BASKIOTIS Nicolas
Окончание контракта : 31.12.2021
2020
GÉRALD Thomas : Apprentissage de Représentation pour la classification large échelle .
2016
PUGET Raphaël : Etude de la classification dans un très grand nombre de catégories .
Публикации 2010-2022
All
Статьи в журналах
Статьи
Статьи конференций
Posters
Другие публикации
2022
2019
V. Guiguet, P. Cribier‑Delande, N. Baskiotis, V. Guigue : “Prédiction de séries temporelles multi-variées stationnaires: modélisation du contexte pour l’analyse des données de transports ”, GRETSI 2019, Lille, France (2019)Th. Gerald, N. Baskiotis : “Joint Label/Example Hyperbolic Representation for Extreme Classification ”, Conférence sur l’Apprentissage automatique 2019, Toulouse, France (2019)N. Baskiotis, L. Becirspahic, R. Brault, S. Duguet, V. Guigue, V. Guiguet, S. Lorin, V. Thouvenot : “A Deep Approach of Affluence Forecasting in Subway Networks ”, WCRR 2019 - 12th World Congress on Railway Research, Tokyo, Japan (2019)
2018
E. Tonnelier, N. Baskiotis, V. Guigue, P. Gallinari : “Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework ”, Neurocomputing, vol. 298, pp. 109-121, (Elsevier) (2018)Th. Gerald, N. Baskiotis, L. Denoyer : “Apprentissage stochastique de représentation binaire pour la classification multi-classe dans un grand nombre de catégories ”, Conférence sur l’Apprentissage automatique 2018, Rouen, France (2018)E. Tonnelier, N. Baskiotis, V. Guigue, P. Gallinari : “Factorisation de Tenseurs pour l’analyse de réseaux de mobilité ”, 1ère s Rencontres Francophones Transport-Mobilité (RFTM), Lyon, France (2018)
2017
Th. Gerald, N. Baskiotis, L. Denoyer : “Binary Stochastic Representations for Large Multi-class Classification ”, Neural Information Processing, vol. 10634, Lecture Notes in Computer Science, Guangzhou, China, pp. 155-165, (Springer International Publishing), (ISBN: 978-3-319-70086-1) (2017)E. Tonnelier, N. Baskiotis, V. Guigue, P. Gallinari : “Anomaly detection and characterization in smart card logs using NMF and Tweets ”, ESANN 2017 - 25th European Symposium on Artificial Neural Networks, Bruges, Belgium (2017)
2016
C. Delauney, N. Baskiotis, V. Guigue : “Trajectory Bayesian Indexing : The Airport Ground Traffic Case ”, ITSC 2016 - 19th IEEE Intelligent Transportation Systems Conference, Rio de Janeiro, Brazil (2016)Z. Kraljevic, N. Baskiotis, B. Piwowarski, P. Gallinari : “Représentation temporelle des mots : application au clustering de micro-blogs. ”, Conférence en Recherche d'Infomations et Applications, Toulouse, France, pp. 531-544 (2016)A. Ziat, B. Leroy, N. Baskiotis, L. Denoyer : “Joint prediction of road-traffic and parking occupancy over a city with representation learning ”, 19th IEEE International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil (2016)A. Ziat, G. Contardo, N. Baskiotis, L. Denoyer : “Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series ”, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN, Unknown, (2016)E. Tonnelier, N. Baskiotis, V. Guigue, P. Gallinari : “Smart card in public transportation: designing a analysis system at the human scale ”, ITSC, Rio de Janeiro, Brazil (2016)Ch. Dhanjal, N. Baskiotis, S. Clémençon, N. Usunier : “An empirical comparison of V -fold penalisation and cross-validation for model selection in distribution-free regression ”, Pattern Analysis and Applications, vol. 19 (1), pp. 41-53, (Springer Verlag) (2016)S. Clémençon, N. Baskiotis, N. Vayatis : “Anomaly Ranking in a High Dimensional Space: The Unsupervised TreeRank Algorithm ”, chapter in Unsupervised Learning Algorithms, pp. 33-54, (Springer International Publishing), (ISBN: 978-3-319-24211-8) (2016)M. Poussevin, E. Tonnelier, N. Baskiotis, V. Guigue, P. Gallinari : “Mining ticketing logs for usage characterization with nonnegative matrix factorization ”, chapter in Big Data Analytics in the Social and Ubiquitous Context, vol. 9546, Lecture Notes in Computer Science, pp. 147-164, (Springer), (ISBN: 978-3-319-29008-9) (2016)
