| A machine learning method for classification of cervical cancer JJ Tanimu, M Hamada, M Hassan, H Kakudi, JO Abiodun Electronics 11 (3), 463, 2022 | 85 | 2022 |
| A neural networks approach for improving the accuracy of multi-criteria recommender systems M Hassan, M Hamada Applied Sciences 7 (9), 868, 2017 | 77 | 2017 |
| An interactive learning environment for information and communication theory M Hamada, M Hassan Eurasia Journal of Mathematics, Science and Technology Education 13 (1), 35-59, 2016 | 72 | 2016 |
| An LDA–SVM machine learning model for breast cancer classification OJ Egwom, M Hassan, JJ Tanimu, M Hamada, OM Ogar BioMedInformatics 2 (3), 345-358, 2022 | 57 | 2022 |
| An enhanced learning style index: implementation and integration into an intelligent and adaptive e-learning system M Hamada, M Hassan Eurasia Journal of Mathematics, Science and Technology Education 13 (8 …, 2017 | 49 | 2017 |
| Genetic algorithm approaches for improving prediction accuracy of multi-criteria recommender systems M Hassan, M Hamada International Journal of Computational Intelligence Systems 11 (1), 146-162, 2018 | 43 | 2018 |
| Artificial neural networks and particle swarm optimization algorithms for preference prediction in multi-criteria recommender systems M Hamada, M Hassan Informatics 5 (2), 25, 2018 | 42 | 2018 |
| Smart media-based context-aware recommender systems for learning: A conceptual framework M Hassan, M Hamada 2017 16th International Conference on Information Technology Based Higher …, 2017 | 27 | 2017 |
| Enhancing learning objects recommendation using multi-criteria recommender systems M Hassan, M Hamada 2016 ieee international conference on teaching, assessment, and learning for …, 2016 | 27 | 2016 |
| A contemporary machine learning method for accurate prediction of cervical cancer JJ Tanimu, M Hamada, M Hassan, SY Ilu SHS Web of Conferences 102, 04004, 2021 | 26 | 2021 |
| Recommending learning peers for collaborative learning through social network sites M Hassan, M Hamada 2016 7th International Conference on Intelligent Systems, Modelling and …, 2016 | 25 | 2016 |
| State-of-the-art survey on deep learning-based recommender systems for e-learning L Salau, M Hamada, R Prasad, M Hassan, A Mahendran, Y Watanobe Applied Sciences 12 (23), 11996, 2022 | 23 | 2022 |
| Research paper recommender system based on public contextual metadata K Haruna, MA Ismail, A Qazi, HA Kakudi, M Hassan, SA Muaz, H Chiroma Scientometrics 125, 101-114, 2020 | 23 | 2020 |
| Low-power deep learning model for plant disease detection for smart-hydroponics using knowledge distillation techniques A Musa, M Hassan, M Hamada, F Aliyu Journal of Low Power Electronics and Applications 12 (2), 24, 2022 | 21 | 2022 |
| Evaluation of Recursive Feature Elimination and LASSO Regularization-based optimized feature selection approaches for cervical cancer prediction M Hamada, JJ Tanimu, M Hassan, HA Kakudi, P Robert 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core …, 2021 | 21 | 2021 |
| Performance comparison of featured neural network trained with backpropagation and delta rule techniques for movie rating prediction in multi-criteria recommender systems M Hassan, M Hamada Informatica 40 (4), 2016 | 21 | 2016 |
| An intelligent plant dissease detection system for smart hydroponic using convolutional neural network A Musa, M Hamada, FM Aliyu, M Hassan 2021 IEEE 14th international symposium on embedded multicore/many-core …, 2021 | 20 | 2021 |
| A fuzzy-based approach for modelling preferences of users in multi-criteria recommender systems M Hamada, NB Odu, M Hassan 2018 IEEE 12th International Symposium on Embedded Multicore/Many-core …, 2018 | 20 | 2018 |
| Performance comparison of feed-forward neural networks trained with different learning algorithms for recommender systems M Hassan, M Hamada Computation 5 (3), 40, 2017 | 20 | 2017 |
| Evaluating the performance of a neural network-based multi-criteria recommender system M Hassan, M Hamada International Journal of Spatio-Temporal Data Science 1 (1), 54-69, 2019 | 19 | 2019 |
Mohamed HamadaProfessor of Computer Science, University of AizuEmail yang diverifikasi di u-aizu.ac.jp