Kluegl, P.; Toepfer, M.; Lemmerich, F.; Hotho, A. & Puppe, F. (2013),
'Exploiting Structural Consistencies with Stacked Conditional Random Fields', Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics
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Atzmueller, M.; Beer, S. & Puppe, F. (2012),
Data Mining, Validation and Collaborative Knowledge Capture, in Stefan Brüggemann & Claudia d’Amato, ed.,
'Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources'
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Klügl, P.; Toepfer, M.; Lemmerich, F.; Hotho, A. & Puppe, F. (2012),
Collective Information Extraction with Context-Specific Consistencies., in
Peter A. Flach; Tijl De Bie & Nello Cristianini, ed.,
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Klügl, P.; Toepfer, M.; Lemmerich, F.; Hotho, A. & Puppe, F. (2012),
Stacked Conditional Random Fields Exploiting Structural Consistencies, in
Pedro Latorre Carmona; J. Salvador Sánchez & Ana Fred, ed.,
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Atzmueller, M.; Beer, S. & Puppe, F. (2011),
Data Mining, Validation and Collaborative Knowledge Capture, in Stefan Brüggemann & Claudia d’Amato, ed.,
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Toepfer, M.; Kluegl, P.; Hotho, A. & Puppe, F. (2011),
Segmentation of References with Skip-Chain Conditional Random Fields for Consistent Label Transitions, in
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Kluegl, P.; Hotho, A. & Puppe, F. (2010),
Local Adaptive Extraction of References, in
Rüdiger Dillmann; Jürgen Beyerer; Uwe D. Hanebeck & Tanja Schultz, ed.,
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Toepfer, M.; Kluegl, P.; Hotho, A. & Puppe., F. (2010),
Conditional Random Fields For Local Adaptive Reference Extraction, in
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Atzmueller, M.; Beer, S. & Puppe, F. (2009),
A Data Warehouse-Based Approach for Quality Management, Evaluation and Analysis of Intelligent Systems using Subgroup Mining, in
'Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted'
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Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2009),
'A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery', International Journal on Artificial Intelligence Tools (IJAIT)
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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
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Puppe, F.; Atzmueller, M.; Buscher, G.; Huettig, M.; Lührs, H. & Buscher, H.-P. (2008),
Application and Evaluation of a Medical Knowledge-System in Sonography (SonoConsult), in
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Atzmueller, M. & Puppe, F. (2007),
Causal Subgroup Analysis for Detecting Confounding, in
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Atzmueller, M.; Baumeister, J.; Klügl, P. & Puppe, F. (2007),
Rapid Knowledge Capture Using Subgroup Discovery with Incremental Refinement, in
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Atzmueller, M. & Puppe, F. (2006),
Case-Based Characterization and Analysis of Subgroup Patterns, in
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Atzmueller, M. & Puppe, F. (2006),
SD-Map -- A Fast Algorithm for Exhaustive Subgroup Discovery, in
'Proc. 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2006)'
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Baumeister, J.; Atzmueller, M.; Kluegl, P. & Puppe, F. (2006),
Conservative and Creative Strategies for the Refinement of Scoring Rules, in
Geoff Sutcliffe & Randy Goebel, ed.,
'Proc. 19th Intl. Florida Artificial Intelligence Research Society Conference 2006 (FLAIRS-2006)'
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Atzmueller, M.; Baumeister, J. & Puppe, F. (2005),
Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement, in
'Proc. 13th Leipziger Informatik-Tage 2005 (LIT 2005)'
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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)'
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Baumeister, J.; Atzmueller, M. & Puppe, F. (2002),
Inductive Learning for Case-Based Diagnosis with Multiple Faults, in
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