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 30 , 111-125 .
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' , IGI Global, , pp. 149-167 .
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., 'ECML/PKDD (1)' , Springer, , pp. 728-743 .
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., 'Proceedings of 1st International Conference on Pattern Recognition Applications and Methods ICPRAM' , SciTePress, Vilamoura, Algarve, Portugal , pp. 240-248 .
Atzmueller, M.; Beer, S. & Puppe, F. (2011), 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.' , IGI Global, .
Toepfer, M.; Kluegl, P.; Hotho, A. & Puppe, F. (2011), Segmentation of References with Skip-Chain Conditional Random Fields for Consistent Label Transitions, in 'Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation' .
Kluegl, P.; Hotho, A. & Puppe, F. (2010), Local Adaptive Extraction of References, in Rüdiger Dillmann; Jürgen Beyerer; Uwe D. Hanebeck & Tanja Schultz, ed., 'KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI' , Springer, , pp. 40-47 .
Toepfer, M.; Kluegl, P.; Hotho, A. & Puppe., F. (2010), Conditional Random Fields For Local Adaptive Reference Extraction, in Martin Atzmüller; Dominik Benz; Andreas Hotho & Gerd Stumme, ed., 'Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet' .
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' , AAAI Press, , pp. 372-377 .
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.; 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' .
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 'Proc. 18th European Conference on Artificial Intelligence (ECAI 20008), accepted' .
Atzmueller, M. & Puppe, F. (2007), Causal Subgroup Analysis for Detecting Confounding, in 'Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management (INAP 2007)' .
Atzmueller, M.; Baumeister, J.; Klügl, P. & Puppe, F. (2007), Rapid Knowledge Capture Using Subgroup Discovery with Incremental Refinement, in 'Proc. 4th International Conference on Knowledge Capture (K-CAP 2007)' , ACM Press, , pp. 31--38 .
Atzmueller, M. & Puppe, F. (2006), Case-Based Characterization and Analysis of Subgroup Patterns, in 'Proc. LWA 2006 (KDML Special Track), Hildesheimer Informatik Berichte' , University of Hildesheim, .
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)' , pp. 6-17 .
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)' , AAAI Press, , pp. 408--413 .
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.; 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 .
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 .