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hal-00712310v1  Journal articles
Pierre-François MarteauNicolas BonnelGilbas Ménier. Discrete Elastic Inner Vector Spaces with Application in Time Series and Sequence Mining
IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2012, 25 (9), pp.2024-2035. ⟨10.1109/TKDE.2012.131⟩
hal-01308039v1  Journal articles
Ihsen HedhliGabriele MoserJosiane ZerubiaSebastiano Serpico. A New Cascade Model for the Hierarchical Joint Classification of Multitemporal and Multiresolution Remote Sensing Data
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016, 54 (11), pp.6333 - 6348
hal-00705373v1  Conference papers
Michel FliessCédric Join. Preliminary remarks on option pricing and dynamic hedging
1st International Conference on Systems and Computer Science, Aug 2012, Villeneuve d'Ascq, France. pp.CDROM
inria-00440669v3  Conference papers
Daniil Ryabko. Sequence prediction in realizable and non-realizable cases
Conference on Learning Theory, 2010, Haifa, Israel. pp.119-131
tel-00920184v1  Theses
Azadeh Khaleghi. On Some Unsupervised Learning Problems for Highly Dependent Time Series
Statistics [math.ST]. Institut national de recherche en informatique et en automatique (INRIA), 2013. English
inria-00319076v7  Conference papers
Daniil Ryabko. An impossibility result for process discrimination
International Symposium on Information Theory, IEEE, 2009, Seoul, South Korea. pp.1734-1738
inria-00352834v1  Conference papers
Michel FliessCédric Join. A mathematical proof of the existence of trends in financial time series
Systems Theory: Modelling, Analysis and Control, May 2009, Fes, Morocco. pp.43-62
hal-00562488v1  Conference papers
Michel FliessCédric JoinFrédéric Hatt. Volatility made observable at last
3èmes Journées Identification et Modélisation Expérimentale, JIME'2011, Apr 2011, Douai, France. pp.CDROM
inria-00338099v2  Conference papers
Michel FliessCédric Join. Time Series Technical Analysis via New Fast Estimation Methods: A Preliminary Study in Mathematical Finance
IAR-ACD08 (23rd IAR Workshop on Advanced Control and Diagnosis), Nov 2008, Coventry, United Kingdom
inria-00477238v2  Conference papers
Daniil Ryabko. Clustering processes
27th International Conference on Machine Learning, Jun 2010, Haifa, Israel. pp.919-926
inria-00610009v2  Journal articles
Daniil Ryabko. Uniform hypothesis testing for finite-valued stationary processes
Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2014, 48 (1), pp.121-128. ⟨10.1080/02331888.2012.719511⟩
tel-00675680v2  Habilitation à diriger des recherches
Machine Learning [cs.LG]. Université des Sciences et Technologie de Lille - Lille I, 2011
hal-00913253v1  Journal articles
Boris RyabkoDaniil Ryabko. A confidence-set approach to signal denoising
Statistical Methodology, Elsevier, 2013, 15, pp.115--120. ⟨10.1016/j.stamet.2013.05.003⟩
hal-02907937v1  Conference papers
Sagar VermaNicolas HenwoodMarc CastellaAl JebaiJean-Christophe Pesquet. Neural networks based speed-torque estimators for induction motors and performance metrics
IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society, Oct 2020, Singapore, Singapore. pp.495-500, ⟨10.1109/IECON43393.2020.9255236⟩
hal-00559561v2  Journal articles
Charles BouveyronJulien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces
Advances in Data Analysis and Classification, Springer Verlag, 2011, 5 (4), pp.281-300. ⟨10.1007/s11634-011-0095-6⟩
halshs-01561461v1  Conference papers
Romain TavenardSimon MalinowskiLaetitia ChapelAdeline BaillyHeider Sanchez et al.  Efficient Temporal Kernels between Feature Sets for Time Series Classification
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, Sep 2017, Skopje, Macedonia
halshs-01184900v1  Conference papers
Adeline BaillySimon MalinowskiRomain TavenardThomas GuyetLaetitia Chapel. Bag-of-Temporal-SIFT-Words for Time Series Classification
ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2015, Porto, Portugal
hal-02361793v1  Conference papers
Tuan NguyenNicolas MégerChristophe RigottiCatherine PothierNoel Gourmelen et al.  A pattern-based mining system for exploring Displacement Field Time Series
19th IEEE International Conference on Data Mining (ICDM) Demo, Nov 2019, Beijing, China. pp.1110-1113
hal-02883389v1  Journal articles
Johann FaouziHicham Janati. pyts: A Python Package for Time Series Classification
Journal of Machine Learning Research, Microtome Publishing, 2020, 21, pp.1 - 6
hal-01845008v3  Journal articles
Anna GogolouTheophanis TsandilasThemis PalpanasAnastasia Bezerianos. Comparing Similarity Perception in Time Series Visualizations
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2018, TVCG 2019 (InfoVis 2018), 25 (1), pp.523 - 533. ⟨10.1109/TVCG.2018.2865077⟩
hal-01394000v1  Conference papers
Hatem MezaacheHassen BouzgouChristian Raymond. Kernel Principal Components Analysis with Extreme Learning Machines for Wind Speed Prediction
Seventh International Renewable Energy Congress, IREC2016, Mar 2016, Hammamet, Tunisia
hal-03122282v1  Conference papers
Gerardo Rubino. Machine Learning Tools for Forecasting Correlated Time Series (keynote)
ICSADADS 2020 - International Conference on Statistical Applications in Data Analytics & Data Science, Feb 2020, Coimbatore, India