24- Belinga A. G., Koumetio Tekouabou, S. C., El Haziti M., El Hassouni M. Knowledge Distillation in Image Classification: The Impact of Datasets. Computers. 2024; 13(8):184. https://doi.org/10.3390/computers13080184
23- Sallah, A., Tekouabou, S. C., & Agoujil, S. (2024). Machine learning for detecting fake accounts and genetic algorithm-based feature selection. Data & Policy, 6, e15. https://doi.org/10.1017/dap.2023.46
22- EL Mouna, L., Silkan, H., Hanyf, Y., & Farouk Nanne, M. (2024). A Combined Deep Cnn-Lstm Network For Sketch Recognition. International Journal of Computing and Digital Systems, 16(1), 633-644. http://dx.doi.org/10.12785/ijcds/160147
21- Ebnou Abdem, S. A., Chenal, J., Diop, E. B., Azmi, R., Adraoui, M., & Koumetio Tekouabou, S. C. (2023). Using Logistic Regression to Predict Access to Essential Services: Electricity and Internet in Nouakchott, Mauritania. Sustainability, 15(23), 16197. https://doi.org/10.3390/su152316197
20- Tekouabou, S. C., Gherghina, Ş. C., Kameni, E. D., Filali, Y., & Idrissi Gartoumi, K. (2024). AI-based on machine learning methods for urban real estate prediction: a systematic survey. Archives of Computational Methods in Engineering, 31(2), 1079-1095. https://doi.org/10.1007/s11831-023-10010-5
19- Kameni, E. D., & Koumetio Tekouabou, S. C. (2023). The role of inclusive educational technologies in transforming african cities into inclusive smart cities. In E3S Web of Conferences (Vol. 418, p. 03003). EDP Sciences. https://doi.org/10.1051/e3sconf/202341803003
18- Azmi, R., Chenal, J., Amar, H., Koumetio Tekouabou, S. C, & Diop, E. B. (2023). A hybrid approach for extracting large-scale and accurate built-up areas using SAR and multispectral data. Atmosphere, 14(2), 240. https://doi.org/10.3390/atmos14020240
17- Koumetio Tekouabou, S. C, Chenal, J., Azmi, R., Diop, E. B., Toulni, H., & de Padoue Nsegbe, A. (2022). Towards air quality particulate-matter monitoring using low-cost sensor data and visual exploration techniques: Case study of Kisumu, Kenya. Procedia Computer Science, 215, 963-972. https://doi.org/10.1016/j.procs.2022.12.099
16- Koumetio Tekouabou, S. C., Chenal, J., Azmi, R., Toulni H., Diop, E. B. & Nikiforova A. (2022). Identifying and Classifying Urban Data Sources for Machine Learning-Based Sustainable Urban Planning and Decision Support Systems Development . data, 7, no. 12: 170. https://doi.org/10.3390/data7120170
15- Koumetio Tekouabou, S. C., Diop, E. B., Azmi, R., & Chenal, J. (2022). Artificial Intelligence Based Methods for Smart and Sustainable Urban Planning: A Systematic Survey. Archives of Computational Methods in Engineering, 1-18. https://doi.org/10.1007/s11831-022-09844-2
14- Diop, E. B., Chenal, J., Tékouabou, S. C. K. & Azmi, R. (2022). Crowdsourcing Public Engagement for Urban Planning in the Global South: Methods, Challenges and Suggestions for Future Research. Sustainability, 14(18), 11461. https://doi.org/10.3390/su141811461
