Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2015Cerebral blood flow reactivity in patients undergoing selective amygdalohippocampectomy for epilepsy of mesial temporal origin. A prospective randomized comparison of the trans-Sylvian and the transcortical approach
Schatlo, B.; Jägersberg, M.; Paass, G.; Faltermeier, R.; Streich, J.; Meyer, B.; Schaller, K.
Journal Article
2014Linguistics to structure unstructured information
Neumann, G.; Paaß, G.; Akker, D. van den
Book Article
2012Big [Data] Picture im Wissensmanagement
Hoffmann, Jörg; Paaß, Gerhard; Knapp, Melanie
Conference Paper
2012Collective search for concept disambiguation
Pilz, A.; Paass, G.
Conference Paper
2012A knowledge-extraction approach to identify and present verbatim quotes in free text
Paaß, Gerhard; Bergholz, Andre; Pilz, Anja
Conference Paper
2012Mit "Smart Semantics" mehr aus unstrukturierten Daten machen
Schäfer, Andreas; Paaß, Gerhard
Book Article
2012Studie 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
2011From names to entities using thematic context distance
Pilz, Anja; Paaß, Gerhard
Conference Paper
2011Future 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
2011Machine learning for document structure recognition
Paaß, Gerhard; Konya, Iuliu
Book Article
2010A logic-based approach to relation extraction from texts
Horváth, T.; Paaß, G.; Reichartz, F.; Wrobel, S.
Conference Paper
2010New filtering approaches for phishing email
Bergholz, A.; Beer, J. de; Glahn, S.; Moens, M.-F.; Paaß, G.; Strobel, S.
Journal Article
2010A real-life study in phishing detection
Bergholz, A.; Paaß, G.; D'Addona, L.; Dato, D.
Presentation
2010Semantic relation extraction with kernels over typed dependency trees
Reichartz, F.; Korte, H.; Paaß, G.
Conference Paper
2010Wie aus Texten und dem Internet Wissen destilliert wird
Paaß, G.
Journal Article
2009Composite kernels for relation extraction
Reichartz, F.; Korte, H.; Paaß, G.
Conference Paper
2009Dependency tree kernels for relation extraction from natural language text
Reichartz, F.; Korte, H.; Paass, G.
Conference Paper
2009Entity resolution by kernel methods
Pilz, A.; Molzberger, L.; Paaß, G.
Conference Paper
2009Exploiting semantic constraints for estimating supersenses with CRFs
Paaß, G.; Reichartz, F.
Conference Paper
2009Information and knowledge management
Paaß, G.; Schneider, D.; Wrobel, S.
Book Article
2009Named entity recognition of spoken documents using subword units
Paaß, G.; Pilz, A.; Schwenninger, J.
Conference Paper
2009Named entity resolution using automatically extracted semantic information
Pilz, A.; Paaß, G.
Conference Paper
2009Proceedings 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
2009Proceedings 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
2009Text mining and multimedia search in a large content repository
Paaß, G.; Eickeler, S.; Wrobel, S.
Conference Paper
2008Anticipating hidden text salting in Emails
Lioma, C.; Moens, M.-F.; Gomez, J.-C.; Beer, J. de; Bergholz, A.; Paaß, G.; Horkan, P.
Conference Paper
2008Data mining for security and crime detection
Paaß, G.; Reinhardt, W.; Rüping, S.; Wrobel, S.
Conference Paper
2008Entity and relation extraction in texts with semi-supervised extensions
Paaß, G.; Kindermann, J.
Conference Paper
2007Analysis of e-discussions using classifier induced semantic spaces
Leopold, E.; Kindermann, J.; Paaß, G.
Journal Article
2006Evaluating the performance of text mining systems on real-world press archives
Paaß, G.; Vries, H. de
Conference Paper
2005A brief survey of text mining
Hotho, A.; Nürnberger, A.; Paaß, G.
Journal Article
2005Investigating word correlation at different scopes
Heinrich, G.; Kindermann, J.; Lauth, C.; Paaß, G.; Monzon, J.S.
Conference Paper
2005Konzept zur Evaluation von Textminingverfahren
Paaß, G.
Journal Article
2005Learning and extending lexical ontologies by using machine learning methods
: Biemann, C.; Paaß, G.
Conference Proceedings
2004Data mining and text mining for science & technology
Leopold, E.; May, M.; Paaß, G.
Book Article
2004ECML/PKDD 2004 Workshop on Knowledge Discovery and Ontologies
: Buitelaar, P.; Franke, J.; Grobelnik, M.; Paaß, G.; Svátek, V.
Conference Proceedings
2004Enhancing Socioeconomic Surveys by data about Internet Usage
Alluja, T.; Paaß, G.; Prat, A.; Schwab, I.
Conference Paper
2004Learning prototype ontologies by hierachical latent semantic analysis
Paaß, G.; Kindermann, J.; Leopold, E.
Conference Paper
2004Learning Prototype Ontologies by Hierachical Latent Semantic Analysis
Paaß, G.; Kindermann, J.; Leopold, E.
