By Dr Francisco Cruz Naranjo

Journal articles

Ly A; Dazeley R; Vamplew P; Cruz F; Aryal S, 2024, 'Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks', Neurocomputing, 576, http://dx.doi.org/10.1016/j.neucom.2023.127170

Bignold A; Cruz F; Dazeley R; Vamplew P; Foale C, 2023, 'Persistent rule-based interactive reinforcement learning', Neural Computing and Applications, 35, pp. 23411 - 23428, http://dx.doi.org/10.1007/s00521-021-06466-w

Cruz F; Dazeley R; Vamplew P; Moreira I, 2023, 'Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario', Neural Computing and Applications, 35, pp. 18113 - 18130, http://dx.doi.org/10.1007/s00521-021-06425-5

Bignold A; Cruz F; Dazeley R; Vamplew P; Foale C, 2023, 'Human engagement providing evaluative and informative advice for interactive reinforcement learning', Neural Computing and Applications, 35, pp. 18215 - 18230, http://dx.doi.org/10.1007/s00521-021-06850-6

Harland H; Dazeley R; Nakisa B; Cruz F; Vamplew P, 2023, 'AI apology: interactive multi-objective reinforcement learning for human-aligned AI', Neural Computing and Applications, 35, pp. 16917 - 16930, http://dx.doi.org/10.1007/s00521-023-08586-x

Dazeley R; Vamplew P; Cruz F, 2023, 'Explainable reinforcement learning for broad-XAI: a conceptual framework and survey', Neural Computing and Applications, 35, pp. 16893 - 16916, http://dx.doi.org/10.1007/s00521-023-08423-1

Cruz F; Karimpanal TG; Solis MA; Barros P; Dazeley R, 2023, 'Human-aligned reinforcement learning for autonomous agents and robots', Neural Computing and Applications, 35, pp. 16689 - 16691, http://dx.doi.org/10.1007/s00521-023-08748-x

Millán-Arias C; Fernandes B; Cruz F, 2023, 'Proxemic behavior in navigation tasks using reinforcement learning', Neural Computing and Applications, 35, pp. 16723 - 16738, http://dx.doi.org/10.1007/s00521-022-07628-0

de Andrade JVR; Fernandes BJT; Izídio ARLC; da Silva Filho NM; Cruz F, 2023, 'Vessel Velocity Estimation and Docking Analysis: A Computer Vision Approach', Algorithms, 16, http://dx.doi.org/10.3390/a16070326

Bignold A; Cruz F; Taylor ME; Brys T; Dazeley R; Vamplew P; Foale C, 2023, 'A conceptual framework for externally-influenced agents: an assisted reinforcement learning review', Journal of Ambient Intelligence and Humanized Computing, 14, pp. 3621 - 3644, http://dx.doi.org/10.1007/s12652-021-03489-y

Nguyen HS; Cruz F; Dazeley R, 2023, 'Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments', Sensors, 23, http://dx.doi.org/10.3390/s23052681

Cruz F; Solis MA; Navarro-Guerrero N, 2023, 'Editorial: Cognitive inspired aspects of robot learning', Frontiers in Neurorobotics, 17, http://dx.doi.org/10.3389/fnbot.2023.1256788

Azevedo GODA; Fernandes BJT; Silva LHDS; Freire A; de Araújo RP; Cruz F, 2022, 'Event-Based Angular Speed Measurement and Movement Monitoring', Sensors, 22, http://dx.doi.org/10.3390/s22207963

Portugal E; Cruz F; Ayala A; Fernandes B, 2022, 'Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment', Algorithms, 15, http://dx.doi.org/10.3390/a15030091

Ayala A; Fernandes BJT; Cruz F; Macedo D; Zanchettin C, 2022, 'Convolution Optimization in Fire Classification', IEEE Access, 10, pp. 23642 - 23658, http://dx.doi.org/10.1109/ACCESS.2022.3151660

Ayala A; Ortiz Figueroa T; Fernandes B; Cruz F, 2021, 'Diabetic retinopathy improved detection using deep learning', Applied Sciences (Switzerland), 11, http://dx.doi.org/10.3390/app112411970

Dazeley R; Vamplew P; Foale C; Young C; Aryal S; Cruz F, 2021, 'Levels of explainable artificial intelligence for human-aligned conversational explanations', Artificial Intelligence, 299, http://dx.doi.org/10.1016/j.artint.2021.103525

Millan-Arias CC; Fernandes BJT; Cruz F; Dazeley R; Fernandes S, 2021, 'A Robust Approach for Continuous Interactive Actor-Critic Algorithms', IEEE Access, 9, pp. 104242 - 104260, http://dx.doi.org/10.1109/ACCESS.2021.3099071

Bignold A; Cruz F; Dazeley R; Vamplew P; Foale C, 2021, 'An evaluation methodology for interactive reinforcement learning with simulated users', Biomimetics, 6, pp. 1 - 15, http://dx.doi.org/10.3390/biomimetics6010013

Contreras R; Ayala A; Cruz F, 2020, 'Unmanned aerial vehicle control through domain-based automatic speech recognition', Computers, 9, pp. 1 - 15, http://dx.doi.org/10.3390/computers9030075

Moreira I; Rivas J; Cruz F; Dazeley R; Ayala A; Fernandes B, 2020, 'Deep reinforcement learning with interactive feedback in a human-robot environment', Applied Sciences (Switzerland), 10, http://dx.doi.org/10.3390/app10165574

Cruz F; Magg S; Nagai Y; Wermter S, 2018, 'Improving interactive reinforcement learning: What makes a good teacher?', Connection Science, 30, pp. 306 - 325, http://dx.doi.org/10.1080/09540091.2018.1443318

Cruz F; Magg S; Weber C; Wermter S, 2016, 'Training Agents With Interactive Reinforcement Learning and Contextual Affordances', IEEE Transactions on Cognitive and Developmental Systems, 8, pp. 271 - 284, http://dx.doi.org/10.1109/TCDS.2016.2543839

Cruz F; Baraglia J; Nagai Y; Wermter S, 2016, 'Special issue on bio-inspired social robot learning in home scenarios', IEEE Transactions on Cognitive and Developmental Systems, 8, pp. 1 - 2, http://dx.doi.org/10.1109/TCDS.2016.2603000

Back to profile page