@article {Tamir202273,
	title = {Conception of an Automatic Decision Support Platform Based on Cross-Sorting Methods and the Fuzzy Logic for General Use},
	journal = {Lecture Notes in Networks and Systems},
	volume = {489 LNNS},
	year = {2022},
	note = {cited By 0},
	pages = {73-81},
	abstract = {Problems related to the classification of a set of data (methods, tools{\textellipsis}), by using the opinions of a committee members, challenge the need for an effective treatment based on the theoretical methods developed through the literature. Indeed, this study was conducted to answer the need identified during the realization of a prioritization study of a graphic modeling methods set in order to develop it into a computing platform. This platform is based on Multi-Criteria Decision Analysis and is destined for practical and general use. The developed platform uses fuzzy pairwise comparisons and cross-sorting methods. It consists of the calculation of two main results: the overall weight of each data to be classified and the consistency index. Regarding the use of fuzzy logic for calculating weights, we opt for the triangular function in the extension of the principle of least-squares logarithmic regression for taking into account the inaccuracy. Finally, the calculation of the normalized weight values can generate an irrational ordering of fuzzy number elements. In our previous work, we have tried to find the conditions on pairwise comparisons values to get rational outcomes, but the calculation was very heavy with the Matlab software. In addition, the modifications to make on the comparisons are multiple, not automatic and depend on the user{\textquoteright}s appreciation. The present work gives a classification solution of results in order to keep only input data (comparisons) that respect the rational order of the weights values. Then, an optimization algorithm is programmed to maximize the consistency indexes of this part of results, by allowing a limited margin of modification without greatly altering the initial data. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-031-07969-6_6},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135093234\&doi=10.1007\%2f978-3-031-07969-6_6\&partnerID=40\&md5=c4b7ba813043a527b2117d440b4bfe8e},
	author = {Tamir, M. and Chiheb, R. and Ouzayd, F. and Retmi, K.}
}
@article {ElHaddaoui2022529,
	title = {On the Sensitivity of LSTMs to Hyperparameters and Word Embeddings in the Context of Sentiment Analysis},
	journal = {Lecture Notes in Networks and Systems},
	volume = {489 LNNS},
	year = {2022},
	note = {cited By 0},
	pages = {529-542},
	abstract = {Recurrent neural networks are still providing excellent results in sentiment analysis tasks, variants such as LSTM and Bidirectional LSTM have become a reference for building fast and accurate predictive models. However, such performance is difficult to obtain due to the complexity of the models and the hyperparameters choice. LSTM based models can easily overfit to the studied domain, and tuning the hyperparameters to get the desired model is the keystone of the training process. In this work, we provide a study on the sensitivity of a selection of LSTM based models to various hyperparameters and we highlight important aspects to consider while using similar models in the context of sentiment analysis. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-031-07969-6_40},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135093996\&doi=10.1007\%2f978-3-031-07969-6_40\&partnerID=40\&md5=695a2003d02e28d6d72df06cca749381},
	author = {El Haddaoui, B. and Chiheb, R. and Faizi, R. and El Afia, A.}
}
@article {Rachih202243,
	title = {Simulation optimization of an inventory control model for a reverse logistics system},
	journal = {Decision Science Letters},
	volume = {11},
	number = {1},
	year = {2022},
	note = {cited By 3},
	pages = {43-54},
	abstract = {Nowadays, companies are recognizing their primordial roles and responsibilities towards the protection of the environment and save the natural resources. They are focusing on some contemporary activities such as Reverse Logistics which is economically and environmentally viable. However, the integration of such an initiative needs flows restructuring and supply chain management in order to increase sustainability and maximize profits. Under this background, this paper addresses an inventory control model for a reverse logistics system that deals with two separated types of demand, for new products and remanufactured products, with different selling prices. The model consists of a single shared machine between production and remanufacturing operations, while the machine