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Intelligent Systems and Networks; Lecture Notes in Networks and Systems ,
1
Detection of Fence Climbing Behavior in Surveillance Videos..:
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Communications in Computer and Information Science; Intelligent Systems and Data Science ,
3
FaceMask Detection Using Transfer Learning:
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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications; Communications in Computer and Information Science ,
5
Recommendations in E-Commerce Systems Based on Deep Matrix ..:
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Complex, Intelligent and Software Intensive Systems; Lecture Notes in Networks and Systems ,
6
Four Grade Levels-Based Models with Random Forest for Stude..:
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Soft Computing: Biomedical and Related Applications; Studies in Computational Intelligence ,
7
Feature Selection Based on Shapley Additive Explanations on..:
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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications; Communications in Computer and Information Science ,
8
Personalized Student Performance Prediction Using Multivari..:
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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications; Communications in Computer and Information Science ,
9
Forecasting and Analyzing the Risk of Dropping Out of High ..:
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Computational Collective Intelligence; Lecture Notes in Computer Science ,
10
Deep Matrix Factorization for Learning Resources Recommenda..:
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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications; Communications in Computer and Information Science ,
11
Course Recommendation with Deep Learning Approach:
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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications; Communications in Computer and Information Science ,
12
Forecasting Sensor Data Using Multivariate Time Series Deep..:
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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications; Communications in Computer and Information Science ,
14
Feature Selection Using Local Interpretable Model-Agnostic ..:
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