Latest Articles for Data Analysis

Examining how popularity bias affects user satisfaction in recommendation systems.

This paper examines effective methods for evaluating strategies using Markov decision processes.

A method using historical data for real-time basketball strategy development.

This study investigates biases in language models using soft-prompt tuning.

An overview of robust regression techniques and their effectiveness against outliers.

Research offers new methods for assessing speech clarity in dysarthria patients.

A deep dive into GWIGF and RIGF applications and properties.

Exploring advancements in parking guidance systems to improve urban mobility.

Discover the potential of the generalized Gamma distribution and the SeLF algorithm.

New methods enhance the speed of genomic data analysis using SBWT and LCP array.

This research examines how NBP decoders perform on unseen data and factors affecting generalization.

A new method improves spatial data partitioning for faster processing.

Efficient surrogate modeling enhances predictions in complex scientific applications.

A new method improves how GNNs explain their predictions.

Sparse Linear Centroid-Encoder simplifies feature selection for large datasets.

Evaluating how different data types influence research classification in scientific papers.

A new AI framework enhances understanding and segmentation of 3D medical images.

A new model improves feature selection in complex datasets.

AutoML simplifies machine learning for better medical image analysis.

A workshop focused on protecting the Amazon through data-driven techniques.

Methods to manage covariates in experiments for reliable results.

A look at evaluating cluster shapes and their importance in materials science.

Physics-informed neural networks enhance seismic data analysis and interpolation.

Bayesian Reinforcement Learning enhances voltage control amidst cyber threats.

Quantum computing offers improvements in forecasting with quantum discrete maps.

A new method enhances learning from demonstrations by identifying and correcting errors.

Guidelines for assessing the precision of different DFT methods for materials science.

Methods to identify shifts in data with heavy tails.

A new method improves specific text labeling through clustering approaches.

Examining how algorithms perform in the presence of noise during multi-objective optimization.

A study on how matter density changes over time in the universe.

A new method enhances large language models' performance in answering complex questions.

Exploring methods to ensure reliability and clarity in AI decision-making.

Assessing the role of generative networks in simulating particle physics data.

This article examines ChatGPT's performance on various biomedical tasks.

A new framework enhances sampling efficiency in complex probability distributions.

This study examines how well summarisation models capture diverse opinions.

Scientists improve particle identification using the aerogel RICH detector in Japan.

A look at biases in text-video retrieval and ways to enhance accuracy.

A deep dive into the complexities of clustering cancer data.