Clustering Functional Data using Wavelets. - Anestis Antoniadis; Xavier Brossat; Jairo Cugliari; Jean-Michel Poggi (Int. J. Wavelets Multiresolution Inf. Process., 2013)

How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods. - Clément Christophe; Julien Velcin; Jairo Cugliari; Philippe Suignard; Manel Boumghar (AALTD@PKDD/ECML, 2019)

Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application. - Stéphane Bonnevay; Jairo Cugliari; Victoria Granger (SOCO, 2019)

Textual Data for Time Series Forecasting. - David Obst; Badih Ghattas; Sandra Claudel; Jairo Cugliari; Yannig Goude; Georges Oppenheim (CoRR, 2019)

Bagging of density estimators. - Mathias Bourel; Jairo Cugliari (Comput. Stat., 2019)

Monitoring geometrical properties of word embeddings for detecting the emergence of new topics. - Clément Christophe; Julien Velcin; Jairo Cugliari; Manel Boumghar; Philippe Suignard (EMNLP (1), 2021)

Transfer Learning for Linear Regression: a Statistical Test of Gain. - David Obst; Badih Ghattas; Jairo Cugliari; Georges Oppenheim; Sandra Claudel; Yannig Goude (CoRR, 2021)

Change detection in textual classification with unexpected dynamics. - Clément Christophe; Julien Velcin; Jairo Cugliari; Philippe Suignard; Manel Boumghar (Expert Syst. Appl., 2021)

Improved linear regression prediction by transfer learning. - David Obst; Badih Ghattas; Sandra Claudel; Jairo Cugliari; Yannig Goude; Georges Oppenheim (Comput. Stat. Data Anal., 2022)

An evolutionary triclustering approach to discover electricity consumption patterns in France. - David Gutiérrez-Avilés; José F. Torres; Francisco Martínez-Álvarez; Jairo Cugliari (SAC, 2024)

Exploring Semantics in Pretrained Language Model Attention. - Frederic Charpentier; Jairo Cugliari; Adrien Guille (*SEM@NAACL, 2024)

Boosting diversity in regression ensembles. - Mathias Bourel; Jairo Cugliari; Yannig Goude; Jean-Michel Poggi (Stat. Anal. Data Min., 2024)

Textual data for electricity load forecasting. - David Obst; Sandra Claudel; Jairo Cugliari; Badih Ghattas; Yannig Goude; Georges Oppenheim (Qual. Reliab. Eng. Int., 2024)

Ordinal regression for preference learning in wearables using sensor data. - Simón Weinberger; Jairo Cugliari; Aurélie Le Cain (Expert Syst. Appl., 2025)

Policy gradient methods for ordinal policies. - Simón Weinberger; Jairo Cugliari (CoRR, 2025)

Pr{é}diction optimale pour un mod{è}le ordinal {à} covariables fonctionnelles. - Simón Weinberger; Jairo Cugliari; Aurélie Le Cain (CoRR, 2025)