674 citations · 1k across the 21 of their papers we have counts for
23 papers
EasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program
Ahmad B. A. Hassanat, Ghada A. Altarawneh
Machine-learning classification is now used across medicine, the social sciences, economics, education and engineering, very often by researchers who do not program. Two errors rec…
Synthetic minority data is redundant or invalid: a data-dependent validity theory and a de-biased test
Ahmad B. Hassanat, Ahmad S. Tarawneh, Ghada A. Altarawneh
For two decades, the standard remedy for class-imbalanced learning has been to fabricate synthetic minority examples, and the standard evidence of their validity has been a check t…
Image Contrast Enhancement using Fuzzy Technique with Parameter Determination using Metaheuristics
Mohimenul Kabir, Jaiaid Mobin, Ahmad Hassanat +1
In this work, we have presented a way to increase the contrast of an image. Our target is to find a transformation that will be image specific. We have used a fuzzy system as our t…
Stop Oversampling for Class Imbalance Learning: A Critical Review
Ahmad B. Hassanat, Ahmad S. Tarawneh, Ghada A. Altarawneh +1
For the last two decades, oversampling has been employed to overcome the challenge of learning from imbalanced datasets. Many approaches to solving this challenge have been offered…
Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic
Ahmad B. Hassanat, Ghada A. Altarawneh, Ahmad S. Tarawneh +2
The classic win-win has a key flaw in that it cannot offer the parties the right amounts of winning because each party believes they are winners. In reality, one party may win more…
Deep learning for identification and face, gender, expression recognition under constraints
Ahmad B. Hassanat, Abeer Albustanji, Ahmad S. Tarawneh +6
Biometric recognition based on the full face is an extensive research area. However, using only partially visible faces, such as in the case of veiled-persons, is a challenging tas…
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…
Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier -- A Review
V. B. Surya Prasath, Haneen Arafat Abu Alfeilat, Ahmad B. A. Hassanat +4
The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers, yet its performance competes with the most complex classifiers in the literature. The co…
Victory Sign Biometric for Terrorists Identification
Ahmad B. A. Hassanat, Mahmoud B. Alhasanat, Mohammad Ali Abbadi +3
Covering the face and all body parts, sometimes the only evidence to identify a person is their hand geometry, and not the whole hand- only two fingers (the index and the middle fi…
Enhancing Genetic Algorithms using Multi Mutations
Ahmad B. A. Hassanat, Esra'a Alkafaween, Nedal A. Al-Nawaiseh +3
Mutation is one of the most important stages of the genetic algorithm because of its impact on the exploration of global optima, and to overcome premature convergence. There are ma…
Rule-and Dictionary-based Solution for Variations in Written Arabic Names in Social Networks, Big Data, Accounting Systems and Large Databases
Ahmad B. A. Hassanat, Ghada Awad Altarawneh
This paper investigates the problem that some Arabic names can be written in multiple ways. When someone searches for only one form of a name, neither exact nor approximate matchin…
On Enhancing The Performance Of Nearest Neighbour Classifiers Using Hassanat Distance Metric
Mouhammd Alkasassbeh, Ghada A. Altarawneh, Ahmad B. A. Hassanat
We showed in this work how the Hassanat distance metric enhances the performance of the nearest neighbour classifiers. The results demonstrate the superiority of this distance metr…
Visual Words for Automatic Lip-Reading
Ahmad Basheer Hassanat
Lip reading is used to understand or interpret speech without hearing it, a technique especially mastered by people with hearing difficulties. The ability to lip read enables a per…
Visual Speech Recognition
Ahmad B. A. Hassanat
Lip reading is used to understand or interpret speech without hearing it, a technique especially mastered by people with hearing difficulties. The ability to lip read enables a per…
Bypassing Captcha By Machine A Proof For Passing The Turing Test
Ahmad B. A. Hassanat
For the last ten years, CAPTCHAs have been widely used by websites to prevent their data being automatically updated by machines. By supposedly allowing only humans to do so, CAPTC…
Visual Passwords Using Automatic Lip Reading
Ahmad Basheer Hassanat
This paper presents a visual passwords system to increase security. The system depends mainly on recognizing the speaker using the visual speech signal alone. The proposed scheme w…
Dimensionality Invariant Similarity Measure
Ahmad Basheer Hassanat
This paper presents a new similarity measure to be used for general tasks including supervised learning, which is represented by the K-nearest neighbor classifier (KNN). The propos…
Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach
Ahmad Basheer Hassanat, Mohammad Ali Abbadi, Ghada Awad Altarawneh +1
This paper presents a new solution for choosing the K parameter in the k-nearest neighbor (KNN) algorithm, the solution depending on the idea of ensemble learning, in which a weak…