is subject to random failures and repairs. Three stock points respectively for returns, new products and remanufactured products are investigated. Meanwhile, in this paper, a modeling of the problem with Discrete-Event simulation using Arena{\textregistered} was conducted. Regarding the purpose of finding, a near-optimal inventory control policy that minimizes the total cost, an optimization of the model based on Tabu Search and Genetic Algorithms was established. Computational examples and sensitivity analysis were performed in order to compare the results and the robustness of each proposed algorithm. Then the results of the two methods were compared with those of OptQuest{\textregistered} optimization tool. {\textcopyright} 2022 by the authors; doi:.},
	doi = {10.5267/j.dsl.2021.9.001},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122133768\&doi=10.5267\%2fj.dsl.2021.9.001\&partnerID=40\&md5=d46c9884d1a5aa28b8b6d404febf6820},
	author = {Rachih, H. and Mhada, F.Z. and Chiheb, R.}
}
@article {Moumen20211634,
	title = {Real-time Arabic scene text detection using fully convolutional neural networks},
	journal = {International Journal of Electrical and Computer Engineering},
	volume = {11},
	number = {2},
	year = {2021},
	note = {cited By 1},
	pages = {1634-1640},
	abstract = {The aim of this research is to propose a fully convolutional approach to address the problem of real-time scene text detection for Arabic language. Text detection is performed using a two-steps multi-scale approach. The first step uses light-weighted fully convolutional network: TextBlockDetector FCN, an adaptation of VGG-16 to eliminate non-textual elements, localize wide scale text and give text scale estimation. The second step determines narrow scale range of text using fully convolutional network for maximum performance. To evaluate the system, we confront the results of the framework to the results obtained with single VGG-16 fully deployed for text detection in one-shot; in addition to previous results in the state-of-the-art. For training and testing, we initiate a dataset of 575 images manually processed along with data augmentation to enrich training process. The system scores a precision of 0.651 vs 0.64 in the state-of-the-art and an FPS of 24.3 vs 31.7 for a VGG-16 fully deployed. {\textcopyright} 2021 Institute of Advanced Engineering and Science. All rights reserved.},
	doi = {10.11591/ijece.v11i2.pp1634-1640},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097836850\&doi=10.11591\%2fijece.v11i2.pp1634-1640\&partnerID=40\&md5=18f6883629a31b869bc0f2225a4cbf29},
	author = {Moumen, R. and Chiheb, R. and Faizi, R.}
}
@article {ElHaddaoui2021336,
	title = {Sentiment analysis: A review and framework foundations},
	journal = {International Journal of Data Analysis Techniques and Strategies},
	volume = {13},
	number = {4},
	year = {2021},
	note = {cited By 0},
	pages = {336-355},
	abstract = {The rise of social media as a platform for opinion expression and social interactions motivated the need for an automated data analysis technique for business value extraction with optimal investment considerations. In this respect, sentiment analysis (SA) becomes the de facto approach to investigate generated data and retrieve information such as sentiments and emotions, discussed topics, etc., via traditional machine learning and modern neural network-based algorithms. The current techniques achieve reasonable accuracy scores but their performance evolution is depending on the context of application, also most implementations are complex and non-reusable components. Our literature review shows a lack in research studies to unify existing systems under a common framework for SA tasks. This paper also highlights the rending movement of neural networks approaches and pinpoint recent research studies for SA sub tasks. A SA framework design proposition is presented based on key research projects and enhanced with other promising works. {\textcopyright} 2021 Inderscience Publishers. All rights reserved.},
	doi = {10.1504/IJDATS.2021.120112},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122875189\&doi=10.1504\%2fIJDATS.2021.120112\&partnerID=40\&md5=e3d2033b898f101c2ec5d087fdf6472e},
	author = {El Haddaoui, B. and Chiheb, R. and Faizi, R. and El Afia, A.}
}
@conference {Biallaten2020,
	title = {Truss Optimization using the Simulated Annealing Algorithm},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2020},
	note = {cited By 0},
