The Technical Assistance (TA) assisted Somalia in reviewing its prudential regulation on classification and provisioning of ...

First, we pretrained the encoder of a transformer-based network using a self-supervised approach on unlabeled abdominal computed tomography images. Subsequently, we fine-tuned the segmentation network ...

Leibniz-Centre for Agricultural Landscape Research (ZALF) e.V. Email: stefan [dot] stiller [at] zalf [dot] de, stillsen [at] gmail [dot] com This repository contains the code for the study ...

Abstract: In this study, we propose an innovative dynamic classification algorithm aimed at achieving zero missed detections and minimal false positives, critical in safety-critical domains (e.g., ...

In this paper, Austin Whisnant describes a machine learning model used to build a corpus of insider threat data to support insider threat research. As the insider threat problem grows and becomes more ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. As machine learning continues to reshape the financial services industry, most headlines are ...

Abstract: This study developed a machine learning-based system to analyze student feedback on the quality of university courses, aiming to streamline the feedback process and enhance instructional ...

A new technical paper titled “Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification” was published by researchers at Korea University. “Semi-supervised learning ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...