Why Investors Should Care About Midstream Classifications

The Energy MLP Classification Standard (EMCS) categorizes energy infrastructure companies based on their primary source of ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

aMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada ...
GitHub

Probmetrics: Classification metrics and post-hoc calibration

[2] Structured Matrix Scaling for Multi-Class Calibration (see also: experiments) [3] A Variational Estimator for Lp Calibration Errors (see also all experiments) [4] CalArena: A Large-Scale Post-Hoc ...
SciELO

RESEARCH ON REMOTE SENSING CROP CLASSIFICATION BASED ON IMPROVED U-NET

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...
GitHub

Multi-class Focal Loss

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, https://arxiv.org/abs/1708.02002, generalized to the multi-class case. It is ...
IEEE

Introducing Image Classification Efficacies

Abstract: Accuracy assessment is essential in all image classification-related fields, ranging from molecular imaging to earth observation. However, existing accuracy metrics are too sensitive to ...
IEEE

Research on Imbalanced Microscopic Image Classification of Harmful Algae

Abstract: Image analysis based on biological morphological differences is an important development direction for classification and determination of planktonic algae. However, it has some shortages, ...