Odemir M. Bruno

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 51

Top Topics

Fractal Dimension

Top Venues

Pattern Recognit.

Pattern Recognit. Lett.

Publications

Leonardo F. S. Scabini, Andre Sacilotti, Kallil M. C. Zielinski, Lucas Correia Ribas, Bernard De Baets, Odemir M. Bruno
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis. CoRR (2024)
Lucas Correia Ribas, Odemir M. Bruno
Learning a complex network representation for shape classification. Pattern Recognit. 154 (2024)
Kallil M. C. Zielinski, Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognit. 146 (2024)
Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno
Local complex features learned by randomized neural networks for texture analysis. Pattern Anal. Appl. 27 (1) (2024)
Kallil M. C. Zielinski, Leonardo F. S. Scabini, Lucas Correia Ribas, Núbia Rosa da Silva, Hans Beeckman, Jan Verwaeren, Odemir M. Bruno, Bernard De Baets
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. CoRR (2024)
Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps. CoRR (2023)
Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno
RADAM: Texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognit. 143 (2023)
Joao V. Merenda, Odemir M. Bruno
Using deterministic tourist walk as a small-world metric on Watts-Strogatz networks. CoRR (2023)
Mariane Barros Neiva, Odemir M. Bruno
Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks. CoRR (2023)
Lucas D. C. de Castro, Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno, Osvaldo N. Oliveira Jr.
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Syst. Appl. 212 (2023)
Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno
A complex network approach for fish species recognition based on otolith shape. IPTA (2022)
Lucas Correia Ribas, Jarbas Joaci de Mesquita Sá Junior, Antoine Manzanera, Odemir M. Bruno
Learning graph representation with Randomized Neural Network for dynamic texture classification. Appl. Soft Comput. 114 (2022)
Kallil M. C. Zielinski, Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
A Network Classification Method based on Density Time Evolution Patterns Extracted from Network Automata. CoRR (2022)
Leonardo F. S. Scabini, Lucas Correia Ribas, Eraldo Ribeiro, Odemir M. Bruno
Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification. NetSci-X (2022)
Leonardo F. S. Scabini, Bernard De Baets, Odemir M. Bruno
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring. CoRR (2022)
Lucas Correia Ribas, Rabia Riad, Rachid Jennane, Odemir M. Bruno
A complex network based approach for knee Osteoarthritis detection: Data from the Osteoarthritis initiative. Biomed. Signal Process. Control. 71 (Part) (2022)
Kallil M. C. Zielinski, Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno
Complex Texture Features Learned by Applying Randomized Neural Network on Graphs. IPTA (2022)
Jeaneth Machicao, Quynh Quang Ngo, Vladimir Molchanov, Lars Linsen, Odemir M. Bruno
A visual analysis method of randomness for classifying and ranking pseudo-random number generators. Inf. Sci. 558 (2021)
Rayner H. Montes Condori, Odemir M. Bruno
Analysis of activation maps through global pooling measurements for texture classification. Inf. Sci. 555 (2021)
Leonardo F. S. Scabini, Odemir M. Bruno
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties. CoRR (2021)
Jarbas Joaci de Mesquita Sá Junior, André R. Backes, Odemir M. Bruno
Shape Classification Using Randomized Neural Network Descriptors Extracted from the Fourier Spectrum. IWSSIP (2020)
Lucas Correia Ribas, Jarbas Joaci de Mesquita Sá Junior, Leonardo F. S. Scabini, Odemir M. Bruno
Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognit. 103 (2020)
Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
Life-Like Network Automata descriptor based on binary patterns for network classification. Inf. Sci. 515 (2020)
Leonardo F. S. Scabini, Lucas Correia Ribas, Mariane Barros Neiva, Altamir G. B. Junior, Alex J. F. Farfán, Odemir M. Bruno
Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil. CoRR (2020)
Gisele Helena Barboni Miranda, Jan M. Baetens, Aisling J. Daly, Odemir M. Bruno, Bernard De Baets
Influence of Topology on the Dynamics of in Silico Ecosystems with Non-hierarchical Competition. ACRI (2020)
Jeaneth Machicao, Odemir M. Bruno, Murilo S. Baptista
Zooming into chaos for a fast, light and reliable cryptosystem. CoRR (2020)
Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis. CoRR (2020)
Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno
Spatio-spectral networks for color-texture analysis. Inf. Sci. 515 (2020)
Leonardo F. S. Scabini, Rayner M. Montes Condori, Isabella C. L. Munhoz, Odemir M. Bruno
Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib. CAIP (2) (2019)
Lucas Correia Ribas, Antoine Manzanera, Odemir M. Bruno
