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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 4801–4850 of 10033 papers

TitleStatusHype
Physically interpretable machine learning algorithm on multidimensional non-linear fields—0
QEBA: Query-Efficient Boundary-Based Blackbox Attack—0
From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees—0
COVID-19 and Your Smartphone: BLE-based Smart Contact TracingCode0
Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents—0
Machine learning and excited-state molecular dynamics—0
Parallelizing Machine Learning as a Service for the End-User—0
Machine Learning for recognition of minerals from multispectral data—0
Overview: Computer vision and machine learning for microstructural characterization and analysis—0
A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings—0
copent: Estimating Copula Entropy and Transfer Entropy in RCode1
Generative Adversarial Networks for Bitcoin Data Augmentation—0
Investigating a Spectral Deception Loss Metric for Training Machine Learning-based Evasion Attacks—0
Machine Learning for Software Engineering: A Systematic Mapping—0
Data-Driven Continuum Dynamics via Transport-Teleport Duality—0
Data Separability for Neural Network Classifiers and the Development of a Separability IndexCode0
Kernel methods library for pattern analysis and machine learning in pythonCode1
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference MeasureCode1
Effects of Forward Error Correction on Communications Aware Evasion Attacks—0
A Novel Ramp Metering Approach Based on Machine Learning and Historical Data—0
Review of Mathematical frameworks for Fairness in Machine Learning—0
Comparing BERT against traditional machine learning text classification—0
Using Machine Learning to Forecast Future Earnings—0
Twitter discussions and emotions about COVID-19 pandemic: a machine learning approach—0
Survey: Machine Learning in Production Rendering—0
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning—0
The best way to select features?—0
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration DataCode1
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities—0
Bayesian Stress Testing of Models in a Classification HierarchyCode0
Incidental Supervision: Moving beyond Supervised Learning—0
mvlearn: Multiview Machine Learning in Python—0
Towards a Robust WiFi-based Fall Detection with Adversarial Data Augmentation—0
Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines—0
Fast and automated biomarker detection in breath samples with machine learning—0
Climbing down Charney's ladder: Machine Learning and the post-Dennard era of computational climate science—0
Towards Analogy-Based Explanations in Machine Learning—0
DeltaPy: A Framework for Tabular Data Augmentation in PythonCode1
A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing—0
Approaching Bio Cellular Classification for Malaria Infected Cells Using Machine Learning and then Deep Learning to compare & analyze K-Nearest Neighbours and Deep CNNs—0
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation—0
Comparative Study of Machine Learning Models and BERT on SQuADCode0
A machine learning based software pipeline to pick the variable ordering for algorithms with polynomial inputs—0
Head2Head: Video-based Neural Head SynthesisCode1
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-MakingCode0
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking—0
On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics—0
Machine Learning in the Internet of Things for Industry 4.0—0
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model FairnessCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified