Marc Plantevit

Orcid: 0000-0003-4636-5753

Affiliations:
  • Université Lyon 1, LIRIS, France


According to our database1, Marc Plantevit authored at least 98 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
On GNN explainability with activation rules.
Data Min. Knowl. Discov., September, 2024

On GNN explanability with activation rules.
CoRR, 2024

DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Transparent Explainable Logic Layers.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Methods for explaining Top-N recommendations through subgroup discovery.
Data Min. Knowl. Discov., March, 2023

Using Subgroup Discovery to Relate Odor Pleasantness and Intensity to Peripheral Nervous System Reactions.
IEEE Trans. Affect. Comput., 2023

Forecasting Electricity Prices: An Optimize Then Predict-Based Approach.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets.
Proceedings of the IEEE International Conference on Data Mining, 2023

Electricity Price Forecasting based on Order Books: a differentiable optimization approach.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
In pursuit of the hidden features of GNN's internal representations.
Data Knowl. Eng., 2022

Improving the Quality of Rule-Based GNN Explanations.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2022

What Does My GNN Really Capture? On Exploring Internal GNN Representations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
User-Driven Geolocated Event Detection in Social Media.
IEEE Trans. Knowl. Data Eng., 2021

Sequential recommendation with metric models based on frequent sequences.
Data Min. Knowl. Discov., 2021

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
SIAS-miner: mining subjectively interesting attributed subgraphs.
Data Min. Knowl. Discov., 2020

Identifying exceptional (dis)agreement between groups.
Data Min. Knowl. Discov., 2020

Gibbs Sampling Subjectively Interesting Tiles.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Why Should I Trust This Item? Explaining the Recommendations of any Model.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Chemical features mining provides new descriptive structure-odor relationships.
PLoS Comput. Biol., 2019

Rank correlated subgroup discovery.
J. Intell. Inf. Syst., 2019

Mining Subjectively Interesting Attributed Subgraphs.
CoRR, 2019

DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Contrastive Antichains in Hierarchies.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Recommandation séquentielle à base de séquences fréquentes.
Proceedings of the Extraction et Gestion des connaissances, 2019

Analyse de comportements relatifs exceptionnels expliquée par des textes : les votes du parlement européen.
Proceedings of the Extraction et Gestion des connaissances, 2019

Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles.
Proceedings of the Extraction et Gestion des connaissances, 2019

FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Sampling Rank Correlated Subgroups.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019

2018
Mining exceptional closed patterns in attributed graphs.
Knowl. Inf. Syst., 2018

Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept.
Proceedings of the Discovery Science - 21st International Conference, 2018

Contributions to Pattern Mining in Augmented Graphs. (Contributions à la découverte de motifs dans des graphes augmentés).
, 2018

2017
Exceptional contextual subgraph mining.
Mach. Learn., 2017

Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems.
Artif. Intell., 2017

Flash Points: Discovering Exceptional Pairwise Behaviors in Vote or Rating Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Contextual Subgraph Discovery with Mobility Models.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Graph dependency construction based on interval-event dependencies detection in data streams.
Intell. Data Anal., 2016

h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships.
Proceedings of the Discovery Science - 19th International Conference, 2016

Local Pattern Detection in Attributed Graphs.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Interpreting communities based on the evolution of a dynamic attributed network.
Soc. Netw. Anal. Min., 2015

What effects topological changes in dynamic graphs? - Elucidating relationships between vertex attributes and the graph structure.
Soc. Netw. Anal. Min., 2015

Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts.
J. Biomed. Semant., 2015

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Profiling Users of the Velo'v Bike Sharing System.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Vers la découverte de modèles exceptionnels locaux : des règles descriptives liant les molécules à leurs odeurs.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
Finding maximal homogeneous clique sets.
Knowl. Inf. Syst., 2014

Temporal Dependency Detection Between Interval-Based Event Sequences.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Granularity of Co-evolution Patterns in Dynamic Attributed Graphs.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Sequence Classification Based on Delta-Free Sequential Patterns.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Une méthode pour caractériser les communautés des réseaux dynamiques à attributs.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Granularité des motifs de co-variations dans des graphes attribués dynamiques.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

A method for characterizing communities in dynamic attributed complex networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Triggering patterns of topology changes in dynamic graphs.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors.
IEEE Trans. Knowl. Data Eng., 2013

Discovering descriptive rules in relational dynamic graphs.
Intell. Data Anal., 2013

Trend Mining in Dynamic Attributed Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Mining Disjunctive Rules in Dynamic Graphs.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012

Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Cohesive Co-evolution Patterns in Dynamic Attributed Graphs.
Proceedings of the Discovery Science - 15th International Conference, 2012

2011
Multidimensional Association Rules in Boolean Tensors.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Mining Dominant Patterns in the Sky.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Summarizing Contrasts by Recursive Pattern Mining.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Motifs séquentiels delta-libres.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Extraction sous contraintes d'ensembles de cliques homogènes.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010
Mining multidimensional and multilevel sequential patterns.
ACM Trans. Knowl. Discov. Data, 2010

Fenêtres sur cube.
Ingénierie des Systèmes d Inf., 2010

Discovering Inter-Dimensional Rules in Dynamic Graphs.
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

Recursive Sequence Mining to Discover Named Entity Relations.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Sequential Patterns to Discover and Characterise Biological Relations.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2010

2009
OLAP-Sequential Mining: Summarizing Trends from Historical.
Proceedings of the New Trends in Data Warehousing and Data Analysis, 2009

Sequential Data Mining for Information Extraction from Texts.
Trait. Autom. des Langues, 2009

Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern.
Int. J. Data Min. Model. Manag., 2009

Mining convergent and divergent sequences in multidimensional data.
Int. J. Bus. Intell. Data Min., 2009

Motifs séquentiels pour l'extraction d'information : illustration sur le problème de la détection d'interactions entre gènes.
Proceedings of the Actes de la 16ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, 2009

Condensed Representation of Sequential Patterns According to Frequency-Based Measures.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Multidimensional Data Stream Summarization Using Extended Tilted-Time Windows.
Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009

2008
Extraction De Motifs Séquentiels Dans Des Données Multidimensionelles. (Mining Sequential Patterns In Multidimensional Data).
PhD thesis, 2008

Motifs séquentiels multidimensionnels et mesure. Différentes techniques pour calculer le support.
Ingénierie des Systèmes d Inf., 2008

Extraction de Motifs Séquentiels Multidimensionnels Clos sans Gestion d'Ensemble de Candidats.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

Fouille de Données Multidimensionnelles : Différentes Stratégies pour Prendre en Compte la Mesure.
Proceedings of the Actes des 4èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, 2008

Mining Multidimensional Sequential Patterns over Data Streams.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

2007
Extraction de séquences multidimensionnelles convergentes et divergentes.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Extraction d'outliers dans des cubes de données : une aide à la navigation.
Proceedings of the Actes des 3èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, 2007

Mining unexpected multidimensional rules.
Proceedings of the DOLAP 2007, 2007

2006
Hype : Prise en compte des hiérarchies lors de l'extraction de motifs séquentiels multidimensionnels.
Proceedings of the Actes de la 2ème journée francophone sur les Entrepôts de Données et l'Analyse en ligne, 2006

HYPE: mining hierarchical sequential patterns.
Proceedings of the DOLAP 2006, 2006

2005
M<sup>2</sup>SP: Mining Sequential Patterns Among Several Dimensions.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Motifs séquentiels multidimensionnels étoilés.
Proceedings of the 21èmes Journées Bases de Données Avancées, 2005


  Loading...