7 citations · 9 across the 6 of their papers we have counts for
5 papers · 1 filter
Data Analytics for Smart cities: Challenges and Promises
Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini +1
The explosion of advancements in artificial intelligence, sensor technologies, and wireless communication activates ubiquitous sensing through distributed sensors. These sensors ar…
HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization
Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini
Machine learning techniques lend themselves as promising decision-making and analytic tools in a wide range of applications. Different ML algorithms have various hyper-parameters.…
Search Algorithms for Automated Hyper-Parameter Tuning
Leila Zahedi, Farid Ghareh Mohammadi, Shabnam Rezapour +2
Machine learning is a powerful method for modeling in different fields such as education. Its capability to accurately predict students' success makes it an ideal tool for decision…
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
In [1, 2], we have explored the theoretical aspects of feature extraction optimization processes for solving largescale problems and overcoming machine learning limitations. Majori…
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics
Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
In [1], we have explored the theoretical aspects of feature selection and evolutionary algorithms. In this chapter, we focus on optimization algorithms for enhancing data analytic…