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Modelling gene and protein regulatory networks with Answer Set Programming.

, , , , and . Int. J. Data Min. Bioinform., 5 (2): 209-229 (2011)

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Efficient Approximate Reasoning with Positive and Negative Information., , and . KES, volume 3214 of Lecture Notes in Computer Science, page 779-785. Springer, (2004)Fuzzy Answer Set Programming with Literal Preferences., , , and . IFSA/EUSFLAT Conf., page 1347-1352. (2009)High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes., , , and . CoRR, (2024)Gradual trust and distrust in recommender systems., , , and . Fuzzy Sets Syst., 160 (10): 1367-1382 (2009)On (un)suitable fuzzy relations to model approximate equality., and . Fuzzy Sets Syst., 133 (2): 137-153 (2003)Clustering web search results using fuzzy ants., , , and . Int. J. Intell. Syst., 22 (5): 455-474 (2007)Exact and heuristic methods for solving Boolean games., , , , , and . Auton. Agents Multi Agent Syst., 31 (1): 66-106 (2017)Complexity of fuzzy answer set programming under Łukasiewicz semantics., , , and . Int. J. Approx. Reason., 55 (9): 1971-2003 (2014)Repairing inconsistent answer set programs using rules of thumb: A gene regulatory networks case study., , and . Int. J. Approx. Reason., (2017)Weakly Supervised Deep Learning for the Detection of Domain Generation Algorithms., , , , , , and . IEEE Access, (2019)