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Angelo G. Menezes
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2020 – today
- 2024
- [c3]Angelo G. Menezes, Augusto J. Peterlevitz, Mateus A. Chinelatto, André C. P. L. F. de Carvalho:
Efficient Parameter Mining and Freezing for Continual Object Detection. VISIGRAPP (2): VISAPP 2024: 466-474 - [i3]Angelo G. Menezes, Augusto J. Peterlevitz, Mateus A. Chinelatto, André C. P. L. F. de Carvalho:
Efficient Parameter Mining and Freezing for Continual Object Detection. CoRR abs/2402.12624 (2024) - 2023
- [j2]Augusto J. Peterlevitz, Mateus A. Chinelatto, Angelo G. Menezes, Cézanne A. M. Motta, Guilherme A. B. Pereira, Gustavo L. Lopes, Gustavo De M. Souza, Juan Rodrigues, Lilian C. Godoy, Mario A. F. F. Koller, Mateus O. Cabral, Nicole E. Alves, Paulo H. Silva, Ricardo Cherobin, Roberto A. O. Yamamoto, Ricardo D. Da Silva:
Sim-to-Real Transfer for Object Detection in Aerial Inspections of Transmission Towers. IEEE Access 11: 110312-110327 (2023) - [j1]Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho:
Continual Object Detection: A review of definitions, strategies, and challenges. Neural Networks 161: 476-493 (2023) - 2022
- [i2]Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho:
Continual Object Detection: A review of definitions, strategies, and challenges. CoRR abs/2205.15445 (2022) - 2021
- [i1]Angelo G. Menezes:
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition. CoRR abs/2101.10845 (2021) - 2020
- [c2]Angelo G. Menezes, João M. D. da C. Sá, Eduardo Llapa, Carlos A. Estombelo-Montesco:
Automatic Attendance Management System based on Deep One-Shot Learning. IWSSIP 2020: 137-142
2010 – 2019
- 2019
- [c1]Kelly J. de O. Santos, Angelo G. Menezes, Andre B. de Carvalho, Carlos-Alberto Estombelo-Montesco:
Supervised Learning in the Context of Educational Data Mining to Avoid University Students Dropout. ICALT 2019: 207-208
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