Angel Ayala

According to our database, Angel Ayala authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Urban Autonomous Driving of Emergency Vehicles with Reinforcement Learning.

Zherui Tong, Angel Ayala, Eduardo Benítez Sandoval, Francisco Cruz

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Time estimation for deep learning model's inference in distributed processing units.

Ernesto Portugal, Angel Ayala, Francisco Cruz, Bruno J. T. Fernandes, Sérgio Murilo Maciel Fernandes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

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

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022

Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment.

Ernesto Portugal, Francisco Cruz, Angel Ayala, Bruno J. T. Fernandes

Algorithms, 2022

Convolution Optimization in Fire Classification.

Angel Ayala, Bruno José Torres Fernandes, Francisco Cruz, David Macêdo, Cleber Zanchettin

IEEE Access, 2022

Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario.

Hugo Muñoz, Ernesto Portugal, Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz

Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

2021

Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task.

Angel Ayala, Francisco Cruz, Bruno J. T. Fernandes, Richard Dazeley

CoRR, 2021

Embodied morality: Repetitive motor actions change moral decision-making.

Pablo Solana, Omar Escámez, Angel Ayala, Julio Santiago

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2020

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment.

Ithan Moreira, Javier Rivas, Francisco Cruz, Richard Dazeley, Angel Ayala, Bruno J. T. Fernandes

CoRR, 2020

Unmanned Aerial Vehicle Control through Domain-Based Automatic Speech Recognition.

Ruben Contreras, Angel Ayala, Francisco Cruz

Comput., 2020

KutralNet: A Portable Deep Learning Model for Fire Recognition.

Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Comparison of Humanoid Robot Simulators: A Quantitative Approach.

Angel Ayala, Francisco Cruz, Diego Campos, Rodrigo Rubio, Bruno J. T. Fernandes, Richard Dazeley

Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

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

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

Reinforcement learning using continuous states and interactive feedback.

Angel Ayala, Claudio Henríquez, Francisco Cruz

Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019