Kallil M. C. Zielinski

According to our database, Kallil M. C. Zielinski authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

VORTEX: Challenging CNNs at texture recognition by using vision transformers with orderless and randomized token encodings.

Leonardo F. S. Scabini, Kallil M. C. Zielinski, Emir Konuk, Ricardo T. Fares, Lucas Correia Ribas, Kevin Smith, Odemir M. Bruno

Neurocomputing, 2026

Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis.

Leonardo F. S. Scabini, Kallil M. C. Zielinski, Marilia Fernandes, Ricardo T. Fares, Lucas Correia Ribas, Rosana Marta Kolb, Odemir M. Bruno

Comput. Biol. Medicine, 2026

2025

A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis.

Leonardo F. S. Scabini, Andre Sacilotti, Kallil M. C. Zielinski, Lucas Correia Ribas, Bernard De Baets, Odemir M. Bruno

J. Imaging, 2025

A comprehensive taxonomy of cellular automata.

Michiel Rollier, Kallil M. C. Zielinski, Aisling J. Daly, Odemir M. Bruno, Jan M. Baetens

Commun. Nonlinear Sci. Numer. Simul., 2025

Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion.

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

Comput. Electron. Agric., 2025

2024

A network classification method based on density time evolution patterns extracted from network automata.

Kallil M. C. Zielinski, Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno

Pattern Recognit., February, 2024

Randomized Encoding Ensemble: A New Approach for Texture Representation.

Ricardo T. Fares, Ana Catarina M. Vicentim, Leonardo F. S. Scabini, Kallil M. C. Zielinski, Rachid Jennane, Odemir M. Bruno, Lucas Correia Ribas

Proceedings of the 31st International Conference on Systems, Signals and Image Processing, 2024

Deep Texture Feature Aggregation on Leaf Microscopy Images for Brazilian Plant Species Recognition.

Leonardo F. S. Scabini, Kallil M. C. Zielinski, Ricardo T. Fares, Emir Konuk, Gisele Miranda, Rosana Marta Kolb, Lucas Correia Ribas, Odemir M. Bruno

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

2023

RADAM: Texture recognition through randomized aggregated encoding of deep activation maps.

Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno

Pattern Recognit., November, 2023

Real world networks for network classification method evaluation.

Jeaneth Machicao, Kallil M. C. Zielinski, Lucas Correia Ribas, Odemir M. Bruno

Dataset, March, 2023

Synthetic networks for classification methods.

Jeaneth Machicao, Kallil M. C. Zielinski, Lucas Correia Ribas, Odemir M. Bruno

Dataset, March, 2023

2022

Complex Texture Features Learned by Applying Randomized Neural Network on Graphs.

Kallil M. C. Zielinski, Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

2021

Flexible control of Discrete Event Systems using environment simulation and Reinforcement Learning.

Kallil M. C. Zielinski, Lucas V. Hendges, João Batista Florindo, Yuri K. Lopes, Richardson Ribeiro, Marcelo Teixeira, Dalcimar Casanova

Appl. Soft Comput., 2021

2020

Concept and the implementation of a tool to convert industry 4.0 environments modeled as FSM to an OpenAI Gym wrapper.

Kallil M. C. Zielinski, Marcelo Teixeira, Richardson Ribeiro, Dalcimar Casanova

CoRR, 2020