Marc Plantevit

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 50

Top Venues

EGC

CoRR

Data Min. Knowl. Discov.

DSAA

Montpellier 2 University, France (PHD)

Education History

Montpellier 2 University, France

PHD

Publications

Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet
Electricity Price Forecasting based on Order Books: a differentiable optimization approach. DSAA (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)
Maëlle Moranges, Marc Plantevit, Moustafa Bensafi
Using Subgroup Discovery to Relate Odor Pleasantness and Intensity to Peripheral Nervous System Reactions. IEEE Trans. Affect. Comput. 14 (3) (2023)
Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet
Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. IDA (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 (2023)
Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller
Methods for explaining Top-N recommendations through subgroup discovery. Data Min. Knowl. Discov. 37 (2) (2023)
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN. EGC (2022)
Pierre Duluard, Xinqing Li, Marc Plantevit, Céline Robardet, Romain Vuillemot
Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery. MLSA@PKDD/ECML (2022)
Ataollah Kamal, Elouan Vincent, Marc Plantevit, Céline Robardet
Improving the Quality of Rule-Based GNN Explanations. PKDD/ECML Workshops (1) (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)
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
In pursuit of the hidden features of GNN's internal representations. Data Knowl. Eng. 142 (2022)
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
What Does My GNN Really Capture? On Exploring Internal GNN Representations. IJCAI (2022)
Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA (2021)
Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR (2021)
Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia
User-Driven Geolocated Event Detection in Social Media. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
Sequential recommendation with metric models based on frequent sequences. Data Min. Knowl. Discov. 35 (3) (2021)
Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller
Why Should I Trust This Item? Explaining the Recommendations of any Model. DSAA (2020)
Adnene Belfodil, Sylvie Cazalens, Philippe Lamarre, Marc Plantevit
Identifying exceptional (dis)agreement between groups. Data Min. Knowl. Discov. 34 (2) (2020)
Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Gibbs Sampling Subjectively Interesting Tiles. IDA (2020)
Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
SIAS-miner: mining subjectively interesting attributed subgraphs. Data Min. Knowl. Discov. 34 (2) (2020)
Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
Sequential recommendation with metric models based on frequent sequences. CoRR (2020)
Mohamed-Ali Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet
Rank correlated subgroup discovery. J. Intell. Inf. Syst. 53 (2) (2019)
Mohamed-Ali Hammal, Céline Robardet, Marc Plantevit
Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles. EGC (2019)
Corentin Lonjarret, Marc Plantevit, Céline Robardet, Roch Auburtin
Recommandation séquentielle à base de séquences fréquentes. EGC (2019)
Charles de Lacombe, Antoine Morel, Adnene Belfodil, François Portet, Cyril Labbé, Sylvie Cazalens, Marc Plantevit, Philippe Lamarre
Analyse de comportements relatifs exceptionnels expliquée par des textes : les votes du parlement européen. EGC (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)
Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Contrastive Antichains in Hierarchies. KDD (2019)
Adnene Belfodil, Wouter Duivesteijn, Marc Plantevit, Sylvie Cazalens, Philippe Lamarre
DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups. ECML/PKDD (1) (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)
Mohamed-Ali Hammal, Bernardo Abreu, Marc Plantevit, Céline Robardet
Sampling Rank Correlated Subgroups. DCAI (2019)
Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Mining Subjectively Interesting Attributed Subgraphs. CoRR (2019)
Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet
Mining exceptional closed patterns in attributed graphs. Knowl. Inf. Syst. 56 (1) (2018)
Maëlle Moranges, Marc Plantevit, Arnaud P. Fournel, Moustafa Bensafi, Céline Robardet
Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept. DS (2018)
Adnene Belfodil, Sylvie Cazalens, Philippe Lamarre, Marc Plantevit
