of news Articles with Supports Vector Machines
Paaß, G. | Conference Paper |
| 2002 | Bayesian Regression Mixture of Experts for Geo-Referenced Data
Paaß, G.; Kindermann, J. | Book Article |
| 2002 | Classification of spoken documents using subword units and weighted string kernels
Kindermann, J.; Leopold, E.; Paaß, G. | Book Article |
| 2002 | Exploring sub-word features and linear support vector machines for german spoken document classification
Larson, M.; Eickeler, S.; Paaß, G.; Leopold, E.; Kindermann, J. | Conference Paper |
| 2002 | SVM Classification Using Sequences of Phonemes and Syllables
Paaß, G.; Leopold, E.; Larson, M.; Kindermann, J.; Eickeler, S. | Conference Paper |
| 2001 | Error correcting codes with optimized kullback-leibler distances for text categorization
Kindermann, J.; Paaß, G.; Leopold, E. | Conference Paper |
| 2000 | Convergence Properties of Incremental Bayesian Evolutionary Algorithms with Single Markov Chains
Zhang, B.-T.; Paaß, G.; Mühlenbein, H. | Conference Paper |
| 2000 | Explaining complex classification models for credit scoring
Paaß, G.; Kindermann, J. | Conference Paper |
| 2000 | Model Switching for Bayesian Classification with Applications to Credit Scoringg
Paaß, G.; Kindermann, J. | Conference Paper |
| 2000 | Multi-class classification with error correcting codes
Kindermann, J.; Leopold, E.; Paaß, G. | Conference Paper |
| 2000 | Multi-class Text Categorization with Error Correcting Codes
Kindermann, J.; Leopold, E.; Paaß, G. | Conference Paper |
| 2000 | Multistep sequential exploration of growing bayesian classification models
Paaß, G.; Kindermann, J. | Conference Paper |
| 2000 | Transparency and Predictive Power: Explaining Complex Classification Models
Paaß, G.; Kindermann, J. | Conference Paper |
| 1999 | Learning and adaptivity for connectionist models and neural networks
: Paaß, G. | Conference Proceedings |
| 1999 | Multistep sequential exploration of bayesian classification models using stochastic gradients
Paaß, G.; Kindermann, J. | Conference Paper |
| 1999 | ShowRisk - Prediction of Credit Risk
Paaß, G. | Journal Article |
| 1999 | Switching between bayesian tree models of varying structure with application to credit scoring
Kindermann, J.; Paaß, G. | Conference Paper |
| 1998 | Bayesian classification trees with overlapping leaves applied to credit-scoring
Paaß, G.; Kindermann, J. | Conference Paper |
| 1998 | Klassifikation mit Populationen von heterogenen Modellen
Paaß, G.; Kindermann, J. | Journal Article |
| 1998 | Model switching for bayesian classification trees with soft splits
Kindermann, J.; Paaß, G. | Conference Paper |
| 1997 | Describing the uncertainy of bayesian predictions by using ensembles of models and its application
Paaß, G.; Kindermann, J. | Conference Paper |
| 1997 | Query sampling for prediction and model selection
Paaß, G. | Journal Article |
| 1996 | From recombination of genes to the estimation of distributions: I. Binery parameters
Mühlenbein, H.; Paaß, G. | Conference Paper |
| 1996 | Konnektionismus und neuronale Netze
: Dorffner, G.; Möller, K.; Paaß, G.; Rojas Gonzales, R.; Vogel, S. | Book |
| 1996 | Künstliche neuronale Netze und statistische Modelle
Paaß, G. | Conference Paper |
| 1996 | Prognosegenauigkeit und Lifelong Learning bei Neuronalen Netzen
Paaß, G. | Conference Paper |
| 1995 | Bayesian query construction for neural network models
Paaß, G.; Kindermann, J. | Conference Paper |
| 1995 | Design von Büroeinrichtungen mit neuronalen Netzen und Markovschen Feldern
Paaß, G. | Book Article |
| 1995 | Estimating blue-green algae counts with neurocomputing techniques
Diederich, J.; Simonetta, D.; Paaß, G. | Conference Paper |
| 1995 | Konnektionismus und Neuronale Netze
: Müller, K.; Paaß, G.; Vogel, S. | Book |
| 1995 | Konstruktive Datenerhebung mit reflektiven neuronalen Netzen
Kindermann, J.; Paaß, G. | Journal Article |
| 1995 | Prognosegenauigkeit und Modellauswahl bei neuronalen Netzen
Paaß, G. | Book Article |
| 1995 | Query construction for neural networks using the bootsrap
Kindermann, J.; Paaß, G.; Weber, F. | Conference Paper |
| 1994 | Assessing predictive accurancy by the bootstrap algorithm
Paaß, G. | Conference Paper |
| 1994 | Bayesian query construction for neural network models
Paaß, G.; Kindermann, J. | Technical Report |
| 1994 | Integration Neuronale und Wissensbasiete Ansätze
Kurfeß, F.; Paaß, G. | Conference Paper |
| 1994 | Konnektionismus und neuronale Netze
: Duwe, I.; Kurfeß, F.; Paaß, G.; Vogel, S. | Conference Proceedings |
