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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 3201–3250 of 10033 papers

TitleStatusHype
A Bayesian neural network predicts the dissolution of compact planetary systemsCode1
Technology Readiness Levels for Machine Learning Systems—0
Impact of Interventional Policies Including Vaccine on Covid-19 Propagation and Socio-Economic Factors—0
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry—0
Distributed Double Machine Learning with a Serverless ArchitectureCode1
Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation—0
A novel shape matching descriptor for real-time hand gesture recognition—0
Machine Learning for Electronic Design Automation: A SurveyCode1
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks—0
Occupancy Detection in Room Using Sensor Data—0
Machine learning based automated identification of thunderstorms from anemometric records using shapelet transform—0
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning—0
Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels—0
Benchmarking Machine Learning: How Fast Can Your Algorithms Go?—0
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning—0
Machine learning classification of non-Markovian noise disturbing quantum dynamicsCode0
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective—0
Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks—0
Quantum Tensor Network in Machine Learning: An Application to Tiny Object ClassificationCode1
Designing Low-Correlation GPS Spreading Codes with a Natural Evolution Strategy Machine Learning Algorithm—0
Machine learning dismantling and early-warning signals of disintegration in complex systemsCode1
Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization—0
Analyzing the Stability of Non-coplanar Circumbinary Planets using Machine Learning—0
Distribution-Free, Risk-Controlling Prediction SetsCode2
Adversarial Machine Learning for 5G Communications Security—0
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation—0
Information-theoretic bounds on quantum advantage in machine learningCode0
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods—0
Dataset Definition Standard (DDS)—0
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart ContractsCode1
Architectural Patterns for the Design of Federated Learning Systems—0
User Response Prediction in Online Advertising—0
Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine LearningCode0
On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques—0
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)—0
Biosensors and Machine Learning for Enhanced Detection, Stratification, and Classification of Cells: A Review—0
Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity—0
Statistical learning for accurate and interpretable battery lifetime predictionCode1
Predicting Forest Fire Using Remote Sensing Data And Machine Learning—0
Adaptive Synthetic Characters for Military Training—0
State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils—0
Deep Joint Source Channel Coding for WirelessImage Transmission with OFDMCode1
A Symmetric Loss Perspective of Reliable Machine Learning—0
Single-preparation unsupervised quantum machine learning: concepts and applications—0
Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional DataCode0
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves—0
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead—0
Learning to solve the single machine scheduling problem with release times and sum of completion times—0
The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies—0
Fusion of Federated Learning and Industrial Internet of Things: A Survey—0
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Benchmark Results

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