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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 3301–3350 of 10033 papers

TitleStatusHype
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages—0
On Ensemble LearningCode0
Entangled q-Convolutional Neural Nets—0
Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review—0
Machine Learning versus Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel—0
Training a First-Order Theorem Prover from Synthetic Data—0
Learning in Matrix Games can be Arbitrarily Complex—0
Efficient Encrypted Inference on Ensembles of Decision Trees—0
Autocalibration and Tweedie-dominance for Insurance Pricing with Machine LearningCode0
Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach—0
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing—0
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis—0
A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems—0
Causal Analysis of Agent Behavior for AI Safety—0
Quantifying identifiability to choose and audit ε in differentially private deep learningCode0
Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning—0
GenoML: Automated Machine Learning for Genomics—0
Generalization Bounds for Sparse Random Feature ExpansionsCode0
Land Cover Mapping in Limited Labels Scenario: A Survey—0
Malware Classification with Word Embedding Features—0
Predicting Driver Fatigue in Automated Driving with Explainability—0
Machine Learning using Stata/Python—0
Root cause prediction based on bug reports—0
A Multi-Modal Respiratory Disease Exacerbation Prediction Technique Based on a Spatio-Temporal Machine Learning Architecture—0
A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models—0
An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images—0
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine LearningCode0
Deep Learning strategies for ProtoDUNE raw data denoisingCode0
SURFBoard: Reproducible Performance Analysis for Distributed Machine Learning Workflows—0
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making—0
Standing on the Shoulders of Machine Learning: Can We Improve Hypothesis Testing?Code0
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoMLCode0
Medical Imaging and Machine Learning—0
Can Machine Learning Catch the COVID-19 Recession?—0
Understanding & Predicting User Lifetime with Machine Learning in an Anonymous Location-Based Social Network—0
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models—0
Machine learning on small size samples: A synthetic knowledge synthesis—0
Explainable AI in Credit Risk Management—0
A Machine Learning Approach for Predicting Human Preference for Graph Layouts—0
Optimal Linear Combination of Classifiers—0
FedPower: Privacy-Preserving Distributed Eigenspace Estimation—0
Accounting for Variance in Machine Learning Benchmarks—0
Identification of Significant Permissions for Efficient Android Malware Detection—0
An Introduction to Johnson-Lindenstrauss Transforms—0
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering—0
Neural Network Approach to Construction of Classical Integrable Systems—0
Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database—0
Confronting Machine Learning With Financial Research—0
Emotion recognition techniques with rule based and machine learning approaches—0
Citizen Participation and Machine Learning for a Better Democracy—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified