Publication de la collection HAL LS2N-DUKE pour 2018
Nombre de publications retournées : 50ART_INT | ART_NAT | COMM_INT | COMM_NAT | OUV | THESE | AUTRES |
---|---|---|---|---|---|---|
5 | 2 | 29 | 5 | 3 | 4 | 2 |
Revues internationales avec comité de lecture (ART_INT)
- [1] H. Le Capitaine. Constraint selection in metric learning. In Knowledge-Based Systems ; éd. Elsevier, 2018.https://hal.science/hal-01716067v1
- [2] C. Sinoquet. A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies. In BMC Bioinformatics ; éd. BioMed Central, 2018, vol. 19, num. 1.https://hal.science/hal-01984726v1
- [3] E. Menou, I. Toda-Caraballo, P. Rivera-Díaz-Del-Castillo, C. Pineau, E. Bertrand, G. Ramstein, F. Tancret. Evolutionary design of strong and stable high entropy alloys using multi-objective optimisation based on physical models, statistics and thermodynamics. In Materials & Design ; éd. Elsevier, 2018, vol. 143.https://hal.science/hal-01741909v1
- [4] C. Niel, C. Sinoquet, C. Dina, G. Rocheleau. SMMB: a stochastic Markov blanket framework strategy for epistasis detection in GWAS. In Bioinformatics ; éd. Oxford University Press (OUP), 2018, vol. 34, num. 16.https://hal.science/hal-01986668v1
- [5] E. Menou, F. Tancret, I. Toda-Caraballo, P. Castany, E. Bertrand, N. Gautier, P. Rivera Díaz-Del-Castillo, G. Ramstein. Computational design of light and strong high entropy alloys (HEA) Obtainment of an extremely high specific solid solution hardening. In Scripta Materialia ; éd. Elsevier, 2018, vol. 156.https://univ-rennes.hal.science/hal-01874721v1
- [6] R. Carrillo, Y. Prié, L. Guillaume, E. Lavoué. Suivre l’engagement des apprenants dans l’activité de construction de cartes mentales. In STICEF (Sciences et Technologies de l'Information et de la Communication pour l'Éducation et la Formation) ; éd. ATIEF, 2018, vol. 25, num. 1.https://hal.science/hal-01939672v1
- [7] M. Jahjah. Culture imprimée et culture numérique : au-delà de Gutenberg, les enjeux du "texte livresque. In Revue de la bibliothèque nationale universitaire de Strasbourg. 27-02-2018https://hal.science/hal-01713055v1
- [8] L. van Der Gaag, P. Leray. Qualitative probabilistic relational models. In The 12th International Conference on Scalable Uncertainty Management (SUM 2018), 2018, Milano, Italie.https://hal.science/hal-01891685v1
- [9] M. El Abri, P. Leray, N. Essoussi. DAPER joint learning from partially structured Graph Databases. In Third annual International Conference on Digital Economy (ICDEc 2018), 2018, Brest, France.https://hal.science/hal-01804057v1
- [10] R. Rincé, R. Kervarc, P. Leray. Complex event processing under uncertainty using Markov chains, constraints, and sampling. In 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018), 2018, Luxembourg, Luxembourg.https://hal.science/hal-01891691v1
- [11] C. Sinoquet, C. Niel. Enhancement of a stochastic Markov blanket framework with ant colony optimization, to uncover epistasis in genetic association studies.. In ESANN 2018 - 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, avril 2018, Bruges, Belgique.https://hal.science/hal-01984753v1
- [12] C. Sinoquet, K. Mekhnacha. Combining latent tree modeling with a random forest-based approach, for genetic association studies. In 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN2018, avril 2018, Bruges, Belgique.https://hal.science/hal-01984665v1
- [13] C. Jacquot, M. Jahjah. Interroger la matérialité numérique d’une œuvre hybride : l’énonciation éditoriale de Poreuse. In Colloque international ECRIDIL, avril 2018, Montréal, Canada.https://hal.science/hal-02018377v1
- [14] A. Granet, B. Hervy, G. Roman Jimenez, M. Hachicha, E. Morin, H. Mouchère, S. Quiniou, G. Raschia, F. Rubellin, C. Viard-Gaudin. Crowdsourcing-based Annotation of the Accounting Registers of the Italian Comedy. In 11th International Conference on Language Resources and Evaluation (LREC), mai 2018, Miyazaki, Japon.https://hal.science/hal-01819079v1
- [15] R. Affogbolo, C. Gauzente, P. Kuntz, A. Guénoche. Modèles d'affaires et internet des objets : une méta-analyse exploratoire des motivations et freins. In 23ème Colloque de l'AIM, mai 2018, Montréal, Canada.https://hal.science/hal-01982967v1
- [16] A. Fonnet, F. Melki, Y. Prié, F. Picarougne, G. Cliquet. Immersive Data Exploration and Analysis. In Student Interaction Design Research conference, mai 2018, Helsinki, Finlande.https://hal.science/hal-01798681v1
