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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1801–1825 of 10033 papers

TitleStatusHype
Toward Formal Data Set Verification for Building Effective Machine Learning Models—0
S&P 500 Stock Price Prediction Using Technical, Fundamental and Text DataCode1
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models—0
Data Aggregation for Reducing Training Data in Symbolic Regression—0
Machine Learning for Sensor Transducer Conversion Routines—0
Credit Card Fraud Detection using Machine Learning: A Study—0
A study on Machine Learning Approaches for Player Performance and Match Results Prediction—0
New Trends in Quantum Machine Learning—0
Apache Submarine: A Unified Machine Learning Platform Made SimpleCode1
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics—0
Fast Sketching of Polynomial Kernels of Polynomial Degree—0
Rotation Equivariant Operators for Machine Learning on Scalar and Vector FieldsCode1
MOFit: A Framework to reduce Obesity using Machine learning and IoT—0
Comparing concepts of quantum and classical neural network models for image classification task—0
Temporal Graph Network Embedding with Causal Anonymous Walks RepresentationsCode0
An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applicationsCode1
Improving Human Sequential Decision-Making with Reinforcement Learning—0
Teaching Uncertainty Quantification in Machine Learning through Use Cases—0
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural NetworksCode1
Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning StudyCode1
Stack Index Prediction Using Time-Series Analysis—0
Data Pricing in Machine Learning Pipelines—0
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman ProblemCode1
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning—0
Aggregation Delayed Federated LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified