Marc Plantevit

117 papers A* 6A 3B 20C 3Misc 1Journal 39Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Interpretable Model for Multi-target Predictions with Ordinal Outputs. Mach. Learn. Arthur Batel, Marc Plantevit, Idir Benouaret, Céline Robardet
2026	—	`conf`	LogiX-Me: Logic-based Self-Explainable Message Passing GNN. EDBT/ICDT Workshops Simone Palumbo, Alessio Ragno, Roberto Capobianco, Marc Plantevit, Céline Robardet
2025	—	`conf`	A Subjective Pattern Mining Literature Survey. Challenges and Algorithms for Knowledge Discovery from Data Jean-François Boulicaut, Marc Plantevit, Céline Robardet
2025	B	`conf`	Diffusion for Explainable Unsupervised Anomaly Detection. DSAA Elouan Vincent, Alexandre Dréan, Julien Perez, Marc Plantevit, Céline Robardet
2025	B	`conf`	Explainability of Molecular Graph Neural Network. DSAA Ataollah Kamal, Matej Hladis, Jérémie Topin, Marc Plantevit, Sébastien Fiorucci, Céline Robardet
2025	—	`conf`	Faithful Explanations for Graph Classification Using Logic. ECML/PKDD (4) Alessio Ragno, Marc Plantevit, Céline Robardet
2025	J	`jnl`	Leveraging internal representations of GNNs with Shapley values. Data Min. Knowl. Discov. Ataollah Kamal, Alessio Ragno, Marc Plantevit, Céline Robardet
2025	J	`jnl`	SEANN: A Domain-Informed Neural Network for Epidemiological Insights. CoRR Jean-Baptiste Guimbaud, Marc Plantevit, Léa Maître, Rémy Cazabet
2024	A	`conf`	A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis. ECAI Arthur Batel, Idir Benouaret, Joan Fruitet, Marc Plantevit, Céline Robardet
2024	—	`conf`	DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization. ECML/PKDD (6) Thibaut Chataing, Julien Perez, Marc Plantevit, Céline Robardet
2024	J	`jnl`	On GNN explainability with activation rules. Data Min. Knowl. Discov. Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2024	J	`jnl`	On GNN explanability with activation rules. CoRR Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2024	B	`conf`	RPS: A Generic Reservoir Patterns Sampler. IEEE Big Data Lamine Diop, Marc Plantevit, Arnaud Soulet
2024	J	`jnl`	RPS: A Generic Reservoir Patterns Sampler. CoRR Lamine Diop, Marc Plantevit, Arnaud Soulet
2024	B	`conf`	Scalable Sampling for High Utility Patterns. IEEE Big Data Lamine Diop, Marc Plantevit
2024	J	`jnl`	Scalable Sampling for High Utility Patterns. CoRR Lamine Diop, Marc Plantevit
2024	A	`conf`	Transparent Explainable Logic Layers. ECAI Alessio Ragno, Marc Plantevit, Céline Robardet, Roberto Capobianco
2023	B	`conf`	Electricity Price Forecasting based on Order Books: a differentiable optimization approach. DSAA Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet
2023	B	`conf`	Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. IDA Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet
2023	—	`conf`	Game Theoretic Explanations for Graph Neural Networks. PKDD/ECML Workshops (3) Ataollah Kamal, Céline Robardet, Marc Plantevit
2023	J	`jnl`	Methods for explaining Top-N recommendations through subgroup discovery. Data Min. Knowl. Discov. Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller
2023	—	`conf`	Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. ICDM (Workshops) Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue
2023	J	`jnl`	Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. CoRR Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue
2023	J	`jnl`	Using Subgroup Discovery to Relate Odor Pleasantness and Intensity to Peripheral Nervous System Reactions. IEEE Trans. Affect. Comput. Maëlle Moranges, Marc Plantevit, Moustafa Bensafi
2022	—	`conf`	Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery. MLSA@PKDD/ECML Pierre Duluard, Xinqing Li, Marc Plantevit, Céline Robardet, Romain Vuillemot
2022	—	`conf`	Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. EGC Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
2022	—	`conf`	Improving the Quality of Rule-Based GNN Explanations. PKDD/ECML Workshops (1) Ataollah Kamal, Elouan Vincent, Marc Plantevit, Céline Robardet
2022	J	`jnl`	In pursuit of the hidden features of GNN's internal representations. Data Knowl. Eng. Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2022	—	`conf`	Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN. EGC Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2022	A*	`conf`	What Does My GNN Really Capture? On Exploring Internal GNN Representations. IJCAI Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2021	B	`conf`	Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
