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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 5351–5375 of 10033 papers

TitleStatusHype
A Comparative Study of Machine Learning Models for Predicting the State of Reactive MixingCode0
Embedded-physics machine learning for coarse-graining and collective variable discovery without data—0
Design Optimisation of Power-Efficient Submarine Line through Machine Learning—0
Approximate Data Deletion from Machine Learning Models—0
On Hiding Neural Networks Inside Neural Networks—0
Predicting TUG score from gait characteristics with video analysis and machine learning—0
A machine-learning software-systems approach to capture social, regulatory, governance, and climate problems—0
Effective End-to-End Learning Framework for Economic Dispatch—0
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization—0
QEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature SpacesCode0
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)—0
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System—0
Massive MIMO Channel Measurements and Achievable Rates in a Residential Area—0
Human Activity Recognition using Multi-Head CNN followed by LSTMCode0
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading—0
Likelihood-free inference of experimental Neutrino Oscillations using Neural Spline Flows—0
Anonymizing Data for Privacy-Preserving Federated Learning—0
Efficient Learning of Model Weights via Changing Features During Training—0
Using Machine Learning to predict extreme events in the Hénon map—0
Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges—0
KaoKore: A Pre-modern Japanese Art Facial Expression DatasetCode1
MEUZZ: Smart Seed Scheduling for Hybrid FuzzingCode1
NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion—0
Pulsars Detection by Machine Learning with Very Few Features—0
Set2Graph: Learning Graphs From SetsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified