Gerhard Paass

According to our database, Gerhard Paass authored at least 56 papers between 1984 and 2023.

Collaborative distances:

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

2023

Big Data 2.0 - mit synthetischen Daten KI-Systeme stärken.

Dirk Hecker, Angi Voss, Gerhard Paaß, Tim Wirtz

Wirtschaftsinformatik Manag., April, 2023

Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media

Gerhard Paaß, Sven Giesselbach

Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-3-031-23189-6, 2023

Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media.

Gerhard Paaß, Sven Giesselbach

CoRR, 2023

2020

Vertrauenswürdiges, transparentes und robustesMaschinelles Lernen.

Christian Bauckhage, Johannes Fürnkranz, Gerhard Paaß

Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

Tiefe neuronale Netze.

Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß

Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

Grundlagen des Maschinellen Lernens.

Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß, Stefan Rüping

Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2014

Linguistics to Structure Unstructured Information.

Günter Neumann, Gerhard Paaß, David van den Akker

Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014

2012

Machine Learning for Document Structure Recognition.

Gerhard Paaß, Iuliu Vasile Konya

Proceedings of the Modeling, 2012

A knowledge-extraction approach to identify and present verbatim quotes in free text.

Gerhard Paaß, André Bergholz, Anja Pilz

Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies, 2012

Collective Search for Concept Disambiguation.

Anja Pilz, Gerhard Paaß

Proceedings of the COLING 2012, 2012

2011

Future trends in business analytics and optimization.

Donald E. Brown, Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo Baeza-Yates, Cristián Bravo, Gaston L'Huillier, Sebastián Maldonado

Intell. Data Anal., 2011

From names to entities using thematic context distance.

Anja Pilz, Gerhard Paaß

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

New filtering approaches for phishing email.

André Bergholz, Jan De Beer, Sebastian Glahn, Marie-Francine Moens, Gerhard Paaß, Siehyun Strobel

J. Comput. Secur., 2010

Semantic relation extraction with kernels over typed dependency trees.

Frank Reichartz, Hannes Korte, Gerhard Paass

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Named Entity Recognition of Spoken Documents Using Subword Units.

Gerhard Paass, Anja Pilz, Jochen Schwenninger

Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009

Exploiting Semantic Constraints for Estimating Supersenses with CRFs.

Gerhard Paaß, Frank Reichartz

Proceedings of the SIAM International Conference on Data Mining, 2009

Dependency Tree Kernels for Relation Extraction from Natural Language Text.

Frank Reichartz, Hannes Korte, Gerhard Paass

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Named Entity Resolution Using Automatically Extracted Semantic Information.

Anja Pilz, Gerhard Paaß

Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

A Logic-Based Approach to Relation Extraction from Texts.

Tamás Horváth, Gerhard Paass, Frank Reichartz, Stefan Wrobel

Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

Composite Kernels For Relation Extraction.

Frank Reichartz, Hannes Korte, Gerhard Paass

Proceedings of the ACL 2009, 2009

2008

Anticipating Hidden Text Salting in Emails.

Christina Lioma, Marie-Francine Moens, Juan-Carlos Gomez, Jan De Beer, André Bergholz, Gerhard Paass, Patrick Horkan

Proceedings of the Recent Advances in Intrusion Detection, 11th International Symposium, 2008

Detecting Known and New Salting Tricks in Unwanted Emails.

André Bergholz, Gerhard Paass, Frank Reichartz, Siehyun Strobel, Marie-Francine Moens, Brian Witten

Proceedings of the CEAS 2008, 2008

Improved Phishing Detection using Model-Based Features.

André Bergholz, Jeong Ho Chang, Gerhard Paass, Frank Reichartz, Siehyun Strobel

Proceedings of the CEAS 2008, 2008

2007

Analysis of E-Discussions Using Classifier Induced Semantic Spaces.

Edda Leopold, Jörg Kindermann, Gerhard Paaß

LDV Forum, 2007

2005

A Brief Survey of Text Mining.

Andreas Hotho, Andreas Nürnberger, Gerhard Paass

LDV Forum, 2005

Evaluating the Performance of Text Mining Systems on Real-world Press Archives.

Gerhard Paaß, Hugo de Vries

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004

Revealing the connoted visual code: a new approach to video classification.

