Latest Articles for Data Science

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.

Explore the connection between thermodynamics and machine learning to simplify complex systems.

Addressing accountability and replicability in ML through improved research claims.

A fresh approach improves predictions for session-based product recommendations.

A novel approach using genetic programming to enhance loss functions for image classification.

New dataset Square-10M significantly boosts open-source visual question answering capabilities.

A look at GLDGCN's role in improving node classification.

DietCL effectively combines labeled and unlabeled data for better learning.

A novel approach to improve outlier detection using advanced techniques.

New computational techniques improve gas behavior predictions in aerospace applications.

New method improves estimation in statistics through robust techniques.

An overview of NeRF applications transforming self-driving technology.

A new algorithm improves online learning by adapting to incoming data effectively.

A study on how ML can improve epilepsy diagnosis in low-resource areas.

A new framework for enhancing recommendations without prior data.

New framework enhances protein models using rich annotations for accurate predictions.

A novel method for detecting edited images using fewer resources.

This article discusses the integration of Bayesian deep learning into federated learning approaches.

New method aims to improve fairness in synthetic healthcare data generation.

Exploring the current state and future directions of Mathematical Expression Recognition technology.

This paper presents a novel strategy for improving regression tasks through active learning.