[J1]. K Sellami, A
Ouni, MA Saied, S Bouktif, MW Mkaouer Improving microservices
extraction using evolutionary search Elsevier Information and
Software Technology
151, 106996, 2022, IF: 3.862, SJR 1.44, Q1 (top10% 2021)
[J2]. S Bouktif,
A
Ouni, S Lazarova-Molnar Towards a rigorous consideration of occupant
behaviours of residential households for effective electrical energy
savings: An overview Energies 15 (5), 1741 2022, IF: 3.004, SJR: 0.653,
(top 25%, Q1, 2021)
[J3]. S Bouktif, A
Cheniki, A Ouni Traffic signal control using hybrid action space deep
reinforcement learning Sensors 21 (7), 2302, 2021, IF 3.275, SJR: 0.83,
(top 25%, Q1)
[J4].
Marwa Daagi, Ali
Aouni, Mohamed Gammoudi, Salah Bouktif, and Mohamed Wiem Mkaouer,
“Multi-criteria Web Services Selection : Balancing the Quality of Design and
Quality of Service in ACM
Transactions on Internet
Technology (TOIT 2021), IF 3.135,
SJR:1.18, (top 25%, Q1)
[J5].
S Bouktif, A
Fiaz, A Ouni, MA Serhani Multi-Sequence LSTM-RNN Deep Learning and
Metaheuristics for Electric Load Forecasting MDPI Energies 13 (2),
391(2020), IF:2.707/SJR: 0.598 (top 25%, Q1)
[J6].
H El-Sayed, H
Alexander, MA Khan, P Kulkarni, S Bouktif
Machine
learning based trust management framework for vehicular networks Elsevier Vehicular Communications, 100256 (2020)
IF: 4.706,
SJR:1.298, (top 10%, Q1)
[J7].
H El-Sayed, HA
Ignatious, P Kulkarni, S Bouktif DyReT: A
Dynamic Rule Framing Engine Equipped with Trust Management for Vehicular
Networks IEEE Access 8, 72757-72767 (2020), IF: 4.098, SJR: 0.587,
(top 25%, Q1)
[J8].
S Bouktif, A
Fiaz, M Awad Augmented Textual Features-Based Stock Market Prediction IEEE Access 8, 40269-40282 (2020),
IF: 4.098, SJR: 0.587, (top 25%,
Q1)
[J9].
N Almarimi, A Ouni, S Bouktif, MW Mkaouer, RG Kula, MA Saied
Web service API recommendation for automated mashup creation using
multi-objective evolutionary search
Elsevier Applied
Soft Computing 85, 105830(2019), IF:4.873, SJR: 1.29, (top 10%, Q1)
[J10].
S Bouktif, A
Fiaz, A Ouni, MA Serhani Single and multi-sequence deep learning models for
short- and medium-term electric load forecasting MDPI Energies 12
(1), 149 (2019), IF:2.707, SJR: 0.635 (Q2)
[J11].
S Boukharata, A
Ouni, M Kessentini, S Bouktif, H Wang, Improving web service
interfaces modularity using multi-objective optimization Springer Nature
Automated Software Engineering
26 (2), 275-312 (2019), IF:2.2, SJR: 0.59, (Q2)
[J12].
A Ouni, H Wang,
M Kessentini, S Bouktif, K Inoue “A hybrid approach for improving the
design quality of web service interfaces” ACM Transactions on Internet
Technology (TOIT) 19 (1), 1-24 (2019), IF:2.382, SJR: 0.675, (top 25%, Q1).
[J13].
Salah Bouktif, Ali
Fiaz, Ali Ouni, and M. Adel Serhani (2018) Optimal Deep Learning LSTM Model
for Electric Load Forecasting using Feature Selection and Genetic Algorithm:
Comparison with Machine Learning Approaches, MDPI Energies
2018, 11(7), (IF 2.67, SJR: 0.612, Q1),
.[J15]
Ahmed,
F.; Capretz, L.F.; Bouktif, S. & Campbell, P. “Soft Skills and
Software Development: A reflection from Software Industry”, International
Journal of Information Processing and Management 14(3) 2015.vol14.
issue3.17 (SJR 0.111) Class B,
[J16].
Salah Bouktif,
Eileen Marie Hanna, Nazar Zaki and Eman Abu Khoussa “Ant
Colony Optimization Algorithm for Interpreting a Combination of Bayesian
Classifiers: Application to Heart Disease Prediction in the PLOS ONE 2014
(IF: 4.411, SJR 1.559, Class A*, Q1, top 10%).
[J17].
Bouktif, Salah,
Houari Sahraoui, and Faheem Ahmed. "Predicting stability of open-source
software systems using combination of Bayesian classifiers." ACM
Transactions on Management Information Systems (TMIS) 5.1 (2014) (SJR: 0.89, Q1)
[C1].
R Alexandre, A Ouni, MA Saied, S Bouktif, MW Mkaouer, On the
identification of third-party library usage patterns for android
applications, The International Conference on Evaluation and Assessment in
Software Engineering, Gothenburg, Sweden, June 13 - 15, 2022 (Scopus
indexed, Class A)
[C2].
S Bouktif,
A Cheniki, A Ouni, H El-Sayed Traffic signal control based on deep
reinforcement learning with simplified state and reward definitions 2021
International Conference on Artificial Intelligence and Big Data, China, May
2021 (Scopus indexed)
[C3].
Salah Bouktif,
Ali Fiaz, Ali Ouni, Badreyya Alnaqbi and Fatmah Alsereidi “Bayesian
Optimized XGBoost Model for Traffic Speed Prediction Incorporating Weather
Effects” Alsereidi 2020 International Conference on Intelligent Computing
in Data Sciences (ICDS) Fez, Morocco October 21-23 (Scopus indexed)
[C4].
H El-Kassabi, M. A Serhani, S Bouktif, A Benharref Multi-Model Deep
Learning for Cloud Resources Prediction to Support Proactive Workflow
Adaptation 2019 IEEE Cloud Summit, 78-85 IEEE Washington DC, USA (2019)
(Scopus indexed)
[C5].
S Bouktif,
A Fiaz, M Awad Stock Market Movement Prediction using Disparate Text
Features with Machine Learning 2019 International Conference on Intelligent
Computing in Data Sciences Oct 2019 Marrakech, Morocco (2019)
(Scopus indexed)
[C6].
Salah Bouktif
and Ali Fiaz, “Deep learning with LSTM networks for Medium to Long Range
Demand Forecasting” ECOS 2018 - 31st International Conference on
Efficiency, Cost, Optimization, Simulation and Environmental Impact of
Energy system, 17-22, June 2018, Guimaraes, Portugal, (31st
edition)
[C7].
Marwa Daagi,
Ali Ouni , Marouane Kessentini, Mohamed Mohsen Gammoudi, Salah Bouktif
“Web Service Interface Decomposition Using Formal Concept Analysis” 24th
IEEE International Conference on Web Services June, 2017, Hawaii,
USA
(Scopus Indexed, Class A)
[C8].
Ali Ouni, Marwa Daagi, Marouane Kessentini, Salah Bouktif, Mohamed
Mohsen Gammoudi “A Machine Learning-Based Approach to Detect Web Service
Design Defects” 24th IEEE International Conference on Web
Services June 2017, Hawaii, USA
(Scopus Indexed, Class A)
[C9]. Najah A. Abu Ali, Mervat Abu-Elkheir, and Salah Bouktif (2016) “Utilizing VIN for Improved Vehicular Sensing”, in the 2016 IEEE Wireless Communications and Networking Conference, 3-6 April 2016, Doha, Qatar (Scopus Indexed, Class B)