Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots While Playing Soccer. - Nicolás Cruz; Kenzo Lobos-Tsunekawa; Javier Ruiz-del-Solar (RoboCup, 2017)

Neural Network Prediction Interval Based on Joint Supervision. - Nicolás Cruz; Luis G. Marin; Doris Sáez (IJCNN, 2018)

Playing Soccer Without Colors in the SPL: A Convolutional Neural Network Approach. - Francisco Leiva; Nicolás Cruz; Ignacio Bugueño; Javier Ruiz-del-Solar (RoboCup, 2018)

Prediction Intervals With LSTM Networks Trained By Joint Supervision. - Nicolás Cruz; Luis Gabriel Marín; Doris Sáez (IJCNN, 2019)

Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks. - Luis G. Marin; Nicolás Cruz; Doris Sáez; Mark Sumner; Alfredo Núñez (Expert Syst. Appl., 2019)

Generation of Realistic Images for Learning in Simulation using FeatureGAN. - Nicolás Cruz; Javier Ruiz-del-Solar (CoRL, 2020)

Closing the Simulation-to-Reality Gap using Generative Neural Networks: Training Object Detectors for Soccer Robotics in Simulation as a Case Study. - Nicolás Cruz; Javier Ruiz-del-Solar (IJCNN, 2020)

Deep learning applied to humanoid soccer robotics: playing without using any color information. - Nicolás Cruz; Francisco Leiva; Javier Ruiz-del-Solar (Auton. Robots, 2021)