13- Tékouabou, S. C. K., Gherghina, Ș. C., Toulni, H., Mata, P. N., & Martins, J. M. (2022). Towards Explainable Machine Learning for Bank Churn Prediction Using Data Balancing and Ensemble-Based Methods. Mathematics, 10(14), 2379. https://doi.org/10.3390/math10142379
12- S. C. K. Tekouabou, Cherif, W., Toulni, H., E. A. A. Alaoui & Silkan, H. (2021). "Using Class Membership based Approach to Improve Predictive Classification in Customer Relationship Management Systems ". International Journal of Computing, 21(2). 242-250. https://doi.org/10.1016/j.eswa.2021.115975
11- Tékouabou, S. C. K., Gherghina, Ş. C., Toulni, H., Neves Mata, P., Mata, M. N., & Martins, J. M. (2022). "A Machine Learning Framework towards Bank Telemarketing Prediction." Journal of Risk and Financial Management, 15(6), 269. https://doi.org/10.3390/jrfm15060269
10- Azmi, R., Amar, H., Chenal, J., Diop, E. B., & Tekouabou Koumetio, C. S. (2022). "Decision analysis related to solar farm investments based on analysis hierarchical process and fuzzy AHP for sustainable energy production." International Journal of Energy Research. https://doi.org/10.1002/er.7943
9- E. A. A. Alaoui, S. C. K. Tekouabou, Maleh, Y., Toulni, H., Cherif, W., & Nayyar, A. (2022). "Towards intelligent routing for DTN protocols using machine learning techniques". Simulation Modelling Practice and Theory, 1102475. https://doi.org/10.1016/j.simpat.2021.102475
8- S. C. K. Tekouabou, E. A. A. Alaoui, Chabbar, I., Toulni, H., Cherif, W., & Silkan, H. (2021). "Optimizing the early glaucoma detection from visual fields by combining preprocessing techniques and ensemble classifier with selection strategies". Expert Systems with Applications, 115975. https://doi.org/10.1016/j.eswa.2021.115975
7- S. C. K. Tekouabou, Diop, E. B., Azmi, R., Jaligot, R., & Chenal, J. (2021). "Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems: potential, issues and challenges". Journal of King Saud University-Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.08.007
6- Rida, A. Z. M. I., KOUMETIO, C. S. T., DIOP, E. B., & Chenal, J. (2021). "Exploring the relationship between urban form and land surface temperature (LST) in a semi-arid region case study of Ben Guerir city-Morocco". Environmental Challenges, 5, 100229. https://doi.org/10.1016/j.envc.2021.100229
5- S. C. K. Tekouabou, E. A. A. Alaoui, Gallais A. (2021). "Efficient Forwarding Strategy in HDRP Protocol based Internet of Things." Computer Communications, 170, 164-176. https://doi.org/10.1016/j.comcom.2021.02.003
4-E. A. A. Alaoui, S. C. K. Tekouabou. "Intelligent Management of Bike Sharing in Smart Cities using Machine Learning and Internet of Things." Sustainable Cities and Society, 102702. https://doi.org/10.1016/j.scs.2020.102702
3-E. A. A. Alaoui, S. C. K. Tekouabou, S. Hartini, Z. Rustam, H. Silkan and S. Agoujil, "Improvement in automated diagnosis of soft tissues tumors using machine learning," in Big Data Mining and Analytics, vol. 4, no. 1, pp. 33-46, March 2021, https://doi.org/10.26599/BDMA.2020.9020023 .
