Tiago Azevedo
Tiago Azevedo
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Citado por
JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control
T Azevedo, PJM de Araújo, RJF Rossetti, AP Rocha
Proceedings of the 8th International Workshop on Agents in Traffic and …, 2014
Integration of machine learning methods to dissect genetically imputed transcriptomic profiles in Alzheimer’s disease
C Maj, T Azevedo, V Giansanti, O Borisov, GM Dimitri, S Spasov, ...
Frontiers in genetics 10, 726, 2019
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts
T Azevedo, R de Jong, M Mattina, P Maji
arXiv preprint arXiv:2009.02967, 2020
Towards a predictive spatio-temporal representation of brain data
T Azevedo, L Passamonti, P Lio, N Toschi
arXiv preprint arXiv:2003.03290, 2020
Population Graph GNNs for Brain Age Prediction
K Stankevičiūtė, T Azevedo, A Campbell, RAI Bethlehem, P Liò
bioRxiv, 2020
A State-of-the-art Integrated Transportation Simulation Platform
T Azevedo, RJF Rossetti, JG Barbosa
Proceedings of the 4th International Conference on Models and Technologies …, 2015
A novel Graph Attention Network Architecture for modeling multimodal brain connectivity
AC Filip, T Azevedo, L Passamonti, N Toschi, P Lio
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data
T Azevedo, A Campbell, R Romero-Garcia, L Passamonti, RAI Bethlehem, ...
Medical Image Analysis 79, 102471, 2022
A geroscience approach for Parkinson’s disease: Conceptual framework and design of PROPAG-AGEING project
C Pirazzini, T Azevedo, L Baldelli, A Bartoletti-Stella, ...
Mechanisms of Ageing and Development 194, 111426, 2021
Deep Learning Enables Fast and Accurate Imputation of Gene Expression
R Viñas, T Azevedo, ER Gamazon, P Liò
Frontiers in Genetics 12, 2021
A deep spatiotemporal graph learning architecture for brain connectivity analysis
T Azevedo, L Passamonti, P Liò, N Toschi
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients
E Zago, A Dal Molin, GM Dimitri, L Xumerle, C Pirazzini, MG Bacalini, ...
Scientific reports 12 (1), 1-13, 2022
A machine learning tool for interpreting differences in cognition using brain features
T Azevedo, L Passamonti, P Lió, N Toschi
IFIP International Conference on Artificial Intelligence Applications and …, 2019
Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA
T Azevedo, RJF Rossetti, JG Barbosa
Proceedings of the 5th International Conference on Simulation and Modeling …, 2015
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications
J Rock, T Azevedo, R de Jong, D Ruiz-Muñoz, P Maji
arXiv preprint arXiv:2111.09838, 2021
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
T Azevedo, GM Dimitri, P Lió, ER Gamazon
npj Systems Biology and Applications 7 (1), 1-13, 2021
Artificial intelligence for diagnosis and prognosis in neuroimaging for dementia; a systematic review
RJ Borchert, T Azevedo, A Badhwar, J Bernal, M Betts, R Bruffaerts, ...
medRxiv, 2021
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
SA Tailor, R de Jong, T Azevedo, M Mattina, P Maji
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Data-driven representations in brain science: modelling approaches in gene expression and neuroimaging domains
T Azevedo
University of Cambridge, 2022
Identifying healthy individuals with Alzheimer neuroimaging phenotypes in the UK Biobank
T Azevedo, RAI Bethlehem, DJ Whiteside, N Swaddiwudhipong, JB Rowe, ...
medRxiv, 2022
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