Latest Articles for Data Science

Addressing the issues of SHAP scores for better model explanation.

A new model improves risk assessment for AML patients using machine learning techniques.

A study on geodesics, injectivity radius, and cut points within the Stiefel manifold.

Machine learning improves predictions of band gaps, enhancing material electronic property insights.

Exploring how NCDEs reshape data learning and prediction.

Kite improves transferability estimation for better model selection in transfer learning.

A new approach to enhance deep learning models against adversarial attacks.

TS-CausalNN offers a fresh approach to causal relationships in time series data.

New techniques improve model performance against data shifts using non-convex loss functions.

Examining the role of representation in PPO and its impact on agent performance.

A new method enhances topic modelling using language models, reducing hallucination and improving granularity.

A new dataset combines user reviews and images to study hotel sentiments in Vietnam.

Study of reconstructing unknown terms in PDEs from noisy data using regularization methods.

BiomedRAG improves LLM accuracy by simplifying information retrieval in biomedicine.

A new method enhances reasoning in smaller language models for complex tasks.

New approaches improve understanding and transferability in neural networks.

A new method enhances time-series forecasting through effective data augmentation.

Wake Vision enhances person detection for TinyML with a vast dataset.

A new method enhances reasoning in language models through effective preference learning.

Examining resampling techniques for better regression estimates and predictions.

A study reveals how storytelling prompts enhance AI predictions compared to direct questioning.

AI is transforming the way we write and prove code correctness.

A new approach for clearer GNN predictions using edge-focused subgraph explanations.

A unified view on addressing oversmoothing challenges in Graph Neural Networks.

Examining the benefits of combining different data types in machine learning.

New dataset improves model performance on multi-image tasks.

A look at how IRM improves machine learning generalization across different environments.

A new training method enhances neural networks' ability to assess uncertainty.

A new framework enhances model performance with minimal user data.

Learn how the TREx framework improves online shopping recommendations.

A new system enhances the speed of detecting gravitational waves.

CoBFormer balances local and global attention for improved graph processing.

Researchers develop methods to improve calibration of black hole and galaxy models.

COPAL enhances language models for better adaptation without retraining.

Importance of focusing on tabular data for machine learning advancements.

Innovative method combines language models and human input for dialog datasets.

Learn how the Heavy Ball method enhances optimization techniques.

Learn how few-shot learning is transforming biomedical data analysis in healthcare.

Machine Learning enhances GNSS accuracy and adaptability in challenging environments.

CALRec framework enhances recommendations using Large Language Models and sequential data.