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

Persistent rule-based interactive reinforcement learning

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

(2022), pp. 1-18, Neural Computing and Applications, Berlin, Germany, C1

journal article

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

Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale

(2021), Vol. 6, pp. 1-15, Biomimetics, Basel, 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, pp. 1-29, Artificial Intelligence, Amsterdam, The Netherlands, C1

journal article

A Robust Approach for Continuous Interactive Actor-Critic Algorithms

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

(2021), Vol. 9, pp. 104242-104260, IEEE Access, Piscataway, N.J., 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

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

Angel Ayala, Tomas Ortiz Figueroa, Bruno Fernandes, Francisco Cruz

(2021), Vol. 11, pp. 1-11, Applied Sciences-Basel, Basel, Switzerland, C1

journal article
2020

Deep reinforcement learning with Interactive Feedback in a Human-Robot Environment

Ithan Moreira, Javier Rivas, Francisco Cruz Naranjo, Richard Dazeley, Angel Ayala, Bruno Fernandes

(2020), Vol. 10, pp. 1-16, Applied Sciences, Basel, Switzerland, C1

journal article

Unmanned aerial vehicle control through domain-based automatic speech recognition

R Contreras, A Ayala, F Cruz Naranjo

(2020), Vol. 9, pp. 1-15, Computers, Basel, Switzerland, 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 Naranjo, S Magg, Y Nagai, S Wermter

(2018), Vol. 30, pp. 306-325, Connection science, Abingdon, Eng., 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), E1-1

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report