Jairo Cugliari

45

Documents

Publications

	Textual data for electricity load forecasting David Obst , Sandra Claudel , Jairo Cugliari , Badih Ghattas , Yannig Goude Quality and Reliability Engineering International, 2024, ⟨10.1002/qre.3637⟩ Journal articles hal-04676877v1
	Boosting Diversity in Regression Ensembles Mathias Bourel , Jairo Cugliari , Yannig Goude , Jean‐michel Poggi Statistical Analysis and Data Mining, 2023, 17 (1), ⟨10.1002/sam.11654⟩ Journal articles hal-03041309v1
	Improved linear regression prediction by transfer learning David Obst , Badih Ghattas , Sandra Claudel , Jairo Cugliari , Yannig Goude Computational Statistics and Data Analysis, 2022, 174, pp.107499. ⟨10.1016/j.csda.2022.107499⟩ Journal articles hal-04673274v1
	Change detection in textual classification with unexpected dynamics Clément Christophe , Julien Velcin , Jairo Cugliari , Philippe Suignard , Manel Boumghar Expert Systems with Applications, 2021, 176, pp.114831. ⟨10.1016/j.eswa.2021.114831⟩ Journal articles hal-03230916v1
	Sensitivity index to measure dependence on parameters for rankings and top- k rankings Antoine Rolland , Jairo Cugliari Journal of Applied Statistics, 2020, 47 (7), pp.1191-1207. ⟨10.1080/02664763.2019.1671963⟩ Journal articles hal-02610998v1
	Bagging of Density Estimators Mathias Bourel , Jairo Cugliari Computational Statistics, 2019, 34 (4), pp.1849-1869. ⟨10.1007/s00180-019-00889-9⟩ Journal articles hal-01856183v2
	Scalable Clustering of Individual Electrical Curves for Profiling and Bottom-Up Forecasting Benjamin Auder , Jairo Cugliari , Yannig Goude , Jean-Michel Poggi Energies, 2018, 11 (7), pp.1893. ⟨10.3390/en11071893⟩ Journal articles hal-02063272v1
	Simulation of multicriteria data Jairo Cugliari , Antoine Rolland EURO journal on decision processes, 2018, 6 (1-2), pp.21-37 Journal articles hal-02053025v1
	Short- time Electricity Demand Forecasting Using a Functional State Space Model Komi Nagbe , Jairo Cugliari , Julien Jacques Energies, 2018, 11 (5), pp.1120. ⟨10.3390/en11051120⟩ Journal articles hal-01701258v2
	A prediction interval for a function-valued forecast model Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi International Journal of Forecasting, 2016, 32 (3), pp.939-947. ⟨10.1016/j.ijforecast.2015.09.001⟩ Journal articles hal-01094797v1
	Une approche fonctionnelle pour la prévision non-paramétrique de la consommation d'électricité Anestis Antoniadis , Xavier Brosat , Jairo Cugliari , Jean-Michel Poggi Journal de la Société Française de Statistique, 2014, 155 (2), pp.202- 219 Journal articles hal-00814530v2
	Clustering Functional Data using Wavelet Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi International Journal of Wavelets, Multiresolution and Information Processing, 2013, 11 (1), pp.1350003:1-30. ⟨10.1142/S0219691313500033⟩ Journal articles hal-00942684v1
	Electricity load forecasting and backcasting with semi-parametric models Raphaël Nedellec , Jairo Cugliari , Yannig Goude International Journal of Forecasting, 2013, 30 (2), pp.375-381. ⟨10.1016/j.ijforecast.2013.07.004⟩ Journal articles hal-00942688v1
	Prévision d'un processus à valeurs fonctionnelles en présence de non stationnarités. Application à la consommation d'électricité Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi Journal de la Société Française de Statistique, 2012, 153 (2), pp.57-78 Journal articles hal-00778121v1
	Functional Clustering using Wavelets Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi International Journal of Wavelets, Multiresolution and Information Processing, 2012 Journal articles hal-00778137v1

