Latest Articles for Data Analysis

Combining Natural Language Inference and concept embeddings improves filling missing knowledge in ontologies.

EHR-ML enhances predictive modeling in healthcare for better patient outcomes.

Study compares rule-based and language model systems for extracting social support data.

Combining traditional and deep learning methods enhances image processing efficiency.

Introducing TABDet, a new method for detecting backdoor attacks across NLP tasks.

This article explores how text elements influence classification tasks in NLP.

A look at how DRM improves resource allocation in computing.

PowerGraph enhances analysis of power grid failures through advanced learning techniques.

Automated tool GGDMiner helps uncover relationships in graph data effortlessly.

Explore the role of machine learning in analyzing blockchain data for various uses.

This article discusses a method for connecting attack behaviors to techniques using MITRE ATTCK.

A new method enhances predictions of geomagnetic changes using machine learning.

Research aims to improve machine interpretation of 3D environments for safety.

A machine learning model provides timely estimates of New Zealand's greenhouse gas emissions.

DriveCoT improves self-driving car decision-making clarity and safety.

A new approach to mix data for better language model performance.

A method to separate relevant flow information for improved predictions and strategies.

A new method enhances hyperspectral unmixing using deep learning and attention mechanisms.

This research enhances decision-making under uncertainty using batch learning and dynamic strategies.

Linking legal predictions to precedent improves transparency and usability.

UrbanVLP combines macro and micro data for better urban predictions.

Research aims to improve lung function tests for better diagnosis and treatment.

A new method to assess novelty in generative AI outputs.

A new method improves uncertainty estimation in deep learning models.

A new technique identifies active galactic nuclei in less massive galaxies.

A framework for machines to learn user preferences from visual data.

Study highlights biases in fMRI data analysis methods.

A study on enhancing crop classification using diverse data sources and deep learning models.

A look into the causes and detection of inaccuracies in AI decision-making.

Exploring a new method for better decision-making in various fields.

BGWSR improves predictions in spatial data analysis using innovative statistical methods.

New software enhances star measurement accuracy using combined light data.

A guide to sampling methods and strategies in black-box optimization.

Using machine learning to improve web server vulnerability identification.

A new approach enhances malware detection using machine learning techniques.

A new method for identifying changes in compositional time series data.

FastOMA offers a quicker method for identifying gene relationships in large datasets.

Exploring genomic epidemiology advancements during the COVID-19 pandemic.

DCC-Tree offers a new way to handle uncertainty in decision tree predictions.

HERTA improves efficiency in training Unfolded GNNs while maintaining clarity and interpretability.