Gerhard Paass

Gerhard Paaß

	2009
36		Hsinchun Chen, Marc Dacier, Marie-Francine Moens, Gerhard Paass, Christopher C. Yang: Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics, Paris, France, June 28, 2009 ACM 2009
35		Frank Reichartz, Hannes Korte, Gerhard Paass: Dependency Tree Kernels for Relation Extraction from Natural Language Text. ECML/PKDD (2) 2009: 270-285
34		Gerhard Paass, Anja Pilz, Jochen Schwenninger: Named Entity Recognition of Spoken Documents Using Subword Units. ICSC 2009: 529-534
33		Gerhard Paaß, Frank Reichartz: Exploiting Semantic Constraints for Estimating Supersenses with CRFs. SDM 2009: 485-496
	2008
32		André Bergholz, Gerhard Paass, Frank Reichartz, Siehyun Strobel, Marie-Francine Moens, Brian Witten: Detecting Known and New Salting Tricks in Unwanted Emails. CEAS 2008
31		André Bergholz, Jeong Ho Chang, Gerhard Paass, Frank Reichartz, Siehyun Strobel: Improved Phishing Detection using Model-Based Features. CEAS 2008
30		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
29		Gerhard Paaß, Hugo de Vries: Evaluating the Performance of Text Mining Systems on Real-world Press Archives. GfKl 2005: 414-421
28		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		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		Gerhard Paass, Jörg Kindermann: Bayesian regression mixtures of experts for geo-referenced data. Intell. Data Anal. 7(6): 567-582 (2003)
	2002
23		Gerhard Paass, Edda Leopold, Martha Larson, Jörg Kindermann, Stefan Eickeler: SVM Classification Using Sequences of Phonemes and Syllables. PKDD 2002: 373-384
	2001
22		Jörg Kindermann, Gerhard Paass, Edda Leopold: Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization. PKDD 2001: 266-276
	2000
21		Gerhard Paass, Jörg Kindermann: Multistep Sequential Exploration of Growing Bayesian Classification Models. IJCNN (3) 2000: 566-574
20		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		Joachim Diederich, Don Simonetta, Gerhard Paass: Estimating Blue-Green Algae Counts with Neurocomputing Techniques. IEA/AIE 1995: 127-131
	1994
14		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		Gerhard Paass: Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm. NIPS 1992: 196-203
9		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		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		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

Coauthor Index

1	Jan De Beer	[30]
2	André Bergholz	[30] [31] [32]
3	René Cavet	[26]
4	Jeong Ho Chang	[31]
5	Hsinchun Chen	[36]
6	Marc Dacier	[36]
7	Joachim Diederich	[15] [25]
8	Stefan Eickeler	[23]
9	Juan-Carlos Gomez	[30]
10	Jochen Heinsohn	[8]
11	Patrick Horkan	[30]
12	Andreas Hotho	[28]
13	Jörg Kindermann	[14] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27]
14	Hannes Korte	[35]
15	Franz J. Kurfess	[12]
16	Martha Larson	[23]
17	Edda Leopold	[22] [23] [25] [26] [27]
18	Alexander Linden	[11]
19	Christina Lioma	[30]
20	Marie-Francine Moens	[30] [32] [36]
21	Knut Möller	[13]
22	Heinz Mühlenbein	[16]
23	Andreas Nürnberger	[28]
24	Anja Pilz	[34]
25	Frank Reichartz	[31] [32] [33] [35]
26	Jochen Schwenninger	[34]
27	Don Simonetta	[15]
28	Siehyun Strobel	[31] [32]
29	Stephan Volmer	[26]
30	Hugo de Vries	[29]
31	Brian Witten	[32]
32	Christopher C. Yang	[36]

Colors in the list of coauthors