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Lina Fahed
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2020 – today
- 2022
- [c8]Ikram Chraibi Kaadoud, Lina Fahed, Tian Tian, Yannis Haralambous, Philippe Lenca:
Automata-based Explainable Representation for a Complex System of Multivariate Times Series. KDIR 2022: 170-179 - 2021
- [c7]Ikram Chraibi Kaadoud, Lina Fahed, Philippe Lenca:
Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning. MRC@IJCAI 2021: 28-40
2010 – 2019
- 2019
- [c6]Lina Fahed, Philippe Lenca, Yannis Haralambous, Riwal Lefort, Marie-Laure Tallec:
Prédiction d'événements distants basée sur des règles séquentielles. EGC 2019: 309-314 - 2018
- [j1]Lina Fahed, Armelle Brun, Anne Boyer:
DEER: Distant and Essential Episode Rules for early prediction. Expert Syst. Appl. 93: 283-298 (2018) - 2016
- [b1]Lina Fahed:
Prédire et influencer l'apparition des événements dans une séquence complexe. (Predicting and influencing the appearance of events in a complex sequence). University of Lorraine, France, 2016 - 2015
- [c5]Lina Fahed, Armelle Brun, Anne Boyer:
Influencer Events in Episode Rules: A Way to Impact the Occurrence of Events. KES 2015: 527-536 - 2014
- [c4]Lina Fahed, Armelle Brun, Anne Boyer:
Extraction de règles d'épisodes minimales dans des séquences complexes. EGC 2014: 545-548 - [c3]Lina Fahed, Armelle Brun, Anne Boyer:
Efficient Discovery of Episode Rules with a Minimal Antecedent and a Distant Consequent. IC3K (Selected Papers) 2014: 3-18 - [c2]Lina Fahed, Armelle Brun, Anne Boyer:
Episode Rules Mining Algorithm for Distant Event Prediction. KDIR 2014: 5-13 - 2013
- [c1]Lina Fahed, Gabriel Frey, Julie Dawn Thompson, Nicolas Lachiche:
Classification multi-étiquettes pour l'alignement multiple de séquences protéiques. EGC 2013: 431-436
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