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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 551–600 of 10033 papers

TitleStatusHype
Quantum-classical convolutional neural networks in radiological image classification—0
Zero-Touch Network on Industrial IoT: An End-to-End Machine Learning Approach—0
Mapping Research Trajectories—0
Meshless method stencil evaluation with machine learning—0
Trainable Compound Activation Functions for Machine Learning—0
On Machine Learning-Driven Surrogates for Sound Transmission Loss SimulationsCode0
Long-run User Value Optimization in Recommender Systems through Content Creation Modeling—0
On the Performance of Machine Learning Methods for Breakthrough Curve Prediction—0
Quantifying Unknown Quantum Entanglement via a Hybrid Quantum-Classical Machine Learning Framework—0
Satellite Image Time Series Analysis for Big Earth Observation DataCode2
Farmer's Assistant: A Machine Learning Based Application for Agricultural Solutions—0
Data Debugging with Shapley Importance over End-to-End Machine Learning PipelinesCode1
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning—0
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness—0
Comparative Study of Machine Learning Test Case Prioritization for Continuous Integration Testing—0
Quantum Semi-Supervised Kernel Learning—0
Towards Privacy-Preserving Neural Architecture Search—0
Accelerating Machine Learning via the Weber-Fechner Law—0
Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other way—0
Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph NetworksCode1
Machine Learning Algebraic Geometry for Physics—0
The Silent Problem -- Machine Learning Model Failure -- How to Diagnose and Fix Ailing Machine Learning Models—0
Dynamical simulation via quantum machine learning with provable generalization—0
The Risks of Machine Learning Systems—0
A two-level machine learning framework for predictive maintenance: comparison of learning formulations—0
Testing robustness of predictions of trained classifiers against naturally occurring perturbations—0
A Learned Index for Exact Similarity Search in Metric Spaces—0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
Assessing Machine Learning Algorithms for Near-Real Time Bus Ridership Prediction During Extreme Weather—0
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning—0
Backdooring Explainable Machine Learning—0
Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)—0
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnosticsCode0
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting—0
Sampling Strategies for Static Powergrid Models—0
Sintel: A Machine Learning Framework to Extract Insights from SignalsCode3
Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication—0
Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine LearningCode0
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review—0
On Parametric Optimal Execution and Machine Learning SurrogatesCode1
Table Enrichment System for Machine Learning—0
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey—0
Trinary Tools for Continuously Valued Binary Classifiers—0
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks—0
Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driverCode0
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake SystemCode1
Simulation of machine learning-based 6G systems in virtual worlds—0
Characterizing metastable states with the help of machine learningCode1
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts—0
An interpretable machine learning approach for ferroalloys consumptions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified