Norwegian version
Sidney Pontes-Filho

Sidney Pontes-Filho

About

Sidney Pontes-Filho is a Ph.D. candidate in Computer Science at Norwegian University of Science and Technology (NTNU) and works as a Ph.D. fellow at Oslo Metropolitan University (OsloMet). He received his B.Sc. in Computer Science in 2013 from Federal University of Paraíba, Brazil, and M.Sc in Computer Science in 2018 from Technical University of Kaiserslautern, Germany. His current research interests are complex systems, unconventional computing, computational neuroscience, and artificial general intelligence.

Scientific publications

Pontes Filho, Sidney; Olsen, Kristoffer; Yazidi, Anis; Riegler, Michael; Halvorsen, Pål; Nichele, Stefano (2022). Towards the Neuroevolution of Low-level artificial general intelligence. 15 p. Frontiers in Robotics and AI . Vol. 9.

Pontes Filho, Sidney; Lind, Pedro; Nichele, Stefano (2022). Assessing the robustness of critical behavior in stochastic cellular automata. Physica D : Non-linear phenomena . Vol. 441.
https://hdl.handle.net/11250/3027900

Pontes Filho, Sidney; Walker, Kathryn; Najarro, Elias; Nichele, Stefano; Risi, Sebastian (2022). A single neural cellular automaton for body-brain co-evolution. GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Konferanseartikkel. p. 148-151. Association for Computing Machinery (ACM).

Pontes Filho, Sidney; Dahl, Annelene; Nichele, Stefano; Mello, Gustavo (2021). A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents. Arai, Kohei (Ed.). Intelligent Systems and Applications, Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021) Volume 1. Artikkel. p. 549-558. Springer Nature.

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. Castillo, Pedro A.; Laredo, Juan Luis Jiménez; de Vega, Francisco Fernández (Ed.). Applications of Evolutionary Computation. Mangler. p. 133-148. Springer.
https://hdl.handle.net/11250/2724664

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality. Cognitive Neurodynamics .
https://hdl.handle.net/11250/2657791

Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (2020). Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). Chapter: Neuromorphic Cognitive Computing (SNCC). p. 2360-2366. IEEE.
http://hdl.handle.net/11250/2644970

Pontes-Filho, Sidney; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Nichele, Stefano; Tufte, Gunnar (2019). A general representation of dynamical systems for reservoir computing. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. paper No. 8. IEEE.
https://hdl.handle.net/11250/2677637

Pontes-Filho, Sidney; Liwicki, Marcus (2019). Bidirectional Learning for Robust Neural Networks. Jayne, Chrisina; Somogyvári, Zoltán (Ed.). 2019 International Joint Conference on Neural Networks (IJCNN). Conference paper. p. 1-8. IEEE.
http://hdl.handle.net/11250/2641437



These publications are obtained from Cristin. The list may be incomplete