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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 1351–1375 of 10033 papers

TitleStatusHype
Trinary Tools for Continuously Valued Binary Classifiers—0
Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driverCode0
An interpretable machine learning approach for ferroalloys consumptions—0
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts—0
Simulation of machine learning-based 6G systems in virtual worlds—0
Sources of Irreproducibility in Machine Learning: A Review—0
Planting Undetectable Backdoors in Machine Learning Models—0
Interpretability of Machine Learning Methods Applied to Neuroimaging—0
Surface Similarity Parameter: A New Machine Learning Loss Metric for Oscillatory Spatio-Temporal DataCode0
A Machine Learning Approach to Automatic Classification of Eight Sleep Disorders—0
Using Machine Learning for Particle Identification in ALICE—0
Performance Assessment of different Machine Learning Algorithm for Life-Time Prediction of Solder Joints based on Synthetic Data—0
Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach—0
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability—0
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic—0
Joint Coreset Construction and Quantization for Distributed Machine Learning—0
Utilizing variational autoencoders in the Bayesian inverse problem of photoacoustic tomography—0
Prediction of motor insurance claims occurrence as an imbalanced machine learning problem—0
Machine Learning Security against Data Poisoning: Are We There Yet?Code0
Benchmarking Active Learning Strategies for Materials Optimization and Discovery—0
Malware Analysis with Symbolic Execution and Graph Kernel—0
Sentiment Analysis of Political Tweets for Israel using Machine Learning—0
Harnessing Interpretable Machine Learning for Holistic Inverse Design of OrigamiCode0
Machine learning predictions for local electronic properties of disordered correlated electron systems—0
Automated Learning of Interpretable Models with Quantified Uncertainty—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified