| Ai meta-learners and extra-trees algorithm for the detection of phishing websites YA Alsariera, VE Adeyemo, AO Balogun, AK Alazzawi IEEE access 8, 142532-142542, 2020 | 140 | 2020 |
| Ensemble and Deep-Learning Methods for Two-Class and Multi-Attack Anomaly Intrusion Detection: An Empirical Study VE Adeyemo, A Azween, JJ NZ, S Mahadevan, AO Balogun International Journal of Advanced Computer Science and Applications (IJACSA …, 2019 | 88 | 2019 |
| Impact of feature selection methods on the predictive performance of software defect prediction models: an extensive empirical study AO Balogun, S Basri, S Mahamad, SJ Abdulkadir, MA Almomani, ... Symmetry 12 (7), 1147, 2020 | 53 | 2020 |
| Phishing website detection: forest by penalizing attributes algorithm and its enhanced variations YA Alsariera, AV Elijah, AO Balogun Arabian Journal for Science and Engineering 45 (12), 10459-10470, 2020 | 49 | 2020 |
| SMOTE-based homogeneous ensemble methods for software defect prediction AO Balogun, FB Lafenwa-Balogun, HA Mojeed, VE Adeyemo, ON Akande, ... Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020 | 40 | 2020 |
| Software defect prediction: analysis of class imbalance and performance stability AO Balogun, S Basri, JA Said, VE Adeyemo, AA Imam, AO Bajeh School of Engineering, Taylor’s University, 2019 | 36 | 2019 |
| Empirical analysis of rank aggregation-based multi-filter feature selection methods in software defect prediction AO Balogun, S Basri, S Mahamad, SJ Abdulkadir, LF Capretz, AA Imam, ... Electronics 10 (2), 179, 2021 | 35 | 2021 |
| Ensemble-based logistic model trees for website phishing detection VE Adeyemo, AO Balogun, HA Mojeed, NO Akande, KS Adewole Advances in Cyber Security: Second International Conference, ACeS 2020 …, 2021 | 33 | 2021 |
| Parameter tuning in KNN for software defect prediction: an empirical analysis MA Mabayoje, AO Balogun, HA Jibril, JO Atoyebi, HA Mojeed, ... Jurnal Teknologi dan Sistem Komputer 7 (4), 121-126, 2019 | 32 | 2019 |
| Improving the phishing website detection using empirical analysis of Function Tree and its variants AO Balogun, KS Adewole, MO Raheem, ON Akande, FE Usman-Hamza, ... Heliyon 7 (7), 2021 | 29 | 2021 |
| Performance analysis of selected clustering techniques for software defects prediction A Balogun, R Oladele, H Mojeed, B Amin-Balogun, VE Adeyemo, TO Aro Afr. J. Comput. ICT 12 (2), 30-42, 2019 | 25 | 2019 |
| An adaptive rank aggregation-based ensemble multi-filter feature selection method in software defect prediction AO Balogun, S Basri, LF Capretz, S Mahamad, AA Imam, MA Almomani, ... Entropy 23 (10), 1274, 2021 | 17 | 2021 |
| Intelligent tree-based ensemble approaches for phishing website detection YA Alsariera, AO Balogun, VE Adeyemo, OH Tarawneh, HA Mojeed J. Eng. Sci. Technol 17, 563-582, 2022 | 16 | 2022 |
| Software defect prediction using wrapper feature selection based on dynamic re-ranking strategy AO Balogun, S Basri, LF Capretz, S Mahamad, AA Imam, MA Almomani, ... Symmetry 13 (11), 2166, 2021 | 15 | 2021 |
| Impact of feature selection on classification via clustering techniques in software defect prediction FE Usman-Hamza, AF Atte, AO Balogun, HA Mojeed, AO Bajeh, ... Journal of Computer Science and Its Application 26 (1), 2019 | 14 | 2019 |
| A novel rank aggregation-based hybrid multifilter wrapper feature selection method in software defect prediction AO Balogun, S Basri, S Mahamad, LF Capretz, AA Imam, MA Almomani, ... Computational intelligence and neuroscience 2021, 2021 | 13 | 2021 |
| Data sampling-based feature selection framework for software defect prediction AO Balogun, FB Lafenwa-Balogun, HA Mojeed, FE Usman-Hamza, ... International Conference on Emerging Applications and Technologies for …, 2021 | 12 | 2021 |
| Rotation forest-based logistic model tree for website phishing detection AO Balogun, NO Akande, FE Usman-Hamza, VE Adeyemo, MA Mabayoje, ... Computational Science and Its Applications–ICCSA 2021: 21st International …, 2021 | 9 | 2021 |
| A Network Intrusion Detection System: Enhanced Classification via Clustering Model. PO Balogun, A. O., Balogun, A. M., Adeyemo, V. E. & Sadiku Computing, Information Systems, Development Informatics & Allied Research …, 2015 | 9* | 2015 |
| Lccspm: l-length closed contiguous sequential patterns mining algorithm to find frequent athlete movement patterns from gps VE Adeyemo, A Palczewska, B Jones 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 7 | 2021 |
