Machine Learning
Machine learning (ML) focuses on developing algorithms that allow computers to learn from data without explicit programming, aiming to improve prediction accuracy, automate tasks, and extract insights. Current research emphasizes areas like fairness in federated learning, efficient model training and deployment (including techniques to reduce communication overhead), and enhancing model interpretability and robustness against adversarial attacks. ML's impact spans diverse fields, from healthcare (e.g., disease prediction) and industrial quality control to astrophysics (e.g., galaxy classification) and cybersecurity, demonstrating its broad applicability and significant potential for scientific advancement and practical problem-solving.
3418papers
Papers - Page 42
August 26, 2024
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August 23, 2024
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
A Web-Based Solution for Federated Learning with LLM-Based Automation
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach
Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach
August 22, 2024
From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks for Orthopedic Radiograph Classification
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features
Multiple testing for signal-agnostic searches of new physics with machine learning
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
Extraction of Research Objectives, Machine Learning Model Names, and Dataset Names from Academic Papers and Analysis of Their Interrelationships Using LLM and Network Analysis
MAC protocol classification in the ISM band using machine learning methods
August 21, 2024