| 2010 | KDD | Semantic relation extraction with kernels over typed dependency trees. | Frank Reichartz, Hannes Korte, Gerhard Paass |
| 2009 | ACL | Composite Kernels For Relation Extraction. | Frank Reichartz, Hannes Korte, Gerhard Paass |
| 2009 | ILP | A Logic-Based Approach to Relation Extraction from Texts. | Tams Horvth, Gerhard Paass, Frank Reichartz, Stefan Wrobel |
| 2008 | RAID | Anticipating Hidden Text Salting in Emails. | Christina Lioma, Marie-Francine Moens, Juan-Carlos Gomez, Jan De Beer, Andr Bergholz, Gerhard Paass, Patrick Horkan |
| 2000 | CEC | Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains. | Byoung-Tak Zhang, Gerhard Paass, Heinz Mhlenbein |
| 2000 | IJCNN | Multistep Sequential Exploration of Growing Bayesian Classification Models. | Gerhard Paass, Jrg Kindermann |
| 1998 | PAKDD | Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring. | Gerhard Paass, Jrg Kindermann |
| 1996 | PPSN | From Recombination of Genes to the Estimation of Distributions I. Binary Parameters. | Heinz Mhlenbein, Gerhard Paass |
| 1993 | KI | Wissensverarbeitung mit neuronalen Netzen. | Gerhard Paass, Franz J. Kurfess |
| 1992 | UAI | MESA: Maximum Entropy by Simulated Annealing. | Gerhard Paass |
| 1991 | ECSQARU | Probabilistic Default Reasoning Involving Continous Variables. | Gerhard Paass |
| 1991 | UAI | Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm. | Gerhard Paass |
| 1990 | IPMU | Probabilistic Default Reasoning. | Gerhard Paass |
| 1990 | UAI | Second order probabilities for uncertain and conflicting evidence. | Gerhard Paass |
| 1989 | KI | Bayesian Integration of Uncertain and Conflicting Evidence. | Gerhard Paass |