QuickSearch:   Number of matching entries: 0.

AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Atzmueller, M., Puppe, F. & Buscher, H.-P. A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery 2009 International Journal on Artificial Intelligence Tools (IJAIT)   article  
Atzmueller, M. & Nalepa, G. J. A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture 2009 Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted   inproceedings  
Atzmueller, M. & Nalepa, G. J. Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping 2009 Technical Report 458, Institute of Computer Science, University of W├╝rzburg   article  
Atzmueller, M. & Seipel, D. Causal Subgroup Analysis for Detecting Confounding (Extended version) 2008 Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted   inproceedings  
Atzmueller, M. & Seipel, D. Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining (Extended version) 2008 Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted   inproceedings  
Atzmueller, M., Beer, S., Hörnlein, A., Melcher, R., Lührs, H. & Puppe, F. Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain 2008 Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems   inproceedings  
Proceedings of the LWA 2008 - Lernen, Wissen, Adaptivität 2008 Baumeister, J. & Atzmueller, M. (ed.)
 
book  
Atzmueller, M. Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery 2007   book  
Atzmueller, M., Baumeister, J. & Puppe, F. Semi-Automatic Learning of Simple Diagnostic Scores Utilizing Complexity Measures 2006 Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine   article  
Atzmueller, M., Baumeister, J. & Puppe, F. Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement 2005 Proc. 13th Leipziger Informatik-Tage 2005 (LIT 2005)   inproceedings  
Atzmueller, M., Puppe, F. & Buscher, H.-P. Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery 2005 Proc. 19th International Joint Conference on Artificial Intelligence (IJCAI-05)   inproceedings  
Atzmueller, M., Puppe, F. & Buscher, H.-P. Profiling Examiners using Intelligent Subgroup Mining 2005 Proc. 10th International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2005)   inproceedings  
Atzmueller, M., Baumeister, J., Hemsing, A., Richter, E.-J. & Puppe, F. Subgroup Mining for Interactive Knowledge Refinement 2005 Proc. 10th Conference on Artificial Intelligence in Medicine (AIME 05)   inproceedings  
Puppe, F., Buscher, G., Atzmueller, M., Huettig, M. & Buscher, H.-P. Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult) 2005 Professional Knowledge Management   inproceedings  
Atzmueller, M., Shi, W., Baumeister, J., Puppe, F. & Barnden, J. A. Case-Based Approaches for Diagnosing Multiple Disorders 2004 Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004) Barr, V. & Markov, Z. (ed.)
 
inproceedings  
Atzmueller, M., Baumeister, J. & Puppe, F. Quality Measures for Semi-Automatic Learning of Simple Diagnostic Rule Bases 2004 Proc. 15th Intl. Conference on Applications of Declarative Programming and Knowledge Management (INAP 2004)   inproceedings  
Atzmueller, M., Puppe, F. & Buscher, H.-P. Towards Knowledge-Intensive Subgroup Discovery 2004 Proc. LWA 2004 Workshop, Germany   inproceedings  
Atzmueller, M., Baumeister, J. & Puppe, F. Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults 2003 Proc. 2nd Conf. Professional Knowledge Management (WM2003)   inproceedings  
Atzmueller, M., Baumeister, J. & Puppe, F. Inductive Learning of Simple Diagnostic Scores 2003 Medical Data Analysis, Proc. 4th Intl. Symposium on Medical Data Analysis (ISMDA 2003), LNCS 2868   inproceedings  
Baumeister, J., Atzmueller, M. & Puppe, F. Inductive Learning for Case-Based Diagnosis with Multiple Faults 2002 Advances in Case-Based Reasoning   inproceedings  

Created by JabRef export filters on 28/02/2020 by the social publication management platform PUMA