9 citations · 21 across the 5 of their papers we have counts for
5 papers
Adaptive Interventions for Global Health: A Case Study of Malaria
África Periáñez, Andrew Trister, Madhav Nekkar +2
Malaria can be prevented, diagnosed, and treated; however, every year, there are more than 200 million cases and 200.000 preventable deaths. Malaria remains a pressing public healt…
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen, Chengkuan Chen, Yicong Li +4
Vision Transformers (ViTs) and their multi-scale and hierarchical variations have been successful at capturing image representations but their use has been generally studied for lo…
Learning Disease vs Participant Signatures: a permutation test approach to detect identity confounding in machine learning diagnostic applications
Elias Chaibub Neto, Abhishek Pratap, Thanneer M Perumal +6
Recently, Saeb et al (2017) showed that, in diagnostic machine learning applications, having data of each subject randomly assigned to both training and test sets (record-wise data…
Reducing overfitting in challenge-based competitions
Elias Chaibub Neto, Bruce R Hoff, Chris Bare +10
Over-fitting is a dreaded foe in challenge-based competitions. Because participants rely on public leaderboards to evaluate and refine their models, there is always the danger they…
Towards personalized causal inference of medication response in mobile health: an instrumental variable approach for randomized trials with imperfect compliance
Elias Chaibub Neto, Ross L Prentice, Brian M Bot +5
Mobile health studies can leverage longitudinal sensor data from smartphones to guide the application of personalized medical interventions. In this paper, we propose that adoption…