	abstract = {This document presents the results of our work aiming to create a tool for generating trusses. The generated structures undergo an optimizing process to be in the best possible form. The automatic generation of the truss structure is done using an algorithm adapted to the type of an initial design domain. Then, the optimization process is launched to resize the generated structure by minimizing the compliance under constant volume constraint. The size optimization is a question of looking for the best distribution of the cross-sections checking the objective of optimization and guaranteeing the stability of the final solution. We chose to implement this optimization using the simulated annealing algorithm. So, we developed a hybrid method based on the simulated annealing algorithm and an algorithm of bars elimination. {\textcopyright} 2020 ACM.},
	keywords = {Automatic Generation, Constant volumes, Constrained optimization, Hybrid method, Information systems, Information use, Initial design, Simulated annealing, Simulated annealing algorithms, Size optimization, Truss optimization, Truss structure, Trusses},
	doi = {10.1145/3447568.3448534},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103615098\&doi=10.1145\%2f3447568.3448534\&partnerID=40\&md5=2edcc24e3adf365097bd676455eb98f9},
	author = {Biallaten, Z. and Chiheb, R. and El Afia, A.}
}
@conference {Khaldi2019532,
	title = {Forecasting of weekly patient visits to emergency department: Real case study},
	booktitle = {Procedia Computer Science},
	volume = {148},
	year = {2019},
	note = {cited By 0},
	pages = {532-541},
	doi = {10.1016/j.procs.2019.01.026},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062671151\&doi=10.1016\%2fj.procs.2019.01.026\&partnerID=40\&md5=2d1d746e66e3334ab894f34b3566ecf8},
	author = {Khaldi, R. and Afia, A.E. and Chiheb, R.}
}
@article {Biallaten20191327,
	title = {Hybrid method for automating generation of reticulated structures (lattice structures) in complex conception domains},
	journal = {International Journal of Electrical and Computer Engineering},
	volume = {9},
	number = {2},
	year = {2019},
	note = {cited By 0},
	pages = {1327-1334},
	doi = {10.11591/ijece.v9i2.pp.1327-1334},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059986939\&doi=10.11591\%2fijece.v9i2.pp.1327-1334\&partnerID=40\&md5=9e8baf15f27ff8bc5dd5843538b859cc},
	author = {Biallaten, Z. and Chiheb, R. and El Afia, A.}
}
@article {Rachih201945,
	title = {Meta-heuristics for reverse logistics: A literature review and perspectives},
	journal = {Computers and Industrial Engineering},
	volume = {127},
	year = {2019},
	note = {cited By 0},
	pages = {45-62},
	doi = {10.1016/j.cie.2018.11.058},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057829016\&doi=10.1016\%2fj.cie.2018.11.058\&partnerID=40\&md5=f54213def0a5cf5c548b7574f8063804},
	author = {Rachih, H. and Mhada, F.Z. and Chiheb, R.}
}
@article {Moumen2019369,
	title = {An NLP based text-to-speech synthesizer for Moroccan Arabic},
	journal = {Lecture Notes in Networks and Systems},
	volume = {49},
	year = {2019},
	note = {cited By 0},
	pages = {369-379},
	doi = {10.1007/978-3-319-97719-5_23},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063269452\&doi=10.1007\%2f978-3-319-97719-5_23\&partnerID=40\&md5=0696f7563e81ff83ad6826ed84e31cef},
	author = {Moumen, R. and Chiheb, R.}
}
@conference {Afia2019512,
	title = {A Self Controlled Simulated Annealing Algorithm using Hidden Markov Model State Classification},
	booktitle = {Procedia Computer Science},
	volume = {148},
	year = {2019},
	note = {cited By 0},
	pages = {512-521},
	doi = {10.1016/j.procs.2019.01.024},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062665945\&doi=10.1016\%2fj.procs.2019.01.024\&partnerID=40\&md5=7a6b9cd9dfff11052107df70b4b828f0},
	author = {Afia, A.E. and Lalaoui, M. and Chiheb, R.}
}
@conference {Moumen2018,
	title = {Arabic diacritization with gated recurrent unit},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	doi = {10.1145/3230905.3230931},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053484931\&doi=10.1145\%2f3230905.3230931\&partnerID=40\&md5=3a401539dc4a1f24a5a97d1b3fdc8e36},
	author = {Moumen, R. and Chiheb, R. and Afia, A.E. and Faizi, R.}
}
@article {Tamir2018475,
	title = {A decision support platform based on cross-sorting methods for the selection of modeling methods: Case of the hospital supply chain performance analysis},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {9},
	number = {10},
	year = {2018},
	pages = {475-484},
	doi = {10.14569/IJACSA.2018.091058},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057264376\&doi=10.14569\%2fIJACSA.2018.091058\&partnerID=40\&md5=86e7cd3123ccc3b5399a68fccad72235},
	author = {Tamir, M. and Chiheb, R. and Ouzayd, F.}
}
@article {Moumen2018360,
