Dr Francisco Cruz

STAFF PROFILE

Position

Visitor

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Contact

Publications

Filter by

2022

Human engagement providing evaluative and informative advice for interactive reinforcement learning

A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale

(2022), pp. 1-16, Neural Computing and Applications, Berlin, Germany, C1

journal article

Convolution Optimization in Fire Classification

A Ayala, B Fernandes, F Cruz, D Macedo, C Zanchettin

(2022), Vol. 10, pp. 23642-23658, IEEE Access, Piscataway, New Jersey, C1

journal article

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

E Portugal, F Cruz, A Ayala, B Fernandes

(2022), Vol. 15, pp. 1-14, Algorithms, Basel, Switzerland, C1

journal article
2021

An evaluation methodology for interactive reinforcement learning with simulated users

A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale

(2021), Vol. 6, pp. 1-15, Biomimetics, Switzerland, C1

journal article

Levels of explainable artificial intelligence for human-aligned conversational explanations

R Dazeley, P Vamplew, C Foale, C Young, S Aryal, F Cruz

(2021), Vol. 299, Artificial Intelligence, C1

journal article

A Robust Approach for Continuous Interactive Actor-Critic Algorithms

C Millan-Arias, B Fernandes, F Cruz, R Dazeley, S Fernandes

(2021), Vol. 9, pp. 104242-104260, IEEE Access, C1

journal article

Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario

F Cruz, R Dazeley, P Vamplew, I Moreira

(2021), Neural Computing and Applications, C1

journal article

Persistent rule-based interactive reinforcement learning

A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale

(2021), pp. 1-18, Neural Computing and Applications, Berlin, Germany, C1

journal article

A conceptual framework for externally-influenced agents: an assisted reinforcement learning review

A Bignold, F Cruz, M Taylor, T Brys, R Dazeley, P Vamplew, C Foale

(2021), Journal of Ambient Intelligence and Humanized Computing, Berlin, Germany, C1

journal article

Diabetic retinopathy improved detection using deep learning

A Ayala, T Ortiz Figueroa, B Fernandes, F Cruz

(2021), Vol. 11, Applied Sciences (Switzerland), C1

journal article
2020

Deep reinforcement learning with interactive feedback in a human-robot environment

I Moreira, J Rivas, F Cruz, R Dazeley, A Ayala, B Fernandes

(2020), Vol. 10, Applied Sciences (Switzerland), C1

journal article

Unmanned aerial vehicle control through domain-based automatic speech recognition

R Contreras, A Ayala, F Cruz

(2020), Vol. 9, pp. 1-15, Computers, C1

journal article

KutralNet: A Portable Deep Learning Model for Fire Recognition

A Ayala, B Fernandes, F Cruz Naranjo, D MacEdo, A Oliveira, C Zanchettin

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

A comparison of humanoid robot simulators: a quantitative approach

A Ayala, F Cruz Naranjo, D Campos, R Rubio, B Fernandes, R Dazeley

(2020), pp. 1-6, ICDL-EpiRob 2020 : Proceedings of the 10th IEEE International Conference on Development and Learning and Epigenetic Robotics, Online from Valparaiso, Chile, E1

conference

Moody learners - explaining competitive behaviour of reinforcement learning agents

P Barros, A Tanevska, F Cruz Naranjo, A Sciutti

(2020), pp. 1-8, ICDL-EpiRob 2020 : Proceedings of the 10th IEEE International Conference on Development and Learning and Epigenetic Robotics, Online from Valparaíso, Chile, E1

conference
2019

Reinforcement learning using continuous states and interactive feedback

A Ayala, C Henríquez, F Cruz Naranjo

(2019), pp. 1-5, APPIS 19 : Proceedings of the 2nd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain, E1-1

conference

Human feedback in continuous actor-critic reinforcement learning

C Millán, B Fernandes, F Cruz Naranjo

(2019), pp. 661-666, ESANN 2019 : Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, E1-1

conference

Memory-based explainable reinforcement learning

F Cruz Naranjo, R Dazeley, P Vamplew

(2019), Vol. 11919, pp. 66-77, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019, Adelaide, S. Aust., E1

conference

Lightweight and efficient octave convolutional neural network for fire recognition

A Ayala, E Lima, B Fernandes, B Bezerra, F Cruz Naranjo

(2019), pp. 1-6, LA-CCI 2019 : Proceedings of the IEEE Latin American Conference on Computational Intelligence, Guayaquil, Ecuador, E1

conference
2018

Improving interactive reinforcement learning: What makes a good teacher?

F Cruz, S Magg, Y Nagai, S Wermter

(2018), Vol. 30, pp. 306-325, Connection Science, C1-1

journal article

Action selection methods in a robotic reinforcement learning scenario

F Cruz Naranjo, P Wuppen, A Fazrie, C Weber, S Wermter

(2018), pp. 1-6, LA-CCI : Proceedings of the 2018 IEEE Latin American Conference on Computational Intelligence, Gudalajara, Mexico, E1-1

conference

Multi-modal feedback for affordance-driven interactive reinforcement learning

F Cruz Naranjo, G Parisi, S Wermter

(2018), pp. 1-8, IJCNN 2018 : Proceedings of the 2018 International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, E1-1

conference
2017

Agent-advising approaches in an interactive reinforcement learning scenario

F Cruz Naranjo, P Wuppen, S Magg, A Fazrie, S Wermter

(2017), pp. 209-214, IEEE ICDL-EPIROB 2017 : Proceedings of the 7th Joint International Confernce on Development and Learning and on Epigenetic Robotics 2017, Lisbon, Portugal, E1-1

conference
2016

Training Agents With Interactive Reinforcement Learning and Contextual Affordances

F Cruz, S Magg, C Weber, S Wermter

(2016), Vol. 8, pp. 271-284, IEEE Transactions on Cognitive and Developmental Systems, C1-1

journal article

Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario

F Cruz Naranjo, G Parisi, J Twiefel, S Wermter

(2016), pp. 759-766, IROS 2016 : Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, South Korea, E1-1

conference
2015

Interactive reinforcement learning through speech guidance in a domestic scenario

F Cruz Naranjo, J Twiefel, S Magg, C Weber, S Wermter

(2015), pp. 1-8, IJCNN 2015 : Proceedings of the 2015 International Joint Conference on Neural Networks, Killarney, Ireland, E1-1

conference
2014

Improving reinforcement learning with interactive feedback and affordances

F Cruz Naranjo, S Magg, C Weber, S Wermter

(2014), pp. 165-170, IEEE ICDL-EPIROB 2014 : Proceedings of the 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics 2014, Genoa, Italy, E1-1

conference
2007

Indirect training of grey-box models: application to a bioprocess

F Cruz, G Acuña, F Cubillos, V Moreno, D Bassi

(2007), Vol. 4492 LNCS, pp. 391-397, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nanjing, PEOPLES R CHINA, E1-1

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report