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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 5026–5050 of 10033 papers

TitleStatusHype
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments—0
Using Machine Learning to Select High-Quality Measurements—0
Using Machine Learning to Speed Up and Improve Calorimeter R&D—0
Using machine learning to speed up new and upgrade detector studies: a calorimeter case—0
Using massive health insurance claims data to predict very high-cost claimants: a machine learning approach—0
Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models—0
Using natural conversations to classify autism with limited data: Age matters—0
Using Natural Language Processing to Screen Patients with Active Heart Failure: An Exploration for Hospital-wide Surveillance—0
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis—0
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models—0
Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning—0
Using Partial Monotonicity in Submodular Maximization—0
Using Person Embedding to Enrich Features and Data Augmentation for Classification—0
Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks—0
Using satellite imagery to understand and promote sustainable development—0
Using scientific machine learning for experimental bifurcation analysis of dynamic systems—0
Using Snomed to recognize and index chemical and drug mentions.—0
Using Static and Dynamic Malware features to perform Malware Ascription—0
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer—0
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks—0
Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties—0
Using Visual Analytics to Interpret Predictive Machine Learning Models—0
Utilising Graph Machine Learning within Drug Discovery and Development—0
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry—0
Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified