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Francisco Erivaldo Fernandes Junior
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2020 – today
- 2024
- [i2]Francisco Erivaldo Fernandes Junior, Antti Oulasvirta:
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design. CoRR abs/2410.19528 (2024) - 2023
- [j8]Marcos de Souza Oliveira, Francisco Erivaldo Fernandes Junior, Lukas Cerveny, Flávia Akemi Miyazaki, Leonardo Valeriano Neri, Alan da Silva, Beatriz Leandro Bonafini, Victor Medeiros Outtes Alves, Órion Darshan Winter de Lima:
FastAiAlloc: A real-time multi-resources allocation framework proposal based on predictive model and multiple optimization strategies. Future Gener. Comput. Syst. 149: 622-636 (2023) - 2022
- [j7]Francisco Erivaldo Fernandes Junior, Luis Gustavo Nonato, Jó Ueyama:
A river flooding detection system based on deep learning and computer vision. Multim. Tools Appl. 81(28): 40231-40251 (2022) - [c5]André Ramos Fernandes Da Silva, Lucas Marcondes Pavelski, Luiz Alberto Queiroz Cordovil Júnior, Paulo Henrique De Oliveira Gomes, Layane Menezes Azevedo, Francisco Erivaldo Fernandes Junior:
An evolutionary search algorithm for efficient ResNet-based architectures: a case study on gender recognition. CEC 2022: 1-10 - [c4]Hadassa Munguba Rabelo, Lucas Marcondes Pavelski, Eberth Felipe Castro da Cruz, Francisco Erivaldo Fernandes Junior:
An experience report on how remote device access tools helped mobile developers during the COVID-19 pandemic. ICSSP/ICGSE 2022: 115-119 - 2021
- [j6]Francisco Erivaldo Fernandes Junior, Gary G. Yen:
Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy. Inf. Sci. 552: 29-47 (2021) - [j5]Francisco Erivaldo Fernandes Junior, Gary G. Yen:
Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy. Inf. Sci. 558: 91-102 (2021) - [j4]Francisco Erivaldo Fernandes Junior, Luis Gustavo Nonato, Caetano Mazzoni Ranieri, Jó Ueyama:
Memory-Based Pruning of Deep Neural Networks for IoT Devices Applied to Flood Detection. Sensors 21(22): 7506 (2021) - [j3]Francisco Erivaldo Fernandes Junior, Gary G. Yen:
Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5664-5674 (2021) - [c3]Eberth Felipe Castro da Cruz, Francisco Erivaldo Fernandes Junior, Eduardo Drummond Sardinha:
An experience in the use of SCRUM and KANBAN for project development in a Waterfall environment. SBQS 2021: 20
2010 – 2019
- 2019
- [j2]Francisco Erivaldo Fernandes Junior, Gary G. Yen:
Particle swarm optimization of deep neural networks architectures for image classification. Swarm Evol. Comput. 49: 62-74 (2019) - [i1]Francisco Erivaldo Fernandes Junior, Gary G. Yen:
Pruning Deep Neural Networks Architectures with Evolution Strategy. CoRR abs/1912.11527 (2019) - 2018
- [j1]Guanci Yang, Jing Yang, Weihua Sheng, Francisco Erivaldo Fernandes Junior, Shaobo Li:
Convolutional Neural Network-Based Embarrassing Situation Detection under Camera for Social Robot in Smart Homes. Sensors 18(5): 1530 (2018) - 2017
- [c2]Francisco Erivaldo Fernandes Junior, Ha Manh Do, Kiran Muniraju, Weihua Sheng, Alex J. Bishop:
Cognitive orientation assessment for older adults using social robots. ROBIO 2017: 196-201 - 2016
- [c1]Francisco Erivaldo Fernandes Junior, Guanci Yang, Ha Manh Do, Weihua Sheng:
Detection of privacy-sensitive situations for social robots in smart homes. CASE 2016: 727-732
Coauthor Index
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