Mario Villaizán-Vallelado

202320241 2

Belén CarroUniversidad de ValladolidVerified email at tel.uva.es
Antonio Sanchez-EsguevillasU. ValladolidVerified email at tel.uva.es
Bardh PrenkajPostdoc at Sapienza University of RomeVerified email at di.uniroma1.it
Tobias LeemannPhD student, University of TübingenVerified email at uni-tuebingen.de
Gjergji KasneciProfessor at the Technical University of MunichVerified email at tum.de
Carlos SeguraResearch Scientist, Telefonica ResearchVerified email at telefonica.com
Ioannis ArapakisTelefonica ResearchVerified email at telefonica.com
Matteo SalvatoriSenior Data Scientist, Telefónica Research

Verified email at uva.es


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Graph Neural Network contextual embedding for Deep Learning on Tabular Data M Villaizán-Vallelado, M Salvatori, B Carro Martinez, ... Neural Networks 173, 2024	2	2024
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes B Prenkaj, M Villaizan-Vallelado, T Leemann, G Kasneci arXiv preprint arXiv:2308.02353, 2023	1	2023
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation M Villaizán-Vallelado, M Salvatori, C Segura, I Arapakis		2023
Problema de rutas de vehículos con ventanas de tiempo M Villaizán Vallelado Universidad de Valladolid, 2017		2017

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