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31 results on '"Trousset, François"'

4. Evidential Classification of Incomplete Data via Imprecise Relabelling: Application to Plastic Sorting

Author

Jacquin, Lucie, Imoussaten, Abdelhak, Trousset, François, Montmain, Jacky, Perrin, Didier, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ben Amor, Nahla, editor, Quost, Benjamin, editor, and Theobald, Martin, editor

Published
2019
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5. Semantic Customers’ Segmentation

Author

Poncelet, Jocelyn, Jean, Pierre-Antoine, Trousset, François, Montmain, Jacky, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, El Yacoubi, Samira, editor, Bagnoli, Franco, editor, and Pacini, Giovanna, editor

Published
2019
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8. Approximate Reasoning for an Efficient, Scalable and Simple Thermal Control Enhancement

Author

Denguir, Afef, Trousset, François, Montmain, Jacky, Junqueira Barbosa, Simone Diniz, editor, Chen, Phoebe, editor, Cuzzocrea, Alfredo, editor, Du, Xiaoyong, editor, Filipe, Joaquim, editor, Kara, Orhun, editor, Kotenko, Igor, editor, Sivalingam, Krishna M., editor, Ślęzak, Dominik, editor, Washio, Takashi, editor, Yang, Xiaokang, editor, Laurent, Anne, editor, Strauss, Olivier, editor, Bouchon-Meunier, Bernadette, editor, and Yager, Ronald R., editor

Published
2014
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9. A Highly Automated Recommender System Based on a Possibilistic Interpretation of a Sentiment Analysis

Author

Imoussaten, Abdelhak, Duthil, Benjamin, Trousset, François, Montmain, Jacky, Junqueira Barbosa, Simone Diniz, editor, Chen, Phoebe, editor, Cuzzocrea, Alfredo, editor, Du, Xiaoyong, editor, Filipe, Joaquim, editor, Kara, Orhun, editor, Kotenko, Igor, editor, Sivalingam, Krishna M., editor, Ślęzak, Dominik, editor, Washio, Takashi, editor, Yang, Xiaokang, editor, Laurent, Anne, editor, Strauss, Olivier, editor, Bouchon-Meunier, Bernadette, editor, and Yager, Ronald R., editor

Published
2014
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10. Addressing Business Process Deviations through the Evaluation of Alternative Pattern-Based Models.

Author

Kady, Charbel, Jalloul, Khaled, Trousset, François, Yaacoub, Charles, Akl, Adib, Daclin, Nicolas, and Zacharewicz, Gregory

Subjects
PATTERNS (Mathematics), WORKFLOW
Abstract

Business processes (BPs) have become extremely complex with thousands of tasks to be completed. These processes should be modelled to manage their complexity, but deviations from these models can occur during execution. To account for the potential outcomes, models are often over-specified, but in fact, it is impossible to anticipate every scenario. Therefore, the issue of how to model the response to these problems arises. The approach put forward in this study entails the creation of a primary model with the aid of domain experts. If a deviation occurs during execution, the system searches for compatible patterns in a collaborative library of workflows, rather than relying on dedicated solutions for specific problems. Nevertheless, the main challenges lie in selecting the most appropriate set of candidates from a vast number of patterns, as well as identifying the optimal injection points on the primary model to correct the deviation. One main objective is to rapidly eliminate incompatible patterns by employing simple mathematical techniques to narrow down the pool of candidate solutions. This serves to minimize the number of patterns that should be considered where more sophisticated methods can then be utilized to rank and select the best solution from this smaller set. [ABSTRACT FROM AUTHOR]

Published
2023
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12. Comfort as a Multidimensional Preference Model for Energy Efficiency Control Issues

Author

Denguir, Afef, Trousset, François, Montmain, Jacky, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Hüllermeier, Eyke, editor, Link, Sebastian, editor, Fober, Thomas, editor, and Seeger, Bernhard, editor

Published
2012
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13. Research for IT Driven Energy Efficiency Based on a Multidimensional Comfort Control*

Author

Denguir, Afef, Trousset, François, Montmain, Jacky, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Auweter, Axel, editor, Kranzlmüller, Dieter, editor, Tahamtan, Amirreza, editor, and Tjoa, A Min, editor

Published
2012
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14. Opinion Extraction Applied to Criteria

Author

Duthil, Benjamin, Trousset, François, Dray, Gérard, Montmain, Jacky, Poncelet, Pascal, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Liddle, Stephen W., editor, Schewe, Klaus-Dieter, editor, Tjoa, A Min, editor, and Zhou, Xiaofang, editor

Published
2012
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15. Towards an Automatic Characterization of Criteria

Author

Duthil, Benjamin, Trousset, François, Roche, Mathieu, Dray, Gérard, Plantié, Michel, Montmain, Jacky, Poncelet, Pascal, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Hameurlain, Abdelkader, editor, Liddle, Stephen W., editor, Schewe, Klaus-Dieter, editor, and Zhou, Xiaofang, editor

Published
2011
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18. Limitations of FIDOL Factors for Odour Impact Assessment: Potential Ways of Improvements.