- [17] R. Chulyadyo, P. Leray. Using Probabilistic Relational Models to Generate Synthetic Spatial or Non-spatial Databases. In Research Challenges in Information Science (RCIS) 2018, 12th International Conference on, mai 2018, Nantes, France.https://hal.science/hal-01761901v1
- [18] T. Vigier, Y. Prié, F. Melki, M. Perreira, F. Picarougne, S. Bulteau, O. Charlet. New VR platform for the personalization of care in psychiatry: the example of ReViSTIM project. In Care TVX Workshop at ACM TVX 2018, juin 2018, Seoul, Corée du Sud.https://hal.science/hal-01988664v1
- [19] A. Issa, M. Harzallah, G. Berio, N. Béchet, A. Faour. A EXPR : A Combined Approach for Hypernym Discovery. In The 12th International Workshop on Semantic Evaluation (SemEval-2018), juin 2018, New Orleans, états-Unis.https://hal.science/hal-01994866v1
- [20] C. Niel, C. Sinoquet. Enhanced ensemble approach to learn Markov blankets for feature subset selection in high-dimensional settings. Illustration with an application to mine genetic data.. In Cap2018 (French Conference on Machine Learning), juin 2018, Rouen, France.https://hal.science/hal-01986670v1
- [21] W. Siblini, P. Kuntz, F. Meyer. CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning. In The 35th International Conference on Machine Learning. (ICML 2018), juillet 2018, Stockholm, Suède.https://hal.science/hal-01982945v1
- [22] J. Pan, H. Le Capitaine, P. Leray. Relational Constraints for Metric Learning on Relational Data. In Eighth International Workshop on Statistical Relational AI, IJCAI, juillet 2018, Stockholm, Suède.https://hal.science/hal-02017253v1
- [23] C. Gauzente, P. Kuntz, Y. Roy, A. Milliat. The contribution of computer science and interdisciplinarity research to Q-method. In SAMI International Workshop - Subjectivity As Matter & Instrument, septembre 2018, Nantes, France.https://hal.science/hal-02531832v1
- [24] C. Sinoquet, C. Niel. Ant colony optimization for Markov blanket-based feature selection. Application for precision medicine. In 4th International Conference on Machine Learning, Optimization, and Data Science, LOD2018, septembre 2018, Volterra, Tuscany, Italie.https://hal.science/hal-01986649v1
- [25] C. Gauzente, P. Kuntz, Y. Roy, A. Milliat. Vers une analyse des traces de classement : le cas de la Q méthode. In XXVèmes rencontres de la Société Francophone de Classification, septembre 2018, Paris, France.https://hal.science/hal-02531857v1
- [26] J. Longhi, C. Marinica, Z. Després, C. Plancq. The flow of ideologies between a political figure and a militant community: a CMC corpora analysis. In 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora, septembre 2018, Anvers, Belgique.https://hal.science/hal-01872152v1
- [27] A. Issa, M. Harzallah, G. Berio, N. Béchet, A. Faour. Redefining Hearst Patterns by using Dependency Relations. In 10th International Conference on Knowledge Engineering and Ontology Development, septembre 2018, Seville, France.https://hal.science/hal-01920043v1
- [28] Z. Xu, M. Harzallah, F. Guillet. Comparing of Term Clustering Frameworks for Modular Ontology Learning. In 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, septembre 2018, Seville, Espagne.https://hal.science/hal-01982912v1
- [29] G. Raschia, B. Hervy. Recherche de consensus : les enseignements de la plate-forme RECITAL de transcription participative. In DHNord2018 : Matérialités de la recherche en sciences humaines et sociales, octobre 2018, Lille, France.https://hal.science/hal-02536772v1
- [30] A. Fonnet, T. Vigier, G. Cliquet, F. Picarougne, Y. Prié. Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data. In 4th International Symposium on Big Data Visual and Immersive Analytics, octobre 2018, Konstanz, Allemagne.https://hal.science/hal-01898445v1
- [31] C. Jacquot, M. Jahjah. Glyphes et hyperliens comme signes agentifs : fabrique de l’interactivité dans Poreuse. In Interactivité et éthique, octobre 2018, Montpellier, France.https://hal.science/hal-02018326v1
- [32] V. Raveneau, J. Blanchard, Y. Prié. Progressive sequential pattern mining: steerable visual exploration of patterns with PPMT. In Visualization in Data Science (VDS at IEEE VIS 2018), octobre 2018, Berlin, Allemagne.https://hal.science/hal-01901000v2
