| Deep reinforcement learning with interactive feedback in a human–robot environment I Moreira, J Rivas, F Cruz, R Dazeley, A Ayala, B Fernandes Applied Sciences 10 (16), 5574, 2020 | 54 | 2020 |
| A comparison of humanoid robot simulators: A quantitative approach A Ayala, F Cruz, D Campos, R Rubio, B Fernandes, R Dazeley 2020 Joint IEEE 10th international conference on development and learning …, 2020 | 46 | 2020 |
| Diabetic retinopathy improved detection using deep learning A Ayala, T Ortiz Figueroa, B Fernandes, F Cruz Applied Sciences 11 (24), 11970, 2021 | 45 | 2021 |
| KutralNet: A Portable Deep Learning Model for Fire Recognition A Ayala, B Fernandes, F Cruz, D Macêdo, ALI Oliveira, C Zanchettin 2020 International Joint Conference on Neural Networks (IJCNN), 2020 | 28 | 2020 |
| Unmanned aerial vehicle control through domain-based automatic speech recognition R Contreras, A Ayala, F Cruz Computers 9 (3), 75, 2020 | 24 | 2020 |
| Reinforcement learning using continuous states and interactive feedback A Ayala, C Henríquez, F Cruz Proceedings of the 2nd International Conference on Applications of …, 2019 | 18 | 2019 |
| Lightweight and efficient octave convolutional neural network for fire recognition A Ayala, E Lima, B Fernandes, BLD Bezerra, F Cruz 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI …, 2019 | 10 | 2019 |
| Analysis of explainable goal-driven reinforcement learning in a continuous simulated environment E Portugal, F Cruz, A Ayala, B Fernandes Algorithms 15 (3), 91, 2022 | 9 | 2022 |
| Explainable deep reinforcement learning using introspection in a non-episodic task A Ayala, F Cruz, B Fernandes, R Dazeley arXiv preprint arXiv:2108.08911, 2021 | 7 | 2021 |
| Convolution optimization in fire classification A Ayala, BJT Fernandes, F Cruz, D Macedo, C Zanchettin IEEE Access 10, 23642-23658, 2022 | 6 | 2022 |
| UAV control in autonomous object-goal navigation: a systematic literature review A Ayala, L Portela, F Buarque, BJT Fernandes, F Cruz Artificial Intelligence Review 57 (5), 125, 2024 | 1 | 2024 |
| Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario H Muñoz, E Portugal, A Ayala, B Fernandes, F Cruz 2022 41st International Conference of the Chilean Computer Science Society …, 2022 | 1 | 2022 |
| KutralNext: An Efficient Multi-label Fire and Smoke Image Recognition Model A Ayala, D Macêdo, C Zanchettin, F Cruz, B Fernandes Conference on Graphics, Patterns and Images (SIBGRAPI), 7-13, 2021 | 1 | 2021 |
| How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach A Althobaiti, A Ayala, JY Gao, A Almutairi, M Deghat, I Razzak, F Cruz arXiv preprint arXiv:2412.11387, 2024 | | 2024 |
| eXplainable Reinforcement Learning Using Introspection in a Competitive Scenario A Opazo, A Ayala, P Barros, B Fernandes, F Cruz 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2024 | | 2024 |
| Safety first: Toward safe action selection with contextual affordances I Apablaza, M Saavedra, A Ayala, B Fernandes, F Cruz 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2024 | | 2024 |
| Urban Autonomous Driving of Emergency Vehicles with Reinforcement Learning Z Tong, A Ayala, EB Sandoval, F Cruz 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2023 | | 2023 |
| Re-purposing Machine Learning Models: A Human Action Recognition Model Turned Violence Detector L Portela, A Ayala, B Fernandes, I Farias, G Neto, MEN Gomes 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2023 | | 2023 |
| Time estimation for deep learning model’s inference in distributed processing units E Portugal, A Ayala, F Cruz, B Fernandes, S Murilo 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2023 | | 2023 |
| refuerzo continuo y retroalimentación interactiva A Ayala, C Henríquez, F Cruz | | |
Francisco CruzUNSW SydneyPatvirtintas el. paštas unsw.edu.au