Author

Guillot, Jean-Michel, Trousset, François, and Daclin, Nicolas

Subjects
ODOR control, POLLUTION, QUALITATIVE research, DETECTORS, FATIGUE (Physiology)
Abstract

FIDOL factors that represent five dimensions (Frequency, Intensity, Duration, Offensiveness and Location) are tools for odour impact assessment. If the four factors (F, I, D, O) are clearly identified parameters, the fifth one (L) can be interpreted in different ways. Some recent communications are based on FIDOR (R as Receptor) or FIDOS (S as Sensitivity) to integrate larger impact than only the location (L). For location, the perception is not the same at work place or in a residential area, but the difference also depends on the considered period (workday, weekend or holidays) and also on sensitivity caused by tiredness or on any other "aggressive" perception (noise, very bad weather...). Therefore, two approaches are eligible: adding new dimensions (R and/or S) to obtain six/seven factors or considering the fifth one (L) as a multidimensional factor (LRS). All factors describe a characteristic of odour impact and for each of them; a scale has to be defined to give a value representing/describing its impact. Thus, what is the more acceptable and representative scale for each factor? After such a choice, the potential weight of each factor on the global perception is also a real question? Global odour perception is, in fact, subjective due to the interpretation of perceived smells in a context. Therefore, factors must integrate the subjectivity for all dimensions they represent. That means it could be interesting to keep the subjective feeling avoiding interference by objective external quantitative measurement like chemical or physical sensors (for example estimating exposure time or intensity based on pollution detection by sensors). [ABSTRACT FROM AUTHOR]

Published
2022
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24. Editorial

Author

Akerkar, Rajendra, Plantié, Michel, Trousset, François, Western Norway Research Institute [Sognda], Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), and Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)

Subjects
ComputingMilieux_MISCELLANEOUS, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience

Published
2017

25. Une nouvelle approche pour l'extraction non supervisée de critères

Author

Duthil, Benjamin, Trousset, François, Roche, Mathieu, Plantié, Michel, Dray, Gérard, Montmain, Jacky, Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Exploration et exploitation de données textuelles (TEXTE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), and Roche, Mathieu

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
Abstract

National audience; Récemment de nouvelles techniques regroupées sous le vocable de détection automatique d'opinions (opinion mining) ont fait leur apparition et proposent une évaluation globale d'un document. Ainsi, elles ne permettent pas de mettre en avant le fait que les personnes expriment une opinion très positive du scénario d'un film alors qu'elles trouvent que les acteurs sont médiocres. Dans cet article, nous proposons de caractériser automatiquement les segments de textes relevant d'un critère donné sur un corpus de critiques.

Published
2013

26. Comment déterminer les adjectifs d'opinion d'un domaine donné

Author

Harb, Ali, Plantié, Michel, Roche, Mathieu, Dray, Gérard, Trousset, François, Poncelet, Pascal, Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Exploration et exploitation de données textuelles (TEXTE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), and Fouille de données environnementales (TATOO)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-GT]Computer Science [cs]/Computer Science and Game Theory [cs.GT], Fouille de Texte, Orientation Sémantique, Classification, Règles d'Association
Abstract

International audience; L'extraction automatique d'opinions sur le web 2.0 est un domaine de recherche de plus en plus étudié. Elle utilise souvent deux méthodes à vocations différentes : soit des méthodes fondées sur l'apprentissage par la constitution de corpus en vue d'établir des modèles pour la classification, soit rechercher des mots caractéristiques tels que les adjectifs qui contribueront à la classification des textes. Dans ce dernier cas, les outils existants utilisent des dictionnaires généraux, et possèdent des limites : pour certains domaines, des adjectifs peuvent être inexistants voire contradictoires. Dans cet article, nous proposons une nouvelle approche de création automatique de dictionnaire d'adjectifs intégrant la connaissance du domaine. Les expériences menées sur des données réelles ont montré l'intérêt de notre approche comparativement à une méthode plus classique par apprentissage.

Published
2008

28. SAX

Author

Trousset, François, primary, Poncelet, Pascal, additional, and Masseglia, Florent, additional

Published
2009
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30. Web opinion mining

Author

Harb, Ali, primary, Plantié, Michel, additional, Dray, Gerard, additional, Roche, Mathieu, additional, Trousset, François, additional, and Poncelet, Pascal, additional

Published
2008
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