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Jörg Kindermann
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2020 – today
- 2021
- [c15]Marc-Alexander Lutz, Katharina Beckh, Jörg Kindermann, Juliane Schneider, Julia Walgern, Sebastian Pfaffel, Stefan Faulstich, Alisa Staack:
Digitalisierungsworkflow zur Strukturierung und Standardisierung von Instandhaltungsinformationen von Windenergieanlagen. GI-Jahrestagung 2021: 229-249 - 2020
- [j11]Siming Chen, Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Jérémie Barlet, Jörg Kindermann, Phong H. Nguyen, Olivier Thonnard, Cagatay Turkay:
LDA Ensembles for Interactive Exploration and Categorization of Behaviors. IEEE Trans. Vis. Comput. Graph. 26(9): 2775-2792 (2020) - [c14]Jörg Kindermann, Katharina Beckh:
Fusing Multi-label Classification and Semantic Tagging. LWDA 2020: 88-99
2010 – 2019
- 2011
- [c13]Noury Khayat, Michael Mock, Jörg Kindermann:
Towards Automatic Behavior Analysis of Learners in a Technology-enhanced Learning Environment. CSEDU (1) 2011: 187-192 - 2010
- [j10]Ton de Jong, Wouter R. van Joolingen, Adam Giemza, Isabelle Girault, Ulrich Hoppe, Jörg Kindermann, Anders Kluge, Ard W. Lazonder, Vibeke Vold, Armin Weinberger, Stefan Weinbrenner, Astrid Wichmann, Anjo Anjewierden, Marjolaine Bodin, Lars Bollen, Cédric D'Ham, Jan Dolonen, Jan Engler, Caspar Geraedts, Henrik Grosskreutz, Tasos Hovardas, Rachel Julien, Judith Lechner, Sten R. Ludvigsen, Yuri Matteman, Øyvind Meistadt, Bjørge Næss, Muriel Ney, Margus Pedaste, Anthony Perritano, Marieke Rinket, Henrik Von Schlanbusch, Tago Sarapuu, Florian Schulz, Jakob Sikken, James D. Slotta, Jeremy Toussaint, Alex Verkade, Claire Wajeman, Barbara Wasson, Zacharias C. Zacharia, Martine Van Der Zanden:
Learning by creating and exchanging objects: The SCY experience. Br. J. Educ. Technol. 41(6): 909-921 (2010)
2000 – 2009
- 2008
- [j9]Vlado Stankovski, Martin T. Swain, Valentin Kravtsov, Thomas Niessen, Dennis Wegener, Jörg Kindermann, Werner Dubitzky:
Grid-enabling data mining applications with DataMiningGrid: An architectural perspective. Future Gener. Comput. Syst. 24(4): 259-279 (2008) - 2007
- [j8]Edda Leopold, Jörg Kindermann, Gerhard Paaß:
Analysis of E-Discussions Using Classifier Induced Semantic Spaces. LDV Forum 22(1): 21-27 (2007) - 2006
- [j7]Edda Leopold, Jörg Kindermann:
Content Classification of Multimedia Documents using Partitions of Low-Level Features. J. Virtual Real. Broadcast. 3 (2006) - 2004
- [j6]René Cavet, Stephan Volmer, Edda Leopold, Jörg Kindermann, Gerhard Paaß:
Revealing the connoted visual code: a new approach to video classification. Comput. Graph. 28(3): 361-369 (2004) - [c12]Gerhard Paaß, Jörg Kindermann, Edda Leopold:
Learning Prototype Ontologies by Hierachical Latent Semantic Analysis. LWA 2004: 193-205 - 2003
- [j5]Joachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass:
Authorship Attribution with Support Vector Machines. Appl. Intell. 19(1-2): 109-123 (2003) - [j4]Gerhard Paass, Jörg Kindermann:
Bayesian regression mixtures of experts for geo-referenced data. Intell. Data Anal. 7(6): 567-582 (2003) - 2002
- [j3]Edda Leopold, Jörg Kindermann:
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? Mach. Learn. 46(1-3): 423-444 (2002) - [c11]Martha A. Larson, Stefan Eickeler, Gerhard Paaß, Edda Leopold, Jörg Kindermann:
Exploring sub-word features and linear support vector machines for German spoken document classification. INTERSPEECH 2002: 1989-1992 - [c10]Gerhard Paass, Edda Leopold, Martha A. Larson, Jörg Kindermann, Stefan Eickeler:
SVM Classification Using Sequences of Phonemes and Syllables. PKDD 2002: 373-384 - 2001
- [c9]Jörg Kindermann, Gerhard Paass, Edda Leopold:
Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization. PKDD 2001: 266-276 - 2000
- [c8]Gerhard Paass, Jörg Kindermann:
Multistep Sequential Exploration of Growing Bayesian Classification Models. IJCNN (3) 2000: 566-574 - [c7]Gerhard Paass, Jörg Kindermann:
Transparency and Predicive Power: Explaining Complex Classification Models. PKDD 2000: 558-565
1990 – 1999
- 1998
- [j2]Gerhard Paass, Jörg Kindermann:
Klassifikation mit Populationen von heterogenen Modellen. Künstliche Intell. 12(2): 56-65 (1998) - [c6]Gerhard Paass, Jörg Kindermann:
Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring. PAKDD 1998: 234-245 - [c5]Jörg Kindermann, Gerhard Paass:
Model Switching for Bayesian Classification Trees with Soft Splits. PKDD 1998: 148-157 - 1994
- [c4]Gerhard Paass, Jörg Kindermann:
Bayesian Query Construction for Neural Network Models. NIPS 1994: 443-450 - 1990
- [j1]Jörg Kindermann, Alexander Linden:
Inversion of neural networks by gradient descent. Parallel Comput. 14(3): 277-286 (1990)
1980 – 1989
- 1989
- [c3]Jörg Kindermann, Alexander Linden:
Detection of Minimal Microfeatures by Internal Feedback. ÖGAI 1989: 230-239 - 1987
- [b1]Jörg Kindermann:
Experten parsing: parsing u. Wissensrepräsentation im texttheoret. Rahmen. Bielefeld University, Germany, Buske 1987, ISBN 978-3-87118-838-1, pp. 1-256 - 1986
- [c2]Justus Meier, Jörg Kindermann:
Generierung mit Lexical - Functional Grammar (LFG). GWAI 1986: 113-118 - [c1]Jörg Kindermann, Justus Meier:
An Efficient Parser for Lexical Functional grammar. GWAI 1986: 143-148
Coauthor Index
aka: Gerhard Paaß
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