| 1994 | Künstliche neuronale Netze
Möller, K.; Paaß, G. | Technical Report |
| 1994 | Künstliche Neuronale Netze als mathematische Strukturen
Paaß, G. | Book Article |
| 1994 | Kunstliche Neuronale Netze: eine Bestandsaufnahme
Müller, K.; Paaß, G. | Journal Article |
| 1994 | Multiple imputation of missing data in a dairy breeding program
Diederich, J.; Finn, G.; Moulder, H.; Paaß, G. | Technical Report |
| 1994 | Probabilistic reasoning
Paaß, G. | Book Article |
| 1994 | Prognosegenauigkeit und Modellauswahl bei Neuronalen Netzen
Paaß, G. | Conference Paper |
| 1993 | Assessing and improving neural network predictions by the bootstrap algorithm
Paaß, G. | Conference Paper |
| 1993 | Bericht von der Konferenz 'Neural Information Processing Systems - Natural and Synthetic' (NIPS) 1992
Linden, A.; Paaß, G. | Journal Article |
| 1993 | Die Korrektur probabilistischer Inferenznetze durch neuronale Netze
Paaß, G. | Conference Paper |
| 1993 | Layout design using neural networks and Markov random fields
Paaß, G. | Conference Paper |
| 1993 | Wissensverarbeitung mit neuronalen Netzen
Paaß, G.; Kurfess, F. | Journal Article |
| 1993 | Wissensverarbeitung mit neuronalen Netzen
: Paaß, G. (Hrsg.); Kurfess, F. (Hrsg.) | Conference Proceedings |
| 1993 | Wissensverarbeitung mit neuronalen Netzen
Paaß, G.; Kurfess, F. | Conference Paper |
| 1992 | Associative synthesis of geometrical scenes
Paaß, G. | Conference Paper |
| 1992 | European Conference on Symbolic and Quantitative Approaches for Uncertainty
Heinsohn, J.; Paaß, G. | Journal Article |
| 1992 | MESA: Maximum entropy by simulated annealing
Paaß, G. | Conference Paper |
| 1992 | Probabilistic and associative reasoning methods
Paaß, G. | Report |
| 1992 | Probabilistic reasoning and probabilistic neural networks
Paaß, G. | Journal Article |
| 1992 | Representations for geometric reasoning with neural networks
Paaß, G. | Book Article |
| 1992 | Representations of multiple objects for associative geometric reasoning
Paaß, G. | Report |
| 1992 | Vervollständigung von Layouts durch assoziative Verfahren
Paaß, G. | Conference Paper |
| 1991 | Integrating probabilistic rules into neural networks. A stochastic EM-learning algorithm
Paaß, G. | Conference Paper |
| 1991 | Probabilistic default reasoning
Paaß, G. | Conference Paper |
| 1991 | Probabilistic default reasoning involving continuous variables
Paaß, G. | Conference Paper |
| 1991 | Quantified uncertainty
Dubois, D.; Garbolino, P.; Kyburg, H.E.; Prade, H.; Smets, P.; Gärdenfors, P.; Paaß, G.; Ruspini, E. | Journal Article |
| 1991 | Second order probabilities for uncertain and conflicting evidence
Paaß, G. | Conference Paper |
| 1990 | Conflicting evidence and probabilistic default reasoning
Paaß, G. | Conference Paper |
| 1990 | Default reasoning, uncertain reasoning, and simulated annealing
Paaß, G. | Report |
| 1990 | Localistic inference networks and distributed associative networks
Paaß, G. | Report |
| 1990 | Merging probabilistic inference with neural association networks
Paaß, G. | Conference Paper |
| 1990 | Probabilistic default reasoning
Paaß, G. | Conference Paper |
| 1990 | Probabilistic reasoning and probabilistic neural networks
Paaß, G. | Conference Paper |
| 1990 | A sample-based approach to probalistic reasoning
Paaß, G. | Conference Paper |
| 1990 | Second order probilities for uncertain and conflicting evidence
Paaß, G. | Conference Paper |
| 1990 | A stochastic EM learning algorithm for structured probabilistic neural networks
Paaß, G. | Conference Paper |
| 1989 | Bayesian integration of uncertain and conflicting evidence
Paaß, G. | Conference Paper |
| 1989 | Stochastic generation of a synthetic sample from maginal information
Paaß, G. | Conference Paper |
| 1989 | Structured probabilistic neural networks
Paaß, G. | Conference Paper |
| 1988 | Disclosure risk and disclosure avoidance for microdata
Paaß, G. | Journal Article |
| 1988 | Probabilistic logic
Paaß, G. | Book Article |
| 1988 | Reply
Paaß, G. | Book Article |
| 1988 | Stochastic generation of a synthetic sample from marginal information
Paaß, G. | Report |
| 1985 | Anonymität und Anonymisierbarkeit statistischer Einzelangaben
Paaß, G. | Book Article |
| 1985 | Datenzugang, Datenschutz und Anonymisierung
Paaß, G.; Wauschkuhn, U. | Book |
| 1984 | Die Anonymität statistischer Einzelangaben
Paaß, G.; Wauschkuhn, U. | Technical Report |
| 1984 | Prognose und Asymptotik Bayesscher Modelle
Paaß, G. | Dissertation |