RMD Open

Systemic lupus erythematosus damage risk index (SLE-DRI): a simple machine learning-based tool for identifying patients at risk for early organ damage

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).

Tiffany “New York Pollard” Details Non-Binary Identity

Tiffany “New York” Pollard explained why she resonates more as non-binary while discussing her gender identity and ...

Neural network method can automatically identify rare heartbeat stars

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences (CAS) have unveiled a neural network-based ...

Ramona 17-year-old awarded $25,000 scholarship for binary star project

Zinia Khattar of San Diego, the second Fellow, was awarded a $50,000 science scholarship. “Being named a Davidson Fellow is a ...
IEEE

Semantic Change Detection in HR Remote Sensing Images With Joint Learning and Binary Change Enhancement Strategy

Abstract: Semantic change detection (SCD) in high-resolution (HR) remote sensing images faces two issues: 1) isolated network for binary change detection (BCD) within multitask architecture result in ...
GitHub

winterdrive/binary-semantic-segmentation

This project implements a U-Net architecture for binary semantic segmentation, specifically designed to segment pets (cats and dogs) from background in images. The model learns to generate pixel-wise ...
Scientific Research Publishing

Amin, F. and Mahmoud, M. (2022) Confusion Matrix in Binary Classification Problems: A Step-by-Step Tutorial. Journal of Engineering Research, 6, Article No. 1.

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Interesting Engineering

China starts producing world-first non-binary AI chips for aviation, manufacturing

China has started mass production of the world’s first non-binary chips, adding this new technology to important industries like aviation and manufacturing. Spearheaded by Professor Li Hongge and his ...
Scientific Research Publishing

Haghish, E.F. and Czajkowski, N. (2023) Reconsidering False Positives in Machine Learning Binary Classification Models of Suicidal Behavior. Current Psychology, 43, 10117-10121.

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
indiafilings.com

BINARYKEEDA LEARNING PRIVATE LIMITED

BINARYKEEDA LEARNING PRIVATE LIMITED is a Private Limited Company, governed by the Companies Act as a company limited by shares. Classified as a Non-government company, it is registered under the ...
IEEE

Shortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics

Abstract: The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidden biases ...
istockphoto

AI. Artificial intelligence. Abstract grid wave sphere with letters AI. Machine learning technology. Neural networks. Binary code background with digits 1.0. Binary Data Flow ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...