Latest Articles for Data Analysis

New methods enhance causal effect estimation from observational and interventional data.

Cortexa simplifies study of gene expression and splicing in mouse brains.

A look into the components of information and their relationships.

This article examines feature selection methods in machine learning, comparing classical and quantum techniques.

Developing a dataset for different reading perspectives in scientific texts.

A simple overview of tensor decomposition and its various applications.

Examining how nonlinear transformations improve ridge estimation in high-dimensional data.

Researchers analyze distances in sequences to uncover patterns across various scientific fields.

A web platform helping researchers analyze and visualize microbiome data effectively.

A computer program models cancer growth and spread for better understanding.

Learn how quantum phase estimation and compressed sensing reshape computing.

A novel approach enhances understanding of how interventions affect microbial communities.

Investigating how AI can replicate significant scientific studies.

Improving pedestrian detection models to retain knowledge while learning new datasets.

FeedbackMap simplifies the analysis of open-ended survey responses for organizations.

A new approach enhances template matching efficiency in computer vision tasks.

This article investigates the convergence behavior of Invariant Graph Networks.

Introducing LM4HPC, a framework to enhance language model application in HPC tasks.

This research enhances model performance in changing data environments through improved adaptation methods.

A new approach improves accuracy in identifying jet flavours during particle experiments.

New methods for analyzing sensitive data while ensuring individual privacy.

New methods help estimate electrical grid impedance without extensive measurements.

A look at various techniques for flame segmentation in industrial applications.

New algorithm N-VR-PG improves decision-making in complex environments.

Learn how Principal Matrix Features streamline data analysis across various fields.

OrthoPhyl simplifies bacterial family tree analysis using genetic data.

MedLSAM automates the analysis of medical images for improved efficiency and accuracy.

ReSeq improves matching by adapting to changing user preferences in real-time.

Learn how to detect collinearity for accurate data analysis.

Innovative approaches tackle inverse problems using learning-based techniques and invertible networks.

New framework improves accuracy and efficiency in medical image segmentation.

A new graph-based method enhances event extraction from text.

A study on methods for finding hidden data blocks in random matrices.

New video detection method improves ICU patient monitoring while ensuring privacy.

STEF-DHNet improves ride demand forecasts for better service and efficiency.

New method enhances food demand predictions for smart fridges.

Exploring the importance of explainable AI for trustworthy decision-making.

A method to identify rumor sources without needing prior information.

A deep dive into DRL techniques for effective portfolio management and evaluation.

Introducing a flexible model for better analysis of varied count data.