Pedro L. Ballester
Pedro L. Ballester
Verified email at mcmaster.ca
Title
Cited by
Cited by
Year
On the performance of GoogLeNet and AlexNet applied to sketches
P Ballester, R Araujo
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1302016
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
CS Perone, P Ballester, RC Barros, J Cohen-Adad
NeuroImage 194, 1-11, 2019
552019
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
322015
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
322014
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
192019
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
132019
Positive predictive values and potential success of suicide prediction models
GE Simon, SM Shortreed, RY Coley
JAMA psychiatry 76 (8), 868-869, 2019
132019
Thirtieth AAAI Conference on Artificial Intelligence
P Ballester, RM Araujo
AAAI Press, 2016
92016
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
82015
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
72016
Can we trust deep learning models diagnosis
EHP Pooch, PL Ballester, RC Barros
The impact of domain shift in chest radiograph classification. arXiv http …, 2019
62019
Who attempts suicide among medical students?
G Marcon, G Massaro Carneiro Monteiro, P Ballester, RM Cassidy, ...
Acta Psychiatrica Scandinavica 141 (3), 254-264, 2020
52020
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
42020
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
42020
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
42017
Structural and Functional Brain Correlates of Neuroprogression in Bipolar Disorder
D Librenza-Garcia, JS Suh, DP Watts, PL Ballester, L Minuzzi, ...
Springer, Berlin, Heidelberg, 2020
32020
Big data and machine learning meet the health sciences
IC Passos, P Ballester, JV Pinto, B Mwangi, F Kapczinski
Personalized Psychiatry, 1-13, 2019
32019
Multi-task reinforcement learning: an hybrid A3C domain approach
M Birck, U Corrêa, P Ballester, V Andersson, R Araujo
January, 2017
32017
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
12020
Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
PL Ballester
Pontifícia Universidade Católica do Rio Grande do Sul, 2019
12019
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Articles 1–20