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Clustering and classification techniques to assess aquatic toxicity.

, , and . KES, page 166-172. IEEE, (2000)

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Results from a Data Mining Approach to Predictive Toxicology. The Case of Pesticides Data., and . PRIS, page 114-123. ICEIS Press, (2002)SAR and QSAR modeling of a large collection of LD50 rat acute oral toxicity data., , , , , , , , and . J. Cheminformatics, 11 (1): 58:1-58:16 (2019)The acceptance of in silico models for REACH: Requirements, barriers, and perspectives, , , , , , , and . Chemistry Central Journal, 5 (1): 58+ (2011)Identification of Toxifying and Detoxifying Moieties for Mutagenicity Prediction by Priority Assessment., , and . Journal of Chemical Information and Modeling, 51 (7): 1564-1574 (2011)VEGA-QSAR: AI Inside a Platform for Predictive Toxicology., , and . PAI@AI*IA, volume 1107 of CEUR Workshop Proceedings, page 21-28. CEUR-WS.org, (2013)Grid Computing for the Estimation of Toxicity: Acute Toxicity on Fathead Minnow (Pimephales promelas)., , , , , and . GCCB, volume 4360 of Lecture Notes in Computer Science, page 60-74. Springer, (2006)QSAR Model for Predicting Pesticide Aquatic Toxicity., , , and . Journal of Chemical Information and Modeling, 45 (6): 1767-1774 (2005)Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach., , , and . Multiple Classifier Systems, volume 2364 of Lecture Notes in Computer Science, page 293-303. Springer, (2002)QSPR modeling of enthalpies of formation for organometallic compounds by SMART-based optimal descriptors., , , and . J. Comput. Chem., 30 (15): 2576-2582 (2009)Predictive Toxicology Results Integrating Different AI Paradigms: The Carcinogenicity Case., , , and . IIA/SOCO, ICSC Academic Press, Rochester, NY, USA, (1999)