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1
Material Type:
Ph.D. Dissertation
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Patterns and randomness in networks for computer vision: from graphs to neural networks

Scabini, Leonardo Felipe Dos Santos

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Física de São Carlos 2023-07-24

Online access. The library also has physical copies.

2
Material Type:
Ph.D. Dissertation
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Exploring Complex Networks: Matrix-based and Multiscale Approaches for Pattern Recognition

Neiva, Mariane Barros

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2023-09-05

Online access

3
Material Type:
Conference Paper
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Deep topological embedding with convolutional neural networks for complex network classification

Leonardo Scabini Lucas Ribas Eraldo  Ribeiro; Odemir Martinez Bruno; NetSci-X (2022 Porto)

Lecture Notes in Computer Science - LNCS Cham v. 13197, p. 54-66, Feb. 2022

Cham 2022

Available at IFSC - Inst. Física de São Carlos    (PROD032804 )(GetIt)

4
Material Type:
Ph.D. Dissertation
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Multi-layer analysis of convolutional neural networks for transfer learning applications

Condori, Rayner Harold Montes

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2022-05-17

Online access

5
Material Type:
Conference Paper
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Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition

Gisele Helena Barboni Miranda Jan M Baetens; Aisling J Daly; Odemir Martinez Bruno; Bernard De Baets; International Conference on Cellular Automata for Research and Industry - ACRI (14. 2020 Łódź)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 12599, p. 113-122, Feb. 2021

Heidelberg Springer 2021

Available at IFSC - Inst. Física de São Carlos    (PROD031264 )(GetIt)

6
Material Type:
Ph.D. Dissertation
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Aprendizado de representações e caracterização de redes complexas com aplicações em visão computacional

Ribas, Lucas Correia

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2021-11-22

Online access

7
Material Type:
Conference Paper
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A fractal-based approach to network characterization applied to texture analysis

Lucas Correia Ribas Antoine Manzanera; Odemir Martinez Bruno; International Conference on Computer Analysis of Images and Patterns - CAIP (18. 2019 Salerno)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11678, Part I, p. 129-140, 2019

Heidelberg Springer 2019

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2960554 ) and other locations(GetIt)

8
Material Type:
Conference Paper
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Deep convolutional neural networks for plant species characterization based on leaf midrib

Leonardo Felipe dos Santos Scabini Rayner Harold Montes Condori; Isabella de Cassia Lima Munhoz; Odemir Martinez Bruno; International Conference on Computer Analysis of Images and Patterns - CAIP (18. 2019 Salerno)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11679, Part II, p. 389-401, 2019

Heidelberg Springer 2019

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2960401 ) and other locations(GetIt)

9
Material Type:
Conference Paper
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A web-based system to assess texture analysis methods and datasets

Alex Josue Florez Farfan Leonardo Felipe dos Santos Scabini; Odemir Martinez Bruno; International Conference on Computer Analysis of Images and Patterns - CAIP (18. 2019 Salerno)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11679, Part II, p. 425-437, 2019

Heidelberg Springer 2019

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2960406 ) and other locations(GetIt)

10
Material Type:
Conference Paper
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Dynamic texture classification using deterministic partially self-avoiding walks on networks

Lucas Correia Ribas Odemir Martinez Bruno; International Conference on Image Analysis and Processing- ICIAP (20. 2019 Trento)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11751, Part I, p. 82-93, 2019

Heidelberg Springer 2019

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2963290 ) and other locations(GetIt)

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