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Tiago Azevedo
Tiago Azevedo
Verified email at cst.cam.ac.uk - Homepage
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Cited by
Cited by
Year
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
202019
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
192014
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
172022
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts
T Azevedo, R de Jong, M Mattina, P Maji
arXiv preprint arXiv:2009.02967, 2020
172020
Deep Learning Enables Fast and Accurate Imputation of Gene Expression
R Viñas, T Azevedo, ER Gamazon, P Liò
Frontiers in Genetics 12, 2021
16*2021
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), 1330, 2022
152022
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
152021
Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review
RJ Borchert, T Azevedo, AP Badhwar, J Bernal, M Betts, R Bruffaerts, ...
Alzheimer's & Dementia, 2023
132023
Population graph GNNs for brain age prediction
K Stankeviciute, T Azevedo, A Campbell, R Bethlehem, P Lio
ICML Workshop on Graph Representation Learning and Beyond (GRL+), 17-83, 2020
13*2020
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
92020
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
82020
Towards a predictive spatio-temporal representation of brain data
T Azevedo, L Passamonti, P Lio, N Toschi
arXiv preprint arXiv:2003.03290, 2020
82020
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
82015
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), 24, 2021
72021
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
72021
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
42021
A machine learning tool for interpreting differences in cognition using brain features
T Azevedo, L Passamonti, P Lió, N Toschi
Artificial Intelligence Applications and Innovations: 15th IFIP WG 12.5 …, 2019
42019
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
32015
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks
G Xia, S Ha, T Azevedo, P Maji
I (Still) Can't Believe It's Not Better! NeurIPS 2021 Workshop, 2021
12021
Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
T Azevedo, RAI Bethlehem, DJ Whiteside, N Swaddiwudhipong, JB Rowe, ...
Communications Medicine 3 (1), 100, 2023
2023
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Articles 1–20