21 citations
- Gabriele Dessena2 · h 8
- M. C. Aguilera-Morillo2 · h 11
- O. Bonilla-Manrique2 · h 7
- R. Lillo2 · h 22
- Aitor Vicente-Cano1 · h 3
- Aldo Moreno-Oyervides1 · h 5
- Alessandro Pontillo1 · h 11
- Álvaro Méndez Civieta1 · h 1
- Álvaro Méndez-Civieta1 · h 2
- Ana Fernández Vilas1 · h 7
- 'Angela Tajuelo-Valbuena1 · h 0
- Bernat Frangi1 · h 0
- Universitat Politècnica de ValènciaES2 papers
- BiocomUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro Nacional de BiotecnologíaES1 paper
- Cranfield UniversityGB1 paper
- École PolytechniqueFR1 paper
- IMDEA MaterialsES1 paper
- Institute for Cross-Disciplinary Physics and Complex SystemsES1 paper
- Instituto de Biocomputación y Física de Sistemas Complejos1 paper
- Instituto de Estructura de la MateriaES1 paper
- Institut Polytechnique de ParisFR1 paper
- Polish Academy of SciencesPL1 paper
13 papers
Asymptotic for orthogonal polynomials with respect to a rational modification of a measure supported on the semi-axis
C. Féliz-Sánchez, H. Pijeira-Cabrera, J. Quintero-Roba
Given a sequence of orthogonal polynomials , orthogonal with respect to a positive Borel measure supported on , let …
Fast Partial Quantile Regression
Alvaro Mendez Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
Partial least squares (PLS) is a dimensionality reduction technique used as an alternative to ordinary least squares (OLS) in situations where the data is colinear or high dimensio…
Adaptive sparse group LASSO in quantile regression
Ãlvaro Méndez Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
This paper studies the introduction of sparse group LASSO (SGL) to the quantile regression framework. Additionally, a more flexible version, an adaptive SGL is proposed based on th…
Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles
Marwan Lazrag, Badis Hammi, Lorena Gonzalez-Manzano +1
Poisoning attacks against public datasets lead to major concerns, such as (i) misclassification of perceived objects when the poisoned data is used for training and (ii) embedding…
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
Diego Cajaraville-Aboy, Marta Moure-Garrido, Carlos Beis-Penedo +5
The use of DNS over HTTPS (DoH) tunneling by an attacker to hide malicious activity within encrypted DNS traffic poses a serious threat to network security, as it allows malicious…
On leveraging constrained smooth additive regression models for global optimization
Marina Cuesta, Claudia D'Ambrosio, MarÃa Durban +2
Many real-world decision-making processes rely on solving mixed-integer nonlinear programs (MINLPs). However, finding high-quality solutions to MINLPs is often computationally dema…