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Publication search results
found 92 matches
- 2022
- Jean-Christophe Mensonides, Sébastien Harispe, Jacky Montmain, Véronique Thireau:
Analyse automatique d'arguments et apprentissage multi-tâches : un cas d'étude. ROIA 3(3-4): 201-222 (2022) - Zaineb Ajra, Binbin Xu, Gérard Dray, Jacky Montmain, Stéphane Perrey:
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG. EMBC 2022: 52-55 - Jacky Montmain, Abdelhak Imoussaten, Sébastien Harispe, Pierre-Antoine Jean:
On the Notion of Influence in Sensory Analysis. IPMU (2) 2022: 185-196 - Zaineb Ajra, Binbin Xu, Gérard Dray, Jacky Montmain, Stéphane Perrey:
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG. CoRR abs/2209.11767 (2022) - 2021
- Gérard Dray, Pierre-Antoine Jean, Yann Maheu, Jacky Montmain, Nicolas Sutton-Charani:
The AffectMove Challenge: some machine learning approaches. ACII (Workshops and Demos) 2021: 1-5 - 2020
- Abdelhak Imoussaten, Pierre Couturier, Jacky Montmain:
Introducing the difficulty of implementing alternatives in the multiple criteria decision problems. FUZZ-IEEE 2020: 1-7 - Lucie Jacquin, Abdelhak Imoussaten, Sébastien Destercke, François Trousset, Jacky Montmain, Didier Perrin:
Manipulating Focal Sets on the Unit Simplex: Application to Plastic Sorting. FUZZ-IEEE 2020: 1-7 - Jocelyn Poncelet, Pierre-Antoine Jean, Michel Vasquez, Jacky Montmain:
Hierarchical Reasoning and Knapsack Problem Modelling to Design the Ideal Assortment in Retail. IPMU (1) 2020: 201-214 - 2019
- Lamia Berrah, Vincent Clivillé, Jacky Montmain, Gilles Mauris:
The Contribution concept for the control of a manufacturing multi-criteria performance improvement. J. Intell. Manuf. 30(1): 47-58 (2019) - Abdelhak Imoussaten, Jacky Montmain:
A debate model for cooperative agents to achieve common objectives. EUSFLAT Conf. 2019 - Jean-Christophe Mensonides, Sébastien Harispe, Jacky Montmain, Véronique Thireau:
Automatic Detection and Classification of Argument Components using Multi-task Deep Neural Network. ICNLSP 2019: 25-33 - Jocelyn Poncelet, Pierre-Antoine Jean, François Trousset, Jacky Montmain:
Semantic Customers' Segmentation. INSCI 2019: 318-325 - Lucie Jacquin, Abdelhak Imoussaten, François Trousset, Jacky Montmain, Didier Perrin:
Evidential Classification of Incomplete Data via Imprecise Relabelling: Application to Plastic Sorting. SUM 2019: 122-135 - 2018
- Gildas Tagny Ngompé, Sébastien Harispe, Guillaume Zambrano, Jacky Montmain, Stéphane Mussard:
Detecting Sections and Entities in Court Decisions Using HMM and CRF Graphical Models. EGC (best of volume) 2018: 61-86 - Nicolas Sutton-Charani, Abdelhak Imoussaten, Sébastien Harispe, Jacky Montmain:
Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework. IPMU (1) 2018: 297-309 - Jean-Christophe Mensonides, Sébastien Harispe, Jacky Montmain, Véronique Thireau:
Réseaux de neurones récurrents multi-tâches pour l'analyse automatique d'arguments(Argument mining: A multi-task approach using deep neural networks). CNIA+RJCIA 2018: 78-85 - 2017
- Benjamin Duthil, Abdelhak Imoussaten, Jacky Montmain:
A text-mining and possibility theory based model using public reports to highlight the sustainable development strategy of a city. CIVEMSA 2017: 36-41 - Diadié Sow, Abdelhak Imoussaten, Pierre Couturier, Jacky Montmain:
A possibilistic framework for identifying the performance to be improved in the imprecise context of preliminary design stage. CIVEMSA 2017: 54-59 - Pierre-Antoine Jean, Sébastien Harispe, Sylvie Ranwez, Patrice Bellot, Jacky Montmain:
Étude d'un modèle d'inférence de connaissances à partir de textes. CORIA 2017: 201-217 - Gildas Tagny Ngompé, Sébastien Harispe, Guillaume Zambrano, Jacky Montmain, Stéphane Mussard:
Reconnaissance de sections et d'entités dans les décisions de justice : application des modèles probabilistes HMM et CRF. EGC 2017: 201-212 - Mohamed Nader Jelassi, Sylvie Ranwez, Sébastien Harispe, Jacky Montmain, Christophe Blondeau:
Un outil de catégorisation conceptuelle des formations professionnelles. IC 2017: 241-244 - Sébastien Harispe, Massissilia Medjkoune, Jacky Montmain:
Eliciting Implicit Evocations Using Word Embeddings and Knowledge Representation. SUM 2017: 78-92 - Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain:
Semantic Similarity from Natural Language and Ontology Analysis. CoRR abs/1704.05295 (2017) - 2016
- Pierre-Antoine Jean, Sébastien Harispe, Sylvie Ranwez, Patrice Bellot, Jacky Montmain:
Un modèle probabiliste pour la détection de l'incertitude dans le langage naturel. Document Numérique 19(2-3): 53-73 (2016) - Nicolas Fiorini, Sébastien Harispe, Sylvie Ranwez, Jacky Montmain, Vincent Ranwez:
Fast and reliable inference of semantic clusters. Knowl. Based Syst. 111: 133-143 (2016) - Pierre-Antoine Jean, Sébastien Harispe, Sylvie Ranwez, Patrice Bellot, Jacky Montmain:
Un modèle probabiliste pour la détection de l'incertitude dans le langage naturel. CORIA-CIFED 2016: 608-622 - Massissilia Medjkoune, Sébastien Harispe, Jacky Montmain, Stéphane Cariou, Jean-Louis Fanlo, Nicolas Fiorini:
Towards a Non-oriented Approach for the Evaluation of Odor Quality. IPMU (1) 2016: 238-249 - Diadié Sow, Abdelhak Imoussaten, Pierre Couturier, Jacky Montmain:
A Qualitative Approach to Set Achievable Goals During the Design Phase of Complex Systems. IPMU (2) 2016: 423-434 - Sébastien Harispe, Jacky Montmain, Massissilia Medjkoune:
Summarizing conceptual descriptions using knowledge representations. SSCI 2016: 1-8 - Pierre-Antoine Jean, Sébastien Harispe, Sylvie Ranwez, Patrice Bellot, Jacky Montmain:
Uncertainty detection in natural language: a probabilistic model. WIMS 2016: 10:1-10:10
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