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JL
Jerry LONLAC KONLAC
Maître de Conférences
33
Documents
Affiliations actuelles
- 1076753
Identifiants chercheurs
- jerry-lonlac
- 0000-0003-3278-9969
- Google Scholar : https://scholar.google.fr/citations?user=j_H75U8AAAAJ
Présentation
My scientific work relates to Artificial Intelligence including Data Mining, Machine Learning, Explainability and Boolean Satisfiability (SAT).
Domaines de recherche
Intelligence artificielle [cs.AI]
Apprentissage [cs.LG]
Compétences
Recherche scientifique
Fouille de données
Apprentissage machine
Explicabilité
Solveurs de contraintes
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Extracting frequent gradual patterns based on SAT12th International Conference on Data Science, Technology and Applications (DATA ), Jul 2023, Rome, Italy. pp.136-143, ⟨10.5220/0012126000003541⟩
Communication dans un congrès
hal-04343730v1
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A Comprehensive Analysis on Associative Classification in Building Maintenance DatasetsThe 36th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Jul 2023, Shanghai, China. pp.45-58, ⟨10.1007/978-3-031-36822-6_4⟩
Communication dans un congrès
hal-04286180v1
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Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets MiningInternational Conference on Big Data Analytics and Knowledge Discovery, Aug 2023, Penang, Malaysia. pp.107-113, ⟨10.1007/978-3-031-39831-5_10⟩
Communication dans un congrès
hal-04280311v1
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Une approche basée sur les motifs graduels pour la recommandation dans un contexte de consommation répétéeExtraction et Gestion des Connaissances (EGC) 2022, Jan 2022, Blois, France. pp.265-272
Communication dans un congrès
hal-04323286v1
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GPoID: Extraction de Motifs Graduels pour les Bases de Données ImprécisesExtraction et Gestion des Connaissances: EGC'2021, Jan 2021, Montpellier, France
Communication dans un congrès
hal-03556823v1
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A constraint-based approach for enumerating gradual itemsetsICTAI 2021: 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Washington D.C (virtual), United States. pp.582-589, ⟨10.1109/ICTAI52525.2021.00093⟩
Communication dans un congrès
hal-03466372v1
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Extracting Frequent (Closed) Seasonal Gradual Patterns Using Closed Itemset Mining2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2021, Washington, United States. pp.1442-1448, ⟨10.1109/ICTAI52525.2021.00229⟩
Communication dans un congrès
hal-04063559v1
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Patterning Holocene lake dynamics and detecting human impacts as far back as Prehistory: palaeoecological and data mining key tools for eutrophic lake management..Quaternaire12 Paris 2020, Colloque Q12 sur le Quaternaire, Feb 2020, Aubervilliers, France
Communication dans un congrès
hal-03363079v1
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Patterning Holocene lake dynamics and detecting early Prehistoric human impacts: targets of an improved integration of multivariate ecological indicators thanks to the data mining approach.MedPalyno2019: The Mediterranean Palynological Societies Symposium 2019, Jul 2019, Bordeaux, France
Communication dans un congrès
hal-02556227v1
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Mining Gradual Itemsets Using Sequential Pattern Mining2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jun 2019, New Orleans, United States. pp.1-6, ⟨10.1109/FUZZ-IEEE.2019.8858864⟩
Communication dans un congrès
hal-03600347v1
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Patterning Holocene lake dynamics and detecting early Prehistoric human impacts: targets of an improved integration of multivariate ecological indicators thanks to the data mining approach.MEDPALYNO, The Mediterranean Palynological Societies Symposium, Jul 2019, Bordeaux, France
Communication dans un congrès
hal-02281598v1
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Combining multi-variate palaeoecological indicators and mining closed gradual patterns for refining past lake dynamics and the induced ecological legaciesInternational Conference on Ecological Sciences, SFEcologie 2018, Oct 2018, Rennes, France
Communication dans un congrès
hal-02176551v1
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Fouille de Motifs Graduels Fermés Fréquents Sous Contrainte de la TemporalitéExtraction et Gestion des Connaissances, 2018, Paris, France. pp.383--384
Communication dans un congrès
hal-02134343v1
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Une Approche d'Extraction de Motifs Graduels (Fermés) Fréquents Sous Contrainte de la Temporalitéconférence Extraction et Gestion des Connaissances (EGC), Jan 2017, Grenoble, France
Communication dans un congrès
hal-02103661v1
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Adding New Bi-Asserting Clauses For Faster Search in Modern SAT Solvers10th Symposium on Abstraction, Reformulation, and Approximation (SARA'13), 2013, Leavenworth, United States. pp.66-72
Communication dans un congrès
hal-00875416v1
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Intensification Search in Modern SAT Solvers8ièmes Journées Francophones de Programmation par Contraintes (JFPC'12), 2012, Toulouse, France. pp.156-159
Communication dans un congrès
hal-00869900v1
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Résolution Etendue par Substitution Dynamique des Fonctions BooléennesJFPC, May 2012, Toulouse, France
Communication dans un congrès
hal-00820039v1
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Intensification Search in Modern SAT Solvers15th International Conference on Theory and Applications of Satisfiability Testing (SAT'12), 2012, Trento, Italy. pp.491-492
Communication dans un congrès
hal-00865581v1
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Extending Resolution by Dynamic Substitution of Boolean Functions24th International Conference on Tools with Artificial Intelligence (ICTAI'12), 2012, Athens, Greece. pp.1029-1034
Communication dans un congrès
hal-00865574v1
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Intensification de la Recherche dans les Solveurs SAT ModernesJFPC, May 2012, Toulouse, France
Communication dans un congrès
hal-00820038v1
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Extraction d’itemsets graduels de haute utilitéExtraction et Gestion des Connaissances (EGC) 2023., Jan 2023, Lyon, France. RNTI-E-39, pp.649-650, 2023
Poster de conférence
hal-04280714v1
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Mining Frequent Seasonal Gradual PatternsBig Data Analytics and Knowledge Discovery, 12393, Springer International Publishing, pp.197-207, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-59065-9_16⟩
Chapitre d'ouvrage
hal-03605626v1
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An Approach for Extracting Frequent (Closed) Gradual Patterns Under Temporal Constraint2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018
Chapitre d'ouvrage
hal-01924145v1
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An Interactive Platform for Extracting Gradual Patterns from Multivariate Temporal Data2021
Pré-publication, Document de travail
hal-03986063v2
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Mining Frequent Seasonal Gradual Patterns2020
Pré-publication, Document de travail
hal-02480657v1
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Towards Learned Clauses Database Reduction Strategies Based on Dominance Relationship2017
Pré-publication, Document de travail
hal-01478217v1
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On the power of top-k undominated learnt clauses for Modern SAT Solvers2017
Pré-publication, Document de travail
hal-01616563v1
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