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Number of documents

56


Journal articles9 documents

  • Jesus Cerquides, Rémi Emonet, Gauthier Picard, Juan Rodriguez-Aguilar. Solving highly cyclic distributed optimization problems without busting the bank: a decimation-based approach. Logic Journal of the IGPL, Oxford University Press (OUP), In press, 31p. In Press. ⟨hal-02133894⟩
  • Gabriel Devenyi, Rémi Emonet, Rayna Harris, Kate Hertweck, Damien Irving, et al.. Ten simple rules for collaborative lesson development. PLoS Computational Biology, Public Library of Science, 2018, 14 (3), ⟨10.1371/journal.pcbi.1005963⟩. ⟨hal-01864456⟩
  • Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Natalia Neverova, et al.. Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression. Neurocomputing, Elsevier, 2017, 251, pp.68-80. ⟨10.1016/j.neucom.2017.04.014⟩. ⟨hal-01507132v2⟩
  • Rémi Emonet, J. Varadarajan, Jean-Marc Odobez. Temporal Analysis of Motif Mixtures using Dirichlet Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2014, pp.140 - 156. ⟨10.1109/TPAMI.2013.100⟩. ⟨hal-00965909⟩
  • Rémi Emonet, J. Varadarajan, Jean-Marc Odobez. Temporal Analysis of Motif Mixtures using Dirichlet Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2014, ⟨10.1109/TPAMI.2013.100⟩. ⟨hal-00872018⟩
  • Katayoun Farrahi, Rémi Emonet, Manuel Cebrian. Epidemic Contact Tracing via Communication Traces. PLoS ONE, Public Library of Science, 2014, pp.1. ⟨10.1371/journal.pone.0095133⟩. ⟨hal-01004479⟩
  • Alice Aubert, Romain Tavenard, Rémi Emonet, Alban de Lavenne, Simon Malinowski, et al.. Clustering Flood Events from Water Quality Time-Series using Latent Dirichlet Allocation Model. Water Resources Research, American Geophysical Union, 2013, 49 (12), pp.8187-8199. ⟨10.1002/2013WR014086⟩. ⟨halshs-00906292⟩
  • J. Varadarajan, Rémi Emonet, Jean-Marc Odobez. A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs. International Journal of Computer Vision, Springer Verlag, 2013, 103 (1), pp.100-126. ⟨10.1007/s11263-012-0596-6⟩. ⟨hal-00872030⟩
  • Rémi Barraquand, Dominique Vaufreydaz, Rémi Emonet, Amaury Nègre, Patrick Reignier. The OMiSCID 2.0 Middleware: Usage and Experiments in Smart Environments. International Journal On Advances in Software, IARIA, 2012, 4 (3&4), pp.231-243. ⟨hal-00693395⟩

