G. Paass

Gerhard Paass, Jörg Kindermann, J. Kindermann, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Data Mining and Text Mining for Science & Technology Research

Michael May, Edda Leopold, Gerhard Paaß, 2004 .

Composite Kernels For Relation Extraction

Gerhard Paass, Frank Reichartz, Hannes Korte, 2009, ACL.

Bayesian regression mixtures of experts for geo-referenced data

Gerhard Paass, Jörg Kindermann, J. Kindermann, 2003, Intell. Data Anal..

Transparency and Predictive Power

Gerhard Paass, Jörg Kindermann, J. Kindermann, 2000 .

A Brief Survey of Text Mining

Andreas Hotho, Andreas Nürnberger, Gerhard Paass, 2005, LDV Forum.

Model Switching for Bayesian Classification Trees with Soft Splits

Gerhard Paass, Jörg Kindermann, J. Kindermann, 1998, PKDD.

Associative synthesis of geometrical scenes

Gerhard Paass, G. Paass, 1992, Optics & Photonics.

Machine Learning for Document Structure Recognition

Gerhard Paass, Iuliu Vasile Konya, G. Paass, 2012, Modeling, Learning, and Processing of Text Technological Data Structures.

MESA: Maximum Entropy by Simulated Annealing pdf

Gerhard Paass, G. Paass, 1992, UAI.

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

Gerhard Paass, G. Paass, 1991, UAI.

A Stochastic EM Learning Algorithm for Structured Probabilistic Neural Networks

Gerhard Paass, G. Paass, 1990, ÖGAI.

Structured Probabilistic Neural Networks

G. Paass, 1989 .

Analysis of E-Discussions Using Classifier Induced Semantic Spaces

Gerhard Paass, Jörg Kindermann, Edda Leopold, 2007, LDV Forum.

Future trends in business analytics and optimization

Donald E. Brown, Ricardo Baeza-Yates, Richard Weber, 2011, Intell. Data Anal..

New filtering approaches for phishing email

Marie-Francine Moens, Gerhard Paass, Jan De Beer, 2010, J. Comput. Secur..

Anticipating Hidden Text Salting in Emails

Marie-Francine Moens, Christina Lioma, Gerhard Paass, 2008, RAID.

Consistency Results For Bayesian Estimators Of Multivariate ARMA Processes

G. Paass, 1982 .

Cerebral 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

G. Paass, K. Schaller, B. Schatlo, 2015, Neurological research.

Semantic relation extraction with kernels over typed dependency trees

Gerhard Paass, Frank Reichartz, Hannes Korte, 2010, KDD.

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

G. Paass, Sven Giesselbach, 2023, Artificial Intelligence: Foundations, Theory, and Algorithms.

Named Entity Recognition of Spoken Documents Using Subword Units

Gerhard Paass, Jochen Schwenninger, Anja Pilz, 2009, 2009 IEEE International Conference on Semantic Computing.

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

Jörg Kindermann, Stephan Volmer, Gerhard Paaß, 2004, Comput. Graph..

Learning and Extending Lexical Ontologies by using Machine Learning Methods

Hans Friedrich Witschel, Ioannis P. Klapaftis, Gregor Heinrich, 2005 .

A Brief Survey of Text Mining

G. Paass, A. Hotho, A. Nürnberger, 2005, Journal for Language Technology and Computational Linguistics.

Exploiting Semantic Constraints for Estimating Supersenses with CRFs

Gerhard Paass, Frank Reichartz, G. Paass, 2009, SDM.

From names to entities using thematic context distance

Gerhard Paass, Anja Pilz, G. Paass, 2011, CIKM '11.

Π-Avida - A Personalized Interactive Audio and Video Portal

Martha Larson, Gerhard Paass, Stefan Eickeler, 2003 .