IEEE

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
GitHub

linearToDB Transformation and Min-Max Normalization Range Discrepancy for Sentinel-1

We are trying to replicate the data processing pipeline described in the STURM-Flood paper. The pipeline involves processing Sentinel-1 SAR data. We've encountered a potential discrepancy regarding ...
GitHub

[RFC] Lower bound for min-max normalization technique in Hybrid query

This document describes details of design for Explainability in Hybrid Query. This feature has been requested through GitHub issues #150 and #299. Hybrid search combines multiple query types, like ...
Frontiers

Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study

Achieving remission is a critical therapeutic goal in the management of rheumatoid arthritis (RA). Despite methotrexate being the cornerstone of early RA treatment, a significant proportion of ...
The Conversation

‘It’s time to give up on normal’: what winter’s weird weather means for the warm months ahead

Heavy winds struck south-east Australia over the weekend as a series of cold fronts moved across the continent. It followed a high fire danger in Sydney and other parts of New South Wales last week, ...