A nonlinear aggregation type classifier. - Alejandro Cholaquidis; Ricardo Fraiman; Juan Kalemkerian; Pamela Llop (J. Multivar. Anal., 2016)

On visual distances for spectrum-type functional data. - Alejandro Cholaquidis; Antonio Cuevas; Ricardo Fraiman (Adv. Data Anal. Classif., 2017)

On the classification problem for Poisson point processes. - Alejandro Cholaquidis; Liliana Forzani; Pamela Llop; Leonardo Moreno (J. Multivar. Anal., 2017)

Semi-supervised learning: When and why it works. - Alejandro Cholaquidis; Ricardo Fraiman; Mariela Sued (CoRR, 2018)

Multivariate and functional robust fusion methods for structured Big Data. - Catherine Aaron; Alejandro Cholaquidis; Ricardo Fraiman; Badih Ghattas (J. Multivar. Anal., 2019)

Level set and density estimation on manifolds. - Alejandro Cholaquidis; Ricardo Fraiman; Leonardo Moreno (J. Multivar. Anal., 2022)

On the notion of polynomial reach: a statistical application. - Alejandro Cholaquidis; Antonio Cuevas; Leonardo Moreno (CoRR, 2023)

Conformal inference for regression on Riemannian Manifolds. - Alejandro Cholaquidis; Fabrice Gamboa; Leonardo Moreno (CoRR, 2023)