Marc Plantevit

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Identifiants chercheurs

marc-plantevit
0000-0003-4636-5753
IdRef : 125705328

Présentation

français
anglais

Publications

celine-robardet

	Methods for explaining Top-N recommendations through subgroup discovery Mouloud Iferroudjene , Corentin Lonjarret , Céline Robardet , Marc Plantevit , Martin Atzmueller Data Mining and Knowledge Discovery, 2023, 37 (2), pp.833-872. ⟨10.1007/s10618-022-00897-2⟩ Article dans une revue hal-03845678v1
	On GNN explanability with activation rules Luca Veyrin-Forrer , Ataollah Kamal , Stefan Duffner , Marc Plantevit , Céline Robardet Data Mining and Knowledge Discovery, 2022, ⟨10.1007/s10618-022-00870-z⟩ Article dans une revue hal-03821784v1
	Electricity price forecasting on the day-ahead market using machine learning Léonard Tschora , Erwan Pierre , Marc Plantevit , Céline Robardet Applied Energy, 2022, 313, pp.118752. ⟨10.1016/j.apenergy.2022.118752⟩ Article dans une revue hal-03621974v1
	User-driven geolocated event detection in social media Anes Bendimerad , Marc Plantevit , Céline Robardet , Sihem Amer-Yahia IEEE Transactions on Knowledge and Data Engineering, 2021, 33 (2), pp.796-809. ⟨10.1109/TKDE.2019.2931340⟩ Article dans une revue hal-02272082v1
	Sequential recommendation with metric models based on frequent sequences Corentin Lonjarret , Roch Auburtin , Céline Robardet , Marc Plantevit Data Mining and Knowledge Discovery, 2021, ⟨10.1007/s10618-021-00744-w⟩ Article dans une revue hal-03191177v1
	SIAS-miner: mining subjectively interesting attributed subgraphs Anes Bendimerad , Ahmad Mel , Jefrey Lijffijt , Marc Plantevit , Céline Robardet Data Mining and Knowledge Discovery, inPress, 34 (2), pp.355-393. ⟨10.1007/s10618-019-00664-w⟩ Article dans une revue hal-02378174v1
	Chemical features mining provides new descriptive structure-odor relationships Carmen Licón , Guillaume Bosc , Mohammed Sabri , Marylou Mantel , Arnaud Fournel PLoS Computational Biology, 2019, 15 (4), pp.e1006945. ⟨10.1371/journal.pcbi.1006945⟩ Article dans une revue hal-02343686v1
	Rank correlated subgroup discovery Mohamed Ali Hammal , Hélène Mathian , Luc Merchez , Marc Plantevit , Céline Robardet Journal of Intelligent Information Systems, 2019, ⟨10.1007/s10844-019-00555-y⟩ Article dans une revue hal-02093496v1
	Mining exceptional closed patterns in attributed graphs Anes Bendimerad , Marc Plantevit , Céline Robardet Knowledge and Information Systems (KAIS), 2018, 56 (1), pp.1 - 25. ⟨10.1007/s10115-017-1109-2⟩ Article dans une revue hal-01625007v1
	Exceptional contextual subgraph mining Mehdi Kaytoue , Marc Plantevit , Albrecht Zimmermann , Anes Bendimerad , Céline Robardet Machine Learning, 2017, 106 (08), pp.1171--1211. ⟨10.1007/s10994-016-5598-0⟩ Article dans une revue hal-01488732v2
	Graph Dependency Construction Based on Interval-based Event Dependencies Detection in Data Streams Marc Plantevit , Céline Robardet , Vasile-Marian Scuturici Intelligent Data Analysis, 2016, 20(2), pp.223--256. ⟨10.3233/IDA-160803⟩ Article dans une revue hal-01130544v1
	What effects topological changes in dynamic graphs? Mehdi Kaytoue , Yoann Pitarch , Marc Plantevit , Céline Robardet Social Network Analysis and Mining, 2015, 5 (55), pp.55:1--55:17. ⟨10.1007/s13278-015-0294-9⟩ Article dans une revue hal-01221698v1
	Mining Graph Topological Patterns: Finding Co-variations among Vertex Descriptors Adriana Bechara Prado , Marc Plantevit , Céline Robardet , Jean-François Boulicaut IEEE Transactions on Knowledge and Data Engineering, 2013, 9, 25, pp.2090-2104. ⟨10.1109/TKDE.2012.154⟩ Article dans une revue hal-01351727v1

