Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2009), 'A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery', International Journal on Artificial Intelligence Tools (IJAIT) 18 (1), 1 -- 18.

Atzmueller, M. & Nalepa, G. J. (2009), A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture, in 'Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted' .

Atzmueller, M. & Nalepa, G. J. (2009), 'Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping', Technical Report 458, Institute of Computer Science, University of Würzburg .

Atzmueller, M. & Seipel, D. (2008), Causal Subgroup Analysis for Detecting Confounding (Extended version), in 'Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted' .

Atzmueller, M. & Seipel, D. (2008), Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining (Extended version), in 'Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted' .

Atzmueller, M.; Beer, S.; Hörnlein, A.; Melcher, R.; Lührs, H. & Puppe, F. (2008), Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain, in 'Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems' .

Baumeister, J. & Atzmueller, M., ed. (2008), Proceedings of the LWA 2008 - Lernen, Wissen, Adaptivität , Institute of Computer Science, University of Würzburg .

Atzmueller, M. (2007), Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery , Vol. 307 , IOS Press .

Atzmueller, M.; Baumeister, J. & Puppe, F. (2006), 'Semi-Automatic Learning of Simple Diagnostic Scores Utilizing Complexity Measures', Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine 37 (1), 19--30.

Atzmueller, M.; Baumeister, J. & Puppe, F. (2005), Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement, in 'Proc. 13th Leipziger Informatik-Tage 2005 (LIT 2005)' , pp. 101-106 .

Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2005), Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery, in 'Proc. 19th International Joint Conference on Artificial Intelligence (IJCAI-05)' , pp. 647--652 .

Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2005), Profiling Examiners using Intelligent Subgroup Mining, in 'Proc. 10th International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2005)' , pp. 46--51 .

Atzmueller, M.; Baumeister, J.; Hemsing, A.; Richter, E.-J. & Puppe, F. (2005), Subgroup Mining for Interactive Knowledge Refinement, in 'Proc. 10th Conference on Artificial Intelligence in Medicine (AIME 05)' , pp. 453--462 .

Puppe, F.; Buscher, G.; Atzmueller, M.; Huettig, M. & Buscher, H.-P. (2005), Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult), in 'Professional Knowledge Management' , pp. 319–-329 .

Atzmueller, M.; Shi, W.; Baumeister, J.; Puppe, F. & Barnden, J. A. (2004), Case-Based Approaches for Diagnosing Multiple Disorders, in Valerie Barr & Zdravko Markov, ed., 'Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004)' , AAAI Press, , pp. 154--159 .

Atzmueller, M.; Baumeister, J. & Puppe, F. (2004), Quality Measures for Semi-Automatic Learning of Simple Diagnostic Rule Bases, in 'Proc. 15th Intl. Conference on Applications of Declarative Programming and Knowledge Management (INAP 2004)' , pp. 203--213 .

Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2004), Towards Knowledge-Intensive Subgroup Discovery, in 'Proc. LWA 2004 Workshop, Germany' , pp. 117--123 .

Atzmueller, M.; Baumeister, J. & Puppe, F. (2003), Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults, in 'Proc. 2nd Conf. Professional Knowledge Management (WM2003)' .

Atzmueller, M.; Baumeister, J. & Puppe, F. (2003), Inductive Learning of Simple Diagnostic Scores, in 'Medical Data Analysis, Proc. 4th Intl. Symposium on Medical Data Analysis (ISMDA 2003), LNCS 2868' , pp. 23-30 .

Baumeister, J.; Atzmueller, M. & Puppe, F. (2002), Inductive Learning for Case-Based Diagnosis with Multiple Faults, in 'Advances in Case-Based Reasoning' , pp. 28-42 .