GitHub

c-lasso: a Python package for constrained sparse regression and classification

c-lasso is a Python package that enables sparse and robust linear regression and classification with linear equality constraints on the model parameters. For detailed info, one can check the ...
The Lancet

Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study

cDepartment of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China dDepartment of Radiation Oncology, The First Affiliated Hospital of Guangzhou Medical ...
Nature

DACBT: deep learning approach for classification of brain tumors using MRI data in IoT healthcare environment

The classification of brain tumors (BT) is significantly essential for the diagnosis of Brian cancer (BC) in IoT-healthcare systems. Artificial intelligence (AI) techniques based on Computer aided ...
Frontiers

Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests

Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...
Nature

Classification of ransomware using different types of neural networks

Malware threat the security of computers and Internet. Among the diversity of malware, we have “ransomware”. Its main objective is to prevent and block access to user data and computers in exchange ...
GitHub

transforEmotion: Sentiment Analysis for Text, Image and Video Using Transformer Models

With transforEmotion you can use cutting-edge transformer models for zero-shot emotion classification of text, image, and video in R — without the need for a GPU, subscriptions, or paid services, and ...
Frontiers

tascCODA: Bayesian Tree-Aggregated Analysis of Compositional Amplicon and Single-Cell Data

tascCODA posits a Dirichlet-Multinomial model for Y i,⋅ for each sample i ∈ 1…, n, thus accounting for the compositional nature of the count data. The covariates are associated with the features ...
Scientific Research Publishing

Prediction of Accident Severity Using Artificial Neural Network: A Comparison of Analytical Capabilities between Python and R ()

1 Department of Electronics, Computing and Mathematics, University of Derby, Derby, UK. 2 Department of Computer Science and Intelligent Systems, Iwate University, Morioka, Japan. 3 BAC International ...
LinkedIn

The Ultimate guide to AI, Data Science & Machine Learning, Articles, Cheatsheets and Tutorials ALL in one place

This is a carefully curated compendium of articles & tutorials covering all things AI, Data Science & Machine Learning for the beginner to advanced practitioner. I will be periodically updating this ...
PNAS

A neuromorphic network for generic multivariate data classification

One primary goal of computational neuroscience is to uncover fundamental principles of computations that are performed by the brain. In our work, we took direct inspiration from biology for a ...