	title = {Evaluation of gated recurrent unit in Arabic diacritization},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {9},
	number = {11},
	year = {2018},
	pages = {360-364},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059029808\&partnerID=40\&md5=8ec6347667792a079047e6121cfd5999},
	author = {Moumen, R. and Chiheb, R. and Faizi, R. and El Afia, A.}
}
@conference {Khaldi2018,
	title = {Feedforward and recurrent neural networks for time series forecasting: Comparative study},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	doi = {10.1145/3230905.3230946},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053485247\&doi=10.1145\%2f3230905.3230946\&partnerID=40\&md5=6fb59f2f8ddf603c98e96d68b1a47ee4},
	author = {Khaldi, R. and Chiheb, R. and Afia, A.E.}
}
@conference {Khaldi2018,
	title = {Forecasting of bitcoin daily returns with eemd-elman based model},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	doi = {10.1145/3230905.3230948},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053484904\&doi=10.1145\%2f3230905.3230948\&partnerID=40\&md5=0f2e4191d42a3eaf7857e8a6821b5f27},
	author = {Khaldi, R. and Afia, A.E. and Chiheb, R. and Faizi, R.}
}
@article {Ouzayd2018433,
	title = {Monitoring vaccine cold chain model with coloured Petri net},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {9},
	number = {5},
	year = {2018},
	pages = {433-438},
	doi = {10.14569/IJACSA.2018.090556},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049502237\&doi=10.14569\%2fIJACSA.2018.090556\&partnerID=40\&md5=e1b01d6274c2d762e344e2b45167d60f},
	author = {Ouzayd, F. and Mansouri, H. and Tamir, M. and Chiheb, R. and Benhouma, Z.}
}
@conference {Zarra201888,
	title = {MOOCs{\textquoteright} recommendation based on forum latent dirichlet allocation},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	pages = {88-93},
	doi = {10.1145/3289100.3289115},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058674172\&doi=10.1145\%2f3289100.3289115\&partnerID=40\&md5=1de27cf008154c73414e9740b9f86e22},
	author = {Zarra, T. and Chiheb, R. and Faizi, R. and Afia, A.E.}
}
@conference {Moumen20181,
	title = {An NLP based text-to-speech synthesizer for Moroccan Arabic},
	booktitle = {Proceedings of 2017 International Conference of Cloud Computing Technologies and Applications, CloudTech 2017},
	volume = {2018-January},
	year = {2018},
	pages = {1-5},
	doi = {10.1109/CloudTech.2017.8284745},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046676982\&doi=10.1109\%2fCloudTech.2017.8284745\&partnerID=40\&md5=9ca745be5c63a00cda019ef8b0230a9d},
	author = {Moumen, R. and Chiheb, R. and Faizi, R. and Afia, A.E.}
}
@conference {Lalaoui20181,
	title = {A self-adaptive very fast simulated annealing based on Hidden Markov model},
	booktitle = {Proceedings of 2017 International Conference of Cloud Computing Technologies and Applications, CloudTech 2017},
	volume = {2018-January},
	year = {2018},
	pages = {1-8},
	doi = {10.1109/CloudTech.2017.8284698},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046690728\&doi=10.1109\%2fCloudTech.2017.8284698\&partnerID=40\&md5=019d60ddd6cdf20019791974755a6d33},
	author = {Lalaoui, M. and El Afia, A. and Chiheb, R.}
}
@article {Lalaoui2018291,
	title = {A self-tuned simulated annealing algorithm using hidden markov model},
	journal = {International Journal of Electrical and Computer Engineering},
	volume = {8},
	number = {1},
	year = {2018},
	note = {cited By 0},
	pages = {291-298},
	abstract = {Simulated Annealing algorithm (SA) is a well-known probabilistic heuristic. It mimics the annealing process in metallurgy to approximate the global minimum of an optimization problem. The SA has many parameters which need to be tuned manually when applied to a specific problem. The tuning may be difficult and time-consuming. This paper aims to overcome this difficulty by using a self-tuning approach based on a machine learning algorithm called Hidden Markov Model (HMM). The main idea is allowing the SA to adapt his own cooling law at each iteration, according to the search history. An experiment was performed on many benchmark functions to show the efficiency of this approach compared to the classical one. {\textcopyright} 2018 Institute of Advanced Engineering and Science.},
	doi = {10.11591/ijece.v8i1.pp291-298},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042923643\&doi=10.11591\%2fijece.v8i1.pp291-298\&partnerID=40\&md5=804e27501baca7ca4efeeaa3d1ff0ef1},
	author = {Lalaoui, M. and El Afia, A. and Chiheb, R.}
}
@article {Lalaoui2018291,
	title = {A self-tuned simulated annealing algorithm using hidden markov model},
	journal = {International Journal of Electrical and Computer Engineering},
	volume = {8},
	number = {1},
