Optimal deep learning lstm model for electric load forecasting using feature selection and genetic algorithm: Comparison with machine learning approaches S Bouktif, A Fiaz, A Ouni, MA Serhani Energies 11 (7), 1636, 2018 | 948 | 2018 |
Multi-sequence LSTM-RNN deep learning and metaheuristics for electric load forecasting S Bouktif, A Fiaz, A Ouni, MA Serhani Energies 13 (2), 391, 2020 | 226 | 2020 |
Soft skills and software development: A reflection from the software industry F Ahmed, LF Capretz, S Bouktif, P Campbell arXiv preprint arXiv:1507.06873, 2015 | 195 | 2015 |
Automatic mutation test input data generation via ant colony K Ayari, S Bouktif, G Antoniol Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 152 | 2007 |
A novel approach to optimize clone refactoring activity S Bouktif, G Antoniol, E Merlo, M Neteler Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 99 | 2006 |
Augmented textual features-based stock market prediction S Bouktif, A Fiaz, M Awad IEEE Access 8, 40269-40282, 2020 | 97 | 2020 |
Soft skills requirements in software development jobs: A cross‐cultural empirical study F Ahmed, L Fernando Capretz, S Bouktif, P Campbell Journal of systems and information technology 14 (1), 58-81, 2012 | 86 | 2012 |
Single and multi-sequence deep learning models for short and medium term electric load forecasting S Bouktif, A Fiaz, A Ouni, MA Serhani Energies 12 (1), 149, 2019 | 83 | 2019 |
Web service API recommendation for automated mashup creation using multi-objective evolutionary search N Almarimi, A Ouni, S Bouktif, MW Mkaouer, RG Kula, MA Saied Applied Soft Computing 85, 105830, 2019 | 82 | 2019 |
Extracting change-patterns from cvs repositories S Bouktif, YG Guéhéneuc, G Antoniol 2006 13th Working Conference on Reverse Engineering, 221-230, 2006 | 72 | 2006 |
Security concerns in cloud computing IM Khalil, A Khreishah, S Bouktif, A Ahmad 2013 10th International Conference on Information Technology: New …, 2013 | 63 | 2013 |
Simulated annealing for improving software quality prediction S Bouktif, H Sahraoui, G Antoniol Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 63 | 2006 |
Machine learning based trust management framework for vehicular networks H El-Sayed, HA Ignatious, P Kulkarni, S Bouktif Vehicular Communications 25, 100256, 2020 | 47 | 2020 |
Deep reinforcement learning for traffic signal control with consistent state and reward design approach S Bouktif, A Cheniki, A Ouni, H El-Sayed Knowledge-Based Systems 267, 110440, 2023 | 46 | 2023 |
Traffic signal control using hybrid action space deep reinforcement learning S Bouktif, A Cheniki, A Ouni Sensors 21 (7), 2302, 2021 | 44 | 2021 |
Integrating function point project information for improving the accuracy of effort estimation F Ahmed, S Bouktif, A Serhani, I Khalil 2008 The Second International Conference on Advanced Engineering Computing …, 2008 | 38 | 2008 |
A feedback based quality assessment to support open source software evolution: the GRASS case study M Neteler, E Merlo, G Antoniol, S Bouktif 2006 22nd IEEE International Conference on Software Maintenance, 155-165, 2006 | 36 | 2006 |
Improving rule set based software quality prediction: A genetic algorithm-based approach S Bouktif, D Azar, D Precup, H Sahraoui, B Kegl Journal of Object Technology 3 (4), 227-241, 2004 | 35 | 2004 |
An image processing and genetic algorithm-based approach for the detection of melanoma in patients C Salem, D Azar, S Tokajian Methods of information in medicine 57 (01/02), 74-80, 2018 | 31 | 2018 |
Combining software quality predictive models: An evolutionary approach S Bouktif, B Kégl, H Sahraoui International Conference on Software Maintenance, 2002. Proceedings., 385-392, 2002 | 31 | 2002 |