1. Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota Lin, Yun C.; Salleb-Aouissi, Ansaf; Hooven, Thomas A. 2022 Articles Enterocolitis, Neonatal necrotizingMachine learningFeces--Analysis
2. Data pre-processing for the preterm prediction study MFMU dataset Vovsha, Ilia; Salleb-Aouissi, Ansaf; Radeva, Axinia; Raja, Anita; Diab, Hatim; Tomar, Ashish; Rajan, Ashwath 2013 Reports ObstetricsGynecologyBioinformaticsBiometry
3. Evaluating Machine Learning for Improving Power Grid Reliability Wu, Leon Li; Kaiser, Gail E.; Rudin, Cynthia; Waltz, David L.; Anderson, Roger N.; Boulanger, Albert G.; Salleb-Aouissi, Ansaf; Dutta, Haimonti; Pooleery, Manoj 2011 Reports Computer science
4. From Classification Rules to Action Recommendations Salleb-Aouissi, Ansaf; Trépos, Ronan; Cordier, Marie-Odile; Masson, Véronique; Salleb-Aouissi, Ansaf; Trépos, Ronan; Cordier, Marie-Odile; Masson, Veronique 2008 Reports Computer scienceArtificial intelligence
5. Susceptibility Ranking of Electrical Feeders: A Case Study Gross, Philip; Salleb-Aouissi, Ansaf; Dutta, Haimonti; Boulanger, Albert; Gross, Philip N.; Salleb-Aouissi, Ansaf; Dutta, Haimonti; Boulanger, Albert G. 2008 Reports Computer scienceArtificial intelligence
6. Toward Actionable Support Vector Machines: A Ranking-based Approach Salleb-Aouissi, Ansaf; Huang, Bert C.; Waltz, David L.; Salleb-Aouissi, Ansaf; Huang, Bert C.; Waltz, David L. 2008 Reports Computer scienceArtificial intelligence