Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach A Hassanat, K Almohammadi, E Alkafaween, E Abunawas, A Hammouri, ... Information 10 (12), 390, 2019 | 564 | 2019 |
Effects of distance measure choice on k-nearest neighbor classifier performance: a review HA Abu Alfeilat, ABA Hassanat, O Lasassmeh, AS Tarawneh, ... Big data 7 (4), 221-248, 2019 | 522 | 2019 |
Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach AB Hassanat, MA Abbadi, GA Altarawneh, AA Alhasanat International Journal of Computer Science and Information Security 12 (8), 33-39, 2014 | 305 | 2014 |
Detecting Distributed Denial of Service Attacks Using Data Mining Techniques M Alkasassbeh, G Al-Naymat, ABA Hassanat, M Almseidin International Journal of Advanced Computer Science & Applications 7 (1), 436-445, 2016 | 269 | 2016 |
Distance and similarity measures effect on the performance of K-nearest neighbor classifier--a review VB Prasath, HAA Alfeilat, A Hassanat, O Lasassmeh, AS Tarawneh, ... arXiv preprint arXiv:1708.04321, 2017 | 180 | 2017 |
Stop oversampling for class imbalance learning: A review AS Tarawneh, AB Hassanat, GA Altarawneh, A Almuhaimeed IEEE Access 10, 47643-47660, 2022 | 76 | 2022 |
On enhancing genetic algorithms using new crossovers A Hassanat, E Alkafaween International Journal of Computer Applications in Technology 55 (3), 2017 | 73 | 2017 |
Smotefuna: Synthetic minority over-sampling technique based on furthest neighbour algorithm AS Tarawneh, ABA Hassanat, K Almohammadi, D Chetverikov, ... IEEE Access 8, 59069-59082, 2020 | 68 | 2020 |
An Improved Genetic Algorithm with a New Initialization Mechanism Based on Regression Techniques A Hassanat, S Prasath, M Abbadi, S Abu-Qdari, H Faris Information 9 (7), 167, 2018 | 64 | 2018 |
Dimensionality Invariant Similarity Measure AB Hassanat Journal of American Science 10 (8), 221-226, 2014 | 59 | 2014 |
Detailed investigation of deep features with sparse representation and dimensionality reduction in cbir: A comparative study AS Tarawneh, C Celik, AB Hassanat, D Chetverikov Intelligent Data Analysis 24 (1), 47-68, 2020 | 53 | 2020 |
Visual Speech Recognition A Hassanat Speech Technologies I 2, 2011 | 50 | 2011 |
Invoice classification using deep features and machine learning techniques AS Tarawneh, AB Hassanat, D Chetverikov, I Lendak, C Verma 2019 IEEE Jordan International Joint Conference on Electrical Engineering …, 2019 | 47 | 2019 |
Furthest-pair-based binary search tree for speeding big data classification using k-nearest neighbors ABA Hassanat Big Data 6 (3), 225-235, 2018 | 47 | 2018 |
Two-point-based binary search trees for accelerating big data classification using KNN ABA Hassanat PloS one 13 (11), e0207772, 2018 | 46 | 2018 |
Effects of distance measure choice on knn classifier performance-a review VS Prasatha, HAA Alfeilate, AB Hassanate, O Lasassmehe, ... arXiv preprint arXiv:1708.04321 56, 2017 | 45 | 2017 |
Deep face image retrieval: A comparative study with dictionary learning AS Tarawneh, AB Hassanat, C Celik, D Chetverikov, MS Rahman, ... 2019 10th International Conference on Information and Communication Systems …, 2019 | 43 | 2019 |
On Enhancing The Performance Of Nearest Neighbour Classifiers Using Hassanat Distance Metric M Alkasassbeh, GA Altarawneh, A Hassanat Canadian Journal of Pure and Applied Sciences, arXiv preprint arXiv:1501.00687, 2015 | 43 | 2015 |
Predicting compressive strength of cement-stabilized rammed earth based on SEM images using computer vision and deep learning P Narloch, A Hassanat, AS Tarawneh, H Anysz, J Kotowski, ... Applied Sciences 9 (23), 5131, 2019 | 42 | 2019 |
Norm-based binary search trees for speeding up knn big data classification ABA Hassanat Computers 7 (4), 54, 2018 | 42 | 2018 |