SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8451–8500 of 10033 papers

TitleStatusHype
An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods—0
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks—0
An Empirical Study of Low Precision Quantization for TinyML—0
An Empirical Study of Software Exceptions in the Field using Search Logs—0
An Empirical Study of the Relationships between Code Readability and Software Complexity—0
An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding—0
An Empirical Study on Transfer Learning for Privilege Review—0
An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management—0
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification—0
An ensemble-based online learning algorithm for streaming data—0
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates—0
An Environment for Relational Annotation of Political Debates—0
An Epistemic Approach to the Formal Specification of Statistical Machine Learning—0
An Error Analysis Tool for Natural Language Processing and Applied Machine Learning—0
A neural network-based framework for financial model calibration—0
A Neural-Symbolic Approach to Design of CAPTCHA—0
A Neural Turing~Machine for Conditional Transition Graph Modeling—0
An Evaluation of Classification Methods for 3D Printing Time-Series Data—0
An Evaluation of the Human-Interpretability of Explanation—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
A new approach in machine learning—0
Online Capacity Scaling Augmented With Unreliable Machine Learning Predictions—0
A new boosting algorithm based on dual averaging scheme—0
A New Framework for Distributed Submodular Maximization—0
A New Framework for Machine Intelligence: Concepts and Prototype—0
A New Mathematical Model for Controlled Pandemics Like COVID-19 : AI Implemented Predictions—0
A new method for binary classification of proteins with Machine Learning—0
A New Perspective on Machine Learning: How to do Perfect Supervised Learning—0
A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study—0
A new robust feature selection method using variance-based sensitivity analysis—0
A News-based Machine Learning Model for Adaptive Asset Pricing—0
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools—0
A New Security Boundary of Component Differentially Challenged XOR PUFs Against Machine Learning Modeling Attacks—0
A New Type of Neurons for Machine Learning—0
An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network—0
An Exercise Fatigue Detection Model Based on Machine Learning Methods—0
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks—0
An Experimental Analysis of Work-Life Balance Among The Employees using Machine Learning Classifiers—0
An Experimental Study of Class Imbalance in Federated Learning—0
An Experimentation Platform for Explainable Coalition Situational Understanding—0
An experiment on the mechanisms of racial bias in ML-based credit scoring in Brazil—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection—0
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery—0
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering—0
An Exploration of How Training Set Composition Bias in Machine Learning Affects Identifying Rare Objects—0
An Exploration of Multicalibration Uniform Convergence Bounds—0
An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing—0
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)—0
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction—0
Show:102550
← PrevPage 170 of 201Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified