Gerhard Paass - RankMe

38 papers A* 1A 5B 3C 3Misc 1Journal 9Unranked 15

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm CoRR Gerhard Paass
2011	J	`jnl`	Future trends in business analytics and optimization. Intell. Data Anal. 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
2010	A*	`conf`	Semantic relation extraction with kernels over typed dependency trees. KDD Frank Reichartz, Hannes Korte, Gerhard Paass
2009	B	`conf`	A Logic-Based Approach to Relation Extraction from Texts. ILP Tamás Horváth, Gerhard Paass, Frank Reichartz, Stefan Wrobel
2009	—	`conf`	Composite Kernels For Relation Extraction. ACL/IJCNLP (2) Frank Reichartz, Hannes Korte, Gerhard Paass
2009	—	`conf`	Dependency Tree Kernels for Relation Extraction from Natural Language Text. ECML/PKDD (2) Frank Reichartz, Hannes Korte, Gerhard Paass
2009	—	`conf`	Named Entity Recognition of Spoken Documents Using Subword Units. ICSC Gerhard Paass, Anja Pilz, Jochen Schwenninger
2009	—	`ed.`	Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics, Paris, France, June 28, 2009 KDD Workshop on CyberSecurity and Intelligence Informatics Hsinchun Chen, Marc Dacier, Marie-Francine Moens, Gerhard Paass, Christopher C. Yang
2008	A	`conf`	Anticipating Hidden Text Salting in Emails. RAID Christina Lioma, Marie-Francine Moens, Juan-Carlos Gomez, Jan De Beer, André Bergholz, Gerhard Paass, Patrick Horkan
2008	—	`conf`	Detecting Known and New Salting Tricks in Unwanted Emails. CEAS André Bergholz, Gerhard Paass, Frank Reichartz, Siehyun Strobel, Marie-Francine Moens, Brian Witten
2008	—	`conf`	Improved Phishing Detection using Model-Based Features. CEAS André Bergholz, Jeong Ho Chang, Gerhard Paass, Frank Reichartz, Siehyun Strobel
2005	J	`jnl`	A Brief Survey of Text Mining. LDV Forum Andreas Hotho, Andreas Nürnberger, Gerhard Paass
2003	J	`jnl`	Authorship Attribution with Support Vector Machines. Appl. Intell. Joachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass
2003	J	`jnl`	Bayesian regression mixtures of experts for geo-referenced data. Intell. Data Anal. Gerhard Paass, Jörg Kindermann
2002	—	`conf`	SVM Classification Using Sequences of Phonemes and Syllables. PKDD Gerhard Paass, Edda Leopold, Martha A. Larson, Jörg Kindermann, Stefan Eickeler
2001	—	`conf`	Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization. PKDD Jörg Kindermann, Gerhard Paass, Edda Leopold
2000	B	`conf`	Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains. CEC Byoung-Tak Zhang, Gerhard Paass, Heinz Mühlenbein
2000	—	`conf`	Multistep Sequential Exploration of Growing Bayesian Classification Models. IJCNN (3) Gerhard Paass, Jörg Kindermann
2000	—	`conf`	Transparency and Predicive Power: Explaining Complex Classification Models. PKDD Gerhard Paass, Jörg Kindermann
1998	B	`conf`	Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring. PAKDD Gerhard Paass, Jörg Kindermann
1998	J	`jnl`	Klassifikation mit Populationen von heterogenen Modellen. Künstliche Intell. Gerhard Paass, Jörg Kindermann
1998	—	`conf`	Model Switching for Bayesian Classification Trees with Soft Splits. PKDD Jörg Kindermann, Gerhard Paass
1996	A	`conf`	From Recombination of Genes to the Estimation of Distributions I. Binary Parameters. PPSN Heinz Mühlenbein, Gerhard Paass
1995	C	`conf`	Estimating Blue-Green Algae Counts with Neurocomputing Techniques. IEA/AIE Joachim Diederich, Don Simonetta, Gerhard Paass
1994	—	`conf`	Bayesian Query Construction for Neural Network Models. NIPS Gerhard Paass, Jörg Kindermann
1994	J	`jnl`	Künstliche Neuronale Netze: eine Bestandsaufnahme. Künstliche Intell. Knut Möller, Gerhard Paass
1993	J	`jnl`	Bericht von der Konferenz "Neural Information Processing Szstems - Natural and Synthetic" (NIPS) 1992. Künstliche Intell. Alexander Linden, Gerhard Paass
1993	Misc	`conf`	Wissensverarbeitung mit neuronalen Netzen. KI Gerhard Paass, Franz J. Kurfess
1992	—	`conf`	Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm. NIPS Gerhard Paass
1992	J	`jnl`	European Conference on Symbolic and Quantitative Approaches for Uncertainty. Künstliche Intell. Jochen Heinsohn, Gerhard Paass
1992	A	`conf`	MESA: Maximum Entropy by Simulated Annealing. UAI Gerhard Paass
1991	A	`conf`	Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm. UAI Gerhard Paass
1991	C	`conf`	Probabilistic Default Reasoning Involving Continous Variables. ECSQARU Gerhard Paass
1990	—	`conf`	A Stochastic EM Learning Algorithm for Structured Probabilistic Neural Networks. ÖGAI Gerhard Paass
1990	C	`conf`	Probabilistic Default Reasoning. IPMU Gerhard Paass
1990	A	`conf`	Second order probabilities for uncertain and conflicting evidence. UAI Gerhard Paass
1989	—	`conf`	Bayesian Integration of Uncertain and Conflicting Evidence. GWAI Gerhard Paass
1985	—	`conf`	Anonymität von Individualdaten in statistischen Datenbanken. Datenschutz und Datensicherung Gerhard Paass