	Forecasting Electricity Prices: An Optimize Then Predict-Based Approach Léonard Tschora , Erwan Pierre , Marc Plantevit , Céline Robardet Intelligent Data Analysis 2023, Apr 2023, Louvain-la_Neuve, Belgium. pp.446-458, ⟨10.1007/978-3-031-30047-9_35⟩ Communication dans un congrès hal-04114222v1
	Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN Luca Veyrin-Forrer , Ataollah Kamal , Stefan Duffner , Marc Plantevit , Céline Robardet Extraction et Gestion des Connaissances (EGC 2022), Jan 2022, Blois, France. pp.159-170 Communication dans un congrès hal-03921033v1
	What Does My GNN Really Capture? On Exploring Internal GNN Representations Luca Veyrin-Forrer , Ataollah Kamal , Stefan Duffner , Marc Plantevit , Céline Robardet International Joint Conference on Artificial Intelligence 2022, Jul 2022, Vienna, Austria Communication dans un congrès hal-03700710v1
	Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents Youcef Remil , Anes Bendimerad , Marc Plantevit , Céline Robardet , Mehdi Kaytoue Extraction et Gestion des Connaissances (EGC'2022), Jan 2022, Blois, France Communication dans un congrès hal-03627854v1
	Gibbs Sampling Subjectively Interesting Tiles Anes Bendimerad , Jefrey Lijffijt , Marc Plantevit , Céline Robardet , Tijl de Bie Advances in Intelligent Data Analysis {XVIII} - 18th International Symposium on Intelligent Data Analysis (IDA 2020), Apr 2020, Konstanz (on line), Germany. ⟨10.1007/978-3-030-44584-3_7⟩ Communication dans un congrès hal-02960847v1
	Why Should I Trust This Item? Explaining the Recommendations of any Model Corentin Lonjarret , Céline Robardet , Marc Plantevit , Roch Auburtin , Martin Atzmueller IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2020, Sydney, Australia. ⟨10.1109/DSAA49011.2020.00067⟩ Communication dans un congrès hal-02965196v1
	FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery Adnene Belfodil , Aimene Belfodil , Anes Bendimerad , Philippe Lamarre , Céline Robardet IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States. ⟨10.1109/DSAA.2019.00023⟩ Communication dans un congrès hal-02355503v1
	Contrastive antichains in hierarchies Anes Bendimerad , Jefrey Lijffijt , Marc Plantevit , Céline Robardet , Tijl de Bie SIGKDD 2019, Aug 2019, Anchorage, Alaska, United States. pp.294:304, ⟨10.1145/3292500.3330954⟩ Communication dans un congrès hal-02114775v1
	Recommandation séquentielle à base de séquences fréquentes Corentin Lonjarret , Marc Plantevit , Céline Robardet , Roch Auburtin Extraction et Gestion des Connaissances (EGC), Jan 2019, Metz, France Communication dans un congrès hal-02914391v1
	Mining Subjectively Interesting Attributed Subgraphs Anes Bendimerad , Ahmad Mel , Jefrey Lijffijt , Marc Plantevit , Céline Robardet INTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS, held with SIGKDD 2018, Aug 2018, Londres, United Kingdom Communication dans un congrès hal-02060190v1
	Exceptional Attributed Subgraph Mining To Understand The Olfactory Percept Maëlle Moranges , Marc Plantevit , Arnaud Fournel , Moustafa Bensafi , Céline Robardet 21st International Conference on Discovery Science, Oct 2018, Limassol, Cyprus. pp.276--291 Communication dans un congrès hal-01878375v1
	Contextual Subgraph Discovery With Mobility Models Anes Bendimerad , Rémy Cazabet , Marc Plantevit , Céline Robardet COMPLEX NETWORKS 2017, Nov 2017, Lyon, France. pp.477-489 Communication dans un congrès hal-01625068v1
	Unsupervised Exceptional Attributed Sub-graph Mining in Urban Data Anes Bendimerad , Marc Plantevit , Céline Robardet IEEE International Conference on Data Mining (ICDM 2016), Dec 2016, Barcelone, Spain. pp.21-30 Communication dans un congrès hal-01430622v1
	Local subgroup discovery for eliciting and understanding new structure-odor relationships Guillaume Bosc , Jérôme Golebiowski , Moustafa Bensafi , Céline Robardet , Marc Plantevit Discovery Science: 19th International Conference, DS 2016, Oct 2016, Bari, Italy. pp.19-34, ⟨10.1007/978-3-319-46307-0_2⟩ Communication dans un congrès hal-01346660v1
	Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne Aimene Belfodil , Mehdi Kaytoue , Céline Robardet , Marc Plantevit , Julien Zarka 16ème Journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.63-68 Communication dans un congrès hal-01265204v1
	Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams Houdyer Pierre , Albrecht Zimmermann , Mehdi Kaytoue , Marc Plantevit , Joseph Mitchell European Conference on Machine Learning and Knowledge Discovery in Databases, 2015, Porto, Portugal. pp.276-280, ⟨10.1007/978-3-319-23461-8_29⟩ Communication dans un congrès hal-01193030v1
	Profiling users of the Vélo 'v bike sharing system Albrecht Zimmermann , Mehdi Kaytoue , Marc Plantevit , Céline Robardet , Jean-François Boulicaut 2nd International Workshop on Mining Urban Data (MUD), Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik,Gennady L. Andrienko, Shie Mannor, Jul 2015, Lille, France. pp.63-64 Communication dans un congrès hal-01193017v1
	Temporal Dependency Detection Between Interval-Based Event Sequences Marc Plantevit , Vasile-Marian Scuturici , Céline Robardet New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP, Held in Conjunction with ECML-PKDD, Nancy, France, Revised Selected Papers, Sep 2014, Nancy, France. pp.132--146 Communication dans un congrès hal-01979495v1
	Triggering Patterns of Topology Changes in Dynamic Graphs Mehdi Kaytoue , Yoann Pitarch , Marc Plantevit , Céline Robardet The 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2014, Beijing, China, China. pp.55:1--55:17, ⟨10.1109/ASONAM.2014.6921577⟩ Communication dans un congrès hal-01301075v1
	Granularity of co-Evolution Patterns in Dynamic Attributed Graphs Elise Desmier , Marc Plantevit , Céline Robardet , Jean-François Boulicaut The Thirteenth International Symposium on Intelligent Data Analysis IDA 2014, Oct 2014, Leuven, Belgium. pp.84-95 Communication dans un congrès hal-01301086v1
	Trend Mining in Dynamic Attributed Graphs Elise Desmier , Marc Plantevit , Céline Robardet , Jean-François Boulicaut Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Sep 2013, Prague, Czech Republic. pp.654-669, ⟨10.1007/978-3-642-40988-2_42⟩ Communication dans un congrès hal-01339225v1
	When TEDDY meets GrizzLY: Temporal Dependency Discovery for Triggering Road Deicing Operations (Demo) Céline Robardet , Vasile-Marian Scuturici , Marc Plantevit , Antoine Fraboulet KDD, Aug 2013, Chicago, IL, United States. pp.1490-1493 ⟨10.1145/2487575.2487706⟩ Communication dans un congrès hal-01339189v1
	Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué. Adriana Bechara Prado , Marc Plantevit , Céline Robardet , Jean-François Boulicaut Actes Extraction et Gestion de Connaissances EGC'12, Jan 2012, Bordeaux, France. pp.267-278 Communication dans un congrès hal-01352957v1
	Cohesive Co-Evolution Patterns in Dynamic Attributed Graphs Elise Desmier , Marc Plantevit , Céline Robardet , Jean-François Boulicaut Discovery Science - 15th International Conference (DS 2012), Oct 2012, Lyon France. pp.110-124, ⟨10.1007/978-3-642-33492-4_11⟩ Communication dans un congrès hal-01353051v1