Conference papers43 documents

  • Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban. Metric Learning in Optimal Transport for Domain Adaptation. International Joint Conference on Artificial Intelligence, Jan 2021, Kyoto, Japan. ⟨ujm-02611800v2⟩
  • Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban. MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibrées. Conférence sur l'Apprentissage automatique (CAp 2020), Jun 2020, Vannes, France. ⟨hal-02868502⟩
  • Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban. Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced Data. IJCAI-PRICAI2020, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan. ⟨hal-02611586⟩
  • Romain Ravaille, Olivier Alata, Rémi Emonet. Extraction d'un noyau non stationnaire de processus gaussien à l'aide des ondelettes. GRETSI 2019, Aug 2019, Lille, France. ⟨hal-02308042⟩
  • Yichang Wang, Rémi Emonet, Elisa Fromont, Simon Malinowski, Etienne Menager, et al.. Classification de séries temporelles basée sur des "shapelets" interprétables par réseaux de neurones antagonistes. CAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France. pp.1-2. ⟨hal-02268004⟩
  • Rémi Viola, Rémi Emonet, Amaury Habard, Guillaume Metzler, Sébastien Riou, et al.. Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibré. Conférence sur l'Apprentissage automatique (CAp 2019), Jul 2019, Toulouse, France. ⟨hal-02868516⟩
  • Paul Viallard, Rémi Emonet, Pascal Germain, Amaury Habrard, Emilie Morvant. Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory. Workshop on Machine Learning with guarantees @ NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02335762⟩
  • Kevin Bascol, Rémi Emonet, Elisa Fromont. Improving Domain Adaptation By Source Selection. ICIP 2019 - IEEE International Conference on Image Processing, Sep 2019, Taïpei, Taiwan. ⟨10.1109/ICIP.2019.8803325⟩. ⟨hal-02136378⟩
  • Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, et al.. An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨hal-02318868⟩
  • Kevin Bascol, Rémi Emonet, Elisa Fromont, Amaury Habrard, Guillaume Metzler, et al.. From Cost-Sensitive Classification to Tight F-measure Bounds. AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Okinawa, Japan. pp.1245-1253. ⟨hal-02049763⟩
  • Valentina Zantedeschi, Rémi Emonet, Marc Sebban. Fast and Provably Effective Multi-view Classification with Landmark-based SVM. ECML PKDD 2018, Sep 2018, Dublin, Ireland. ⟨hal-01863895⟩
  • Kevin Bascol, Rémi Emonet, Elisa Fromont, Amaury Habrard, Guillaume Metzler, et al.. Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication.. Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France. ⟨hal-01803183⟩
  • Jesus Cerquides, Rémi Emonet, Gauthier Picard, Juan Rodriguez-Aguilar. Improving Max-Sum through Decimation to Solve Cyclic Distributed Constraint Optimization Problems. International Workshop on Optimisation in Multi-Agent Systems (OPTMAS), 2018, Stockholm, Sweden. ⟨hal-01804326⟩
  • Jesus Cerquides, Rémi Emonet, Gauthier Picard, Juan Rodriguez-Aguilar. Decimaxsum : Décimer pour résoudre des dcop cycliques plus efficacement. In Journées Francophones sur les Systèmes Multi-Agents. 26èmes Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2018), Oct 2018, Métabief, France. pp.63-72. ⟨hal-01861618⟩
  • Jesus Cerquides, Rémi Emonet, Gauthier Picard, Juan Rodriguez-Aguilar. Decimaxsum: Using decimation to improve max-sum on cyclic dcops. 21st International Conference of the Catalan Association for Artificial Intelligence (CCIA 2018), Oct 2018, Roses, Spain. pp.27-36, ⟨10.3233/978-1-61499-918-8-27⟩. ⟨hal-01861622⟩
  • Carlos Arango, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik. Subtle Motion Analysis and Spotting using the Riesz Pyramid. VISIGRAPP 2018, Jan 2018, Funchal, Portugal. ⟨hal-01699350⟩
  • Carlos Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik. Micro-Expression Spotting using the Riesz Pyramid. WACV 2018, Mar 2018, Lake Tahoe, United States. ⟨hal-01699355⟩
  • Khaja Wasif Mohiuddin, Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez, Pierre Moulin. GPU Accelerated Probabilistic Latent Sequential Motifs for Activity Analysis. International Conference on Computer Vision Theory and Applications, Jan 2018, Funchal, Portugal. pp.409-418. ⟨hal-01991806⟩
  • Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, et al.. Residual Conv-Deconv Grid Network for Semantic Segmentation. BMVC 2017, Sep 2017, Londre, United Kingdom. ⟨hal-01567725⟩
  • Kevin Bascol, Rémi Emonet, Elisa Fromont, Raluca Debusschere. Improving Chairlift Security with Deep Learning. International Symposium on Intelligent Data Analysis (IDA 2017), Oct 2017, Londres, United Kingdom. ⟨hal-01581392⟩
  • Valentina Zantedeschi, Rémi Emonet, Marc Sebban. Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de Généralisation. CAp2016, Jul 2016, Marseille, France. ⟨hal-01359282⟩
  • Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Trémeau, et al.. Semantic Segmentation via Multi-task, Multi-domain Learning. S+SSPR 2016 The joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016) , Nov 2016, Merida, Mexico. ⟨hal-01376998⟩
  • Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, et al.. Segmentation de scènes extérieures à partir d'ensembles d'étiquettes à granularité et sémantique variables. RFIA 2016, Jun 2016, Clermont Ferrand, France. ⟨hal-01318461⟩
  • Fourure Damien, Emonet Rémi, Fromont Elisa, Muselet Damien, Tremeau Alain, et al.. Segmentation de scènes extérieures à partir d'ensembles d'étiquettes à granularité et sémantique variables. Vingtième congrès national sur la Reconnaissance des Formes et l'Intelligence Artificielle (RFIA'16), Jun 2016, Clermont Ferrand, France. ⟨hal-01374580⟩
