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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 5701–5750 of 10033 papers

TitleStatusHype
Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models—0
Unsupervised Few-shot Learning via Self-supervised Training—0
Understanding Deep Neural Network Predictions for Medical Imaging Applications—0
secml: A Python Library for Secure and Explainable Machine LearningCode0
An Artificial Intelligence approach to Shadow Rating—0
Learning for Safety-Critical Control with Control Barrier Functions—0
Practical Solutions for Machine Learning Safety in Autonomous Vehicles—0
Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces—0
Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments—0
A Survey on Distributed Machine Learning—0
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises—0
Measuring Compositional Generalization: A Comprehensive Method on Realistic DataCode0
Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment—0
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image SegmentationCode0
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones ClassificationCode1
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review—0
NFAD: Fixing anomaly detection using normalizing flowsCode0
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AICode0
Per-sample Prediction Intervals for Extreme Learning Machines—0
Understanding Human Judgments of Causality—0
VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets—0
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach—0
SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks—0
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation—0
Feature engineering workflow for activity recognition from synchronized inertial measurement unitsCode0
Neural networks and kernel ridge regression for excited states dynamics of CH_2NH_2^+: From single-state to multi-state representations and multi-property machine learning models—0
COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment—0
Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics—0
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model—0
Measuring Non-Expert Comprehension of Machine Learning Fairness MetricsCode0
Field Label Prediction for Autofill in Web Browsers—0
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systemsCode1
How Personal is Machine Learning Personalization?—0
Direction Concentration Learning: Enhancing Congruency in Machine LearningCode0
Causality matters in medical imaging—0
Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?Code0
Towards personalized diagnosis of Glioblastoma in Fluid-attenuated inversion recovery (FLAIR) by topological interpretable machine learning—0
Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts—0
Predicting intraday jumps in stock prices using liquidity measures and technical indicators—0
Automatic microscopic image analysis by moving window local Fourier Transform and Machine Learning—0
A Machine-learning based Probabilistic Perspective on Dynamic Security Assessment—0
Lung and Colon Cancer Histopathological Image Dataset (LC25000)Code0
Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights—0
On the Explanation of Machine Learning Predictions in Clinical Gait AnalysisCode0
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data ScienceCode0
Analysis of Software Engineering for Agile Machine Learning Projects—0
VLSI Mask Optimization: From Shallow To Deep Learning—0
Pseudo Random Number Generation: a Reinforcement Learning approachCode1
The Generalization Error of the Minimum-norm Solutions for Over-parameterized Neural Networks—0
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons—0
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