Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. - Ulrich Rückert 002; Lothar Richter; Stefan Kramer 001 (ICDM, 2004)

Analyzing microarray data using quantitative association rules. - Elisabeth Georgii; Lothar Richter; Ulrich Rückert 002; Stefan Kramer 001 (ECCB/JBI, 2005)

Inductive Databases in the Relational Model: The Data as the Bridge. - Stefan Kramer 001; Volker Aufschild; Andreas Hapfelmeier; Alexander Jarasch; Kristina Kessler; Stefan Reckow; Jörg Wicker; Lothar Richter (KDID, 2005)

Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition. - Lothar Richter; Stefan Hechtl; Stefan Kramer 001 (BIBE, 2006)

Learning a Predictive Model for Growth Inhibition from the NCI DTP Human Tumor Cell Line Screening Data: Does Gene Expression Make a Difference? - Lothar Richter; Ulrich Rückert 002; Stefan Kramer 001 (Pacific Symposium on Biocomputing, 2006)

An inductive database and query language in the relational model. - Lothar Richter; Jörg Wicker; Kristina Kessler; Stefan Kramer 001 (EDBT, 2008)

SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. - Jörg Wicker; Lothar Richter; Kristina Kessler; Stefan Kramer 001 (ECML/PKDD (2), 2008)

Finding Relational Associations in HIV Resistance Mutation Data. - Lothar Richter; Regina Augustin; Stefan Kramer 001 (ILP, 2009)

SINDBAD and SiQL: Overview, Applications and Future Developments. - Jörg Wicker; Lothar Richter; Stefan Kramer 001 (Inductive Databases and Constraint-Based Data Mining, 2010)

Predicting a small molecule-kinase interaction map: A machine learning approach. - Fabian Buchwald; Lothar Richter; Stefan Kramer 001 (J. Cheminformatics, 2011)

PredictProtein - an open resource for online prediction of protein structural and functional features. - Guy Yachdav; Edda Kloppmann; László Kaján; Maximilian Hecht; Tatyana Goldberg; Tobias Hamp; Peter Hönigschmid; Andrea Schafferhans; Manfred Roos; Michael Bernhofer; Lothar Richter; Haim Ashkenazy; et al. (Nucleic Acids Res., 2014)