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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 5401–5450 of 10033 papers

TitleStatusHype
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach—0
Automatic Identification of Types of Alterations in Historical Manuscripts—0
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods—0
Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time—0
Intelligent multiscale simulation based on process-guided composite database—0
Machine Learning Enabled Discovery of Application Dependent Design Principles for Two-dimensional MaterialsCode0
Survey of Personalization Techniques for Federated Learning—0
The Cost of Privacy in Asynchronous Differentially-Private Machine Learning—0
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously—0
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios—0
Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning—0
SurvLIME: A method for explaining machine learning survival models—0
Machine Learning the Phenomenology of COVID-19 From Early Infection DynamicsCode0
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications—0
Interpretable Personalization via Policy Learning with Linear Decision Boundaries—0
Adversarial Transferability in Wearable Sensor Systems—0
A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic—0
Radiomic feature selection for lung cancer classifiers—0
Unsupervised machine learning of quantum phase transitions using diffusion maps—0
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment—0
Bypassing Detection of URL-based Phishing Attacks Using Generative Adversarial Deep Neural Networks—0
Time series and machine learning to forecast the water quality from satellite data—0
Reinforcement Learning for Electricity Network Operation—0
Hierarchical Models: Intrinsic Separability in High Dimensions—0
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine LearningCode0
Towards automated kernel selection in machine learning systems: A SYCL case study—0
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls—0
What happens to a ToF LiDAR in fog?—0
Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance IndexCode0
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study—0
Predicting Legal Proceedings Status: Approaches Based on Sequential Text DataCode0
Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection—0
A flexible framework for communication-efficient machine learning: from HPC to IoT—0
Post-Estimation Smoothing: A Simple Baseline for Learning with Side InformationCode0
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning—0
Time Series Forecasting Using LSTM Networks: A Symbolic ApproachCode0
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning—0
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems—0
Machine Learning on Volatile Instances—0
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning—0
A Computer-Aided Diagnosis System Using Artificial Intelligence for Hip Fractures -Multi-Institutional Joint Development Research-—0
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology—0
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey—0
Using machine learning to speed up new and upgrade detector studies: a calorimeter case—0
Topological Machine Learning for Mixed Numeric and Categorical DataCode0
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems—0
Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning—0
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case—0
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning ModelsCode0
A Compact Spectral Descriptor for Shape Deformations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified