Latest Articles for Data Science

A new approach to teaching data science ethics using real-world surveillance examples.

A new method to find overlapping groups in complex networks.

This study compares the effectiveness of generative and human responses in training retrieval models.

A method that helps learning algorithms adjust to shifting data without prior knowledge.

HI-Concept improves understanding of language model predictions through impactful feature analysis.

A look at enhancing loss functions to handle label noise effectively.

A new framework improves question answering through relationship focus.

A new framework for decision trees focuses on cost-effective learning from streaming data.

A new approach uses machine learning to speed up dark matter simulations.

A diverse dataset supporting the growth of self-driving car technology.

Smaller datasets can improve model training efficiency and preserve essential information.

A new dataset aids machines in answering questions about Norwegian text.

SeqAug enhances machine learning by improving data augmentation for various data types.

Demure enhances multi-modal recommendation systems by filtering out irrelevant information.

This study examines and addresses gender bias in machine learning image captions.

A new method enhances emotion detection despite noisy data labels.

Using background classes enhances model accuracy in image classification tasks.

A new approach to combine deep learning models without retraining.

Exploring weak supervision methods for better hate speech classification across datasets.

A study on improving machine responses through dynamic context graphs.

A new method improves QA systems' adaptability to diverse domains.

Learn how statistical methods help track and infer epidemic dynamics effectively.

A look into managing risks in failure analysis through advanced statistical methods.

A new method to enhance learning from noisy data in machine learning.

ULTR aims to create unbiased systems for better search and recommendations.

Exploring how multicalibration improves fairness in AI predictions.

A look into making clustering results easier to explain and understand.

A new dataset aids in studying connections in biomedical literature.

Introducing techniques to enhance decision-making in uncertain environments.

This work enhances language model text generation through advanced sampling calibration techniques.

Examining the role of fairness in systems that recognize human emotions.

Addressing sentiment analysis challenges for low-resource African languages.

New methods improve learning in neural networks with noisy data.

This article presents an innovative method to control quadrotor drones using real data.

Researchers enhance image captioning by refining training data quality.

Creating a dataset to better understand time and space complexities across programming languages.

A new method tackles class imbalance for fairer model performance.

Discover how human teachers enhance growing-batch reinforcement learning methods.

Explore how EE-Net improves decision-making in contextual bandits for various applications.

Using optimal transport to improve machine learning across different data styles.