Gustavo Borges Moreno e Mello

Orcid: 0000-0003-0333-0454

According to our database1, Gustavo Borges Moreno e Mello authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
HITS-based Propagation Paradigm for Graph Neural Networks.
ACM Trans. Knowl. Discov. Data, May, 2024

Inducing Inductive Bias in Vision Transformer for EEG Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Neurological Based Timing Mechanism for Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian.
Proceedings of the Artificial Intelligence XL, 2023

2022
HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents.
Proceedings of the Intelligent Systems and Applications, 2021

For a New Protocol to Promote Empathy Towards Users of Communication Technologies.
Proceedings of the HCI International 2021 - Late Breaking Posters, 2021

Prototyping-Based Study of Designs for Eye-Tracking Interface in Augmentative and Alternative Communication Applications.
Proceedings of the HCI International 2021 - Late Breaking Posters, 2021

2020
Construction of an Inexpensive Eye Tracker for Social Inclusion and Education.
Proceedings of the Universal Access in Human-Computer Interaction. Design Approaches and Supporting Technologies, 2020

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
A general representation of dynamical systems for reservoir computing.
CoRR, 2019

DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks.
CoRR, 2019

Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019


  Loading...