2-Tekouabou, S. C. K., A.A.A. ElArbi, Cherif, W., & Silkan, H. (2020). Improving parking availability prediction in smart cities with IoT and ensemble-based model. Journal of King Saud University-Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2020.01.008
1-A.A.A. ElArbi, Tekouabou, S. C. K., Gallais, A., & Agoujil, S. (2020). DTN Routing Hierarchical Topology for the Internet of Things. Procedia Computer Science, 170, 490-497. https://doi.org/10.1016/j.procs.2020.03.107
Book & Chapters:
9- Abdellaoui Alaoui, E. A., Nassiri, K., Tekouabou, S. C. K., & Agoujil, S. (2022, November). Explainable prediction of intelligent DTN routing. In The international conference on artificial intelligence and smart environment (pp. 415-420). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-26254-8_59
8- Tekouabou, S. C. K., Chenal, J., Azmi, R., Diop, E. B., & Toulni, H. (2022, September). Urban Data: Sources and Targeted Applications for Urban Planning Indicators Modelling. In International Conference on Electronic Governance with Emerging Technologies (pp. 212-226). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-22950-3_16
7- Alaoui, E. A. A., Nassiri, K., & Tekouabou, S. C. K. (2023). Explainable Machine Learning Model for Performance Prediction MAC Layer in WSNs. In International Conference on Networking, Intelligent Systems and Security (pp. 232-241). Springer, Cham. https://doi.org/10.1007/978-3-031-15191-0_23
6-Tekouabou, S. C. K. & Toulni, H. (2021). "Improving KNN Model for Direct Marketing Prediction in Smart Cities". In Machine Intelligence and Data Analytics for Sustainable Future Smart Cities (pp. 107-118). Springer, Cham. https://doi.org/10.1007/978-3-030-72065-0_7
5-A.A.A. ElArbi, Tekouabou, S. C. K, (2020, October). "Parking Availability Prediction in Smart City". In The Proceedings of the Third International Conference on Smart City Applications (pp. 450-462). Springer, Cham. https://doi.org/10.1007/978-3-030-66840-2_34
4-A.A.A. ElArbi, Tekouabou, S. C. K, Ougamane, I., & Chabbar, I. (2020, October). "Towards Automatic Diagnosis of the COVID-19 Based on Machine Learning". In The Proceedings of the Third International Conference on Smart City Applications (pp. 1244-1255). Springer, Cham. https://doi.org/10.1007/978-3-030-66840-2_95
3-Bellahcen, M., A.A.A. ElArbi, Tekouabou, S. C. K. (2020, October). "Hand Pose Estimation Based on Deep Learning". In The Proceedings of the Third International Conference on Smart City Applications (pp. 835-843). Springer, Cham. https://doi.org/10.1007/978-3-030-66840-2_63
2-Tekouabou, S. C. K., A.A.A. ElArbi, Chabbar, I., Cherif, W., & Silkan, H. (2021). "Using Deep Features Extraction and Ensemble Classifiers to Detect Glaucoma from Fundus Images." In Emerging Trends in ICT for Sustainable Development (pp. 63-70). Springer, Cham. https://doi.org/10.1007/978-3-030-53440-0\_8
1-A.A.A. ElArbi, Tekouabou, S. C. K., Cherif, W., & Silkan, H. (2019, July). Prediction of Bus Waiting Time in Smart Cities Using Machine Learning Techniques and the Internet of Things. In International Conference on Advanced Intelligent Systems for Sustainable Development (pp. 352-362). Springer, Cham. https://doi.org/10.1007/978-3-030-36674-2_36
Peer-Reviewed Conference Articles:
5- Azmi, R., Chenal, J., Azmi, K., Diop, E., & Koumetio, C. S. T. (2022, May). Evaluation of factors affecting demand on the bike-sharing system: Case study on the city of Marrakech, Morocco. In 2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA) (pp. 1-7). IEEE. 10.1109/LOGISTIQUA55056.2022.9938063
4-Tekouabou, S. C. K., Alaoui, E. A. A., Chabbar, I., Cherif, W., & Silkan, H. (2020, March). Machine Learning Approach for Early Detection of Glaucoma from Visual Fields. In Proceedings of the 3rd International Conference on Networking, Information Systems & Security (pp. 1-5). https://doi.org/10.1145/3386723.3387858
3- Alaoui, E. A. A., Tekouabou, S. C. K., GALLAIS, A., & Agoujil, S. (2019, December). Towards a DTN protocol for the Internet of Things. In 2019 Global Information Infrastructure and Networking Symposium (GIIS) (pp. 1-6). IEEE. DOI: 10.1109/GIIS48668.2019.9044962
2-Tekouabou, S. C. K., Cherif, W., & Silkan, H. (2019, March). A data modeling approach for classification problems: application to bank telemarketing prediction. In Proceedings of the 2nd International Conference on Networking, Information Systems & Security (pp. 1-7). https://doi.org/10.1145/3320326.3320389
1-Tekouabou, S. C. K., Cherif, W., & Hassan, S. (2018, October). Optimizing the prediction of telemarketing target calls by a classification technique. In 2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM) (pp. 1-6). IEEE. DOI: 10.1109/WINCOM.2018.8629675