| A neural networks approach for improving the accuracy of multi-criteria recommender systems M Hassan, M Hamada Applied Sciences 7 (9), 868, 2017 | 70 | 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 | 63 | 2016 |
| A machine learning method for classification of cervical cancer JJ Tanimu, M Hamada, M Hassan, H Kakudi, JO Abiodun Electronics 11 (3), 463, 2022 | 44 | 2022 |
| 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 | 36 | 2018 |
| 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 | 36 | 2018 |
| Effect of varied inclusion levels of Gmelia (Gmelina arborea) leaf meal on intake, digestibility and nitrogen in Red Sokoto bucks fed on sorghum glum based … SB Abdu, MR Hassan, GE Jokthan, HY Adamu, SM Yashim, K Yusuf | 35 | 2012 |
| 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 | 29 | 2022 |
| Benefits of donkeys in rural and urban areas in northwest Nigeria MR Hassan, FA Steenstra, HMJ Udo African Journal of Agricultural Research 8 (48), 6202-6212, 2013 | 29 | 2013 |
| 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 |
| Recommending learning peers for collaborative learning through social network sites M Hassan, M Hamada 2016 7th International Conference on Intelligent Systems, Modelling and …, 2016 | 26 | 2016 |
| Evaluation of maize accessions for nutrients composition, forage and silage yields JT Amodu, TT Akpensuen, DD Dung, RJ Tanko, A Musa, SA Abubakar, ... Journal of Agricultural Science 6 (4), 178, 2014 | 26 | 2014 |
| Forage yield and quality of Lablab (Lablab purpureus L. Sweet) intercropped with maize (Zea mays L.) with flooded irrigation system in the semi-arid zone of Nigeria MR Hassan, JT Amodu, IR Muhammad, GE Jokthan, SB Abdu, ... Journal of Agricultural Science 6 (11), 196, 2014 | 24 | 2014 |
| Enhancing learning objects recommendation using multi-criteria recommender systems M Hassan, M Hamada 2016 ieee international conference on teaching, assessment, and learning for …, 2016 | 23 | 2016 |
| Effect of varying levels of Zizyphus (Zizyphus mauritiana) leaf meal inclusion in concentrate diet on performance of growing Yankasa ram lambs fed maize stover basal diet SB Abdu, OW Ehoche, AM Adamu, GS Bawa, MR Hassan, SM Yashim, ... IRANIAN JOURNAL OF APPLIED ANIMAL SCIENCE 2 (4), 323-330, 2012 | 23 | 2012 |
| The delineation of the aquifer overlying the basement complex in western part of the Kubanni Basin of Zaria (Nigeria) CO Ajayi, M Hassan Journal of Mining and Geology 26 (1), 117-124, 1990 | 23 | 1990 |
| 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 |
| Effects of strain, age and the interrelationships between external and internal qualities of eggs in two strains of layer chickens in northern Guinea savannah zone of Nigeria M Kabir, RO Sulaiman, RK Idris, SB Abdu, OM Daudu, SM Yashim, ... IRANIAN JOURNAL OF APPLIED ANIMAL SCIENCE 4 (1), 179-184, 2014 | 20 | 2014 |
| 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 | 19 | 2020 |
| Performance comparison of feed-forward neural networks trained with different learning algorithms for recommender systems M Hassan, M Hamada Computation 5 (3), 40, 2017 | 18 | 2017 |
| 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 | 17 | 2021 |
Yunusa Muhammad IshiakuNational Animal Production Research Institute, Ahmadu Bello University, Shika, ZariaVerified email at abu.edu.ng
