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2020 – today
- 2024
[j2]Jessica Silva
, Tiago Azevedo, Mário Ginja, Paula A. Oliveira, José Alberto Duarte, Ana I. Faustino-Rocha:
Realistic Aspects of Cardiac Ultrasound in Rats: Practical Tips for Improved Examination. J. Imaging 10(9): 219 (2024)- [i9]Andrea Barucci, Giulia Ciacci, Pietro Liò, Tiago Azevedo, Andrea Di Cencio, Marco Merella, Giovanni Bianucci, Giulia Bosio, Simone Casati, Alberto Collareta:
Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks. CoRR abs/2405.04189 (2024) - 2022
- [j1]Tiago Azevedo, Alexander Campbell, Rafael Romero-Garcia, Luca Passamonti, Richard A. I. Bethlehem, Pietro Liò, Nicola Toschi:
A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data. Medical Image Anal. 79: 102471 (2022) - 2021
- [c6]Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji:
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification. ICCVW 2021: 2095-2104 - [i8]Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji:
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification. CoRR abs/2108.06317 (2021) - [i7]Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji:
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks. CoRR abs/2111.08163 (2021) - [i6]Johanna Rock, Tiago Azevedo, René de Jong, Daniel Ruiz-Muñoz, Partha Maji:
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications. CoRR abs/2111.09838 (2021) - 2020
- [c5]Alexandru-Catalin Filip, Tiago Azevedo, Luca Passamonti, Nicola Toschi, Pietro Liò:
A novel Graph Attention Network Architecture for modeling multimodal brain connectivity. EMBC 2020: 1071-1074 - [c4]Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
A deep spatiotemporal graph learning architecture for brain connectivity analysis. EMBC 2020: 1120-1123 - [i5]Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
Towards a predictive spatio-temporal representation of brain data. CoRR abs/2003.03290 (2020) - [i4]Tiago Azevedo, René de Jong, Partha Maji:
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts. CoRR abs/2009.02967 (2020)
2010 – 2019
- 2019
- [c3]Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features. AIAI 2019: 475-486 - 2016
- [i3]Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa:
Densifying the sparse cloud SimSaaS: The need of a synergy among agent-directed simulation, SimSaaS and HLA. CoRR abs/1601.08116 (2016) - [i2]Tiago Azevedo, Paulo J. M. de Araújo, Rosaldo J. F. Rossetti, Ana Paula C. Rocha:
JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control. CoRR abs/1601.08154 (2016) - [i1]Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa:
A State-of-the-art Integrated Transportation Simulation Platform. CoRR abs/1601.08162 (2016) - 2015
- [c2]Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa:
A state-of-the-art integrated transportation simulation platform. MT-ITS 2015: 340-347 - [c1]Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa:
Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA. SIMULTECH 2015: 172-177
Coauthor Index
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