Multiresolution Methods for Convolutional Neural Networks

Medaboost — An Improved Ensemble Learning Algorithm in Classification with Multiple Annotations

Fast Gaussian Process Solver

Pre-Ictal Window Identification via Logistic Regression

Computational and Experimental Studies of Selective Rhodium-Catalyzed Allylic C–H Functionalization through π-Allyl Intermediates and Computational Development of Macrocycle Leads for Undruggable Targets

Generative Adversarial Networks as a Method to Produce Elliptic Curves by Rank

Interpretable Brain Network Analysis with Graph Neural Networks

Modeling and Predicting Storm Surges Using Machine Learning Methods

Deep Learning for EHR-Based Diagnosis Prediction: A General Recipe

Estimating short- and long-term impact of COVID-19 on air quality, human health, and economic losses in China through machine learning counterfactual simulations

Using Machine Learning Algorithms to Predict Conditions for Protein Crystallization

Pre-Training Graph Neural Networks for Data-Efficient Brain Network Analysis

CONSchema: Schema matching with semantics and constraints

Data-Driven Fine-Grained Epidemic Modeling via Graph Neural Networks

Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches

Precision particle tracking of discretized light spots in images using machine learning