Tiago Azevedo

20 papers C 2Misc 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Large Language Models.
CoRR
Michail Mamalakis, Tiago Azevedo, Cristian Cosentino, Chiara D'Ercoli, Subati Abulikemu, Zhongtian Sun, Richard A. I. Bethlehem, Pietro Lio
2026 J jnl
RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis.
CoRR
Chris Tomy, Mo Vali, David Pertzborn, Tammam Alamatouri, Anna Mühlig, Orlando Guntinas-Lichius, Anna Xylander, Eric Michele Fantuzzi, Matteo Negro, Francesco Crisafi, Pietro Lio, Tiago Azevedo
2025 C conf
Uncertainty-Aware Tau Detection in Progressive Supranuclear Palsy Using Object Detection Models.
ISPA
Gracie Zhou, Tiago Azevedo, Annelies Quaegebeur, Tanrada Pansuwan, Timothy Rittman, Pietro Lió
2025 J jnl
Unified Generative Latent Representation for Functional Brain Graphs.
CoRR
Subati Abulikemu, Tiago Azevedo, Michail Mamalakis, John Suckling
2024 J jnl
Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks.
CoRR
Andrea Barucci, Giulia Ciacci, Pietro Liò, Tiago Azevedo, Andrea Di Cencio, Marco Merella, Giovanni Bianucci, Giulia Bosio, Simone Casati, Alberto Collareta
2022 J jnl
A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data.
Medical Image Anal.
Tiago Azevedo, Alexander Campbell, Rafael Romero-Garcia, Luca Passamonti, Richard A. I. Bethlehem, Pietro Liò, Nicola Toschi
2021 J jnl
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks.
CoRR
Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji
2021 J jnl
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications.
CoRR
Johanna Rock, Tiago Azevedo, René de Jong, Daniel Ruiz-Muñoz, Partha Maji
2021 — conf
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification.
ICCVW
Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji
2021 J jnl
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification.
CoRR
Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji
2020 — conf
A deep spatiotemporal graph learning architecture for brain connectivity analysis.
EMBC
Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi
2020 — conf
A novel Graph Attention Network Architecture for modeling multimodal brain connectivity.
EMBC
Alexandru-Catalin Filip, Tiago Azevedo, Luca Passamonti, Nicola Toschi, Pietro Liò
2020 J jnl
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts.
CoRR
Tiago Azevedo, René de Jong, Partha Maji
2020 J jnl
Towards a predictive spatio-temporal representation of brain data.
CoRR
Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi
2019 Misc conf
A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features.
AIAI
Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi
2016 J jnl
A State-of-the-art Integrated Transportation Simulation Platform.
CoRR
Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa
2016 J jnl
Densifying the sparse cloud SimSaaS: The need of a synergy among agent-directed simulation, SimSaaS and HLA.
CoRR
Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa
2016 J jnl
JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control.
CoRR
Tiago Azevedo, Paulo J. M. de Araújo, Rosaldo J. F. Rossetti, Ana Paula C. Rocha
2015 — conf
A state-of-the-art integrated transportation simulation platform.
MT-ITS
Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa
2015 C conf
Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA.
SIMULTECH
Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa