Heterogeneous cooperative coevolution: strategies of integration between GP and GA. - Leonardo Vanneschi; Giancarlo Mauri; Andrea Valsecchi; Stefano Cagnoni (GECCO, 2006)

A Study of Some Implications of the No Free Lunch Theorem. - Andrea Valsecchi; Leonardo Vanneschi (EvoWorkshops, 2008)

Limitations of the fitness-proportional negative slope coefficient as a difficulty measure. - Leonardo Vanneschi; Andrea Valsecchi; Riccardo Poli (GECCO, 2009)

An Efficient Simulation of Polynomial-Space Turing Machines by P Systems with Active Membranes. - Andrea Valsecchi; Antonio E. Porreca; Alberto Leporati; Giancarlo Mauri; Claudio Zandron (Workshop on Membrane Computing, 2009)

A Study on the Automatic Generation of Asynchronous Cellular Automata Rules by Means of Genetic Algorithms. - Andrea Valsecchi; Leonardo Vanneschi; Giancarlo Mauri (ACRI, 2010)

Optimization speed and fair sets of functions. - Andrea Valsecchi; Leonardo Vanneschi; Giancarlo Mauri (GECCO, 2010)

An image registration approach using genetic algorithms. - Andrea Valsecchi; Sergio Damas; José Santamaría (IEEE Congress on Evolutionary Computation, 2012)

Evolutionary medical image registration using automatic parameter tuning. - Andrea Valsecchi; Jérémie Dubois-Lacoste; Thomas Stützle; Sergio Damas; José Santamaría; Linda Marrakchi-Kacem (IEEE Congress on Evolutionary Computation, 2013)

Genetic algorithms for Voxel-based medical image registration. - Andrea Valsecchi; Sergio Damas; José Santamaría; Linda Marrakchi-Kacem (CIMI, 2013)

Automatic evolutionary medical image segmentation using deformable models. - Andrea Valsecchi; Pablo Mesejo; Linda Marrakchi-Kacem; Stefano Cagnoni; Sergio Damas (IEEE Congress on Evolutionary Computation, 2014)

Intensity-based image registration using scatter search. - Andrea Valsecchi; Sergio Damas; José Santamaría; Linda Marrakchi-Kacem (Artif. Intell. Medicine, 2014)

A study of search algorithms' optimization speed. - Andrea Valsecchi; Leonardo Vanneschi; Giancarlo Mauri (J. Comb. Optim., 2014)

Bacterial Foraging Optimization for intensity-based medical image registration. - Enrique Bermejo Nievas; Andrea Valsecchi; Sergio Damas; Oscar Cordón (CEC, 2015)

Biomedical image segmentation using geometric deformable models and metaheuristics. - Pablo Mesejo; Andrea Valsecchi; Linda Marrakchi-Kacem; Stefano Cagnoni; Sergio Damas (Comput. Medical Imaging Graph., 2015)

Genetic algorithms for skull-face overlay including mandible articulation. - Enrique Bermejo Nievas; Carmen Campomanes-Álvarez; Andrea Valsecchi; Óscar Ibáñez; Sergio Damas; Oscar Cordón (Inf. Sci., 2017)

3D-2D silhouette-based image registration for comparative radiography-based forensic identification. - Óscar Gómez; Óscar Ibáñez; Andrea Valsecchi; Oscar Cordón; Tzipi Kahana (Pattern Recognit., 2018)

A Robust and Efficient Method for Skull-Face Overlay in Computerized Craniofacial Superimposition. - Andrea Valsecchi; Sergio Damas; Oscar Cordón (IEEE Trans. Inf. Forensics Secur., 2018)

Metaheuristics for Medical Image Registration. - Andrea Valsecchi; Enrique Bermejo Nievas; Sergio Damas; Oscar Cordón (Handbook of Heuristics, 2018)

Improving Comparative Radiography by Multi-resolution 3D-2D Evolutionary Image Registration. - Óscar Gómez; Óscar Ibáñez; Andrea Valsecchi; Oscar Cordón (HAIS, 2019)

Automatic cephalometric landmarks detection on frontal faces: An approach based on supervised learning techniques. - Lucas Faria Porto; Laise Nascimento Correia Lima; Marta Regina Pinheiro Flores; Andrea Valsecchi; Óscar Ibáñez; Carlos Eduardo Machado Palhares; Flavio de Barros Vidal (Digit. Investig., 2019)

A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses. - Óscar Gómez; Pablo Mesejo; Óscar Ibáñez; Andrea Valsecchi; Oscar Cordón (CEC, 2020)

Stochastic 3D rock reconstruction using GANs. - Andrea Valsecchi; Sergio Damas (ICPR, 2020)

Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D-2D Comparative Radiography. - Óscar Gómez; Óscar Ibáñez; Andrea Valsecchi; Enrique Bermejo Nievas; Daniel Molina; Oscar Cordón (Appl. Soft Comput., 2020)

Stochastic reconstruction of 3D porous media from 2D images using generative adversarial networks. - Andrea Valsecchi; Sergio Damas; Cristina Tubilleja; Javier Arechalde (Neurocomputing, 2020)

Deep architectures for high-resolution multi-organ chest X-ray image segmentation. - Óscar Gómez; Pablo Mesejo; Óscar Ibáñez; Andrea Valsecchi; Oscar Cordón (Neural Comput. Appl., 2020)

Automatic landmark annotation in 3D surface scans of skulls: Methodological proposal and reliability study. - Enrique Bermejo Nievas; Kei Taniguchi; Yoshinori Ogawa; Rubén Martos; Andrea Valsecchi; Pablo Mesejo; Óscar Ibáñez; Kazuhiko Imaizumi (Comput. Methods Programs Biomed., 2021)

FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. - Enrique Bermejo Nievas; Enrique Fernández-Blanco; Andrea Valsecchi; Pablo Mesejo; Óscar Ibáñez; Kazuhiko Imaizumi (Expert Syst. Appl., 2022)

Study on the identification limits of craniofacial superimposition. - Óscar Ibáñez; Enrique Bermejo Nievas; Andrea Valsecchi (CoRR, 2023)

Evidence evaluation in craniofacial superimposition using likelihood ratios. - Práxedes Martínez-Moreno; Andrea Valsecchi; Pablo Mesejo; Óscar Ibáñez; Sergio Damas (Inf. Fusion, 2024)