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27 résultats
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triés par
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Detection of early behavioural signs of disease as a way to manage animal healthWorkshop on precision livestock farming and social interactions in dairy cattle, Swedish research programme on precision livestock farming and social interactions, Sep 2020, Uppsala, Sweden
Communication dans un congrès
hal-03023071v1
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Use of a precision-livestock-farming technology coupled with time series methods to identify abnormal circadian pattern of activityMeasuring behaviour, Jun 2018, Manchester, United Kingdom. 2018
Poster de conférence
hal-01860017v1
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On a New Evidential C-Means Algorithm with Instance-Level Constraintspp.66-78, 2019, ⟨10.1007/978-3-030-35514-2_6⟩
Ouvrages
hal-02506594v1
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CEVCLUS: evidential clustering with instance-level constraints for relational dataSoft Computing, 2014, 18 (7), pp.1321-1335. ⟨10.1007/s00500-013-1146-z⟩
Article dans une revue
hal-00923311v1
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Possibilistic clustering with seedsIEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul 2018, Rio de Janeiro, Brazil
Communication dans un congrès
hal-01954141v1
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Clustering de séries chronologiques de patients souffrant de douleurs chroniquesPoster de conférence hal-04063254v1 |
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On evidential clustering with partial supervisionBelief Functions: Theory and Applications, Chap. 3, Editions Springer, 2018, Lecture Notes in Computer Science, 978-3-319-99382-9. ⟨10.1007/978-3-319-99383-6_3⟩
Chapitre d'ouvrage
hal-02787897v1
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Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble ClassificationSoft Methods in Probability and Statistics, Oct 2012, Germany. pp.27-35, ⟨10.1007/978-3-642-33042-1⟩
Communication dans un congrès
hal-00745592v1
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Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy CowsComparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows, pp.342-351, 2020, ⟨10.1007/978-3-030-59491-6_32⟩
Chapitre d'ouvrage
hal-02999760v1
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Classification évidentielle avec contraintes d'étiquettesEGC 2015, Jan 2015, Luxembourg, Luxembourg
Communication dans un congrès
hal-01187488v1
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Semi-supervised fuzzy c-means variants: a study on noisy label supervisionIPMU, Jun 2018, Cadiz, Spain. pp.51-62
Communication dans un congrès
hal-02017485v1
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Detection of early behavioural signs of disease as a way to manage animal healthWorkshop on precision livestock farming and social interactions in dairy ca, Sep 2020, Uppsala, Sweden
Communication dans un congrès
hal-03137875v1
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CEVCLUS: Constrained evidential clustering of proximity data7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2011), Aug 2011, Aix-Les-Bains, France. pp.876-882
Communication dans un congrès
hal-00651392v1
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Evidential seed-based semi-supervised clustering7th International Conference on Soft Computing and Intelligent Systems (SCIS), Dec 2014, Kitakyushu, Japan. pp.706-711, ⟨10.1109/SCIS-ISIS.2014.7044676⟩
Communication dans un congrès
hal-01622695v1
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Fourmis artificielles et classification automatiqueNicolas Monmarché, Frédéric Guinand and Patrick Siarry. Fourmis Artificielles, nouvelles directions pour une intelligence collective, volume 2, Hermès-Lavoisier, chap. 1, 2009
Chapitre d'ouvrage
hal-01067299v1
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Data clustering with artificial ants : the api algorithm case studyInternationale Conference on Matheuristique and Nature Inspired Computing, Oct 2008, Hammamet, France
Communication dans un congrès
hal-01024816v1
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Evidential clustering for categorical data2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jun 2019, New Orleans, United States. IEEE, pp.1-6, 2020, ⟨10.1109/FUZZ-IEEE.2019.8858972⟩
Proceedings/Recueil des communications
hal-02506601v1
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Projet ReVeS : Reconnaissance de Végétaux pour de interfaces Smartphones8èmes journées francophones Mobilité et Ubiquité (UBIMOB), Jun 2012, Anglet, France. pp.49-54
Communication dans un congrès
hal-00760026v1
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eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility StudyJMIR Formative Research, 2022, 6 (3), pp.e30052. ⟨10.2196/30052⟩
Article dans une revue
hal-04256443v1
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CECM: Constrained Evidential C-Means algorithmComputational Statistics and Data Analysis, 2012, 56 (4), pp.894-914. ⟨10.1016/j.csda.2010.09.021⟩
Article dans une revue
istex
hal-00554310v1
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CECM: Adding pairwise constraints to evidential clustering2010 IEEE International Conference on Fuzzy Systems (Fuzz'IEEE 2010), Jul 2010, Barcelona, Spain. pp.879-886
Communication dans un congrès
hal-00491424v1
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ECM : Algorithme évidentiel des c-moyennes avec contraintesRencontres Francophones sur la Logique Floue et ses Applications (LFA 2009),, 2009, Annecy, France. pp.275-282
Communication dans un congrès
hal-00450971v1
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On Evidential Clustering with Partial SupervisionBELIEF 2018, Sep 2018, Compiègne, France. pp.14-21, ⟨10.1007/978-3-319-99383-6_3⟩
Communication dans un congrès
hal-01895307v1
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Temporal information integration for video semantic segmentation2020 IEEE International Conference on Robotics and Automation (ICRA), May 2020, Paris, France. pp.8545-8551, ⟨10.1109/ICRA40945.2020.9197204⟩
Communication dans un congrès
hal-03049590v1
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Fuzzy k-NN Based Classifiers for Time Series with Soft Labels18. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2020, Lisbon, Portugal. pp.578-589, ⟨10.1007/978-3-030-50153-2_43⟩
Communication dans un congrès
hal-02900605v1
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Artificial ants for automatic classificationNicolas Monmarché, Frédéric Guinand and Patrick Siarry. Artificial Ants : from collective intelligence to real life optimization and beyond, Iste-Wiley, chap. 13, 2010
Chapitre d'ouvrage
hal-01067324v1
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ReVeS Participation - Tree Species Classification using Random Forests and Botanical FeaturesConference and Labs of the Evaluation Forum (CLEF), Sep 2012, Rome, Italy. pp.1
Communication dans un congrès
hal-00759848v1
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