Conference Paper
2004Revealing the connoted visual code
Cavet, R.; Volmer, S.; Leopold, E.; Kindermann, J.; Paaß, G.
Journal Article
2004Text classification of news articles with support vector machines
Paaß, G.; Kindermann, J.; Leopold, E.
Conference Paper
2003Authorship attribution with support vector machines
Diederich, J.; Kindermann, J.; Leopold, E.; Paaß, G.
Journal Article
2003Estimating document similarity using auxiliary category information
Paaß, G.; Kindermann, J.; Leopold, E.
Conference Paper
2003Integrated 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
2003Multimedia Discovery and Mining
: Mladenic, D.; Paaß, G.
Book
2003Text Classification of news Articles with Supports Vector Machines
Paaß, G.
Conference Paper
2002Bayesian Regression Mixture of Experts for Geo-Referenced Data
Paaß, G.; Kindermann, J.
Book Article
2002Classification of spoken documents using subword units and weighted string kernels
Kindermann, J.; Leopold, E.; Paaß, G.
Book Article
2002Exploring 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
2002SVM Classification Using Sequences of Phonemes and Syllables
Paaß, G.; Leopold, E.; Larson, M.; Kindermann, J.; Eickeler, S.
Conference Paper
2001Error correcting codes with optimized kullback-leibler distances for text categorization
Kindermann, J.; Paaß, G.; Leopold, E.
Conference Paper
2000Convergence Properties of Incremental Bayesian Evolutionary Algorithms with Single Markov Chains
Zhang, B.-T.; Paaß, G.; Mühlenbein, H.
Conference Paper
2000Explaining complex classification models for credit scoring
Paaß, G.; Kindermann, J.
Conference Paper
2000Model Switching for Bayesian Classification with Applications to Credit Scoringg
Paaß, G.; Kindermann, J.
Conference Paper
2000Multi-class classification with error correcting codes
Kindermann, J.; Leopold, E.; Paaß, G.
Conference Paper
2000Multi-class Text Categorization with Error Correcting Codes
Kindermann, J.; Leopold, E.; Paaß, G.
Conference Paper
2000Multistep sequential exploration of growing bayesian classification models
Paaß, G.; Kindermann, J.
Conference Paper
2000Transparency and Predictive Power: Explaining Complex Classification Models
Paaß, G.; Kindermann, J.
Conference Paper
1999Learning and adaptivity for connectionist models and neural networks
: Paaß, G.
Conference Proceedings
1999Multistep sequential exploration of bayesian classification models using stochastic gradients
Paaß, G.; Kindermann, J.
Conference Paper
1999ShowRisk - Prediction of Credit Risk
Paaß, G.
Journal Article
1999Switching between bayesian tree models of varying structure with application to credit scoring
Kindermann, J.; Paaß, G.
Conference Paper
1998Bayesian classification trees with overlapping leaves applied to credit-scoring
Paaß, G.; Kindermann, J.
Conference Paper
1998Klassifikation mit Populationen von heterogenen Modellen
Paaß, G.; Kindermann, J.
Journal Article
1998Model switching for bayesian classification trees with soft splits
Kindermann, J.; Paaß, G.
Conference Paper
1997Describing the uncertainy of bayesian predictions by using ensembles of models and its application
Paaß, G.; Kindermann, J.
Conference Paper
1997Query sampling for prediction and model selection
Paaß, G.
Journal Article
1996From recombination of genes to the estimation of distributions: I. Binery parameters
Mühlenbein, H.; Paaß, G.
Conference Paper
1996Konnektionismus und neuronale Netze
: Dorffner, G.; Möller, K.; Paaß, G.; Rojas Gonzales, R.; Vogel, S.
Book
1996Künstliche neuronale Netze und statistische Modelle
Paaß, G.
Conference Paper
1996Prognosegenauigkeit und Lifelong Learning bei Neuronalen Netzen
Paaß, G.
Conference Paper
1995Bayesian query construction for neural network models
Paaß, G.; Kindermann, J.
Conference Paper
1995Design von Büroeinrichtungen mit neuronalen Netzen und Markovschen Feldern
Paaß, G.
Book Article
1995Estimating blue-green algae counts with neurocomputing techniques
Diederich, J.; Simonetta, D.; Paaß, G.
Conference Paper
1995Konnektionismus und Neuronale Netze
: Müller, K.; Paaß, G.; Vogel, S.
Book
1995Konstruktive Datenerhebung mit reflektiven neuronalen Netzen
Kindermann, J.; Paaß, G.
Journal Article
1995Prognosegenauigkeit und Modellauswahl bei neuronalen Netzen
Paaß, G.
Book Article
1995Query construction for neural networks using the bootsrap
Kindermann, J.; Paaß, G.; Weber, F.
Conference Paper
1994Assessing predictive accurancy by the bootstrap algorithm
Paaß, G.
Conference Paper
1994Bayesian query construction for neural network models
Paaß, G.; Kindermann, J.
