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A Probabilistic Semantics for Cognitive Maps.

A. Dorze, B. Duval, L. Garcia, D. Genest, P. Leray, and S. Loiseau. ICAART (Revised Selected Papers), volume 8946 of Lecture Notes in Computer Science, page 151-169. Springer, (2014)

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Beatrice Caroli University of Stuttgart

PD Dr. Beatrice Nickel University of Stuttgart

Beatrice Omiecienski University of Stuttgart

Dr. Beatrice-Barbara Hujjon University of Stuttgart

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A Non-parametric Semi-supervised Discretization Method.A. Bondu, M. Boullé, V. Lemaire, S. Loiseau, and B. Duval. ICDM, page 53-62. IEEE Computer Society, (2008)Une solution Prolog au problème de Schubert.B. Duval, and J. Cras. SPLT, (1985)Identifying cancer-related microRNAs based on gene expression data.X. Zhao, K. Liu, G. Zhu, F. He, B. Duval, J. Richer, D. Huang, C. Jiang, J. Hao, and L. Chen. Bioinformatics, 31 (8): 1226-1234 (2015)Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring.O. Goudet, B. Duval, and J. Hao. CoRR, (2019)A Probabilistic Semantics for Cognitive Maps.A. Dorze, B. Duval, L. Garcia, D. Genest, P. Leray, and S. Loiseau. ICAART (Revised Selected Papers), volume 8946 of Lecture Notes in Computer Science, page 151-169. Springer, (2014)Hybrid Filter-Wrapper with a Specialized Random Multi-Parent Crossover Operator for Gene Selection and Classification Problems.E. Huerta, B. Duval, J. Hernández, J. Hao, and R. Morales-Caporal. ICIC (3), volume 6840 of Lecture Notes in Computer Science, page 453-461. Springer, (2011)Abduction and Induction for Explanation-Based Learning.B. Duval. EWSL, volume 482 of Lecture Notes in Computer Science, page 348-360. Springer, (1991)Lukaszewicz' Default Logic: A Theorem Prover Based on SLD-Resolution for Open Default Theory.P. Nicolas, and B. Duval. WOCFAI, page 281-293. Angkor, 6, rue Maître-Albert, 75005 Paris, France, (1995)A Study of Crossover Operators for Gene Selection of Microarray Data.J. Hernandez, B. Duval, and J. Hao. Artificial Evolution, volume 4926 of Lecture Notes in Computer Science, page 243-254. Springer, (2007)NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference.X. Zhang, K. Liu, Z. Liu, B. Duval, J. Richer, X. Zhao, J. Hao, and L. Chen. Bioinformatics, 29 (1): 106-113 (2013)