Flash Points: Discovering Exceptional Pairwise Behaviors in Vote or Rating Data. ECML/PKDD (2) (2017)
Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet
Exceptional contextual subgraph mining. Mach. Learn. 106 (8) (2017)
Ahmed Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet
Contextual Subgraph Discovery with Mobility Models. COMPLEX NETWORKS (2017)
Willy Ugarte, Patrice Boizumault, Bruno Crémilleux, Alban Lepailleur, Samir Loudni, Marc Plantevit, Chedy Raïssi, Arnaud Soulet
Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems. Artif. Intell. 244 (2017)
Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue
h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience. ECML/PKDD (3) (2016)
Marc Plantevit, Céline Robardet, Vasile-Marian Scuturici
Graph dependency construction based on interval-event dependencies detection in data streams. Intell. Data Anal. 20 (2) (2016)
Aimene Belfodil, Mehdi Kaytoue, Céline Robardet, Marc Plantevit, Julien Zarka
Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne. EGC (2016)
Jean-François Boulicaut, Marc Plantevit, Céline Robardet
Local Pattern Detection in Attributed Graphs. Solving Large Scale Learning Tasks (2016)
Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit, Jean-François Boulicaut, Mehdi Kaytoue
Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships. DS (2016)
Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. ICDM (2016)
Peggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jirí Kléma, Jean-Luc Manguin
Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts. J. Biomed. Semant. 6 (2015)
Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Profiling Users of the Velo'v Bike Sharing System. MUD@ICML (2015)
Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
Interpreting communities based on the evolution of a dynamic attributed network. Soc. Netw. Anal. Min. 5 (1) (2015)
Guillaume Bosc, Mehdi Kaytoue, Marc Plantevit, Fabien De Marchi, Moustafa Bensafi, Jean-François Boulicaut
Vers la découverte de modèles exceptionnels locaux : des règles descriptives liant les molécules à leurs odeurs. EGC (2015)
Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet
Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. ECML/PKDD (3) (2015)
Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
Interpreting communities based on the evolution of a dynamic attributed network. CoRR (2015)
Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet
What effects topological changes in dynamic graphs? - Elucidating relationships between vertex attributes and the graph structure. Soc. Netw. Anal. Min. 5 (1) (2015)
Pierre-Nicolas Mougel, Christophe Rigotti, Marc Plantevit, Olivier Gandrillon
Finding maximal homogeneous clique sets. Knowl. Inf. Syst. 39 (3) (2014)
Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
A method for characterizing communities in dynamic attributed complex networks. ASONAM (2014)
Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet
Triggering patterns of topology changes in dynamic graphs. ASONAM (2014)
Elise Desmier, Marc Plantevit, Jean-François Boulicaut
Granularité des motifs de co-variations dans des graphes attribués dynamiques. EGC (2014)
Marc Plantevit, Vasile-Marian Scuturici, Céline Robardet
Temporal Dependency Detection Between Interval-Based Event Sequences. NFMCP (2014)
Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
A Method for Characterizing Communities in Dynamic Attributed Complex Networks. CoRR (2014)
Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. EGC (2014)
Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Granularity of Co-evolution Patterns in Dynamic Attributed Graphs. IDA (2014)
Pierre Holat, Marc Plantevit, Chedy Raïssi, Nadi Tomeh, Thierry Charnois, Bruno Crémilleux
Sequence Classification Based on Delta-Free Sequential Patterns. ICDM (2014)
Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. CoRR (2013)
Céline Robardet, Vasile-Marian Scuturici, Marc Plantevit, Antoine Fraboulet
When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations. KDD (2013)
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut
Discovering descriptive rules in relational dynamic graphs. Intell. Data Anal. 17 (1) (2013)
Adriana Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors. IEEE Trans. Knowl. Data Eng. 25 (9) (2013)
Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Trend Mining in Dynamic Attributed Graphs. ECML/PKDD (1) (2013)