A Fractal-Based Approach to Network Characterization Applied to Texture Analysis. CAIP (1) (2019)
Alex J. F. Farfán, Leonardo F. S. Scabini, Odemir M. Bruno
A Web-Based System to Assess Texture Analysis Methods and Datasets. CAIP (2) (2019)
Leonardo F. S. Scabini, Rayner H. Montes Condori, Lucas Correia Ribas, Odemir M. Bruno
Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors. ICIAP (2) (2019)
Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir M. Bruno
Dynamic texture analysis with diffusion in networks. Digit. Signal Process. 92 (2019)
Leonardo F. S. Scabini, Rayner H. Montes Condori, Wesley Nunes Gonçalves, Odemir M. Bruno
Multilayer complex network descriptors for color-texture characterization. Inf. Sci. 491 (2019)
Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno
Spatio-spectral networks for color-texture analysis. CoRR (2019)
Lucas Correia Ribas, Odemir M. Bruno
Dynamic Texture Classification Using Deterministic Partially Self-avoiding Walks on Networks. ICIAP (1) (2019)
Leonardo F. S. Scabini, Rayner H. Montes Condori, Wesley Nunes Gonçalves, Odemir M. Bruno
Multilayer Complex Network Descriptors for Color-Texture Characterization. CoRR (2018)
Lucas Correia Ribas, Odemir M. Bruno
Deterministic Partially Self-avoiding Walks on Networks for Natural Shapes Classification. CIARP (2018)
Lucas Correia Ribas, Jarbas J. de M. Sá Junior, Leonardo F. S. Scabini, Odemir M. Bruno
Fusion of complex networks and randomized neural networks for texture analysis. CoRR (2018)
Jeaneth Machicao, Marcela Alves, Murilo S. Baptista, Odemir M. Bruno
Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems. CoRR (2018)
Gisele Helena Barboni Miranda, Jeaneth Machicao, Odemir M. Bruno
An optimized shape descriptor based on structural properties of networks. Digit. Signal Process. 82 (2018)
Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir M. Bruno
Dynamic texture analysis with diffusion in networks. CoRR (2018)
João Batista Florindo, Odemir M. Bruno, Gabriel Landini
Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors. Comput. Biol. Medicine 81 (2017)
Mariane Barros Neiva, Patrick Guidotti, Odemir M. Bruno
Improving LBP and its variants using anisotropic diffusion. CoRR (2017)
Gisele Helena Barboni Miranda, Jeaneth Machicao, Odemir M. Bruno
An optimized shape descriptor based on structural properties of networks. CoRR (2017)
João Batista Florindo, Odemir M. Bruno
Local fractal dimension and binary patterns in texture recognition. Pattern Recognit. Lett. 78 (2016)
Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova, Odemir M. Bruno, Diego R. Amancio, Francisco Aparecido Rodrigues, Luciano da F. Costa
Clustering Algorithms: A Comparative Approach. CoRR (2016)
João Batista Florindo, Gabriel Landini, Odemir M. Bruno
Three-dimensional connectivity index for texture recognition. Pattern Recognit. Lett. 84 (2016)
João Batista Florindo, Odemir M. Bruno
Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension. CoRR (2016)
Jeaneth Machicao, Edilson Anselmo Corrêa Júnior, Gisele Helena Barboni Miranda, Diego R. Amancio, Odemir M. Bruno
Authorship Attribution Based on Life-Like Network Automata. CoRR (2016)
João Batista Florindo, Odemir M. Bruno
Discrete Schroedinger Transform For Texture Recognition. CoRR (2016)
Jeaneth Machicao, Jan M. Baetens, Anderson G. Marco, Bernard De Baets, Odemir M. Bruno
A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems. Commun. Nonlinear Sci. Numer. Simul. 29 (Issues) (2015)
Jeaneth Machicao, Jan M. Baetens, Anderson G. Marco, Bernard De Baets, Odemir M. Bruno
A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems. CoRR (2015)
João Batista Florindo, Odemir M. Bruno
Texture analysis by multi-resolution fractal descriptors. CoRR (2014)
Álvaro Gomez Zuñiga, João Batista Florindo, Odemir M. Bruno
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis. CoRR (2014)
Álvaro Gomez Zuñiga, João Batista Florindo, Odemir M. Bruno
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis. Pattern Recognit. Lett. 36 (2014)
André Ricardo Backes, Odemir M. Bruno
Texture analysis using volume-radius fractal dimension. CoRR (2014)
Gonzalo Travieso, Carlos A. Ruggiero, Odemir M. Bruno, Luciano da F. Costa
Predicting efficiency in master-slave grid computing systems. J. Complex Networks 1 (1) (2013)
André Ricardo Backes, Odemir M. Bruno
Texture analysis using volume-radius fractal dimension. Appl. Math. Comput. 219 (11) (2013)
João Batista Florindo, Odemir M. Bruno
Texture analysis by multi-resolution fractal descriptors. Expert Syst. Appl. 40 (10) (2013)
Odemir M. Bruno, Roberto M. Cesar Jr., Luís Augusto Consularo, Luciano da Fontoura Costa
Automatic feature selection for biological shape classification in Σynergos. SIBGRAPI (1998)