Jörg Kindermann

27 papers A 1B 1Journal 11Unranked 13

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Digitalisierungsworkflow zur Strukturierung und Standardisierung von Instandhaltungsinformationen von Windenergieanlagen. GI-Jahrestagung Marc-Alexander Lutz, Katharina Beckh, Jörg Kindermann, Juliane Schneider, Julia Walgern, Sebastian Pfaffel, Stefan Faulstich, Alisa Staack
2020	—	`conf`	Fusing Multi-label Classification and Semantic Tagging. LWDA Jörg Kindermann, Katharina Beckh
2020	J	`jnl`	LDA Ensembles for Interactive Exploration and Categorization of Behaviors. IEEE Trans. Vis. Comput. Graph. Siming Chen, Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Jérémie Barlet, Jörg Kindermann, Phong H. Nguyen, Olivier Thonnard, Cagatay Turkay
2011	—	`conf`	Towards Automatic Behavior Analysis of Learners in a Technology-enhanced Learning Environment. CSEDU (1) Noury Khayat, Michael Mock, Jörg Kindermann
2010	J	`jnl`	Learning by creating and exchanging objects: The SCY experience. Br. J. Educ. Technol. 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
2008	J	`jnl`	Grid-enabling data mining applications with DataMiningGrid: An architectural perspective. Future Gener. Comput. Syst. Vlado Stankovski, Martin T. Swain, Valentin Kravtsov, Thomas Niessen, Dennis Wegener, Jörg Kindermann, Werner Dubitzky
2007	J	`jnl`	Analysis of E-Discussions Using Classifier Induced Semantic Spaces. LDV Forum Edda Leopold, Jörg Kindermann, Gerhard Paaß
2006	J	`jnl`	Content Classification of Multimedia Documents using Partitions of Low-Level Features. J. Virtual Real. Broadcast. Edda Leopold, Jörg Kindermann
2004	—	`conf`	Learning Prototype Ontologies by Hierachical Latent Semantic Analysis. LWA Gerhard Paaß, Jörg Kindermann, Edda Leopold
2004	J	`jnl`	Revealing the connoted visual code: a new approach to video classification. Comput. Graph. René Cavet, Stephan Volmer, Edda Leopold, Jörg Kindermann, Gerhard Paaß
2003	J	`jnl`	Authorship Attribution with Support Vector Machines. Appl. Intell. Joachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass
2003	J	`jnl`	Bayesian regression mixtures of experts for geo-referenced data. Intell. Data Anal. Gerhard Paass, Jörg Kindermann
2002	A	`conf`	Exploring sub-word features and linear support vector machines for German spoken document classification. INTERSPEECH Martha A. Larson, Stefan Eickeler, Gerhard Paaß, Edda Leopold, Jörg Kindermann
2002	—	`conf`	SVM Classification Using Sequences of Phonemes and Syllables. PKDD Gerhard Paass, Edda Leopold, Martha A. Larson, Jörg Kindermann, Stefan Eickeler
2002	J	`jnl`	Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? Mach. Learn. Edda Leopold, Jörg Kindermann
2001	—	`conf`	Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization. PKDD Jörg Kindermann, Gerhard Paass, Edda Leopold
2000	—	`conf`	Multistep Sequential Exploration of Growing Bayesian Classification Models. IJCNN (3) Gerhard Paass, Jörg Kindermann
2000	—	`conf`	Transparency and Predicive Power: Explaining Complex Classification Models. PKDD Gerhard Paass, Jörg Kindermann
1998	B	`conf`	Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring. PAKDD Gerhard Paass, Jörg Kindermann
1998	J	`jnl`	Klassifikation mit Populationen von heterogenen Modellen. Künstliche Intell. Gerhard Paass, Jörg Kindermann
1998	—	`conf`	Model Switching for Bayesian Classification Trees with Soft Splits. PKDD Jörg Kindermann, Gerhard Paass
1994	—	`conf`	Bayesian Query Construction for Neural Network Models. NIPS Gerhard Paass, Jörg Kindermann
1990	J	`jnl`	Inversion of neural networks by gradient descent. Parallel Comput. Jörg Kindermann, Alexander Linden
1989	—	`conf`	Detection of Minimal Microfeatures by Internal Feedback. ÖGAI Jörg Kindermann, Alexander Linden
1987	—	`—`	Experten parsing: parsing u. Wissensrepräsentation im texttheoret. Rahmen. Jörg Kindermann
1986	—	`conf`	An Efficient Parser for Lexical Functional grammar. GWAI Jörg Kindermann, Justus Meier
1986	—	`conf`	Generierung mit Lexical - Functional Grammar (LFG). GWAI Justus Meier, Jörg Kindermann