Latest Articles for Data Science

A machine learning approach offers faster, more accurate climate predictions.

Combining LLMs and Prolog improves reasoning in text generation.

A detailed look at the MMAU benchmark for language models.

DropKAN improves KANs' performance by addressing Dropout issues.

A new framework improves community detection through higher-order fuzzy memberships.

Learn how prompt engineering improves the performance of language models in NLP tasks.

A new dataset accelerates molecular property predictions for drug design.

A new system improves tissue classification using deep learning techniques.

A new method for measuring uncertainty in deep learning, especially in survival analysis.

This article discusses methods to enhance ASR for languages with limited data.

Discover how transfer learning improves model outcomes using knowledge from related tasks.

Introducing innovative metrics for SPD matrices to improve stability and usability.

Exploring the role of domain-specific and uncertainty-aware models in healthcare.

Exploring the integration of quantum computing into machine learning for improved performance.

Recent machine learning techniques improve tracking in high-energy physics experiments.

New event cameras enhance sign language recognition and translation accuracy, improving communication tools.

Scientists use scattering transforms to enhance cosmic data interpretation and modeling.

New framework improves models' ability to answer time-sensitive questions.

New method enhances Bayesian Neural Networks for better generalization in transfer learning.

A new method combining offline and online reinforcement learning for improved decision-making.

A new framework addresses fairness, privacy, interpretability, and emissions in AI.

This study highlights STR improvements using RoBERTa across languages.

A new method enhances classification accuracy for critical disease severity categories.

Introducing GOAR, a method for better understanding feature importance in AI.

A framework for improving AI sentiment analysis in healthcare conversations.

A model to forecast next actions in soccer games using past data.

A new approach makes machine learning tasks easier to understand and implement.

Researchers enhance 3D shape learning using diverse data sources for improved machine understanding.

An overview of SGD's role in machine learning optimization.

Exploring two methods for simplifying complex functions in mathematics and computer science.

A novel approach to enhance continual learning with prompts and knowledge distillation.

Learn effective methods for fine-tuning large language models with less data and lower costs.

KnewImp improves accuracy in missing data imputation and simplifies training processes.

A look at Markov random fields and their role in analyzing complex relationships.

A novel approach to improve language models using human feedback.

CoAPT enhances image classification through context attribute words in prompt tuning.

Research introduces Top-ML for better anticancer peptide prediction using topological features.

Introducing a method to create high-quality street views over long distances.

Introducing Random Latent Exploration: a novel approach to improve agent exploration.

A new method improves uncertainty estimation in machine learning applications.