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. & Puppe, F.
(2008).
A Case-Based Approach for Characterization and Analysis of Subgroup Patterns. Journal of Applied Intelligence,
28, 210-221.
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.
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., 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.
Atzmueller, M., Baumeister, J., Hemsing, A., Richter, E.-J. & Puppe, F.
(2005).
Subgroup Mining for Interactive Knowledge Refinement.
Proc. 10th Conference on Artificial Intelligence in Medicine (AIME 05) (p./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).
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),
.