2008 |
29 | EE | Christina Lioma,
Marie-Francine Moens,
Juan-Carlos Gomez,
Jan De Beer,
André Bergholz,
Gerhard Paass,
Patrick Horkan:
Anticipating Hidden Text Salting in Emails.
RAID 2008: 396-397 |
2005 |
28 | EE | Andreas Hotho,
Andreas Nürnberger,
Gerhard Paass:
A Brief Survey of Text Mining.
LDV Forum 20(1): 19-62 (2005) |
2004 |
27 | | Gerhard Paaß,
Jörg Kindermann,
Edda Leopold:
Learning Prototype Ontologies by Hierachical Latent Semantic Analysis.
LWA 2004: 193-205 |
26 | EE | René Cavet,
Stephan Volmer,
Edda Leopold,
Jörg Kindermann,
Gerhard Paaß:
Revealing the connoted visual code: a new approach to video classification.
Computers & Graphics 28(3): 361-369 (2004) |
2003 |
25 | | Joachim Diederich,
Jörg Kindermann,
Edda Leopold,
Gerhard Paass:
Authorship Attribution with Support Vector Machines.
Appl. Intell. 19(1-2): 109-123 (2003) |
24 | EE | Gerhard Paass,
Jörg Kindermann:
Bayesian regression mixtures of experts for geo-referenced data.
Intell. Data Anal. 7(6): 567-582 (2003) |
2002 |
23 | EE | Gerhard Paass,
Edda Leopold,
Martha Larson,
Jörg Kindermann,
Stefan Eickeler:
SVM Classification Using Sequences of Phonemes and Syllables.
PKDD 2002: 373-384 |
2001 |
22 | EE | Jörg Kindermann,
Gerhard Paass,
Edda Leopold:
Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization.
PKDD 2001: 266-276 |
2000 |
21 | EE | Gerhard Paass,
Jörg Kindermann:
Multistep Sequential Exploration of Growing Bayesian Classification Models.
IJCNN (3) 2000: 566-574 |
20 | EE | Gerhard Paass,
Jörg Kindermann:
Transparency and Predicive Power: Explaining Complex Classification Models.
PKDD 2000: 558-565 |
1998 |
19 | | Gerhard Paass,
Jörg Kindermann:
Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring.
PAKDD 1998: 234-245 |
18 | | Jörg Kindermann,
Gerhard Paass:
Model Switching for Bayesian Classification Trees with Soft Splits.
PKDD 1998: 148-157 |
17 | | Gerhard Paass,
Jörg Kindermann:
Klassifikation mit Populationen von heterogenen Modellen.
KI 12(2): 56-65 (1998) |
1996 |
16 | | Heinz Mühlenbein,
Gerhard Paass:
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters.
PPSN 1996: 178-187 |
1995 |
15 | EE | Joachim Diederich,
Don Simonetta,
Gerhard Paass:
Estimating Blue-Green Algae Counts with Neurocomputing Techniques.
IEA/AIE 1995: 127-131 |
1994 |
14 | EE | Gerhard Paass,
Jörg Kindermann:
Bayesian Query Construction for Neural Network Models.
NIPS 1994: 443-450 |
13 | | Knut Möller,
Gerhard Paass:
Künstliche Neuronale Netze: eine Bestandsaufnahme.
KI 8(4): 37-61 (1994) |
1993 |
12 | | Gerhard Paass,
Franz J. Kurfess:
Wissensverarbeitung mit neuronalen Netzen.
KI 1993: 217-225 |
11 | | Alexander Linden,
Gerhard Paass:
Bericht von der Konferenz ``Neural Information Processing Szstems - Natural and Synthetic'' (NIPS) 1992.
KI 7(3): 26-29 (1993) |
1992 |
10 | EE | Gerhard Paass:
Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm.
NIPS 1992: 196-203 |
9 | EE | Gerhard Paass:
MESA: Maximum Entropy by Simulated Annealing.
UAI 1992: 230-237 |
8 | | Jochen Heinsohn,
Gerhard Paass:
European Conference on Symbolic and Quantitative Approaches for Uncertainty.
KI 6(2): 42 (1992) |
1991 |
7 | | Gerhard Paass:
Probabilistic Default Reasoning Involving Continous Variables.
ECSQARU 1991: 267-271 |
6 | EE | Gerhard Paass:
Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm.
UAI 1991: 264-270 |
1990 |
5 | | Gerhard Paass:
A Stochastic EM Learning Algorithm for Structured Probabilistic Neural Networks.
ÖGAI 1990: 196-201 |
4 | | Gerhard Paass:
Probabilistic Default Reasoning.
IPMU 1990: 76-85 |
3 | EE | Gerhard Paass:
Second order probabilities for uncertain and conflicting evidence.
UAI 1990: 447-456 |
1989 |
2 | | Gerhard Paass:
Bayesian Integration of Uncertain and Conflicting Evidence.
GWAI 1989: 421-427 |
1985 |
1 | | Gerhard Paass:
Anonymität von Individualdaten in statistischen Datenbanken.
Datenschutz und Datensicherung 1985: 156-170 |