2021	J	`jnl`	Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
2021	J	`jnl`	Sequential recommendation with metric models based on frequent sequences. Data Min. Knowl. Discov. Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
2021	J	`jnl`	User-Driven Geolocated Event Detection in Social Media. IEEE Trans. Knowl. Data Eng. Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia
2020	B	`conf`	Gibbs Sampling Subjectively Interesting Tiles. IDA Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
2020	J	`jnl`	Identifying exceptional (dis)agreement between groups. Data Min. Knowl. Discov. Adnene Belfodil, Sylvie Cazalens, Philippe Lamarre, Marc Plantevit
2020	J	`jnl`	SIAS-miner: mining subjectively interesting attributed subgraphs. Data Min. Knowl. Discov. Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
2020	J	`jnl`	Sequential recommendation with metric models based on frequent sequences. CoRR Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
2020	B	`conf`	Why Should I Trust This Item? Explaining the Recommendations of any Model. DSAA Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller
2019	—	`conf`	Analyse de comportements relatifs exceptionnels expliquée par des textes : les votes du parlement européen. EGC Charles de Lacombe, Antoine Morel, Adnene Belfodil, François Portet, Cyril Labbé, Sylvie Cazalens, Marc Plantevit, Philippe Lamarre
2019	J	`jnl`	Chemical features mining provides new descriptive structure-odor relationships. PLoS Comput. Biol. Carmen C. Licon, Guillaume Bosc, Mohammed Sabri, Marylou Mantel, Arnaud P. Fournel, Caroline Bushdid, Jérôme Golebiowski, Céline Robardet, Marc Plantevit, Mehdi Kaytoue, Moustafa Bensafi
2019	A*	`conf`	Contrastive Antichains in Hierarchies. KDD Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
2019	—	`conf`	DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups. ECML/PKDD (1) Adnene Belfodil, Wouter Duivesteijn, Marc Plantevit, Sylvie Cazalens, Philippe Lamarre
2019	B	`conf`	FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. DSAA Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit
2019	J	`jnl`	Mining Subjectively Interesting Attributed Subgraphs. CoRR Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
2019	—	`conf`	Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles. EGC Mohamed-Ali Hammal, Céline Robardet, Marc Plantevit
2019	J	`jnl`	Rank correlated subgroup discovery. J. Intell. Inf. Syst. Mohamed-Ali Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet
2019	—	`conf`	Recommandation séquentielle à base de séquences fréquentes. EGC Corentin Lonjarret, Marc Plantevit, Céline Robardet, Roch Auburtin
2019	Misc	`conf`	Sampling Rank Correlated Subgroups. DCAI Mohamed-Ali Hammal, Bernardo A. Abreu, Marc Plantevit, Céline Robardet
2018	—	`book`	Contributions to Pattern Mining in Augmented Graphs. (Contributions à la découverte de motifs dans des graphes augmentés). Marc Plantevit
2018	B	`conf`	Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept. DS Maëlle Moranges, Marc Plantevit, Arnaud P. Fournel, Moustafa Bensafi, Céline Robardet
2018	J	`jnl`	Mining exceptional closed patterns in attributed graphs. Knowl. Inf. Syst. Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet
2017	—	`conf`	Contextual Subgraph Discovery with Mobility Models. COMPLEX NETWORKS Ahmed Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet
2017	J	`jnl`	Exceptional contextual subgraph mining. Mach. Learn. Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet
2017	—	`conf`	Flash Points: Discovering Exceptional Pairwise Behaviors in Vote or Rating Data. ECML/PKDD (2) Adnene Belfodil, Sylvie Cazalens, Philippe Lamarre, Marc Plantevit
2017	J	`jnl`	Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems. Artif. Intell. Willy Ugarte, Patrice Boizumault, Bruno Crémilleux, Alban Lepailleur, Samir Loudni, Marc Plantevit, Chedy Raïssi, Arnaud Soulet
2016	J	`jnl`	Graph dependency construction based on interval-event dependencies detection in data streams. Intell. Data Anal. Marc Plantevit, Céline Robardet, Vasile-Marian Scuturici
2016	—	`conf`	Local Pattern Detection in Attributed Graphs. Solving Large Scale Learning Tasks Jean-François Boulicaut, Marc Plantevit, Céline Robardet
2016	B	`conf`	Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships. DS Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit, Jean-François Boulicaut, Mehdi Kaytoue
