Feature learning from image markers meets cellular automata

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Salvagnini, Felipe Crispim da Rocha; Falcão, Alexandre Xavier, 2025, "Feature learning from image markers meets cellular automata", https://doi.org/10.25824/redu/KAWR2L, Repositório de Dados de Pesquisa da Unicamp, V1

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Description	This repository holds the data of the MSc thesis in Computer Science, defended on 21st July 2025, entitled "Feature Learning from Image Markers meets Cellular Automata". The repository contains the code to replicate the entire proposed method as well as sample data that enables any user to implement it. Moreover, instructions to download the complete datasets used in the study are provided. The method allows for the use of the Feature Learning from Image Markers methodology to initialize Cellular Automata. (2025-07-21)
Subject	Computer and Information Science
Keyword	Cellular automata, Convolutional neural networks, Image analysis, Machine learning, FLIM, Feature learning from image markers
Related Publication	Felipe Crispim Rocha Salvagnini, Jancarlo F. Gomes, Cid A. N. Santos, Silvio Jamil F. Guimarães, and Alexandre X. Falcão. Multi-level cellular automata for flim networks, 2025. arXiv: 2504.11406
License/Data Use Agreement	CC BY-NC 4.0


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Citation Metadata

Persistent Identifier	doi:10.25824/redu/KAWR2L
Publication Date	2025-09-03
Title	Feature learning from image markers meets cellular automata
Alternative URL	https://github.com/LIDS-UNICAMP/flim_mca
Author	Salvagnini, Felipe Crispim da Rocha (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação) - ORCID: https://orcid.org/0000-0002-7896-0058 Falcão, Alexandre Xavier (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação) - ORCID: https://orcid.org/0000-0002-2914-5380
Point of Contact	Use email button above to contact. Falcão, Alexandre Xavier (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação) Salvagnini, Felipe Crispim da Rocha (Universidade Estadual de Campinas (UNICAMP). Instituto de Computação)
Description	This repository holds the data of the MSc thesis in Computer Science, defended on 21st July 2025, entitled "Feature Learning from Image Markers meets Cellular Automata". The repository contains the code to replicate the entire proposed method as well as sample data that enables any user to implement it. Moreover, instructions to download the complete datasets used in the study are provided. The method allows for the use of the Feature Learning from Image Markers methodology to initialize Cellular Automata. (2025-07-21)
Subject	Computer and Information Science
Keyword	Cellular automata Convolutional neural networks Image analysis Machine learning FLIM Feature learning from image markers
Related Publication	Felipe Crispim Rocha Salvagnini, Jancarlo F. Gomes, Cid A. N. Santos, Silvio Jamil F. Guimarães, and Alexandre X. Falcão. Multi-level cellular automata for flim networks, 2025. arXiv: 2504.11406 https://arxiv.org/abs/2504.11406 Felipe Crispim R. Salvagnini, Jancarlo F. Gomes, Cid A. N. Santos, Silvio Jamil F. Guimarães, and Alexandre X. Falcão. Improving flim-based salient object detection networks with cellular automata. In 2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pages 1–6, 2024. doi: https://doi.org/10.1109/SIBGRAPI62404.2024.10716266 https://ieeexplore.ieee.org/document/10716266
Funding Information	No Funder: 0000
Depositor	Crispim da Rocha Salvagnini, Felipe
Deposit Date	2025-08-16
Declarações obrigatórias sobre ética e privacidade	o projeto que gerou os dados foi aprovado pelo Comite de Ética em Pesquisa da Unicamp ou não envolve questões que requeiram tal aprovação; os dados que serão depositados estão de acordo com a LGPD (Lei Geral de Proteção de Dados)

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