Invisible link to canonical for Microformats

Publications

Preprints

  1. Weinberger, Simon and Cugliari, Jairo. Trust Region Policy Optimization for Functional Linear Policies. (submitted), 2025.

  2. Le Cain, Aurélie and Cugliari, Jairo and Folignoni, Cédric and Ratnarajah, Ethan and Pic, Eléonore. Transfer learning and self-training comparison to customize functions of a Smart Eyewear for a new wearer. (en révision), 2025.

Livres

  1. Antoniadis, Anestis and Cugliari, Jairo and Goude, Yannig and Fasiolo, Matteo and Poggi, Jean-Michel. Statistical Learning Tools for Electricity Load Forecasting. ISTE, 2024.

Couverture du livre

Articles en revues

  1. Cugliari, Jairo and Devijver, Emilie and Meynaoui, Anouar and Mignot, Raphaël. Some recent advances in functional data analysis. ESAIM: ProcS, 2025.

  2. Bourel, Mathias and Cugliari, Jairo. Density estimation using a kernel function for the root-unroot procedure. Communications in Statistics - Simulation and Computation, 2025.

  3. Weinberger, Simón and Cugliari, Jairo and Le Cain, Aurélie. Ordinal regression for preference learning in wearables using sensor data. Expert Systems with Applications, 2025.

  4. Hernández, Nicolás and Cugliari, Jairo and Jacques, Julien. Simultaneous predictive bands for functional time series using minimum entropy sets. Communications in Statistcs, 2024.

  5. Obst, David and Ghattas, Badih and Claudel, Sandra and Cugliari, Jairo and Goude, Yannig and Oppenheim, Georges. Textual Data for Electricity Load Forecasting. Quality and Reliability Engineering International, 2024.

  6. Obst, David and Ghattas, Badih and Cugliari, Jairo and Oppenheim, Georges and Claudel, Sandra and Goude, Yannig. Improved Linear Regression by Transfer Learning: a Statistical Test of Gain. Computational Stastistics and Data Analysis, 2022.

  7. Christophe, Clément and Velcin, Julien and Cugliari, Jairo and Suignard, Philippe and Boumghar, Manel. Change detection in textual classification with unexpected dynamics. Expert Sytems with Applications, 2021.

  8. Rolland, Antoine and Cugliari, Jairo. Sensitivity index to measure dependence on parameters for rankings and top-k rankings. Journal of Applied Statistics, 2020.

  9. Bourel, Mathias and Cugliari, Jairo and Goude, Yannig and Poggi, Jean-Michel. Boosting Diversity in Regression Ensembles. Statistical Analysis and Data Mining: The ASA Data Science Journal, 2020.

  10. Bourel, Mathias and Cugliari, Jairo. Bagging of density estimators. Computational Statistics, 2019.

  11. Nagbe, Komi and Cugliari, Jairo and Jacques, Julien. Short-Term Electricity Demand Forecasting Using a Functional State Space Model. Energies, 2018.

  12. Auder, Benjamin and Cugliari, Jairo and Goude, Yannig and Poggi, Jean-Michel. Scalable Clustering of Individual Electrical Curves for Profiling and Bottom-Up Forecasting. Energies, 2018.

  13. Cugliari, Jairo and Rolland, Antoine. Simulation of multicriteria data. EURO Journal on Decision Processes, 2018.

  14. Antoniadis, Anestis and Brossat, Xavier and Cugliari, Jairo and Poggi, Jean-Michel. A prediction interval for a function-valued forecast model: Application to load forecasting. International Journal of Forecasting, 2016.

  15. Nedellec, Raphael and Cugliari, Jairo and Goude, Yannig. GEFCom2012: Electric load forecasting and backcasting with semi-parametric models. International Journal of Forecasting, 2014.

  16. Antoniadis, Anestis and Brossat, Xavier and Cugliari, Jairo and Poggi, Jean-Michel. Une approche fonctionnelle pour la prévision non-paramétrique de la consommation d’électricité. Journal de la société française de statistique, 2014.

  17. Antoniadis, Anestis and Brossat, Xavier and Cugliari, Jairo and Poggi, Jean-Michel. Clustering Functional Data Using Wavelets. International Journal of Wavelets, Multiresolution and Information Processing, 2013.

  18. Antoniadis, Anestis and Brossat, Xavier and Cugliari, Jairo and Poggi, Jean-Michel. Prévision d’un processus à valeurs fonctionnelles en présence de non stationnarités. Application à la consommation d’électricité. Journal de la société française de statistique, 2012.

Chapitres en ouvrages collectifs

  1. Castrillejo, Andrés and Cugliari, Jairo and Massa, Fernando and Ramirez, Ignacio. Electricity Demand Forecasting: The Uruguayan Case. Renewable Energy: Forecasting and Risk Management, 2018.

  2. Cugliari, Jairo and Poggi, Jean-Michel. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online, 2018.

  3. van Erven T. and J., Cugliari. Game-Theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series Forecasts. Modeling and Stochastic Learning for Forecasting in High Dimensions, 2015.

Actes de conférences

Conférences internationales

  1. Weinberger, Simón and Cugliari, Jairo and Le Cain, Aurélie. Continuous Learning of Ordinal User Preferences on Wearable Devices. ECML (accepted), 2025.

