Elias Chaibub Neto
Orcid: 0000-0002-9575-861X
According to our database1,
Elias Chaibub Neto
authored at least 22 papers
between 2014 and 2024.
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Bibliography
2024
BMC Medical Informatics Decis. Mak., December, 2024
Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings.
Sensors, October, 2024
Statistical disclosure control for numeric microdata via sequential joint probability preserving data shuffling.
Trans. Data Priv., September, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
2021
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine, 2021
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants.
npj Digit. Medicine, 2020
Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features.
CoRR, 2020
Counterfactual confounding adjustment for feature representations learned by deep models: with an application to image classification tasks.
CoRR, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
Detecting the impact of subject characteristics on machine learning-based diagnostic applications.
npj Digit. Medicine, 2019
Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants.
CoRR, 2019
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Detecting Learning vs Memorization in Deep Neural Networks using Shared Structure Validation Sets.
CoRR, 2018
Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
2017
The feasibility of using smartphones to assess and remediate depression in Hispanic/Latino individuals nationally.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
2016
Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
2015
F1000Research, 2015
Identifying robust clusters and multi-community nodes by combining top-down and bottom-up approaches to clustering.
CoRR, 2015
2014
The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014