674 citations · 1k across the 21 of their papers we have counts for
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Deep Face Image Retrieval: a Comparative Study with Dictionary Learning
Ahmad S. Tarawneh, Ahmad B. A. Hassanat, Ceyhun Celik +3
Facial image retrieval is a challenging task since faces have many similar features (areas), which makes it difficult for the retrieval systems to distinguish faces of different pe…
Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study
Ahmad S. Tarawneh, Ceyhun Celik, Ahmad B. Hassanat +1
Research on content-based image retrieval (CBIR) has been under development for decades, and numerous methods have been competing to extract the most discriminative features for im…
Greedy Algorithms for Approximating the Diameter of Machine Learning Datasets in Multidimensional Euclidean Space
Ahmad B. Hassanat
Finding the diameter of a dataset in multidimensional Euclidean space is a well-established problem, with well-known algorithms. However, most of the algorithms found in the litera…
Pilot Comparative Study of Different Deep Features for Palmprint Identification in Low-Quality Images
A. S. Tarawneh, D. Chetverikov, A. B. Hassanat
Deep Convolutional Neural Networks (CNNs) are widespread, efficient tools of visual recognition. In this paper, we present a comparative study of three popular pre-trained CNN mode…
Improving TSP Solutions Using GA with a New Hybrid Mutation Based on Knowledge and Randomness
Esra'a Alkafaween, Ahmad B. A. Hassanat
Genetic algorithm (GA) is an efficient tool for solving optimization problems by evolving solutions, as it mimics the Darwinian theory of natural evolution. The mutation operator i…
On Enhancing Genetic Algorithms Using New Crossovers
Ahmad B. A. Hassanat, Esra'a Alkafaween
This paper investigates the use of more than one crossover operator to enhance the performance of genetic algorithms. Novel crossover operators are proposed such as the Collision c…