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06/28/2023
Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare
The prodigious growth of digital health data has precipitated a mounting...
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02/06/2023
Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis
Chronic Obstructive Pulmonary Disease (COPD) is an irreversible airway o...
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01/28/2023
Predicting Students' Exam Scores Using Physiological Signals
While acute stress has been shown to have both positive and negative eff...
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07/01/2022
Deep Learning and Symbolic Regression for Discovering Parametric Equations
Symbolic regression is a machine learning technique that can learn the g...
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10/15/2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Deep learning techniques have been increasingly applied to the natural s...
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04/23/2021
Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems
Bayesian optimization (BO) is a popular paradigm for global optimization...
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07/16/2020
Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs
A key factor in the modern success of deep learning is the astonishing e...
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12/10/2019
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
Symbolic regression is a powerful technique that can discover analytical...
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10/22/2019
Toward estimating personal well-being using voice
Estimating personal well-being draws increasing attention particularly f...
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07/13/2019