  • Kevin Bascol, Rémi Emonet, Elisa Fromont, Jean-Marc Odobez. Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders. The joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016), Nov 2016, Merida, Mexico. ⟨hal-01374576⟩
  • Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Trémeau, et al.. Mixed Pooling Neural Networks for Color Constancy. IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. ⟨hal-01314066⟩
  • Valentina Zantedeschi, Rémi Emonet, Marc Sebban. beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data. NIPS 2016, Dec 2016, Barcelona, Spain. ⟨hal-01359298⟩
  • Valentina Zantedeschi, Rémi Emonet, Marc Sebban. Metric Learning as Convex Combinations of Local Models with Generalization Guarantees. CVPR2016, Jun 2016, Las Vegas, United States. ⟨hal-01323567⟩
  • Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban. Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain Adaptation. Computer Vision and Pattern Recognition (CVPR'2015), Jun 2015, Boston, United States. ⟨hal-01124975⟩
  • Katayoun Farrahi, Rémi Emonet, Manuel Cebrian. Predicting a Community's Flu Dynamics with Mobile Phone Data. Computer-Supported Cooperative Work and Social Computing, Mar 2015, Vancouver, Canada. ⟨10.1145/2675133.2675237⟩. ⟨hal-01146198⟩
  • Adolfo López-Méndez, Carina Westling, Rémi Emonet, Matt Easteal, Lisa Lavia, et al.. Automated Bobbing and Phase Analysis to Measure Walking Entrainment to Music. IEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.1. ⟨hal-01004425⟩
  • Taygun Kekec, Rémi Emonet, Elisa Fromont, Alain Trémeau, Christian Wolf. Prise en Compte du Contexte pour Contraindre les Réseaux Profonds: Application à l'Étiquetage de Scènes. Conférence d'Apprentissage, CAP 2014, Saint-Etienne, Jul 2014, Saint-Etienne, France. ⟨hal-01011948⟩
  • Rémi Emonet, Elisabeth Oberzaucher, Jean-Marc Odobez. What to Show? - Automatic Stream Selection among Multiple Sensors. International Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. pp.1. ⟨hal-00965916⟩
  • Taygun Kekec, Rémi Emonet, Elisa Fromont, Alain Trémeau, Christian Wolf. Contextually Constrained Deep Networks for Scene Labeling. British Machine Vision Conference, 2014, Sep 2014, Nottingham, United Kingdom. ⟨hal-01020539⟩
  • Thiyagarajan Chockalingam, Rémi Emonet, Jean-Marc Odobez. Localized Anomaly Detection via Hierarchical Integrated Activity Discovery. AVSS - IEEE International Conference on Advanced Video and Signal-Based Surveillance, Aug 2013, Kraków, Poland. ⟨hal-00872057⟩
  • Romain Tavenard, Rémi Emonet, Jean-Marc Odobez. Time-Sensitive Topic Models for Action Recognition in Videos. ICIP - International Conference on Image Processing, Sep 2013, Melbourne, Australia. ⟨hal-00872048⟩
  • Rémi Barraquand, Dominique Vaufreydaz, Rémi Emonet, Amaury Negre, Jean-Pascal Mercier, et al.. OMiSCID 2.0, un intergiciel gratuit pour la construction d'applications distribuées. MajecStic, Oct 2010, Bordeaux, France. ⟨hal-00632913⟩
  • Remi Barraquand, Dominique Vaufreydaz, Rémi Emonet, Jean-Pascal Mercier. Case Study of the OMiSCID Middleware: Wizard of Oz Experiment in Smart Environments. The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Oct 2010, Florence, Italy. ⟨hal-00780416⟩
  • Rémi Emonet, Dominique Vaufreydaz. Usable developer-oriented Functionality Composition Language (UFCL): a Proposal for Semantic Description and Dynamic Composition of Services and Service Factories. 4th IET International Conference on Intelligent Environments, Jul 2008, Seattle, United States. pp.1-8. ⟨hal-00670655⟩
  • Rémi Emonet, Dominique Vaufreydaz. Perceptive Services Composition using semantic language and distributed knowledge. Common Models and Patterns for Pervasive Computing at the 5th International Conference on Pervasive Computin, May 2007, Toronto (Ontario), Canada. ⟨inria-00326679⟩
  • Rémi Emonet, Dominique Vaufreydaz, Patrick Reignier, Julien Letessier. O3MiSCID, a Middleware for Pervasive Environments. 1st IEEE International Workshop on Services Integration in Pervasive Environments, IEEE, Jun 2006, Lyon, France. ⟨inria-00326528⟩
  • Dominique Vaufreydaz, Rémi Emonet, Patrick Reignier. A Lightweight Speech Detection System for Perceptive Environments. 3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, May 2006, Washington, United States. ⟨inria-00326529⟩
  • Patrick Reignier, Sofia Zaidenberg, Rémi Emonet, Dominique Vaufreydaz, Julien Letesssier. jOMiSCID, un intergiciel sous OSGi pour l'informatique ubiquitaire. Atelier de travail OSGi 2006, 2006, Paris, France. ⟨hal-00097090⟩

Book sections1 document

  • Basura Fernando, Rahaf Aljundi, Rémi Emonet, Amaury Habrard, Marc Sebban, et al.. Unsupervised Domain Adaptation Based on Subspace Alignment. Domain Adaptation in Computer Vision Applications. Advances in Computer Vision and Pattern Recognition, 2017. ⟨hal-01613051⟩

Preprints, Working Papers, ...1 document

  • Marc Rußwurm, Sébastien Lefevre, Nicolas Courty, Rémi Emonet, Marco Körner, et al.. End-to-end Learning for Early Classification of Time Series. 2019. ⟨hal-02174314⟩

Reports1 document

  • Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar. Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems. [Research Report] Ecole des Mines de Saint Etienne (EMSE). 2017. ⟨hal-01534066⟩

Theses1 document

  • Rémi Emonet. Semantic Description of Services and Service Factories for Ambient Intelligence. Software Engineering [cs.SE]. Institut National Polytechnique de Grenoble - INPG, 2009. English. ⟨tel-00450479⟩