The Most Recent
The 10 most recent references are listed below, the first one being the most recent.
UL::SIDiLi
id 6qtX3pFwXQZeBBx/pBvav    Other    -m-
URLib Librarian ::
SIBGRAPI Digital Library Archive
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<sid.inpe.br/banon/2001/03.30.15.38.24> (156 KiB) statistics | access | download | update
FariaCarn:2020:WhArGe
id 8JMKD3MGPEW34M/43BFBQE    Conference Paper    -m-
Faria, F. A. & Carneiro, G. :2020:
Why are Generative Adversarial Networks so Fascinating and Annoying?
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<sid.inpe.br/sibgrapi/2020/09.30.13.05> (8634 KiB) statistics | access | download | update | related content
JerripothulaAnsaNijh:2021:ViSoTr
id 8JMKD3MGPEW34M/45CUKQ8    Conference Paper    -m-
Jerripothula, K. R.; Ansari, S. A. & Nijhawan, R. :2021:
A Vision-based Solution for Track Misalignment Detection
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<sid.inpe.br/sibgrapi/2021/09.06.21.01> (1619 KiB) statistics | access | download | update | related content
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Banon::EnVeSI
id 6qtX3pFwXQZeBBx/q3LVj    Other    -m-
Banon, G. J. F. ::
English version of the SIBGRAPI mirror pages
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<sid.inpe.br/banon/2001/05.04.15.05> (78 KiB) statistics | access | download | update
SchirmerSSNYMPVL:2021:NeNeIm
id 8JMKD3MGPEW34M/45DPE5L    Conference Paper    -m-
Schirmer, L., et al. :2021:
Neural Networks for Implicit Representations of 3D Scenes
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<sid.inpe.br/sibgrapi/2021/09.11.20.09> (5299 KiB) statistics | access | download | update | related content
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PontiSantRibeCava:2021:AvPiGo
id 8JMKD3MGPEW34M/45CUTES    Conference Paper    -m-
Ponti, M. A., et al. :2021:
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond
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<sid.inpe.br/sibgrapi/2021/09.06.22.34> (1275 KiB) statistics | access | download | update | related content
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LaranjeiraMotaSant:2021:WhIHa
id 8JMKD3MGPEW34M/45CTJL8    Conference Paper    -m-
Laranjeira, C.; Mota, V. F. & Santos, J. A. :2021:
Machine Learning Bias in Computer Vision: Why do I have to care?
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<sid.inpe.br/sibgrapi/2021/09.06.15.19> (9767 KiB) statistics | access | download | update | related content
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SilvaAngeSantLoul:2021:MoCo
id 8JMKD3MGPEW34M/45F7NEB    Conference Paper    -m-
Silva, J. M., et al. :2021:
Aprendizado Profundo na Classificação de Lesões Crescentes Glomerulares: modelos e condições
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<sid.inpe.br/sibgrapi/2021/09.20.13.36> (1505 KiB) statistics | access | download | update | related content
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VitiMarq:2021:HeGlVi
id 8JMKD3MGPEW34M/45ENJ5S    Conference Paper    -m-
Viti, V. M. & Marques, B. A. D. :2021:
Hearing glasses to visually impaired people prototype
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<sid.inpe.br/sibgrapi/2021/09.17.19.07> (410 KiB) statistics | access | download | update | related content
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RochaVPBAMSRSMN:2021:CoStMe
id 8JMKD3MGPEW34M/45DJ23H    Conference Paper    -m-
Rocha, C. V. M., et al. :2021:
A Comparative Study of Methods based on Deep Neural Networks for Self-reading of Energy Consumption in a Chatbot Application Context
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<sid.inpe.br/sibgrapi/2021/09.10.14.22> (877 KiB) statistics | access | download | update | related content
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