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On hyperparameter optimization of machine learning algorithms: Theory and practice
Abstract Machine learning algorithms have been used widely in various applications and
areas. To fit a machine learning model into different problems, its hyper-parameters must be …
areas. To fit a machine learning model into different problems, its hyper-parameters must be …
Classification technique and its combination with clustering and association rule mining in educational data mining—A survey
Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …
EDM is used to classify, analyze, and predict the students' academic performance, and …
MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …
involve many electronic control units connected through intravehicle networks (IVNs) to …
Multi-stage optimized machine learning framework for network intrusion detection
Cyber-security garnered significant attention due to the increased dependency of individuals
and organizations on the Internet and their concern about the security and privacy of their …
and organizations on the Internet and their concern about the security and privacy of their …
Machine learning towards intelligent systems: applications, challenges, and opportunities
The emergence and continued reliance on the Internet and related technologies has
resulted in the generation of large amounts of data that can be made available for analyses …
resulted in the generation of large amounts of data that can be made available for analyses …
Predicting student academic performance at higher education using data mining: a systematic review
Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …
huge amount of educational data that can be used to discover new insights that have a …
Detecting botnet attacks in IoT environments: An optimized machine learning approach
The increased reliance on the Internet and the corresponding surge in connectivity demand
has led to a significant growth in Internet-of-Things (IoT) devices. The continued deployment …
has led to a significant growth in Internet-of-Things (IoT) devices. The continued deployment …
[PDF][PDF] Artificial Neural Network Hyperparameters Optimization: A Survey.
Machine-learning (ML) methods often utilized in applications like computer vision,
recommendation systems, natural language processing (NLP), as well as user behavior …
recommendation systems, natural language processing (NLP), as well as user behavior …
Imbalanced classification methods for student grade prediction: A systematic literature review
Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …
One way to measure student success is by predicting students' performance based on their …
An explainable model for identifying at-risk student at higher education
Nowadays, researchers from various fields have shown great interest in improving the
quality of learning in educational institutes in order to improve student achievement and …
quality of learning in educational institutes in order to improve student achievement and …