IEEE

Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...
Journal of Medical Internet Research

Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation

For the task of patient interactions, both data scientists and clinicians agreed that AI should not be used regardless of technological feasibility due to the importance of the physician-patient and ...
IEEE

Customer Segmentation through RFM Analysis and K-means Clustering: Leveraging Data-Driven Insights for Effective Marketing Strategy

Abstract: Consumer segmentation is a very effective methodology that could enable organizations to gain a deeper comprehension of their consumer base and customize their tactics accordingly in order ...
GitHub

Exploratory data analysis and RGenEDA tutorial for Compute and Conquer February 2026 blog post.

This repository houses a mock exploratory data analysis (EDA) to showcase the usage of RGenEDA from the publication: DNA Methylation and Transcription Patterns in Intestinal Epithelial Cells from ...