	An evolutionary triclustering approach to discover electricity consumption patterns in France David Gutierrez-Aviles , Jose Torres , Francisco Martinez-Alvarez , Jairo Cugliari SAC '24: 39th ACM/SIGAPP Symposium on Applied Computing, Apr 2024, Avila Spain, France. pp.386-394, ⟨10.1145/3605098.3636034⟩ Conference papers hal-04673246v1
	Exploring Semantics in Pretrained Language Model Attention Frédéric Charpentier , Jairo Cugliari , Adrien Guille 13th Joint Conference on Lexical and Computational Semantics (SEM 2024), Jun 2024, Mexico City, Mexico. pp.326-333 Conference papers hal-04634835v1*
	Transfer Learning on Generalized Linear Regression Mathias Bourel , Jairo Cugliari Joint Statistical Meeting, American Statistical Association, Aug 2023, Toronto, Canada Conference papers hal-04240257v1
	Monitoring geometrical properties of word embeddings for detecting the emergence of new topics Clément Christophe , Julien Velcin , Jairo Cugliari , Manel Boumghar , Philippe Suignard 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Punta Cana, Dominican Republic. ⟨10.18653/v1/2021.emnlp-main.76⟩ Conference papers hal-03699173v1
	How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods Clément Christophe , Julien Velcin , Jairo Cugliari , Philippe Suignard , Manel Boumghar Advanced Analytics and Learning on Temporal Data, Sep 2019, Würzburg, Germany. pp.110-125, ⟨10.1007/978-3-030-39098-3_9⟩ Conference papers hal-02517546v1
	Interaction or Correlation? An analysis of Choquet integral approach in MCDA real situations Antoine Rolland , Jairo Cugliari DA2PL 2018 workshop, Nov 2018, Poznan, Poland Conference papers hal-02053427v1
	Prévision journalière de la consommation d’électricité à l’aide d’un modèle à espace d’états fonctionnel Komi Nagbe , Jairo Cugliari , Julien Jacques Journées Des Statistiques, May 2018, Paris, France Conference papers hal-01785221v1
	Predictive Maintenance of Smartmeter's Concentrators Jairo Cugliari , Stéphane Bonnevay , Pierre Achaicha European Network for Business and Industrial Statistics, Sep 2017, Naples, Italy Conference papers hal-01807072v1
	Prévision de génération d'électricité à partir de sources renouvelables Komi Nagbe , Jairo Cugliari , Adrien Thebault , Julien Jacques 49èmes Journées de Statistique organisée par la Société Française de Statistique, May 2017, Avignon, France Conference papers hal-01705287v1
	Modèles de prévision de demande d’électricité. Application au système uruguayenne. Andrés Castrillejo , Jairo Cugliari , Fernando Massa , Ignacio Ramirez Journées de Statistique, May 2017, Avignon, France Conference papers hal-01539443v1
	Simulating new multicriteria data from a given data set Antoine Rolland , Jairo Cugliari DA2PL 2016 workshop, Nov 2016, Paderborn, Germany Conference papers hal-02053434v1
	On the use of copulas to simulate multicriteria data Antoine Rolland , Jairo Cugliari , T.M.T Tran DA2PL 2014 Workshop, Nov 2014, Mons, Belgium Conference papers hal-02053440v1
	Making Regional Forecast add up Tim van Erven , Jairo Cugliari international workshop on Industry Practices for Forecasting, Jun 2013, Paris, France Conference papers hal-00943529v1
	Non parametric forecasting of a function-valued non stationary processes. Application to the electricity demand Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi 5th International Conference of the ERCIM Working Group on Computing and Statistics, 2012, Oviedo, Spain Conference papers hal-00944068v1
	Clustering Functional data using wavelets Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi COMPSTAT 2010 - 19th International Conference on Computational Statistics, Aug 2010, Paris, France. pp.697-704 Conference papers hal-00853949v1
	Classification non supervisée des données fonctionnelles avec ondelettes Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi 42èmes Journées de Statistique, Société Française de Statistique, May 2010, Marseille, France Conference papers inria-00494715v1
	Forecasting power electricity demand using a functional non parametric model Jairo Cugliari Workshop Industry & Price Forecasting, EDF R&D, 2010, Clamart Conference papers hal-00944115v1

	Generating experts by boosting diversity Mathias Bourel , Jairo Cugliari , Yannig Goude , Jean-Michel Poggi 2020 Preprints, Working Papers, ... hal-02503926v1
	Predictive maintenance from event logs using wavelet-based features: an industrial application Stéphane Bonnevay , Jairo Cugliari , Victoria Granger 2018 Preprints, Working Papers, ... hal-01856309v1
	Game-theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series Forecasts Tim van Erven , Jairo Cugliari 2013 Preprints, Working Papers, ... hal-00920559v1
	Conditional Autoregressive Hilbertian processes Jairo Cugliari 2013 Preprints, Working Papers, ... hal-00788249v1

	Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application Stéphane Bonnevay , Jairo Cugliari , Victoria Granger 14th International Conference on Soft Computing Models in Industrial and Environmental Applications, pp.132-141, 2019, ⟨10.1007/978-3-030-20055-8_13⟩ Book sections hal-02517409v1
	Electricity Demand Forecasting: the Uruguayan Case Andrés Castrillejo , Jairo Cugliari , Fernando Massa , Ignacio Ramirez Renewable Energy: Forecasting and Risk Management, 2018, ⟨10.1007/978-3-319-99052-1_6⟩ Book sections hal-01787143v1
	Electricity Demand Forecasting Jairo Cugliari , Jean-Michel Poggi N. Balakrishnan; T. Colton; B. Everitt; W. Piegorsch; F. Ruggeri; J.L. Teugels (Eds). Wiley StatsRef: Statistics Reference Online, 1, Wiley, 2018, ⟨10.1002/9781118445112.stat08087⟩ Book sections hal-04673276v1

	Prévision d'un processus à valeurs fonctionnelles en présence de non stationnarités. Application à la consommation d'électricité. Anestis Antoniadis , Xavier Brosat , Jairo Cugliari , Jean-Michel Poggi [Rapport de recherche] RR-7982, INRIA. 2012 Reports hal-00703570v1
	Clustering functional data using wavelets Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi [Research Report] RR-7515, INRIA Grenoble - Rhone-Alpes. 2011, pp.30 Reports inria-00559115v2

	Prévision non paramétrique de processus à valeurs fonctionnelles : application à la consommation d’électricité Jairo Cugliari Mathématiques générales [math.GM]. Université Paris Sud - Paris XI, 2011. Français. ⟨NNT : 2011PA112234⟩ Theses tel-00647334v1

	Assessing Imputation of Extreme Data on Climatological Time Series Jairo Cugliari , José G Gómez Conference on non-stationarity, Jun 2018, Cergy-Pontoise, France. Conference poster hal-01812715v1

	Contribution à l’apprentissage statistique de données issues de nouvelles sources Jairo Cugliari Statistiques [stat]. Université Lumière Lyon 2, 2021 Habilitation à diriger des recherches tel-04673280v1

	Statistical Learning Tools for Electricity Load Forecasting Anestis Antoniadis , Jairo Cugliari , Matteo Fasiolo , Yannig Goude , Jean-Michel Poggi Springer International Publishing, 2024, Statistics for Industry, Technology, and Engineering, ⟨10.1007/978-3-031-60339-6⟩ Books hal-04673275v1