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 -- 18.

Atzmueller, M. & Nalepa, G. J. (2009). A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture. 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). 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). 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. Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems, Erfurt.

Atzmueller, M. & Puppe, F. (2008). Semi-Automatic Refinement and Assessment of Subgroup Patterns. Proc. 21th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2008), : AAAI Press.

Baumeister, J. & Atzmueller, M. (eds.) (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. (2006). Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery. Unpublished doctoral dissertation , Department of Computer Science, University of Würzburg .

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, 19--30.

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

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

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

Atzmueller, M., Shi, W., Baumeister, J., Puppe, F. & Barnden, J. A. (2004). Case-Based Approaches for Diagnosing Multiple Disorders. In V. Barr & Z. Markov (eds.), Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004) (p./pp. 154--159), : AAAI Press.

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

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

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

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

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