Reinforcement learning using continuous states and interactive feedback. - Angel Ayala; Claudio Henríquez; Francisco Cruz 002 (APPIS, 2019)

Lightweight and efficient octave convolutional neural network for fire recognition. - Angel Ayala; Estanislau Lima; Bruno J. T. Fernandes; Byron L. D. Bezerra; Francisco Cruz 002 (LA-CCI, 2019)

A Comparison of Humanoid Robot Simulators: A Quantitative Approach. - Angel Ayala; Francisco Cruz 002; Diego Campos; Rodrigo Rubio; Bruno J. T. Fernandes; Richard Dazeley (ICDL-EPIROB, 2020)

KutralNet: A Portable Deep Learning Model for Fire Recognition. - Angel Ayala; Bruno J. T. Fernandes; Francisco Cruz 002; David L. Macêdo; Adriano L. I. Oliveira; Cleber Zanchettin (IJCNN, 2020)

Unmanned Aerial Vehicle Control through Domain-Based Automatic Speech Recognition. - Ruben Contreras; Angel Ayala; Francisco Cruz 002 (Comput., 2020)

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment. - Ithan Moreira; Javier Rivas; Francisco Cruz 002; Richard Dazeley; Angel Ayala; Bruno J. T. Fernandes (CoRR, 2020)

Embodied morality: Repetitive motor actions change moral decision-making. - Pablo Solana; Omar Escámez; Angel Ayala; Julio Santiago (CogSci, 2021)

Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task. - Angel Ayala; Francisco Cruz 002; Bruno J. T. Fernandes; Richard Dazeley (CoRR, 2021)

Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario. - Hugo Muñoz; Ernesto Portugal; Angel Ayala; Bruno J. T. Fernandes; Francisco Cruz 002 (SCCC, 2022)

Convolution Optimization in Fire Classification. - Angel Ayala; Bruno José Torres Fernandes; Francisco Cruz 002; David L. Macêdo; Cleber Zanchettin (IEEE Access, 2022)

Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment. - Ernesto Portugal; Francisco Cruz 002; Angel Ayala; Bruno J. T. Fernandes (Algorithms, 2022)

Re-purposing Machine Learning Models: A Human Action Recognition Model Turned Violence Detector. - Letícia Portela; Angel Ayala; Bruno J. T. Fernandes; Igor S. Farias; Gervásio Neto; Mouglas Eugênio Nasário Gomes (LA-CCI, 2023)

Time estimation for deep learning model's inference in distributed processing units. - Ernesto Portugal; Angel Ayala; Francisco Cruz 002; Bruno J. T. Fernandes; Sérgio Murilo Maciel Fernandes (LA-CCI, 2023)

Urban Autonomous Driving of Emergency Vehicles with Reinforcement Learning. - Zherui Tong; Angel Ayala; Eduardo Benítez Sandoval; Francisco Cruz 002 (LA-CCI, 2023)

Safety first: Toward safe action selection with contextual affordances. - Inés Apablaza; Martín Saavedra; Angel Ayala; Bruno J. T. Fernandes; Francisco Cruz 002 (LA-CCI, 2024)

eXplainable Reinforcement Learning Using Introspection in a Competitive Scenario. - Alfonso Opazo; Angel Ayala; Pablo V. A. Barros; Bruno J. T. Fernandes; Francisco Cruz 002 (LA-CCI, 2024)

How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach. - Abdulrahman Althobaiti; Angel Ayala; JingYing Gao; Ali Almutairi; Mohammad Deghat; Imran Razzak; Francisco Cruz 002 (CoRR, 2024)

UAV control in autonomous object-goal navigation: a systematic literature review. - Angel Ayala; Letícia Portela; Fernando Buarque; Bruno J. T. Fernandes; Francisco Cruz 002 (Artif. Intell. Rev., 2024)