  2. Weinberger, Simon and Cugliari, Jairo. Adaptive Tint Control for Smart Electrochromic Eyewear (Short Paper). Workshop: Eyes Of The Future: Integrating Artificial Intelligence in Smart Eyewear (IAISE), satellite of IJCNN 2025, 2025.

  3. Charpentier, Frédéric and Cugliari, Jairo and Guille, Adrien. Exploring Semantics in Pretrained Language Model Attention. Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024), 2024.

  4. Weinberger, Simón and Cugliari, Jairo and Cain, Aurélie Le. Learning Ordinal Preferences on Wearable Devices through Reinforcement Learning using Time-Dependent States. ENBIS Conference, 2024.

  5. Aviles, David Gutierres and Martinez, Francisco and Torres, Jose F and Cugliari, Jairo. An evolutionary triclustering approach to discover electricity consumption patterns in France. ACM SAC24, 2023.

  6. Christophe, Clément and Velcin, Julien and Cugliari, Jairo and Boumghar, Manel and Suignard, Philippe. Monitoring geometrical properties of word embeddings for detecting the emergence of new topics.. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021.

  7. Bourel, Mathias and Cugliari, Jairo and Goude, Yannig and Poggi, Jean-Michel. Generating experts by boosting diversity. Proceedings of the 63rd ISI World Statistics Congress, 2021.

  8. Cugliari, Jairo and Hernández, Nicolás and Jacques, Julien. Simultaneous predictive bands for functional time series using minimum entropy sets. 15th International Conference on Computational and Financial Econometrics (CFE), 2021.

  9. Christophe, Clément and Velcin, Julien and Cugliari, Jairo and Suignard, Philippe and Boumghar, Manel. How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods. Advanced Analytics and Learning on Temporal Data, 2020.

  10. Bonnevay, Stéphane and Cugliari, Jairo and Granger, Victoria. Predictive maintenance from event logs using wavelet-based features: an industrial application. International Workshop on Soft Computing Models in Industrial and Environmental Applications, 2019.

  11. Cugliari, J. and Goude, Y. and Poggi, J. M.. Disaggregated electricity forecasting using wavelet-based clustering of individual consumers. 2016 IEEE International Energy Conference (ENERGYCON), 2016.

  12. Antoniadis, Anestis and Brossat, Xavier and Cugliari, Jairo and Poggi, Jean-Michel. Clustering Functional data using wavelets. COMPSTAT 2010 - 19th International Conference on Computational Statistics, 2010.

Conférences nationales

  1. Charpentier, Frédéric and Guille, Adrien and Cugliari, Jairo. Alignements entre attention et sémantique dans des modèles de langues pré-entraînés. 32è Conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2025.

  2. Weinberger, Simón and Cugliari, Jairo. Une approche policy-gradient pour des actions ordinales. Journées de Statistique de la SFdS, 2025.

  3. Weinberger, Simon and Cugliari, Jairo and Le Cain, Aurélie. Modèles de régression ordinal cumulatif à covariables temporelles. Journées de Statistique, SFdS 2024, 2024.

  4. Charpentier, Frédéric and Cugliari, Jairo and Guille, Adrien. Exploration de la sémantique dans l’attention d’un modèle de langue pré-entraîné. 26ème Conférence sur l’Apprentissage Automatique (CAP), 2024.

  5. Bourel, Mathias and Cugliari, Jairo. Density estimation through a kernelized version of the root-unroot procedure. 54es Journées de Statistique, 2023.

  6. Cugliari, Jairo and De Mello, Santiago and Renom, Madeleine. Imputation of temperature extremes using Generalized Additive Models. 50-èmes Journées de Statistique, 2018.

  7. Nagbe, Komi and Cugliari, Jairo and Thebault, Adrien and Jacques, Julien. Prévision de génération d’électricité à partir de sources renouvelables. 48-èmes Journées de Statistique, 2017.

  8. Cugliari, Jairo and Goude, Yannig and Poggi, Jean-Michel. Classification de courbes individuelles et prévision désagrégée de la consommation électrique. 47-èmes Journées de Statistique, 2015.

  9. Auder, B. and Cugliari, J.. Parallélisation de l’algorithme des k-médoıdes. Application au clustering de courbes.. 46èmes Journées de Statistique de la SFdS, 2014.

  10. Cugliari, Jairo. Processus Autorégressif Hilbertien Conditionnel. 44èmes Journées de Statistique, 2012.

  11. Antoniadis, Anestis and Brossat, Xavier and Cugliari, Jairo and Poggi, Jean-Michel. Classification non supervisée des données fonctionnelles avec ondelettes. 42èmes Journées de Statistique, 2010.

Manuscrits

  1. Cugliari, Jairo. Contribution to the stastical learning of data coming from new sources. Habilitation à Diriger de Recherches, Université Lumière Lyon 2, 2021.

  2. Cugliari, Jairo. Non parametric forecasting of functional-valued processes : application to the electricity load. Thèse de doctorat, Université Paris Sud - Paris XI, 2011.

  3. Cugliari, Jairo. Prévision de la consommation électrique par techniques et algorithmes non paramétriques appliqués à des variables fonctionnelles. Mémoire de master, Université de la Méditerranée, 2008.

  4. Cugliari, Jairo. Efectos de tratamientos silvı́colas sobre las variables dendrométricas en Eucaliptus en suelos de Rivera. Tesis de grado, Universidad de la Republica, Uruguay, 2007.