Latest Articles for Data Science

New method improves adversarial attacks on deep neural networks using semantic changes.

This research focuses on enhancing robotic manipulation through new datasets and learning strategies.

This article discusses the role of ensembles in improving multi-step data predictions.

Strategies for enhancing adversarial training in machine learning with imbalanced datasets.

A new resource enhances studies in childhood cancer through single-cell analysis.

A look into the behavior of subgaussian vectors in Hilbert spaces.

New framework reduces need for labeled data in AI image tasks.

New framework optimizes model training through improved curricula discovery methods.

Learn about optimizing deep learning models and their practical applications.

Improving weather forecasts through innovative data assimilation techniques.

New dataset enhances video-text tasks for Indonesian speakers.

A new strategy enhances effectiveness of backdoor attacks through smarter sample selection.

New techniques emerge to combat satellite light pollution in astronomical observations.

A framework to enhance vehicle perception by bridging data gaps.

Innovative methods in programming models enhance coding tasks and efficiency.

New package improves neural network stability for safer applications.

Gravitational waves open fresh paths for studying cosmic events.

AspectCSE enhances how we measure text similarity using specific features.

A framework for classifying soccer actions efficiently using video analysis.

Counterfactual paths shed light on AI predictions in healthcare.

This article discusses the finite expression method for solving complex state transitions.

Exploring visualization techniques and data quality in machine learning.

SelSync balances fast training and model accuracy in distributed deep learning.

How pre-trained models impact performance on new data.

CIM technology enhances MCMC sampling speed and energy efficiency for complex data analysis.

Research aims to combine audio and symbolic data for music similarity analysis.

Generative AI transforms economic research through advanced data analysis and predictions.

Exploring the potential of multi-mask weight-tied models in machine learning.

A new dataset focusing on high-rise buildings and dense urban areas.

Discover the impact of MNISQ dataset on quantum machine learning research.

A new method enhances math problem-solving in smaller language models using diverse datasets.

A closer look at GBMDS and its advantages for complex data analysis.

A study assessing learning methods using limited labeled data in medical imaging.

Learn how MOPED improves model comparison through efficient data compression in astronomical research.

A new AI system predicts badminton shots more accurately for better training.

Fiora improves predictions of mass spectra in metabolomics, aiding compound identification.

Examining the role of weakly dependent random fields in various applications.

Study examines how hardware errors affect deep recommendation systems' performance and resilience.

gSAM enhances GNNs for better item recommendations and generalization.

New methods create varied datasets for better evaluation of Graph Neural Networks.