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Machine Learning and Knowledge Extraction
›
Top Articles
Machine Learning and Knowledge Extraction
Software Engineering
3.1
(top 5%)
Impact Factor
3.7
(top 5%)
extended IF
17
(top 19%)
H-Index
199
authors
167
papers
1.2K
citations
307
citing journals
808
citing authors
Most Cited Articles of Machine Learning and Knowledge Extraction
Title
Year
Citations
Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives
2018
177
A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks
2018
55
A CNN-BiLSTM Model for Document-Level Sentiment Analysis
2019
50
Causal Discovery with Attention-Based Convolutional Neural Networks
2019
38
Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer
2019
34
Recent Advances in Supervised Dimension Reduction: A Survey
2019
32
High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection
2019
26
Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error
2019
24
A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface
2019
24
Learning to Teach Reinforcement Learning Agents
2018
24
COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
2020
21
Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations
2020
20
Semi-Supervised Faster RCNN-Based Person Detection and Load Classification for Far Field Video Surveillance
2019
20
A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition
2018
19
Introduction to Survival Analysis in Practice
2019
18
More Buildings Make More Generalizable Models—Benchmarking Prediction Methods on Open Electrical Meter Data
2019
18
Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference
2019
17
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
2021
17
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
2021
17
Defining Data Science by a Data-Driven Quantification of the Community
2018
17
Gender Recognition by Voice using an Improved Self-Labeled Algorithm
2019
16
Differentially Private Image Classification Using Support Vector Machine and Differential Privacy
2019
15
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps
2019
13
The Number of Topics Optimization: Clustering Approach
2019
13
Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain
2021
13
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How are inpact factors calculated?
The impact factor (IF) is calculated by counting citations from peer-reviewed journals only.
extended IF
also counts citations from books and conference papers. However, no patent, abstract, working papers, online documents, etc., are covered.
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