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An Exploratory Review on the Potential of Artificial Intelligence for Early Detection of Acute Kidney Injury in Preterm Neonates

A Novel Method for Improving the Robustness of Deep Learning-Based Malware Detectors Against Adversarial Attacks

Towards Better Generalization For Neural Network-Based SAT Solvers

Convolutional neural networks for image segmentation in clinical applications

CRaDLe: Deep code retrieval based on semantic dependency learning

The classification of construction waste material using a deep convolutional neural network

The Impact of Artificial Intelligence on Branding: A Bibliometric Analysis (1982-2019)

Learning to handle exceptions

A Novel Neural Source Code Representation Based on Abstract Syntax Tree

A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption

CAWRES: a waveform retracking fuzzy expert system for optimizing coastal sea levels from Jason-1 and Jason-2 satellite altimetry data

Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: a comparison of conventional and machine-learning methods

An iterative coastal altimetry retracking strategy based on fuzzy expert system for improving sea surface height estimates

ANN-based model for predicting the bearing capacity of strip footing on multi-layered cohesive soil

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