Jörg Kindermann

According to our database, Jörg Kindermann authored at least 27 papers between 1986 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Digitalisierungsworkflow zur Strukturierung und Standardisierung von Instandhaltungsinformationen von Windenergieanlagen.

Marc-Alexander Lutz, Katharina Beckh, Jörg Kindermann, Juliane Schneider, Julia Walgern, Sebastian Pfaffel, Stefan Faulstich, Alisa Staack

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

2020

LDA Ensembles for Interactive Exploration and Categorization of Behaviors.

Siming Chen, Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Jérémie Barlet, Jörg Kindermann, Phong H. Nguyen, Olivier Thonnard, Cagatay Turkay

IEEE Trans. Vis. Comput. Graph., 2020

Fusing Multi-label Classification and Semantic Tagging.

Jörg Kindermann, Katharina Beckh

Proceedings of the Conference "Lernen, 2020

2011

Towards Automatic Behavior Analysis of Learners in a Technology-enhanced Learning Environment.

Noury Khayat, Michael Mock, Jörg Kindermann

Proceedings of the CSEDU 2011, 2011

2010

Learning by creating and exchanging objects: The SCY experience.

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

Br. J. Educ. Technol., 2010

2008

Grid-enabling data mining applications with DataMiningGrid: An architectural perspective.

Vlado Stankovski, Martin T. Swain, Valentin Kravtsov, Thomas Niessen, Dennis Wegener, Jörg Kindermann, Werner Dubitzky

Future Gener. Comput. Syst., 2008

2007

Analysis of E-Discussions Using Classifier Induced Semantic Spaces.

Edda Leopold, Jörg Kindermann, Gerhard Paaß

LDV Forum, 2007

2006

Content Classification of Multimedia Documents using Partitions of Low-Level Features.

Edda Leopold, Jörg Kindermann

J. Virtual Real. Broadcast., 2006

2004

Revealing the connoted visual code: a new approach to video classification.

René Cavet, Stephan Volmer, Edda Leopold, Jörg Kindermann, Gerhard Paaß

Comput. Graph., 2004

Learning Prototype Ontologies by Hierachical Latent Semantic Analysis.

Gerhard Paaß, Jörg Kindermann, Edda Leopold

Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

2003

Bayesian regression mixtures of experts for geo-referenced data.

Gerhard Paass, Jörg Kindermann

Intell. Data Anal., 2003

Authorship Attribution with Support Vector Machines.

Joachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass

Appl. Intell., 2003

2002

Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?

Edda Leopold, Jörg Kindermann

Mach. Learn., 2002

SVM Classification Using Sequences of Phonemes and Syllables.

Gerhard Paass, Edda Leopold, Martha A. Larson, Jörg Kindermann, Stefan Eickeler

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Exploring sub-word features and linear support vector machines for German spoken document classification.

Martha A. Larson, Stefan Eickeler, Gerhard Paaß, Edda Leopold, Jörg Kindermann

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

2001

Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization.

Jörg Kindermann, Gerhard Paass, Edda Leopold

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

2000

Transparency and Predicive Power: Explaining Complex Classification Models.

Gerhard Paass, Jörg Kindermann

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Multistep Sequential Exploration of Growing Bayesian Classification Models.

Gerhard Paass, Jörg Kindermann

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1998

Klassifikation mit Populationen von heterogenen Modellen.

Gerhard Paass, Jörg Kindermann

Künstliche Intell., 1998

Model Switching for Bayesian Classification Trees with Soft Splits.

Jörg Kindermann, Gerhard Paass

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring.

Gerhard Paass, Jörg Kindermann

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

1994

Bayesian Query Construction for Neural Network Models.

Gerhard Paass, Jörg Kindermann

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1990

Inversion of neural networks by gradient descent.

Jörg Kindermann, Alexander Linden

Parallel Comput., 1990

1989

Detection of Minimal Microfeatures by Internal Feedback.

Jörg Kindermann, Alexander Linden

Proceedings of the 5. Österreichische Artificial Intelligence-Tagung, 1989

1987

Experten parsing: parsing u. Wissensrepräsentation im texttheoret. Rahmen.

Jörg Kindermann

PhD thesis, 1987

1986

Generierung mit Lexical - Functional Grammar (LFG).

Justus Meier, Jörg Kindermann

Proceedings of the GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung, 1986

An Efficient Parser for Lexical Functional grammar.

Jörg Kindermann, Justus Meier

Proceedings of the GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung, 1986