Pedro L. Ballester
Pedro L. Ballester
Geverifieerd e-mailadres voor mcmaster.ca
Geciteerd door
Geciteerd door
On the performance of GoogLeNet and AlexNet applied to sketches
P Ballester, RM Araujo
Thirtieth AAAI Conference on Artificial Intelligence, 2016
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
CS Perone, P Ballester, RC Barros, J Cohen-Adad
NeuroImage 194, 1-11, 2019
Depression, anxiety, and lifestyle among essential workers: a web survey from Brazil and Spain during the COVID-19 pandemic
RB De Boni, V Balanzá-Martínez, JC Mota, TDA Cardoso, P Ballester, ...
Journal of medical Internet research 22 (10), e22835, 2020
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
EHP Pooch, PL Ballester, RC Barros
arXiv preprint arXiv:1909.01940, 2019
An open-source bio-inspired solution to underwater SLAM
L Silveira, F Guth, P Drews-Jr, P Ballester, M Machado, F Codevilla, ...
IFAC-PapersOnLine 48 (2), 212-217, 2015
Underwater SLAM: Challenges, state of the art, algorithms and a new biologically-inspired approach
F Guth, L Silveira, S Botelho, P Drews, P Ballester
5th IEEE RAS/EMBS international conference on biomedical robotics and …, 2014
Machine learning and big data analytics in bipolar disorder: a position paper from the International Society for Bipolar Disorders Big Data Task Force
IC Passos, PL Ballester, RC Barros, D Librenza‐Garcia, B Mwangi, ...
Bipolar Disorders 21 (7), 582-594, 2019
Who attempts suicide among medical students?
G Marcon, G Massaro Carneiro Monteiro, P Ballester, RM Cassidy, ...
Acta Psychiatrica Scandinavica 141 (3), 254-264, 2020
Can we trust deep learning based diagnosis? the impact of domain shift in chest radiograph classification
EHP Pooch, P Ballester, RC Barros
International Workshop on Thoracic Image Analysis, 74-83, 2020
Predictors of suicide attempt in patients with obsessive-compulsive disorder: an exploratory study with machine learning analysis
NA Agne, CG Tisott, P Ballester, IC Passos, YA Ferrão
Psychological medicine, 1-11, 2020
Prediction of suicide attempts in a prospective cohort study with a nationally representative sample of the US population
C dos Santos Machado, PL Ballester, B Cao, B Mwangi, MA Caldieraro, ...
Psychological medicine, 1-12, 2021
A topological descriptor of acoustic images for navigation and mapping
MM Dos Santos, P Ballester, GB Zaffari, P Drews, S Botelho
2015 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium …, 2015
Big data and machine learning meet the health sciences
IC Passos, P Ballester, JV Pinto, B Mwangi, F Kapczinski
Personalized Psychiatry, 1-13, 2019
A topological descriptor of forward looking sonar images for navigation and mapping
M Machado, G Zaffari, P Ballester, P Drews-Jr, S Botelho
Robotics, 120-134, 2016
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification. arXiv 2019
EHP Pooch, PL Ballester, RC Barros
arXiv preprint arXiv:1909.01940, 1909
Precision psychiatry: the future is now
IC Passos, P Ballester, FD Rabelo-da-Ponte, F Kapczinski
The Canadian Journal of Psychiatry, 0706743721998044, 2021
Structural and Functional Brain Correlates of Neuroprogression in Bipolar Disorder
D Librenza-Garcia, JS Suh, DP Watts, PL Ballester, L Minuzzi, ...
Bipolar Disorder: From Neuroscience to Treatment, 197-213, 2020
Multi-task reinforcement learning: an hybrid A3C domain approach
M Birck, UB Correa, P Ballester, VO Andersson, RM Araujo
January, 2017
Predicting brain age at slice level: convolutional neural networks and consequences for interpretability
PL Ballester, LT Da Silva, M Marcon, NB Esper, BN Frey, A Buchweitz, ...
Frontiers in Psychiatry, 118, 2021
Assessing the performance of convolutional neural networks on classifying disorders in apple tree leaves
P Ballester, UB Correa, M Birck, R Araujo
Latin American Workshop on Computational Neuroscience, 31-38, 2017
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Artikelen 1–20