Adriana Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué. EGC (2012)
Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. Discovery Science (2012)
Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. ICDM Workshops (2012)
Kim-Ngan Nguyen, Marc Plantevit, Jean-François Boulicaut
Mining Disjunctive Rules in Dynamic Graphs. RIVF (2012)
Arnaud Soulet, Chedy Raïssi, Marc Plantevit, Bruno Crémilleux
Mining Dominant Patterns in the Sky. ICDM (2011)
Marc Plantevit, Chedy Raïssi, Bruno Crémilleux
Motifs séquentiels delta-libres. EGC (2011)
Arnaud Soulet, Bruno Crémilleux, Marc Plantevit
Summarizing Contrasts by Recursive Pattern Mining. ICDM Workshops (2011)
Pierre-Nicolas Mougel, Marc Plantevit, Christophe Rigotti, Olivier Gandrillon, Jean-François Boulicaut
Extraction sous contraintes d'ensembles de cliques homogènes. EGC (2011)
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut
Multidimensional Association Rules in Boolean Tensors. SDM (2011)
Peggy Cellier, Thierry Charnois, Marc Plantevit
Sequential Patterns to Discover and Characterise Biological Relations. CICLing (2010)
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut
Discovering Inter-Dimensional Rules in Dynamic Graphs. NyNaK (2010)
Peggy Cellier, Thierry Charnois, Marc Plantevit, Bruno Crémilleux
Recursive Sequence Mining to Discover Named Entity Relations. IDA (2010)
Marc Plantevit, Anne Laurent, Dominique Laurent, Maguelonne Teisseire, Yeow Wei Choong
Mining multidimensional and multilevel sequential patterns. ACM Trans. Knowl. Discov. Data 4 (1) (2010)
Yoann Pitarch, Anne Laurent, Marc Plantevit, Pascal Poncelet
Fenêtres sur cube. Ingénierie des Systèmes d Inf. 15 (1) (2010)
Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux
Sequential Data Mining for Information Extraction from Texts. Trait. Autom. des Langues 50 (3) (2009)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Mining convergent and divergent sequences in multidimensional data. Int. J. Bus. Intell. Data Min. 4 (3/4) (2009)
Marc Plantevit, Thierry Charnois, Jirí Kléma, Christophe Rigotti, Bruno Crémilleux
Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern. Int. J. Data Min. Model. Manag. 1 (2) (2009)
Marc Plantevit, Bruno Crémilleux
Condensed Representation of Sequential Patterns According to Frequency-Based Measures. IDA (2009)
Yoann Pitarch, Anne Laurent, Marc Plantevit, Pascal Poncelet
Multidimensional Data Stream Summarization Using Extended Tilted-Time Windows. AINA Workshops (2009)
Marc Plantevit, Thierry Charnois
Motifs séquentiels pour l'extraction d'information : illustration sur le problème de la détection d'interactions entre gènes. TALN (Articles longs) (2009)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies. DaWaK (2008)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Motifs séquentiels multidimensionnels et mesure. Différentes techniques pour calculer le support. Ingénierie des Systèmes d Inf. 13 (6) (2008)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Extraction de Motifs Séquentiels Multidimensionnels Clos sans Gestion d'Ensemble de Candidats. EGC (2008)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Fouille de Données Multidimensionnelles : Différentes Stratégies pour Prendre en Compte la Mesure. EDA (2008)
Chedy Raïssi, Marc Plantevit
Mining Multidimensional Sequential Patterns over Data Streams. DaWaK (2008)
Marc Plantevit, Sabine Goutier, Françoise Guisnel, Anne Laurent, Maguelonne Teisseire
Mining unexpected multidimensional rules. DOLAP (2007)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Extraction de séquences multidimensionnelles convergentes et divergentes. EGC (2007)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Extraction d'outliers dans des cubes de données : une aide à la navigation. EDA (2007)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
HYPE: mining hierarchical sequential patterns. DOLAP (2006)
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Hype : Prise en compte des hiérarchies lors de l'extraction de motifs séquentiels multidimensionnels. EDA (2006)
Marc Plantevit, Yeow Wei Choong, Anne Laurent, Dominique Laurent, Maguelonne Teisseire
SP: Mining Sequential Patterns Among Several Dimensions. PKDD (2005)
Marc Plantevit, Yeow Wei Choong, Anne Laurent, Dominique Laurent, Maguelonne Teisseire
Motifs séquentiels multidimensionnels étoilés. BDA (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marc Plantevit