Report
1994Integration Neuronale und Wissensbasiete Ansätze
Kurfeß, F.; Paaß, G.
Conference Paper
1994Konnektionismus und neuronale Netze
: Duwe, I.; Kurfeß, F.; Paaß, G.; Vogel, S.
Conference Proceedings
1994Künstliche neuronale Netze
Möller, K.; Paaß, G.
Report
1994Künstliche Neuronale Netze als mathematische Strukturen
Paaß, G.
Book Article
1994Kunstliche Neuronale Netze: eine Bestandsaufnahme
Müller, K.; Paaß, G.
Journal Article
1994Multiple imputation of missing data in a dairy breeding program
Diederich, J.; Finn, G.; Moulder, H.; Paaß, G.
Report
1994Probabilistic reasoning
Paaß, G.
Book Article
1994Prognosegenauigkeit und Modellauswahl bei Neuronalen Netzen
Paaß, G.
Conference Paper
1993Assessing and improving neural network predictions by the bootstrap algorithm
Paaß, G.
Conference Paper
1993Bericht von der Konferenz 'Neural Information Processing Systems - Natural and Synthetic' (NIPS) 1992
Linden, A.; Paaß, G.
Journal Article
1993Die Korrektur probabilistischer Inferenznetze durch neuronale Netze
Paaß, G.
Conference Paper
1993Layout design using neural networks and Markov random fields
Paaß, G.
Conference Paper
1993Wissensverarbeitung mit neuronalen Netzen
Paaß, G.; Kurfess, F.
Journal Article
1993Wissensverarbeitung mit neuronalen Netzen
: Paaß, G. (Hrsg.); Kurfess, F. (Hrsg.)
Conference Proceedings
1993Wissensverarbeitung mit neuronalen Netzen
Paaß, G.; Kurfess, F.
Conference Paper
1992Associative synthesis of geometrical scenes
Paaß, G.
Conference Paper
1992European Conference on Symbolic and Quantitative Approaches for Uncertainty
Heinsohn, J.; Paaß, G.
Journal Article
1992MESA: Maximum entropy by simulated annealing
Paaß, G.
Conference Paper
1992Probabilistic and associative reasoning methods
Paaß, G.
Report
1992Probabilistic reasoning and probabilistic neural networks
Paaß, G.
Journal Article
1992Representations for geometric reasoning with neural networks
Paaß, G.
Book Article
1992Representations of multiple objects for associative geometric reasoning
Paaß, G.
Report
1992Vervollständigung von Layouts durch assoziative Verfahren
Paaß, G.
Conference Paper
1991Integrating probabilistic rules into neural networks. A stochastic EM-learning algorithm
Paaß, G.
Conference Paper
1991Probabilistic default reasoning
Paaß, G.
Conference Paper
1991Probabilistic default reasoning involving continuous variables
Paaß, G.
Conference Paper
1991Quantified uncertainty
Dubois, D.; Garbolino, P.; Kyburg, H.E.; Prade, H.; Smets, P.; Gärdenfors, P.; Paaß, G.; Ruspini, E.
Journal Article
1991Second order probabilities for uncertain and conflicting evidence
Paaß, G.
Conference Paper
1990Conflicting evidence and probabilistic default reasoning
Paaß, G.
Conference Paper
1990Default reasoning, uncertain reasoning, and simulated annealing
Paaß, G.
Report
1990Localistic inference networks and distributed associative networks
Paaß, G.
Report
1990Merging probabilistic inference with neural association networks
Paaß, G.
Conference Paper
1990Probabilistic default reasoning
Paaß, G.
Conference Paper
1990Probabilistic reasoning and probabilistic neural networks
Paaß, G.
Conference Paper
1990A sample-based approach to probalistic reasoning
Paaß, G.
Conference Paper
1990Second order probilities for uncertain and conflicting evidence
Paaß, G.
Conference Paper
1990A stochastic EM learning algorithm for structured probabilistic neural networks
Paaß, G.
Conference Paper
1989Bayesian integration of uncertain and conflicting evidence
Paaß, G.
Conference Paper
1989Stochastic generation of a synthetic sample from maginal information
Paaß, G.
Conference Paper
1989Structured probabilistic neural networks
Paaß, G.
Conference Paper
1988Disclosure risk and disclosure avoidance for microdata
Paaß, G.
Journal Article
1988Probabilistic logic
Paaß, G.
Book Article
1988Reply
Paaß, G.
Book Article
1988Stochastic generation of a synthetic sample from marginal information
Paaß, G.
Report
1985Anonymität und Anonymisierbarkeit statistischer Einzelangaben
Paaß, G.
Book Article
1985Datenzugang, Datenschutz und Anonymisierung
Paaß, G.; Wauschkuhn, U.
Book
1984Die Anonymität statistischer Einzelangaben
Paaß, G.; Wauschkuhn, U.
Report
1984Prognose und Asymptotik Bayesscher Modelle
Paaß, G.
Dissertation