Tiago Azevedo

Orcid: 0000-0002-2052-3832

Affiliations:
  • University of Cambridge, Department of Computer Science, Cambridge, UK
  • University of Porto, Faculty of Engineering, Porto, Portugal (2010 - 2016)


According to our database1, Tiago Azevedo authored at least 18 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis.
CoRR, February, 2026

A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Large Language Models.
CoRR, January, 2026

2025
Unified Generative Latent Representation for Functional Brain Graphs.
CoRR, November, 2025

Do We Need Curved Spaces? A Critical Look at Hyperbolic Graph Learning in Graph Classification.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Uncertainty-Aware Tau Detection in Progressive Supranuclear Palsy Using Object Detection Models.
Proceedings of the 14th International Symposium on Image and Signal Processing and Analysis, 2025

2024
Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks.
CoRR, 2024

2022
A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data.
Medical Image Anal., 2022

2021
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications.
CoRR, 2021

An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks.
CoRR, 2021

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts.
CoRR, 2020

Towards a predictive spatio-temporal representation of brain data.
CoRR, 2020

A novel Graph Attention Network Architecture for modeling multimodal brain connectivity.
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.
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.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2016
JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control.
CoRR, 2016

2015
Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA.
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.
Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015


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