Angel Ayala

Orcid: 0000-0003-0732-7017

According to our database1, Angel Ayala authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
UAV control in autonomous object-goal navigation: a systematic literature review.
Artif. Intell. Rev., May, 2024

2023
Urban Autonomous Driving of Emergency Vehicles with Reinforcement Learning.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Time estimation for deep learning model's inference in distributed processing units.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Re-purposing Machine Learning Models: A Human Action Recognition Model Turned Violence Detector.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022
Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment.
Algorithms, 2022

Convolution Optimization in Fire Classification.
IEEE Access, 2022

Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario.
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.
CoRR, 2021

Embodied morality: Repetitive motor actions change moral decision-making.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment.
CoRR, 2020

Unmanned Aerial Vehicle Control through Domain-Based Automatic Speech Recognition.
Comput., 2020

KutralNet: A Portable Deep Learning Model for Fire Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Comparison of Humanoid Robot Simulators: A Quantitative Approach.
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.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

Reinforcement learning using continuous states and interactive feedback.
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019


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