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- Marc Plantevit
Université Lyon 1, LIRIS, France
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Publication search results
found 99 matches
- 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): 833-872 (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): 2005-2019 (2023) - Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet:
Electricity Price Forecasting based on Order Books: a differentiable optimization approach. DSAA 2023: 1-10 - 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: 1221-1230 - Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet:
Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. IDA 2023: 446-458 - Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue:
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. CoRR abs/2310.00781 (2023) - 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: 102097 (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: 411-418 - 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: 159-170 - Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet:
What Does My GNN Really Capture? On Exploring Internal GNN Representations. IJCAI 2022: 747-752 - 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: 101-112 - Ataollah Kamal, Elouan Vincent, Marc Plantevit, Céline Robardet:
Improving the Quality of Rule-Based GNN Explanations. PKDD/ECML Workshops (1) 2022: 467-482 - 2021
- Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit:
Sequential recommendation with metric models based on frequent sequences. Data Min. Knowl. Discov. 35(3): 1087-1133 (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): 796-809 (2021) - Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA 2021: 1-10 - Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR abs/2108.03013 (2021) - 2020
- Adnene Belfodil, Sylvie Cazalens, Philippe Lamarre, Marc Plantevit:
Identifying exceptional (dis)agreement between groups. Data Min. Knowl. Discov. 34(2): 394-442 (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): 355-393 (2020) - Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller:
Why Should I Trust This Item? Explaining the Recommendations of any Model. DSAA 2020: 526-535 - Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Gibbs Sampling Subjectively Interesting Tiles. IDA 2020: 80-92 - Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit:
Sequential recommendation with metric models based on frequent sequences. CoRR abs/2008.05587 (2020) - 2019
- Mohamed-Ali Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet:
Rank correlated subgroup discovery. J. Intell. Inf. Syst. 53(2): 305-328 (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) - Mohamed-Ali Hammal, Bernardo A. Abreu, Marc Plantevit, Céline Robardet:
Sampling Rank Correlated Subgroups. DCAI 2019: 217-225 - 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: 91-99 - Mohamed-Ali Hammal, Céline Robardet, Marc Plantevit:
Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles. EGC 2019: 201-212 - 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: 437-440 - Corentin Lonjarret, Marc Plantevit, Céline Robardet, Roch Auburtin:
Recommandation séquentielle à base de séquences fréquentes. EGC 2019: 267-272 - Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Contrastive Antichains in Hierarchies. KDD 2019: 294-304 - Adnene Belfodil, Wouter Duivesteijn, Marc Plantevit, Sylvie Cazalens, Philippe Lamarre:
DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups. ECML/PKDD (1) 2019: 3-20
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