2016	—	`conf`	Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne. EGC Aimene Belfodil, Mehdi Kaytoue, Céline Robardet, Marc Plantevit, Julien Zarka
2016	A*	`conf`	Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. ICDM Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet
2016	—	`conf`	h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience. ECML/PKDD (3) Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue
2015	—	`conf`	Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. ECML/PKDD (3) Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet
2015	J	`jnl`	Interpreting communities based on the evolution of a dynamic attributed network. CoRR Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
2015	J	`jnl`	Interpreting communities based on the evolution of a dynamic attributed network. Soc. Netw. Anal. Min. Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
2015	—	`conf`	Profiling Users of the Velo'v Bike Sharing System. MUD@ICML Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2015	J	`jnl`	Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts. J. Biomed. Semant. Peggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jirí Kléma, Jean-Luc Manguin
2015	—	`conf`	Vers la découverte de modèles exceptionnels locaux : des règles descriptives liant les molécules à leurs odeurs. EGC Guillaume Bosc, Mehdi Kaytoue, Marc Plantevit, Fabien De Marchi, Moustafa Bensafi, Jean-François Boulicaut
2015	J	`jnl`	What effects topological changes in dynamic graphs? - Elucidating relationships between vertex attributes and the graph structure. Soc. Netw. Anal. Min. Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet
2014	J	`jnl`	A Method for Characterizing Communities in Dynamic Attributed Complex Networks. CoRR Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
2014	B	`conf`	A method for characterizing communities in dynamic attributed complex networks. ASONAM Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
2014	J	`jnl`	Finding maximal homogeneous clique sets. Knowl. Inf. Syst. Pierre-Nicolas Mougel, Christophe Rigotti, Marc Plantevit, Olivier Gandrillon
2014	B	`conf`	Granularity of Co-evolution Patterns in Dynamic Attributed Graphs. IDA Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2014	—	`conf`	Granularité des motifs de co-variations dans des graphes attribués dynamiques. EGC Elise Desmier, Marc Plantevit, Jean-François Boulicaut
2014	A*	`conf`	Sequence Classification Based on Delta-Free Sequential Patterns. ICDM Pierre Holat, Marc Plantevit, Chedy Raïssi, Nadi Tomeh, Thierry Charnois, Bruno Crémilleux
2014	—	`conf`	Temporal Dependency Detection Between Interval-Based Event Sequences. NFMCP Marc Plantevit, Vasile-Marian Scuturici, Céline Robardet
2014	B	`conf`	Triggering patterns of topology changes in dynamic graphs. ASONAM Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet
2014	—	`conf`	Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. EGC Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
2013	J	`jnl`	Discovering descriptive rules in relational dynamic graphs. Intell. Data Anal. Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut
2013	J	`jnl`	Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors. IEEE Trans. Knowl. Data Eng. Adriana Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2013	—	`conf`	Trend Mining in Dynamic Attributed Graphs. ECML/PKDD (1) Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2013	J	`jnl`	Une méthode pour caractériser les communautés des réseaux dynamiques à attributs. CoRR Günce Keziban Orman, Vincent Labatut, Marc Plantevit, Jean-François Boulicaut
2013	A*	`conf`	When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations. KDD Céline Robardet, Vasile-Marian Scuturici, Marc Plantevit, Antoine Fraboulet
2012	B	`conf`	Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. Discovery Science Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2012	—	`conf`	Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué. EGC Adriana Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2012	—	`conf`	Mining Disjunctive Rules in Dynamic Graphs. RIVF Kim-Ngan Nguyen, Marc Plantevit, Jean-François Boulicaut
2012	—	`conf`	Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. ICDM Workshops Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2011	—	`conf`	Extraction sous contraintes d'ensembles de cliques homogènes. EGC Pierre-Nicolas Mougel, Marc Plantevit, Christophe Rigotti, Olivier Gandrillon, Jean-François Boulicaut
