Latest Articles for Data Science

A method to adapt machine learning models without needing source data.

A new method identifies unusual patterns in evolving networks to enhance anomaly detection.

The Clustered Mallows Model improves how we analyze preferences in rankings.

Diverse features enhance models' ability to identify new data categories effectively.

Explore essential probability distributions used in various fields and their applications.

New methods boost time series forecasting accuracy through improved token analysis.

A new dataset enhances anomaly detection for wind turbine maintenance and performance.

RS3L enhances model training using re-simulation techniques in high-energy physics.

This study benchmarks quantum models against classical ones, revealing key insights.

New model improves machine learning by separating complex data into simpler parts.

RLLC enhances traditional optimizers by using memory units for better performance.

Exploring how transformer models enhance molecular property predictions across various fields.

A new method improves few-shot segmentation using visual prompts and attention mechanisms.

Learn how statistical distances assess generative models' performance across various fields.

NCL improves interpretability and performance in machine learning tasks.

Exploring the balance of real and generated data for better machine learning performance.

A new method rapidly identifies features in lunar images without extensive human input.

A new model enhances activity recognition by focusing on temporal relations among actions.

DPN enhances click-through rate prediction through user behavior modeling.

A dataset helping improve car design through detailed aerodynamic analysis.

A new dataset and framework for tracking soccer players using single-camera video footage.

RegDiffusion offers a new method for understanding gene interactions effectively.

UnifyImmun predicts antigen binding, enhancing cancer immunotherapy effectiveness.

Introducing CAGE, a method that incorporates causality for clearer AI explanations.

A new method enhances multimodal models using shared visual prompts.

This article presents a method for improving uncertainty estimates in TinyML applications.

A look at the progress in paraphrase generation methods using knowledge distillation.

New algorithms boost efficiency in active learning with neural networks.

MOAgent makes complex biological data analysis accessible for researchers.

A method to reduce bias in existing deep learning models using minimal examples.

A novel method to ensure fairness in AI systems using historical data.

A framework combining self-assessment and search methods to enhance language model performance.

This article discusses enhancing Additive Gaussian Processes using a new approach called Kernel Multigrid.

PureForest provides essential data for better forest management and tree species identification.

This study assesses how well multimodal models handle complex compositional tasks.

ParaFusion offers a high-quality dataset for effective paraphrase generation.

A study examines how instrumental variables can refine propensity score models in drug research.

Innovative methods enhance satellite movement predictions and control.

Integrating soft physical information enhances neural network predictions in hydraulic modeling.

A framework enhances next-point-of-interest recommendations using large language models and contextual data.