GitHub

Autoresearch for weather dycores.

Autoresearch for weather dycores. Contribute to khzhao/dynamaxx development by creating an account on GitHub.
GitHub

Text classification with Convolution Neural Networks (CNN)

Combine word-level with character-based input. The char input ist optional and can be used for further reasearch. Change padding of conv-layer from same to valid. Add average pooling after conv-layer ...
Frontiers

Contrastive self-supervised learning for neurodegenerative disorder classification

Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans.
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
C&EN

Deep and Transfer Learning Approaches for Automated Early Detection of Monkeypox (Mpox) Alongside Other Similar Skin Lesions and Their Classification

Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia ...
Hacker

Binary Classification: Understanding Activation and Loss Functions with a PyTorch Example

The basic principles required to solve classification tasks with neural networks are used as building blocks in more complicated deep learning problems such as object detection and instance ...
Scientific Research Publishing

Multi-Label Chest X-Ray Classification via Deep Learning ()

In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...
eLife

DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored ...
cancerhealth

Blood Test for Multi-Cancer Screening Has Impressive Success Rate

“These data suggest that, if used alongside existing screening tests, the multi-cancer detection test could have a profound impact on how cancer is detected and, ultimately, on public health,” Eric A.