	Local Pattern Detection in Attributed Graphs Jean-François Boulicaut , Marc Plantevit , Céline Robardet Solving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, pp.168-183, 2016, ⟨10.1007/978-3-319-41706-6_8⟩ Chapitre d'ouvrage hal-02016506v1

	Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery Pierre Duluard , Xinqing Li , Marc Plantevit , Céline Robardet , Romain Vuillemot ECML/PKDD 2022 Workshop, Grenoble, France, 2022 Autre publication scientifique hal-03768114v1

Marc Plantevit

Présentation

Publications

Methods for explaining Top-N recommendations through subgroup discovery

On GNN explanability with activation rules

Electricity price forecasting on the day-ahead market using machine learning

User-driven geolocated event detection in social media

Sequential recommendation with metric models based on frequent sequences

SIAS-miner: mining subjectively interesting attributed subgraphs

Chemical features mining provides new descriptive structure-odor relationships

Rank correlated subgroup discovery

Mining exceptional closed patterns in attributed graphs

Exceptional contextual subgraph mining

Graph Dependency Construction Based on Interval-based Event Dependencies Detection in Data Streams

What effects topological changes in dynamic graphs?

Mining Graph Topological Patterns: Finding Co-variations among Vertex Descriptors

Forecasting Electricity Prices: An Optimize Then Predict-Based Approach

Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN

What Does My GNN Really Capture? On Exploring Internal GNN Representations

Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents

Gibbs Sampling Subjectively Interesting Tiles

Why Should I Trust This Item? Explaining the Recommendations of any Model

FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery

Contrastive antichains in hierarchies

Recommandation séquentielle à base de séquences fréquentes

Mining Subjectively Interesting Attributed Subgraphs

Exceptional Attributed Subgraph Mining To Understand The Olfactory Percept

Contextual Subgraph Discovery With Mobility Models

Unsupervised Exceptional Attributed Sub-graph Mining in Urban Data

Local subgroup discovery for eliciting and understanding new structure-odor relationships

Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams

Profiling users of the Vélo 'v bike sharing system

Temporal Dependency Detection Between Interval-Based Event Sequences

Triggering Patterns of Topology Changes in Dynamic Graphs

Granularity of co-Evolution Patterns in Dynamic Attributed Graphs

Trend Mining in Dynamic Attributed Graphs

When TEDDY meets GrizzLY: Temporal Dependency Discovery for Triggering Road Deicing Operations (Demo)

Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué.

Cohesive Co-Evolution Patterns in Dynamic Attributed Graphs

Local Pattern Detection in Attributed Graphs

Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery