| Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications Neural Networks 78 (Special Issues 2016), 1-14, 2016 | 190 | 2016 |
| Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke N Kasabov, V Feigin, ZG Hou, Y Chen, L Liang, R Krishnamurthi, ... Neurocomputing 134, 269-279, 2014 | 161 | 2014 |
| NeuCube(ST) for spatio-temporal data predictive modelling with a case study on ecological data E Tu, N Kasabov, M Othman, Y Li, S Worner, J Yang, Z Jia 2014 international joint conference on neural networks (IJCNN), 638-645, 2014 | 43 | 2014 |
| M-DCocoa: M-agriculture expert system for diagnosing cocoa plant diseases MM Yusof, NF Rosli, M Othman, R Mohamed, MHA Abdullah Recent Advances on Soft Computing and Data Mining: Proceedings of the Third …, 2018 | 37 | 2018 |
| Design methodology and selected applications of evolving spatio-temporal data machines in the NeuCube neuromorphic framework N Kasabov, N Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ... Neural Networks 78 (2016)), 1-14, 2016 | 34 | 2016 |
| Designing prototype model of an online collaborative learning system for introductory computer programming course M Othman, M Othman, FM Hussain Procedia-Social and Behavioral Sciences 90, 293-302, 2013 | 34 | 2013 |
| Evolving spiking neural networks for personalised modelling of spatio-temporal data and early prediction of events: a case study on stroke N Kasabov, L Liang, R Krishnamurthi, V Feigin, M Othman, Z Hou, ... Neurocomputing 134, 269-279, 2014 | 23 | 2014 |
| Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data M Othman, N Kasabov, E Tu, V Feigin, R Krishnamurthi, Z Hou, Y Chen, ... 2014 international joint conference on neural networks (IJCNN), 3197-3204, 2014 | 22 | 2014 |
| The proposed model of collaborative virtual learning environment for introductory programming course M Othman, M Othman Turkish online journal of Distance Education 13 (1), 100-111, 2012 | 19 | 2012 |
| A review on data clustering using spiking neural network (SNN) models SA Mohamed, M Othman, MH Afifi Indonesian Journal of Electrical Engineering and Computer Science 15 (3 …, 2019 | 17 | 2019 |
| Survey of offline Arabic handwriting word recognition HQ Ghadhban, M Othman, NA Samsudin, MNB Ismail, MR Hammoodi Recent Advances on Soft Computing and Data Mining: Proceedings of the Fourth …, 2020 | 16 | 2020 |
| Evolving spiking neural networks methods for classification problem: a case study in flood events risk assessment MHA Abdullah, M Othman, S Kasim, SA Mohamed Indonesian Journal of Electrical Engineering and Computer Science 16 (1 …, 2019 | 14 | 2019 |
| Segments interpolation extractor for finding the best fit line in Arabic offline handwriting recognition words HQ Ghadhban, M Othman, N Samsudin, S Kasim, A Mohamed, ... IEEE Access 9, 73482-73494, 2021 | 13 | 2021 |
| Predicting customer loyalty using machine learning for hotel industry IZP Hamdan, M Othman Journal of Soft Computing and Data Mining 3 (2), 31-42, 2022 | 12 | 2022 |
| Bat algorithm and k-means techniques for classification performance improvement R Mohamed, MM Yusof, N Wahid, N Murli, M Othman Indones J Electr Eng Comput Sci 15 (3), 1411-1418, 2019 | 9 | 2019 |
| Empowering self-management through m-health applications M Othman, NM Halil, MM Yusof, R Mohamed, MHA Abdullah MATEC Web of Conferences 150, 05018, 2018 | 9 | 2018 |
| A spiking neural networks model with fuzzy-weighted K-nearest neighbour classifier for real-world flood risk assessment MHA Abdullah, M Othman, S Kasim, SS Saharuddin, SA Mohamed International Conference on Soft Computing and Data Mining, 222-230, 2019 | 8 | 2019 |
| Customer Loyalty Prediction for Hotel Industry Using Machine Learning Approach IZP Hamdan, M Othman, YMM Hassim, S Marjudi, MM Yusof JOIV: International Journal on Informatics Visualization 7 (3), 695-703, 2023 | 6 | 2023 |
| Comparative analysis of text classification using naive bayes and support vector machine in detecting negative content in Indonesian twitter EK Andana, M Othman, R Ibrahim Comparative Analysis of Text Classification Using Naive Bayes and Support …, 2019 | 6 | 2019 |
| A framework to cluster temporal data using personalised modelling approach M Othman, SA Mohamed, MHA Abdullah, MM Yusof, R Mohamed Recent Advances on Soft Computing and Data Mining: Proceedings of the Third …, 2018 | 6 | 2018 |
Prof. Nikola Kasabov, LFIEEE, FRSNZ,...Knowledgeengineering.ai, Auckland University of Technology; IICT Bulgarian Academy of SciencesGeverifieerd e-mailadres voor aut.ac.nz