IT-Online

Data Scientist (Python, Machine Learning, LLMs) – (In Office) CPT – Western Cape Cape Town

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...
IEEE

Feature Selection With Maximal Relevance and Minimal Supervised Redundancy

Abstract: Feature selection (FS) for classification is crucial for large-scale images and bio-microarray data using machine learning. It is challenging to select informative features from ...
GitHub

mala-lab/Awesome-Deep-Graph-Anomaly-Detection

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...
Frontiers

KISL: knowledge-injected semi-supervised learning for biological co-expression network modules

The exploration of important biomarkers associated with cancer development is crucial for diagnosing cancer, designing therapeutic interventions, and predicting prognoses. The analysis of gene ...
Scientific Research Publishing

A Novel Efficient and Effective Preprocessing Algorithm for Text Classification ()

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...
Frontiers

Deep learning techniques for cancer classification using microarray gene expression data

Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection. The use of DNA microarray technology to ...
GitHub

MILK: MACHINE LEARNING TOOLKIT

Milk is a machine learning toolkit in Python. Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also ...