- [33] I. Bannour, C. Marinica, L. Bouiller, R. Pillay, C. Darrieumerlou, O. Malavergne, D. Kotzinos, C. Niang. CRMcr - a CIDOC-CRM extension for supporting semantic interoperability in the conservation and restoration domain. In Digital Heritage 2018, octobre 2018, San Francisco, états-Unis.https://hal.science/hal-01872164v1
- [34] G. Raschia, B. Hervy, L. Guo. A First Attempt Towards General Purpose Data Model for Historical Databases. In EADH 2018: Data in Digital Humanities, décembre 2018, Galway, Irlande.https://hal.science/hal-02537059v1
- [35] C. Sinoquet, K. Mekhnacha. Random forest framework customized to handle highly correlated variables: an extensive experimental study applied to feature selection in genetic data.. In IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA2018, octobre 2018, Turin, Italie.In F. Bonchi (éds.), . , 2018.https://hal.science/hal-01986653v1
- [36] C. Sinoquet, K. Mekhnacha. Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.. In 17th International Symposium on Intelligent Data Analysis, IDA2018, octobre 2018, 's-Hertogenbosch, Pays-Bas.In W. Duivesteijn (éds.), . Springer, 2018.https://hal.science/hal-01986660v1
- [37] R. Affogbolo, C. Gauzente, A. Guénoche, P. Kuntz. Méta-analyse ordinale d'enquêtes d'opinion. Application aux usages de l'Internet des objets en entreprise. In 18ème Conférence Internationale sur l'Extraction et la Gestion des Connaissances, janvier 2018, Paris, France.https://hal.science/hal-01997666v1
- [38] C. Marinica, J. Longhi, N. Hassine, A. Alkhouli, B. Borzic. #Idéo2017 : une plateforme citoyenne dédiée à l'analyse des tweets lors des événements politiques. In Extraction et Gestion des Connaissances (EGC), janvier 2018, Paris, France.https://hal.science/hal-01699423v1
- [39] C. Niel, C. Sinoquet. Optimisation par colonie de fourmis pour la sélection de variables par construction stochastique de couverture de Markov - Application pour la médecine de précision.. In 19th edition of the annual congress of the French Society for Operation Research and Decision Assistance, ROADEF2018, février 2018, Lorient, France.https://hal.science/hal-01986671v1
- [40] M. Jahjah. D’un ordre à l’autre : la mise en livre des écrits de réseau chez Publie.net. In Art, littérature et réseaux sociaux, mai 2018, Cerisy, France.https://hal.science/hal-02455245v1
- [41] B. Hervy, P. Pétillon, H. Pigeon, G. Raschia. Correction des données : retour d’expérience sur la plate-forme RECITAL de transcription participative. In INFORSID 2018, mai 2018, Nantes, France.https://hal.science/hal-02536803v1
- [42] B. Pinaud, F. Guillet, B. Crémilleux, C. de Runz. Advances in Knowledge Discovery and Management. 2018 https://hal.science/hal-01623910v1
- [43] R. Gras. La théorie de l'analyse statistique implicative, ou l’invraisemblance du faux. 2018 https://hal.science/hal-01997501v1
- [44] C. Marinica, D. Kotzinos, J. Haji. Protection de la vie privée des individus dans l'analyse de leurs trajectoires de déplacement. In Territoires intelligents : un modèle si smart ?. 18-10-2018 https://hal.science/hal-01944650v1
- [45] M. El Abri. Probabilistic relational models learning from graph databases. Thèses : Université de Nantes. https://theses.hal.science/tel-01901255v1
- [46] R. Rincé. Behaviour Recognition on Noisy Data-streams Constrained by Complex Prior Knowledge. Thèses : Université de nantes. https://theses.hal.science/tel-01983311v1
- [47] W. Siblini. Apprentissage multi-label extrême : Comparaisons d'approches et nouvelles propositions. Thèses : Université de Nantes, Ecole Polytechnique. https://hal.science/tel-02010219v1
- [48] T. Benkhelif. Publication de données individuelles respectueuse de la vie privée : une démarche fondée sur le co-clustering. Thèses : Université de Nantes. https://theses.hal.science/tel-02053043v1
- [49] A. Villière, F. Guillet. Collecte et fouille de données olfactives, ou la complexité des données expérimentales. https://hal.science/hal-01943869v1
- [50] A. Villière, F. Guillet, C. Prost. Olfactometric process: new insights in automated acquisition and data treatment. In 32nd EFFoST International Conference - Developing innovative food structures and functionalities through process and reformulation to satisfy consumer needs and expectations, novembre 2018, Nantes, France.https://hal.science/hal-01943996v1