An Application of Association Rules Discovery to Geographic Information Systems. - Ansaf Salleb; Christel Vrain (PKDD, 2000)

Mining maximal frequent itemsets by a boolean approach. - Ansaf Salleb; Zahir Maazouzi; Christel Vrain (ECAI, 2002)

Apprentissage de règles caractéristiques. - Teddy Turmeaux; Daniel Cassard; Ansaf Salleb; Christel Vrain (EGC, 2003)

Learning Characteristic Rules Relying on Quantified Paths. - Teddy Turmeaux; Ansaf Salleb; Christel Vrain; Daniel Cassard (PKDD, 2003)

BoolLoader : un chargeur efficace dédié aux bases de transactions denses. - Zahir Maazouzi; Ansaf Salleb; Christel Vrain (EGC, 2004)

A Distance-Based Approach for Action Recommendation. - Ronan Trepos; Ansaf Salleb; Marie-Odile Cordier; Véronique Masson; Chantal Gascuel (ECML, 2005)

Extraction de règles d'association quantitatives - Application à des données médicales. - Cyril Nortet; Ansaf Salleb; Teddy Turmeaux; Christel Vrain (EGC, 2005)

Le rôle de l'utilisateur dans un processus d'extraction de règles d'association. - Cyril Nortet; Ansaf Salleb-Aouissi; Teddy Turmeaux; Christel Vrain (EGC (Ateliers), 2005)

Estimation of the Density of Datasets with Decision Diagrams. - Ansaf Salleb; Christel Vrain (ISMIS, 2005)

QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. - Ansaf Salleb-Aouissi; Christel Vrain; Cyril Nortet (IJCAI, 2007)

A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases. - Ansaf Salleb-Aouissi; Christel Vrain (Fundam. Informaticae, 2007)

On the Discovery of Exception Rules: A Survey. - Béatrice Duval; Ansaf Salleb; Christel Vrain (Quality Measures in Data Mining, 2007)

Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement. - Ansaf Salleb-Aouissi; Bert Huang; David L. Waltz (EGC, 2008)

Ranking Electrical Feeders of the New York Power Grid. - Philip Gross; Ansaf Salleb-Aouissi; Haimonti Dutta; Albert Boulanger (ICMLA, 2009)

Alive on Back-feed Culprit Identification via Machine Learning. - Bert Huang; Ansaf Salleb-Aouissi; Philip Gross (ICMLA, 2009)

Discovering Characterization Rules from Rankings. - Ansaf Salleb-Aouissi; Bert Huang; David L. Waltz (ICMLA, 2009)

Making Sense of Word Sense Variation. - Rebecca Passoneau; Ansaf Salleb-Aouissi; Nancy Ide (SEW@NAACL-HLT, 2009)

Maximum Entropy Density Estimation with Incomplete Presence-Only Data. - Bert Huang; Ansaf Salleb-Aouissi (AISTATS, 2009)

Anveshan: A Framework for Analysis of Multiple Annotators' Labeling Behavior. - Vikas Bhardwaj; Rebecca J. Passonneau; Ansaf Salleb-Aouissi; Nancy Ide (Linguistic Annotation Workshop, 2010)

Patient-Specific Seizure Detection from Intra-cranial EEG Using High Dimensional Clustering. - Haimonti Dutta; David L. Waltz; Karthik M. Ramasamy; Philip Gross; Ansaf Salleb-Aouissi; Hatim Diab; Manoj Pooleery; Catherine A. Schevon; Ronald Emerson (ICMLA, 2010)

Word Sense Annotation of Polysemous Words by Multiple Annotators. - Rebecca J. Passonneau; Ansaf Salleb-Aouissi; Vikas Bhardwaj; Nancy Ide (LREC, 2010)

Sequential Event Prediction with Association Rules. - Cynthia Rudin; Benjamin Letham; Ansaf Salleb-Aouissi; Eugene Kogan; David Madigan (COLT, 2011)

Improving Crowd Labeling through Expert Evaluation. - Faiza Khan Khattak; Ansaf Salleb-Aouissi (AAAI Spring Symposium: Wisdom of the Crowd, 2012)

Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations. - Rebecca J. Passonneau; Vikas Bhardwaj; Ansaf Salleb-Aouissi; Nancy Ide (Lang. Resour. Evaluation, 2012)

