Guilherme Vieira

According to our database, Guilherme Vieira authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Universal approximation theorem for vector- and hypercomplex-valued neural networks.

Marcos Eduardo Valle, Wington L. Vital, Guilherme Vieira

Neural Networks, 2024

DEMO: UAV Missions With 5G And Satellite Support.

António Almeida, Francisco Ribeiro, Guilherme Vieira, Miguel Vila, Tiago Rodrigues, Pedro Valente, Joaquim Ramos, Pedro Rito, Duarte M. G. Raposo, Susana Sargento

Proceedings of the 15th International Conference on Network of the Future, 2024

2023

Vector-Valued Hopfield Neural Networks and Distributed Synapse Based Convolutional and Linear Time-Variant Associative Memories.

Rama Murthy Garimella, Marcos Eduardo Valle, Guilherme Vieira, Anil Rayala, Sai Dileep Munugoti

Neural Process. Lett., 2023

Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling.

Guilherme Vieira, Eleonora Grassucci, Marcos Eduardo Valle, Danilo Comminiello

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022

Peer-to-Peer Energy Trading in a Microgrid Leveraged by Smart Contracts.

Guilherme Vieira, Jie Zhang

CoRR, 2022

Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks.

Guilherme Vieira, Marcos Eduardo Valle

Proceedings of the International Joint Conference on Neural Networks, 2022

Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks.

Wington L. Vital, Guilherme Vieira, Marcos Eduardo Valle

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

A General Framework for Hypercomplex-valued Extreme Learning Machines.

Guilherme Vieira, Marcos Eduardo Valle

CoRR, 2021

2020

Extreme Learning Machines on Cayley-Dickson Algebra Applied for Color Image Auto-Encoding.

Guilherme Vieira, Marcos Eduardo Valle

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020