Researcher Profiles

Mr Renato Hermoza Aragones

Higher Degree by Research Candidate

HDR Student

School of Computer Science

Faculty of Sciences, Engineering and Technology

Publications
Contact

Journals

Year	Citation
	Hermoza, R., & Sipiran, I. (n.d.). 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network.
	Hermoza, R., Maicas, G., Nascimento, J. C., & Carneiro, G. (n.d.). Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images.

Conference Papers

Year	Citation
2021	Hermoza Aragones, R., Maicas Suso, G., Nascimento, J. C., & Carneiro, G. (2021). Post-hoc overall survival time prediction from brain MRI. In Proceedings of the IEEE 18th International Symposium on Biomedical Imaging (ISBI 2021) Vol. 2021-April (pp. 1476-1480). online: IEEE. DOI Scopus2 WoS1
2020	Hasani Shoreh, M., Hermoza Aragones, R., & Neumann, F. (2020). Neural networks in evolutionary dynamic constrained optimization: computational cost and benefits. In Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), as published in Frontiers in Artificial Intelligence and Applications Vol. 325 (pp. 275-282). Amsterdam, Netherlands: IOS Press BV. DOI
2020	Hermoza Aragones, R., Maicas Suso, G., Nascimento, J. C., & Carneiro, G. (2020). Region proposals for saliency map refinement for weakly-supervised disease localisation and classification. In Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 23rd International Conference, Lima, Peru, October 4–8, 2020. Proceedings, Part VI Vol. 12266 LNCS (pp. 539-549). Switzerland: Springer Nature. DOI Scopus2
2020	Hasani Shoreh, M., Hermoza Aragones, R., & Neumann, F. (2020). Using neural networks and diversifying differential evolution for dynamic optimisation. In Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) (pp. 289-296). online: IEEE. DOI

Position: HDR Student
Email: renato.hermozaaragones@adelaide.edu.au
Campus: North Terrace
Building: Australian Institute for Machine Learning, floor 2
Org Unit: Research Scholars (Positions)

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External Profiles