Is There a "Right" Semantics for Negation as Failure? - Alberto Torres (DAISD, 1992)

Negation as Failure to Support. - Alberto Torres (LPNMR, 1993)

Hypothetical semantics of logic programs. - Alberto Torres (1994)

A nondeterministic well-founded semantics. - Alberto Torres (Ann. Math. Artif. Intell., 1995)

Graph Theoretical Structures in Logic Programs and Default Theories. - Yannis Dimopoulos; Alberto Torres (Theor. Comput. Sci., 1996)

Sparse Linear Wind Farm Energy Forecast. - Carlos M. Alaíz; Alberto Torres; José R. Dorronsoro (ICANN (2), 2012)

Sparse one hidden layer MLPs. - Alberto Torres; David Díaz; José R. Dorronsoro (ESANN, 2014)

Solving constrained Lasso and Elastic Net using nu-SVMs. - Carlos M. Alaíz; Alberto Torres; José R. Dorronsoro (ESANN, 2015)

Random Forests and Gradient Boosting for Wind Energy Prediction. - Álvaro Alonso; Alberto Torres; José R. Dorronsoro (HAIS, 2015)

Deep Neural Networks for Wind Energy Prediction. - David Díaz; Alberto Torres; José R. Dorronsoro (IWANN (1), 2015)

Nesterov Acceleration for the SMO Algorithm. - Alberto Torres-Barrán; José R. Dorronsoro (ICANN (2), 2016)

Conjugate descent for the SMO algorithm. - Alberto Torres-Barrán; José R. Dorronsoro (IJCNN, 2016)

Machine Learning Prediction of Photovoltaic Energy from Satellite Sources. - Alejandro Catalina; Alberto Torres-Barrán; José R. Dorronsoro (DARE@PKDD/ECML, 2016)

DM-UAV: Dexterous Manipulation Unmanned Aerial Vehicle. - Alberto Torres; Francisco A. Candelas Herías; Damian Mira; Fernando Torres Medina (ICAART (1), 2017)

Satellite Based Nowcasting of PV Energy over Peninsular Spain. - Alejandro Catalina; Alberto Torres-Barrán; José R. Dorronsoro (IWANN (1), 2017)

Deep Fisher Discriminant Analysis. - David Díaz-Vico; Adil Omari; Alberto Torres-Barrán; José Ramón Dorronsoro (IWANN (2), 2017)

Deep Neural Networks for Wind and Solar Energy Prediction. - David Díaz-Vico; Alberto Torres-Barrán; Adil Omari; José R. Dorronsoro (Neural Process. Lett., 2017)

ν-SVM solutions of constrained Lasso and Elastic net. - Alberto Torres-Barrán; Carlos M. Alaíz; José R. Dorronsoro (Neurocomputing, 2018)

Augmented Probability Simulation Methods for Non-cooperative Games. - Tahir Ekin; Roi Naveiro; Alberto Torres-Barrán; David Ríos Insua (CoRR, 2019)

Assessing Supply Chain Cyber Risks. - Alberto Redondo; Alberto Torres-Barrán; David Ríos Insua; Jordi Domingo (CoRR, 2019)

Regression tree ensembles for wind energy and solar radiation prediction. - Alberto Torres-Barrán; Álvaro Alonso; José R. Dorronsoro (Neurocomputing, 2019)

Machine Learning Nowcasting of PV Energy Using Satellite Data. - Alejandro Catalina; Alberto Torres-Barrán; Carlos M. Alaíz; José R. Dorronsoro (Neural Process. Lett., 2020)

Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data. - Daniel Precioso; Manuel Navarro-García; Kathryn Gavira-O'Neill; Alberto Torres-Barrán; David Gordo; Victor Gallego-Alcalá; David Gómez-Ullate (CoRR, 2021)

Faster SVM training via conjugate SMO. - Alberto Torres-Barrán; Carlos M. Alaíz; José R. Dorronsoro (Pattern Recognit., 2021)

How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns. - Manuel Navarro-García; Daniel Precioso; Kathryn Gavira-O'Neill; Alberto Torres-Barrán; David Gordo; Víctor Gallego; David Gómez-Ullate (CoRR, 2022)

Augmented probability simulation methods for sequential games. - Tahir Ekin; Roi Naveiro; David Ríos Insua; Alberto Torres-Barrán (Eur. J. Oper. Res., 2023)