Tiago Azevedo

According to our database, Tiago Azevedo authored at least 14 papers between 2015 and 2024.

Collaborative distances:

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

2024

Realistic Aspects of Cardiac Ultrasound in Rats: Practical Tips for Improved Examination.

Jessica Silva, Tiago Azevedo, Mário Ginja, Paula A. Oliveira, José Alberto Duarte, Ana I. Faustino-Rocha

J. Imaging, 2024

Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks.

Andrea Barucci, Giulia Ciacci, Pietro Liò, Tiago Azevedo, Andrea Di Cencio, Marco Merella, Giovanni Bianucci, Giulia Bosio, Simone Casati, Alberto Collareta

CoRR, 2024

2022

A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data.

Tiago Azevedo, Alexander Campbell, Rafael Romero-Garcia, Luca Passamonti, Richard A. I. Bethlehem, Pietro Liò, Nicola Toschi

Medical Image Anal., 2022

2021

On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications.

Johanna Rock, Tiago Azevedo, René de Jong, Daniel Ruiz-Muñoz, Partha Maji

CoRR, 2021

An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks.

Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji

CoRR, 2021

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification.

Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts.

Tiago Azevedo, René de Jong, Partha Maji

CoRR, 2020

Towards a predictive spatio-temporal representation of brain data.

Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi

CoRR, 2020

A novel Graph Attention Network Architecture for modeling multimodal brain connectivity.

Alexandru-Catalin Filip, Tiago Azevedo, Luca Passamonti, Nicola Toschi, Pietro Liò

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A deep spatiotemporal graph learning architecture for brain connectivity analysis.

Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features.

Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2016

JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control.

Tiago Azevedo, Paulo J. M. de Araújo, Rosaldo J. F. Rossetti, Ana Paula C. Rocha

CoRR, 2016

2015

Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA.

Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa

Proceedings of the SIMULTECH 2015 - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Colmar, Alsace, France, 21, 2015

A state-of-the-art integrated transportation simulation platform.

Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa

Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015