2015
G. Tsatsaronis, G. Balikas, P. Malakasiotis, I. Partalas, M. Zschunke, M. Alvers, D. Weissenborn, A. Krithara, S. Petridis, D. Polychronopoulos, Y. Almirantis, J. Pavlopoulos, N. Baskiotis, P. Gallinari, Th. Artières, A.‑C. Ngonga Ngomo, N. Heino, E. Gaussier, L. Barrio‑Alvers, M. Schroeder, I. Androutsopoulos, G. Paliouras : “An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition ”, BMC Bioinformatics, vol. 16 (1), pp. 138, (BioMed Central) (2015)S. Lamprier, N. Baskiotis, T. Ziadi, L. Hillah : “The CARE Platform for the Analysis of Behavior Model Inference Techniques ”, Information and Software Technology, vol. 60, pp. 32-50, (Elsevier) (2015)I. Partalas, A. Kosmopoulos, N. Baskiotis, Th. Artières, G. Paliouras, E. Gaussier, I. Androutsopoulos, M.‑R. Amini, P. Gallinari : “LSHTC: A Benchmark for Large-Scale Text Classification ”, (2015)R. Puget, N. Baskiotis : “Hierarchical Label Partitioning for Large Scale Classification ”, IEEE International Conference on Data Science and Advanced Analytics, DSAA'2015, Paris, France (2015)R. Puget, N. Baskiotis, P. Gallinari : “Sequential Dynamic Classification for Large Scale Multiclass Problems ”, Extreme Classification Workshop at ICML, Lille, France (2015)A. Ziat, G. Contardo, N. Baskiotis, L. Denoyer : “Car-traffic forecasting: A representation learning approach ”, Workshop MUD, Mining Urban Data 201, Unknown, (2015)G. Balikas, N. Baskiotis : “Detecting Influence in User-Activity Logs ”, International Conference on Computational Social Science (ICCSS), Helsinki, Finland (2015)
2014
M. Poussevin, N. Baskiotis, V. Guigue, P. Gallinari : “Mining ticketing logs for usage characterization with nonnegative matrix factorization ”, SenseML 2014 -- ECML Workshop, Nancy, France (2014)S. Lamprier, T. Ziadi, N. Baskiotis, L. Hillah : “Exact and Efficient Temporal Steering of Software Behavioral Model Inference ”, Proc. of 19th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS), Tianjin, China, pp. 166-175, (IEEE) (2014)M. Poussevin, N. Baskiotis, V. Guigue, P. Gallinari : “Factorisation matricielle sous contraintes pour l’analyse des usages du métro parisien ”, CAp'2014 : Conférence d'Apprentissage Automatique, Saint-Etienne, France (2014)R. Puget, N. Baskiotis, P. Gallinari : “Scalable Learnability Measure for Hierarchical Learning in Large Scale Multi-Class Classification ”, WSDM Workshop Web-Scale Classification: Classifying Big Data from the Web, New York, United States (2014)
2013
2012
2011
S. Clémençon, N. Baskiotis, N. Usunier : “Calibrating SVMs with V-fold penalization ”, Proceedings of Neural Information Processing Systems workshop on New Frontiers in Model Order Selection, Sierra Nevada, Spain (2011)
2010
E. Richard, N. Baskiotis, Th. Evgeniou, N. Vayatis : “Link Discovery using Graph Feature Tracking ”, Neural Information Processing Systems, NIPS, vol. 23, Advances in Neural Information Processing Systems, Vancouver, Canada, pp. 1966-1974 (2010)
