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A Knowledge Discovery Method for the Characterization of Protein Unfolding Processes., , , and . IWPACBB, volume 49 of Advances in Soft Computing, page 180-188. Springer, (2008)A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering., , , and . CIBCB, page 461-468. IEEE, (2007)In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data., , , and . IWBBIO, page 463-472. Copicentro Editorial, (2014)A Machine Learning Approach to Enhance Scoring Performance in Docking-Based Virtual Screening Experiments: COX-1 as a Case Study., , , , and . IWBBIO, page 406-414. Copicentro Editorial, (2014)Predicting hydrophobic solvation by molecular simulation: 1. Testing united-atom alkane models., , , , and . J. Comput. Chem., 38 (6): 346-358 (2017)Mining Approximate Motifs in Time Series., , , and . Discovery Science, volume 4265 of Lecture Notes in Computer Science, page 89-101. Springer, (2006)Spatial Clustering of Molecular Dynamics Trajectories in Protein Unfolding Simulations., , , and . CIBB, volume 5488 of Lecture Notes in Computer Science, page 156-166. Springer, (2008)On Mining Protein Unfolding Simulation Data with Inductive Logic Programming., , , and . IWPACBB, volume 49 of Advances in Soft Computing, page 175-179. Springer, (2008)Detection of Hydrophobic Clusters in Molecular Dynamics Protein Unfolding Simulations Using Association Rules., , , , and . ISBMDA, volume 3745 of Lecture Notes in Computer Science, page 329-337. Springer, (2005)