| Data learning from big data JL Torrecilla, J Romo Statistics & Probability Letters 136, 15-19, 2018 | 82 | 2018 |
| The mRMR variable selection method: a comparative study for functional data JR Berrendero, A Cuevas, JL Torrecilla Journal of Statistical Computation and Simulation 86 (5), 891-907, 2016 | 73 | 2016 |
| On the use of reproducing kernel Hilbert spaces in functional classification JR Berrendero, A Cuevas, JL Torrecilla Journal of the American Statistical Association 113 (523), 1210-1218, 2018 | 68 | 2018 |
| Variable selection in functional data classification: A Maxima-Hunting proposal JR Berrendero, A Cuevas, JL Torrecilla Statistica Sinica 26, 619-638, 2016 | 68 | 2016 |
| scikit-fda: a Python package for functional data analysis C Ramos-Carreño, JL Torrecilla, M Carbajo-Berrocal, P Marcos, A Suárez arXiv preprint arXiv:2211.02566, 2022 | 62 | 2022 |
| dcor: Distance correlation and energy statistics in Python C Ramos-Carreño, JL Torrecilla SoftwareX 22, 101326, 2023 | 46 | 2023 |
| Evolution and study of a copycat effect in intimate partner homicides: A lesson from Spanish femicides JL Torrecilla, L Quijano-Sánchez, F Liberatore, JJ López-Ossorio, ... PLoS One 14 (6), e0217914, 2019 | 28 | 2019 |
| High-fat diet induces metabolic changes and reduces oxidative stress in female mouse hearts I Barba, E Miró-Casas, JL Torrecilla, E Pladevall, S Tejedor, ... The Journal of Nutritional Biochemistry 40, 187-193, 2017 | 21 | 2017 |
| Optimal classification of Gaussian processes in homo-and heteroscedastic settings JL Torrecilla, C Ramos-Carreno, M Sanchez-Montanes, A Suárez Statistics and Computing 30 (4), 1091-1111, 2020 | 14 | 2020 |
| On the theory and practice of variable selection for functional data JL Torrecilla Noguerales | 12* | 2015 |
| Feature selection in functional data classification with recursive maxima hunting JL Torrecilla, A Suárez Advances in Neural Information Processing Systems 29, 2016 | 9 | 2016 |
| GAA-UAM/scikit-fda: Functional Data Analysis in Python C Ramos-Carreño, A Suárez, JL Torrecilla, M Carbajo Berrocal, ... Zenodo, 2019 | 7 | 2019 |
| scikit-fda: Computational tools for machine learning with functional data C Ramos-Carreño, JL Torrecilla, Y Hong, A Suárez 2022 IEEE 34th International Conference on Tools with Artificial …, 2022 | 6 | 2022 |
| Functional diffusion maps M Barroso, CM Alaíz, JL Torrecilla, A Fernández Statistics and Computing 34 (1), 22, 2024 | 4 | 2024 |
| Classification of functional data: A comparative study C Ramos-Carreño, JL Torrecilla, A Suárez 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 4 | 2022 |
| A Distance-Covariance Approach to Variable Selection in Functional Discrimination JR Berrendero, A Cuevas, JL Torrecilla arXiv preprint arXiv:1309.6697, 2013 | 1 | 2013 |
| Análisis de datos funcionales, clasificación y selección de variables JL Torrecilla Noguerales | 1 | 2010 |
| Near-perfect classification rules for second-order stochastic processes A Suárez, JL Torrecilla, C Ramos-Carreno, A Munoz-Perera | | 2024 |
| From Multivariate to Functional Classification JL Torrecilla y-BIS 2019 Conference Book: Recent Advances n Data Sc ence and Bus ness …, 2019 | | 2019 |
| GAA-UAM/scikit-fda: Version 0.4 C Ramos Carreño, A Suárez, JL Torrecilla, M Carbajo Berrocal, ... Zenodo, 0 | | |
Antonio CuevasUniversidad Autónoma de MadridVerified email at uam.es