René Cavet, Stephan Volmer, Edda Leopold, Jörg Kindermann, Gerhard Paaß

Comput. Graph., 2004

Learning Prototype Ontologies by Hierachical Latent Semantic Analysis.

Gerhard Paaß, Jörg Kindermann, Edda Leopold

Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

2003

Bayesian regression mixtures of experts for geo-referenced data.

Gerhard Paass, Jörg Kindermann

Intell. Data Anal., 2003

Authorship Attribution with Support Vector Machines.

Joachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass

Appl. Intell., 2003

2002

SVM Classification Using Sequences of Phonemes and Syllables.

Gerhard Paass, Edda Leopold, Martha A. Larson, Jörg Kindermann, Stefan Eickeler

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Exploring sub-word features and linear support vector machines for German spoken document classification.

Martha A. Larson, Stefan Eickeler, Gerhard Paaß, Edda Leopold, Jörg Kindermann

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

2001

Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization.

Jörg Kindermann, Gerhard Paass, Edda Leopold

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

2000

Transparency and Predicive Power: Explaining Complex Classification Models.

Gerhard Paass, Jörg Kindermann

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Multistep Sequential Exploration of Growing Bayesian Classification Models.

Gerhard Paass, Jörg Kindermann

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains.

Byoung-Tak Zhang, Gerhard Paass, Heinz Mühlenbein

Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1998

Klassifikation mit Populationen von heterogenen Modellen.

Gerhard Paass, Jörg Kindermann

Künstliche Intell., 1998

Model Switching for Bayesian Classification Trees with Soft Splits.

Jörg Kindermann, Gerhard Paass

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring.

Gerhard Paass, Jörg Kindermann

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

1996

From Recombination of Genes to the Estimation of Distributions I. Binary Parameters.

Heinz Mühlenbein, Gerhard Paass

Proceedings of the Parallel Problem Solving from Nature, 1996

1995

Estimating Blue-Green Algae Counts with Neurocomputing Techniques.

Joachim Diederich, Don Simonetta, Gerhard Paass

Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

1994

Künstliche Neuronale Netze: eine Bestandsaufnahme.

Knut Möller, Gerhard Paass

Künstliche Intell., 1994

Bayesian Query Construction for Neural Network Models.

Gerhard Paass, Jörg Kindermann

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Bericht von der Konferenz "Neural Information Processing Szstems - Natural and Synthetic" (NIPS) 1992.

Alexander Linden, Gerhard Paass

Künstliche Intell., 1993

Wissensverarbeitung mit neuronalen Netzen.

Gerhard Paass, Franz J. Kurfess

Proceedings of the Grundlagen und Anwendungen der Künstlichen Intelligenz, 1993

1992

European Conference on Symbolic and Quantitative Approaches for Uncertainty.

Jochen Heinsohn, Gerhard Paass

Künstliche Intell., 1992

MESA: Maximum Entropy by Simulated Annealing.

Gerhard Paass

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm.

Gerhard Paass

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991

Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm.

Gerhard Paass

Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Probabilistic Default Reasoning Involving Continous Variables.

Gerhard Paass

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991

1990

Second order probabilities for uncertain and conflicting evidence.

Gerhard Paass

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

A Stochastic EM Learning Algorithm for Structured Probabilistic Neural Networks.

Gerhard Paass

Proceedings of the Konnektionismus in Artificial Intelligence und Kognitionsforschung. Proceedings 6. Österreichische Artificial Intelligence-Tagung (KONNAI), 1990

Probabilistic Default Reasoning.

Gerhard Paass

Proceedings of the Uncertainty in Knowledge Bases, 1990

1989

Bayesian Integration of Uncertain and Conflicting Evidence.

Gerhard Paass

Proceedings of the GWAI-89, 1989

1985

Anonymität von Individualdaten in statistischen Datenbanken.

Gerhard Paass

Proceedings of the Datenschutz und Datensicherung im Wandel der Informationstechnologien, 1985

1984

Prognose und Asymptotik Bayesscher Modelle: e. Methode zur Evaluation d. Genauigkeit ökonometr. Prognosen.

Gerhard Paaß

PhD thesis, 1984