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Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images

Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images

Improving Adversarial Robustness via Attention and Adversarial Logit Pairing

Improving Adversarial Robustness via Attention and Adversarial Logit Pairing

Application of Laser-Induced Breakdown Spectroscopy Coupled With Spectral Matrix and Convolutional Neural Network for Identifying Geographical Origins of Gentiana rigescens Franch

Application of Laser-Induced Breakdown Spectroscopy Coupled With Spectral Matrix and Convolutional Neural Network for Identifying Geographical Origins of Gentiana rigescens Franch

Language Models Explain Word Reading Times Better Than Empirical Predictability

Language Models Explain Word Reading Times Better Than Empirical Predictability

Enabling Training of Neural Networks on Noisy Hardware

Enabling Training of Neural Networks on Noisy Hardware

A United States Fair Lending Perspective on Machine Learning

A United States Fair Lending Perspective on Machine Learning

Deep Learning–Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability

Deep Learning–Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability

Forecasting Quoted Depth With the Limit Order Book

Forecasting Quoted Depth With the Limit Order Book

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark

Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations

Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations

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