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Author search results
Exact matches
- Mehdi Kaytoue-Uberall
aka: Mehdi Kaytoue
Institut National des Sciences Appliquées de Lyon (INSA Lyon)
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Publication search results
found 96 matches
- 2024
- Youcef Remil, Anes Bendimerad, Romain Mathonat, Chedy Raïssi, Mehdi Kaytoue:
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection. ICSE 2024: 198:1-198:12 - Youcef Remil, Anes Bendimerad, Romain Mathonat, Mehdi Kaytoue:
AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review. CoRR abs/2404.01363 (2024) - 2023
- Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue:
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. ICDM (Workshops) 2023: 1221-1230 - Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Three Views on Dependency Covers from an FCA Perspective. ICFCA 2023: 78-94 - Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Dependency Covers from an FCA Perspective. FCA4AI@IJCAI 2023: 57-68 - Anes Bendimerad, Youcef Remil, Romain Mathonat, Mehdi Kaytoue:
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report. ESEC/SIGSOFT FSE 2023: 1820-1831 - Anes Bendimerad, Youcef Remil, Romain Mathonat, Mehdi Kaytoue:
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report. CoRR abs/2308.11225 (2023) - Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue:
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. CoRR abs/2310.00781 (2023) - Youcef Remil, Anes Bendimerad, Romain Mathonat, Chedy Raïssi, Mehdi Kaytoue:
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection. CoRR abs/2310.06703 (2023) - 2022
- Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. EGC 2022: 411-418 - Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Computing Dependencies Using FCA. Complex Data Analytics with Formal Concept Analysis 2022: 135-150 - 2021
- Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
Anytime mining of sequential discriminative patterns in labeled sequences. Knowl. Inf. Syst. 63(2): 439-476 (2021) - Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
Anytime Subgroup Discovery in High Dimensional Numerical Data. DSAA 2021: 1-10 - Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA 2021: 1-10 - Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue:
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis. ASE 2021: 642-652 - Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR abs/2108.03013 (2021) - Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue:
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis. CoRR abs/2108.03906 (2021) - 2020
- Mehdi Kaytoue:
Contributions to Pattern Discovery and Formal Concept Analysis. INSA de Lyon, France, 2020 - Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On pattern setups and pattern multistructures. Int. J. Gen. Syst. 49(8): 785-818 (2020) - Romain Mathonat, Jean-François Boulicaut, Mehdi Kaytoue:
A Behavioral Pattern Mining Approach to Model Player Skills in Rocket League. CoG 2020: 267-274 - Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Building a Representation Context Based on Attribute Exploration Algorithms. FCA4AI@ECAI 2020: 141-152 - 2019
- Carmen C. Licon, Guillaume Bosc, Mohammed Sabri, Marylou Mantel, Arnaud P. Fournel, Caroline Bushdid, Jérôme Golebiowski, Céline Robardet, Marc Plantevit, Mehdi Kaytoue, Moustafa Bensafi:
Chemical features mining provides new descriptive structure-odor relationships. PLoS Comput. Biol. 15(4) (2019) - Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit:
FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. DSAA 2019: 91-99 - Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences. DSAA 2019: 81-90 - Romain Mathonat, Jean-François Boulicaut, Mehdi Kaytoue:
Découverte de sous-groupes à partir de données séquentielles par échantillonnage et optimisation locale. EGC 2019: 153-164 - Aimene Belfodil, Adnene Belfodil, Mehdi Kaytoue:
Mining Formal Concepts Using Implications Between Items. ICFCA 2019: 173-190 - Víctor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Sampling Representation Contexts with Attribute Exploration. ICFCA 2019: 307-314 - Nyoman Juniarta, Víctor Codocedo, Miguel Couceiro, Mehdi Kaytoue, Amedeo Napoli:
Pattern Structures for Identifying Biclusters with Coherent Sign Changes. ICFCA (Supplements) 2019: 1-13 - Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On Pattern Setups and Pattern Multistructures. CoRR abs/1906.02963 (2019) - 2018
- Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Characterizing approximate-matching dependencies in formal concept analysis with pattern structures. Discret. Appl. Math. 249: 18-27 (2018)
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