Applying Constraint Programming to Protein Structure Determination. - Ludwig Krippahl; Pedro Barahona (CP, 1999)

PSICO: Solving Protein Structures with Constraint Programming and Optimization. - Ludwig Krippahl; Pedro Barahona (Constraints An Int. J., 2002)

Propagating N-Ary Rigid-Body Constraints. - Ludwig Krippahl; Pedro Barahona (CP, 2003)

Applying Constraint Programming to Rigid Body Protein Docking. - Ludwig Krippahl; Pedro Barahona (CP, 2005)

Integrating Web Resources to Model Protein Structure and Function. - Ludwig Krippahl (Reasoning Web, 2006)

A Constraint Programming Approach to Bioinformatics Structural Problems. - Pedro Barahona; Ludwig Krippahl (PADL, 2007)

Bio-informatics Reactivity Features Through the Semantic Web. - Tiago Franco; José Júlio Alferes; Ludwig Krippahl; Ricardo Amador (SWAT4LS, 2008)

Constraint Programming in Structural Bioinformatics. - Pedro Barahona; Ludwig Krippahl (Constraints An Int. J., 2008)

Biological Concept Formation Grammars - A Flexible, Multiagent Linguistic Tool for Biological Processes. - Verónica Dahl; Pedro Barahona; Gemma Bel Enguix; Ludwig Krippahl (ICAART (2), 2010)

Classification Tree Generation Constrained with Variable Weights. - Pedro Barahona; Gemma Bel Enguix; Verónica Dahl; María Dolores Jiménez-López; Ludwig Krippahl (IWINAC (1), 2011)

Pycoevol - A Python Workflow to Study Protein-protein Coevolution. - Fábio Madeira; Ludwig Krippahl (BIOINFORMATICS, 2012)

Constraining Protein Docking with Coevolution Data for Medical Research. - Ludwig Krippahl; Fábio Madeira; Pedro Barahona (AIME, 2013)

CONDENSER: A Graph-Based Approachfor Detecting Botnets. - Pedro Camelo; João Moura 001; Ludwig Krippahl (CoRR, 2014)

Generation of classification trees from variable weighted features. - Pedro Barahona; Gemma Bel Enguix; Verónica Dahl; María Dolores Jiménez-López; Ludwig Krippahl (Nat. Comput., 2014)

Protein docking with predicted constraints. - Ludwig Krippahl; Pedro Barahona (Algorithms Mol. Biol., 2015)

Constraining Redundancy to Improve Protein Docking. - Ludwig Krippahl; Pedro Barahona (CP, 2016)

Teaching the Machine to Explain Itself using Domain Knowledge. - Vladimir Balayan; Pedro Saleiro; Catarina G. Belém; Ludwig Krippahl; Pedro Bizarro (CoRR, 2020)

Explainable Abstract Trains Dataset. - Manuel de Sousa Ribeiro; Ludwig Krippahl; João Leite 001 (CoRR, 2020)

Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL. - Ricardo Ferreira; Carolina Lopes; Ricardo Gonçalves 001; Matthias Knorr 001; Ludwig Krippahl; João Leite 001 (EPIA, 2021)

Faster Than LASER - Towards Stream Reasoning with Deep Neural Networks. - João Ferreira; Diogo Lavado; Ricardo Gonçalves 001; Matthias Knorr 001; Ludwig Krippahl; João Leite 001 (EPIA, 2021)

Forecasting biotoxin contamination in mussels across production areas of the Portuguese coast with Artificial Neural Networks. - Rafaela C. Cruz; Pedro Reis Costa; Ludwig Krippahl; Marta B. Lopes (Knowl. Based Syst., 2022)

Satellite-based feature extraction and multivariate time-series prediction of biotoxin contamination in shellfish. - Sérgio Tavares; Pedro Reis Costa; Ludwig Krippahl; Marta B. Lopes (CoRR, 2023)