2011	A*	`conf`	Mining Dominant Patterns in the Sky. ICDM Arnaud Soulet, Chedy Raïssi, Marc Plantevit, Bruno Crémilleux
2011	—	`conf`	Motifs séquentiels delta-libres. EGC Marc Plantevit, Chedy Raïssi, Bruno Crémilleux
2011	A	`conf`	Multidimensional Association Rules in Boolean Tensors. SDM Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut
2011	—	`conf`	Summarizing Contrasts by Recursive Pattern Mining. ICDM Workshops Arnaud Soulet, Bruno Crémilleux, Marc Plantevit
2010	—	`conf`	Discovering Inter-Dimensional Rules in Dynamic Graphs. NyNaK Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut
2010	J	`jnl`	Fenêtres sur cube. Ingénierie des Systèmes d Inf. Yoann Pitarch, Anne Laurent, Marc Plantevit, Pascal Poncelet
2010	J	`jnl`	Mining multidimensional and multilevel sequential patterns. ACM Trans. Knowl. Discov. Data Marc Plantevit, Anne Laurent, Dominique Laurent, Maguelonne Teisseire, Yeow Wei Choong
2010	B	`conf`	Recursive Sequence Mining to Discover Named Entity Relations. IDA Peggy Cellier, Thierry Charnois, Marc Plantevit, Bruno Crémilleux
2010	C	`conf`	Sequential Patterns to Discover and Characterise Biological Relations. CICLing Peggy Cellier, Thierry Charnois, Marc Plantevit
2009	J	`jnl`	Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern. Int. J. Data Min. Model. Manag. Marc Plantevit, Thierry Charnois, Jirí Kléma, Christophe Rigotti, Bruno Crémilleux
2009	B	`conf`	Condensed Representation of Sequential Patterns According to Frequency-Based Measures. IDA Marc Plantevit, Bruno Crémilleux
2009	J	`jnl`	Mining convergent and divergent sequences in multidimensional data. Int. J. Bus. Intell. Data Min. Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2009	—	`conf`	Motifs séquentiels pour l'extraction d'information : illustration sur le problème de la détection d'interactions entre gènes. TALN (Articles longs) Marc Plantevit, Thierry Charnois
2009	—	`conf`	Multidimensional Data Stream Summarization Using Extended Tilted-Time Windows. AINA Workshops Yoann Pitarch, Anne Laurent, Marc Plantevit, Pascal Poncelet
2009	—	`ch.`	OLAP-Sequential Mining: Summarizing Trends from Historical. New Trends in Data Warehousing and Data Analysis Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2009	J	`jnl`	Sequential Data Mining for Information Extraction from Texts. Trait. Autom. des Langues Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux
2008	—	`—`	Extraction De Motifs Séquentiels Dans Des Données Multidimensionelles. (Mining Sequential Patterns In Multidimensional Data). Marc Plantevit
2008	—	`conf`	Extraction de Motifs Séquentiels Multidimensionnels Clos sans Gestion d'Ensemble de Candidats. EGC Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2008	—	`conf`	Fouille de Données Multidimensionnelles : Différentes Stratégies pour Prendre en Compte la Mesure. EDA Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2008	B	`conf`	Mining Multidimensional Sequential Patterns over Data Streams. DaWaK Chedy Raïssi, Marc Plantevit
2008	J	`jnl`	Motifs séquentiels multidimensionnels et mesure. Différentes techniques pour calculer le support. Ingénierie des Systèmes d Inf. Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2008	B	`conf`	Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies. DaWaK Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2007	—	`conf`	Extraction d'outliers dans des cubes de données : une aide à la navigation. EDA Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2007	—	`conf`	Extraction de séquences multidimensionnelles convergentes et divergentes. EGC Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2007	C	`conf`	Mining unexpected multidimensional rules. DOLAP Marc Plantevit, Sabine Goutier, Françoise Guisnel, Anne Laurent, Maguelonne Teisseire
2006	C	`conf`	HYPE: mining hierarchical sequential patterns. DOLAP Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2006	—	`conf`	Hype : Prise en compte des hiérarchies lors de l'extraction de motifs séquentiels multidimensionnels. EDA Marc Plantevit, Anne Laurent, Maguelonne Teisseire
2005	—	`conf`	M PKDD Marc Plantevit, Yeow Wei Choong, Anne Laurent, Dominique Laurent, Maguelonne Teisseire
2005	—	`conf`	Motifs séquentiels multidimensionnels étoilés. BDA Marc Plantevit, Yeow Wei Choong, Anne Laurent, Dominique Laurent, Maguelonne Teisseire