Jörg Kindermann

Publication Activity (10 Years)

Years Active: 1986-2021
Publications (10 Years): 3

Top Venues

LWDA

GI-Jahrestagung

IEEE Trans. Vis. Comput. Graph.

Bielefeld University, Germany (PHD)

Education History

Bielefeld University, Germany

PHD

Publications

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)
Jörg Kindermann, Katharina Beckh
Fusing Multi-label Classification and Semantic Tagging. LWDA (2020)
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) (2020)
Noury Khayat, Michael Mock, Jörg Kindermann
Towards Automatic Behavior Analysis of Learners in a Technology-enhanced Learning Environment. CSEDU (1) (2011)
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) (2010)
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) (2008)
Edda Leopold, Jörg Kindermann, Gerhard Paaß
Analysis of E-Discussions Using Classifier Induced Semantic Spaces. LDV Forum 22 (1) (2007)
Edda Leopold, Jörg Kindermann
Content Classification of Multimedia Documents using Partitions of Low-Level Features. J. Virtual Real. Broadcast. 3 (2006)
Gerhard Paaß, Jörg Kindermann, Edda Leopold
Learning Prototype Ontologies by Hierachical Latent Semantic Analysis. LWA (2004)
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) (2004)
Joachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass
Authorship Attribution with Support Vector Machines. Appl. Intell. 19 (1-2) (2003)
Gerhard Paass, Jörg Kindermann
Bayesian regression mixtures of experts for geo-referenced data. Intell. Data Anal. 7 (6) (2003)
Edda Leopold, Jörg Kindermann
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? Mach. Learn. 46 (1-3) (2002)
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)
Gerhard Paass, Edda Leopold, Martha A. Larson, Jörg Kindermann, Stefan Eickeler
SVM Classification Using Sequences of Phonemes and Syllables. PKDD (2002)
Jörg Kindermann, Gerhard Paass, Edda Leopold
Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization. PKDD (2001)
Gerhard Paass, Jörg Kindermann
Transparency and Predicive Power: Explaining Complex Classification Models. PKDD (2000)
Gerhard Paass, Jörg Kindermann
Multistep Sequential Exploration of Growing Bayesian Classification Models. IJCNN (3) (2000)
Gerhard Paass, Jörg Kindermann
Klassifikation mit Populationen von heterogenen Modellen. Künstliche Intell. 12 (2) (1998)
Gerhard Paass, Jörg Kindermann
Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring. PAKDD (1998)
Jörg Kindermann, Gerhard Paass
Model Switching for Bayesian Classification Trees with Soft Splits. PKDD (1998)
Gerhard Paass, Jörg Kindermann
Bayesian Query Construction for Neural Network Models. NIPS (1994)
Jörg Kindermann, Alexander Linden
Inversion of neural networks by gradient descent. Parallel Comput. 14 (3) (1990)
Jörg Kindermann, Alexander Linden
Detection of Minimal Microfeatures by Internal Feedback. ÖGAI (1989)
Jörg Kindermann, Justus Meier
An Efficient Parser for Lexical Functional grammar. GWAI (1986)
Justus Meier, Jörg Kindermann
Generierung mit Lexical - Functional Grammar (LFG). GWAI (1986)

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Publication Activity (10 Years)

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Jörg Kindermann