No Code Autonomous AI Research Assistant for Deep Web Research

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...
Deep Learning with Yacine on MSN

Visualizing high-dimensional data using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
IEEE

Unbiased Sample Selection and Label Improvement for Mitigating Noisy Labels in Class-Imbalanced Datasets

Abstract: Real-world datasets often suffer from both noisy labels and imbalanced class distribution, presenting significant challenges for the effective deployment of deep neural networks (DNNs).
IEEE

Methodology for Creating Annotated Datasets of Biological Objects in Microscopic Images

Abstract: The study presents a methodology for automatically creating an annotated dataset for further use in training neural networks. The method is based on the Crisp-DM framework and consists of 6 ...
GitHub

python tools for evaluating CORDEX datasets

Create a new environment, e.g., will give a dictionary of combined datasets containing the tas and pr variables identified by their instance id, e.g., ['CORDEX-CMIP6 ...
Journal of Medical Internet Research

Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation Study

However, there have been limited substantive efforts to address bias at the level of the data used to generate algorithms in healthcare datasets. Objective: We create a simple metric (AEquity) that ...