Machine Learning for theNew York City Power Grid. - Cynthia Rudin; David L. Waltz; Roger Anderson; Albert Boulanger; Ansaf Salleb-Aouissi; Maggie Chow; Haimonti Dutta; Philip Gross; Bert Huang; Steve Ierome (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Robust Crowd Labeling Using Little Expertise. - Faiza Khan Khattak; Ansaf Salleb-Aouissi (Discovery Science, 2013)

QuantMiner for mining quantitative association rules. - Ansaf Salleb-Aouissi; Christel Vrain; Cyril Nortet; Xiangrong Kong; Vivek Rathod; Daniel Cassard (J. Mach. Learn. Res., 2013)

Building actions from classification rules. - Ronan Trepos; Ansaf Salleb-Aouissi; Marie-Odile Cordier; Véronique Masson; Chantal Gascuel-Odoux (Knowl. Inf. Syst., 2013)

Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual Wellness. - Ilia Vovsha; Ashwath Rajan; Ansaf Salleb-Aouissi; Anita Raja; Axinia Radeva; Hatim Diab; Ashish Tomar; Ronald J. Wapner (AAAI Spring Symposia, 2014)

Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S. - Antonio Moretti; Kathy McKnight; Ansaf Salleb-Aouissi (EDM, 2015)

Learning Characteristic Rules in Geographic Information Systems. - Ansaf Salleb-Aouissi; Christel Vrain; Daniel Cassard (RuleML, 2015)

Using Kernel Methods and Model Selection for Prediction of Preterm Birth. - Ilia Vovsha; Ansaf Salleb-Aouissi; Anita Raja; Thomas Koch; Alex Rybchuk; Axinia Radeva; Ashwath Rajan; Yiwen Huang; Hatim Diab; Ashish Tomar; Ronald J. Wapner (MLHC, 2016)

Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison. - Faiza Khan Khattak; Ansaf Salleb-Aouissi (CoRR, 2016)

Multiple instance learning for predicting necrotizing enterocolitis in premature infants using microbiome data. - Thomas Hooven; Yun Chao Lin; Ansaf Salleb-Aouissi (CHIL, 2020)

A Weighted Solution to SVM Actionability and Interpretability. - Samuel Marc Denton; Ansaf Salleb-Aouissi (CoRR, 2020)

Automated Symbolic Law Discovery: A Computer Vision Approach. - Hengrui Xing; Ansaf Salleb-Aouissi; Nakul Verma (AAAI, 2021)

Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota. - Yun Chao Lin; Ansaf Salleb-Aouissi; Thomas Hooven (BMC Bioinform., 2022)

Counterfactual Explanations for Support Vector Machine Models. - Sebastian Salazar; Samuel Denton; Ansaf Salleb-Aouissi (CoRR, 2022)

Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned. - Uzay Macar; Blake Castleman; Noah Mauchly; Michael Jiang; Asma Aouissi; Salma Aouissi; Xena Maayah; Kaan Erdem; Rohith Ravindranath; Andrea Clark-Sevilla; Ansaf Salleb-Aouissi (CoRR, 2023)

A LUPI distillation-based approach: Application to predicting Proximal Junctional Kyphosis. - Yun Chao Lin; Andrea Clark-Sevilla; Rohith Ravindranath; Fthimnir Hassan; Justin Reyes; Joseph Lombardi; Lawrence G. Lenke; Ansaf Salleb-Aouissi (MLHC, 2024)

M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values. - Adam Catto; Nan Jia; Ansaf Salleb-Aouissi; Anita Raja (CoRR, 2024)

Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels. - Blake Castleman; Uzay Macar; Ansaf Salleb-Aouissi (CoRR, 2024)

Handling Uncertainty in Health Data using Generative Algorithms. - Mahdi Arab Loodaricheh; Neh Majmudar; Anita Raja; Ansaf Salleb-Aouissi (CoRR, 2025)

LogicLearner: A Tool for the Guided Practice of Propositional Logic Proofs. - Amogh Inamdar; Uzay Macar; Michel Vazirani; Michael Tarnow; Zarina Mustapha; Natalia Dittren; Sam Sadeh; Nakul Verma; Ansaf Salleb-Aouissi (CoRR, 2025)