Latest Articles for Accuracy

Introducing a new defense mechanism against membership inference attacks in machine learning models.

Seq2Peak enhances predictions for peak-hour demand across various industries.

This article discusses enhancing decision tree explanations for fairer outcomes.

Study assesses accuracy of land cover maps for agricultural monitoring in Sub-Saharan Africa.

This study focuses on improving model performance in ensembles through dissimilarity in training.

SpaceNLI tests computer systems' ability to understand spatial reasoning in language.

A detailed look at methods for improving neural network efficiency.

New algorithm estimates Chamfer distance faster and more accurately for large datasets.

A new method improves predictions of how drugs interact with targets, saving time and resources.

An overview of the IMEX-RK method for solving stiff and non-stiff equations.

New techniques improve accuracy and efficiency in identifying cover songs.

FuXi enhances long-term weather predictions using machine learning techniques.

Research reveals the complex role of distractions in choices.

DBFed aims to reduce bias in AI while maintaining data privacy.

This paper discusses predictive multiplicity and proposes ensemble algorithms for fairer predictions.

A look into how wearable sensors and video can improve exercise tracking.

A new method improves the accuracy of identifying bird calls.

Regular inspection plans can prevent costly sewer pipe failures and health risks.

Proper initialization of weights and biases greatly impacts deep neural network training efficiency.

Exploring how public data can improve privacy-preserving machine learning models.

False alarms greatly affect analysts' performance in identifying real cyber threats.

This study explores how conflicting explanations can improve trust in AI systems.

AI shows promise in diagnosing neuro-ophthalmic conditions, aiding specialists.

New strategies enhance accuracy in medical image segmentation for better diagnoses.

New methods enhance training against adversarial attacks by focusing on example vulnerabilities.

Neural networks enhance speed and accuracy in galaxy spectral energy distribution predictions.

A study on using SVM algorithms for classifying dry beans.

A framework for classifying soccer actions efficiently using video analysis.

A new method uses video images for better bronchoscopy positioning.

A new method enhances model speed and accuracy in machine learning.

Examining the complexities of fairness in AI systems and their real-world impacts.

Research reveals new dataset improving VQA models' performance over time.

New methods improve on-device machine learning for better personalization and privacy.

This article examines methods to test language models for bias.

This article examines fairness issues in facial recognition technology.

A new approach improves deep learning model reliability by measuring uncertainty.

A method to refine language model outputs using existing predictions.

A new method reduces tokens in Vision Transformers, enhancing efficiency and accuracy.

Learn about new methods for efficient memory resetting in technology.

This new approach improves how brain connections are analyzed using diffusion MRI.