Supervised Pre-processings Are Useful for Supervised Clustering. - Oumaima Alaoui Ismaili; Vincent Lemaire 001; Antoine Cornuéjols (ECDA, 2014)

A Supervised Methodology to Measure the Variables Contribution to a Clustering. - Oumaima Alaoui Ismaili; Vincent Lemaire 001; Antoine Cornuéjols (ICONIP (1), 2014)

An initialization scheme for supervized K-means. - Vincent Lemaire 001; Oumaima Alaoui Ismaili; Antoine Cornuéjols (IJCNN, 2015)

Une méthode supervisée pour initialiser les centres des K-moyennes. - Oumaima Alaoui Ismaili; Vincent Lemaire 001; Antoine Cornuéjols (EGC, 2016)

Clustering prédictif Décrire et prédire simultanément. (Predictive clustering Describe and predict simultaneously). - Oumaima Alaoui Ismaili (2016)

Un critère d'évaluation pour les K-moyennes prédictives. - Oumaima Alaoui Ismaili; Vincent Lemaire 001; Antoine Cornuéjols (EGC, 2017)

Apport des modèles locaux pour les K-moyennes prédictives. - Vincent Lemaire 001; Oumaima Alaoui Ismaili (EGC, 2018)

Emails Analysis for Business Process Discovery. - Nassim Laga; Marwa Elleuch; Walid Gaaloul; Oumaima Alaoui Ismaili (ATAED@Petri Nets/ACSD, 2019)

A Meta Model for Mining Processes from Email Data. - Marwa Elleuch; Nour Assy; Nassim Laga; Walid Gaaloul; Oumaima Alaoui Ismaili; Boualem Benatallah (SCC, 2020)

Discovering Activities from Emails Based on Pattern Discovery Approach. - Marwa Elleuch; Oumaima Alaoui Ismaili; Nassim Laga; Walid Gaaloul; Boualem Benatallah (BPM (Forum), 2020)

Discovery of Activities' Actor Perspective from Emails based on Speech Acts Detection. - Marwa Elleuch; Oumaima Alaoui Ismaili; Nassim Laga; Nour Assy; Walid Gaaloul (ICPM, 2020)

Discovering Business Processes And Activities From Messaging Systems: State-Of-The Art. - Marwa Elleuch; Nassim Laga; Oumaima Alaoui Ismaili; Walid Gaaloul (WETICE, 2020)

Predictive K-means with local models. - Vincent Lemaire 001; Oumaima Alaoui Ismaili; Antoine Cornuéjols; Dominique Gay (CoRR, 2020)

Observing Road Freight Traffic from Mobile Network Signalling Data While Respecting Privacy and Business Confidentiality. - Rémy Scholler; Oumaïma Alaoui-Ismaïli; Jean-François Couchot; Eric Ballot; Denis Renaud (Privacy and Identity Management, 2021)

In-stream Probabilistic Cardinality Estimation for Bloom Filters. - Rémy Scholler; Jean-François Couchot; Oumaima Alaoui Ismaili; Denis Renaud; Eric Ballot (CoRR, 2022)

Deep Dive Survey Miner. - Marwa Elleuch; Oumaima Alaoui Ismaili; Philippe Legay (CoopIS (Demos), 2023)

Activity Discovery Tool From Unstructured Data To Enhance Process Mining. - Marwa Elleuch; Christophe Maillard; Olivier Graille; Sonia Laurent; Oumaima Alaoui Ismaili; Philippe Legay (ICPM Doctoral Consortium / Demo, 2023)

Multi-perspective business process discovery from messaging systems: State-of-the art. - Marwa Elleuch; Nassim Laga; Oumaima Alaoui Ismaili; Walid Gaaloul (Concurr. Comput. Pract. Exp., 2023)

Process fragments discovery from emails: Functional, data and behavioral perspectives discovery. - Marwa Elleuch; Oumaima Alaoui Ismaili; Nassim Laga; Walid Gaaloul (Inf. Syst., 2023)