	year = {2018},
	pages = {291-298},
	doi = {10.11591/ijece.v8i1.pp291-298},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042923643\&doi=10.11591\%2fijece.v8i1.pp291-298\&partnerID=40\&md5=804e27501baca7ca4efeeaa3d1ff0ef1},
	author = {Lalaoui, M. and El Afia, A. and Chiheb, R.}
}
@article {Boudad20182479,
	title = {Sentiment analysis in Arabic: A review of the literature},
	journal = {Ain Shams Engineering Journal},
	volume = {9},
	number = {4},
	year = {2018},
	pages = {2479-2490},
	doi = {10.1016/j.asej.2017.04.007},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025446495\&doi=10.1016\%2fj.asej.2017.04.007\&partnerID=40\&md5=4c3f2d43d536d6eec5f42878492ea75c},
	author = {Boudad, N. and Faizi, R. and Oulad Haj Thami, R. and Chiheb, R.}
}
@conference {ElHaddaoui2018,
	title = {Toward a sentiment analysis framework for social media},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	doi = {10.1145/3230905.3230919},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053484908\&doi=10.1145\%2f3230905.3230919\&partnerID=40\&md5=c602c6dc79537942d4d5ac0b9e4a0197},
	author = {El Haddaoui, B. and Chiheb, R. and Faizi, R. and Afia, A.E.}
}
@conference {Khaldi2017,
	title = {Artificial neural network based approach for blood demand forecasting: Fez transfusion blood center case study},
	booktitle = {ACM International Conference Proceeding Series},
	volume = {Part F129474},
	year = {2017},
	note = {cited By 0},
	abstract = {Blood demand and supply management are considered one of the major components of a healthcare supply chain, since blood is a vital element in preserving patient{\textquoteright}s life. However, forecasting it faces several challenges including frequent shortages, and possible expiration caused by demand uncertainty of hospitals. This uncertainty is mainly due to high variability in the number of emergency cases. Thereupon, this investigation presents a real case study of forecasting monthly demand of three blood components, using Artificial Neural Networks (ANNs). The demand of the three blood components (red blood cells (RBC), plasma (CP) and platelets (PFC)) and other observations are obtained from a central transfusion blood center and a University Hospital. Experiments are carried out using three networks to forecast each blood component separately. Last, the presented model is compared with ARIMA to evaluate its performance in prediction. The results of this study depict that ANN models overcomes ARIMA models in demand forecasting. Thus high ANN models can be considered as a promising approach in forecasting monthly blood demand. {\textcopyright} 2017 Association for Computing Machinery.},
	doi = {10.1145/3090354.3090415},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028449243\&doi=10.1145\%2f3090354.3090415\&partnerID=40\&md5=7ab92ea6ba7c2f5837ee88fcb2a91ffc},
	author = {Khaldi, R. and El Afia, A. and Chiheb, R. and Faizi, R.}
}
@conference {Faizi2017997,
	title = {Extracting business value from big data},
	booktitle = {Proceedings of the 29th International Business Information Management Association Conference - Education Excellence and Innovation Management through Vision 2020: From Regional Development Sustainability to Global Economic Growth},
	year = {2017},
	note = {cited By 0},
	pages = {997-1002},
	abstract = {The exponential growth of structured and unstructured data in the last few years has resulted in the emergence of {\textquoteright}big data{\textquoteright} as one of the hottest technology trends. With data of all kinds being generated in record amounts every minute, big data has become a buzzword across various fields. The objective of this paper is, therefore, to explore the various ways through which businesses can derive value from both internal and external data. In this respect, it was found out that companies, both big and small - across all industries - can use big data to increase customers{\textquoteright} retention and to meet the need of every individual customer. This huge amount of data can also help a business identify the strengths and weaknesses of its competitors and, thus, stay ahead of them. Finally, big data can provide businesses with real-time insights that would enable them to spot or predict problems, and solve them before they happen. Given all these benefits, we strongly believe that the collection and processing of the massive amounts of data, generated by customers or smart devices, can help any enterprise make more powerful and accurate decisions and, thus, significantly improve business operations and organizational performance.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029742611\&partnerID=40\&md5=bfa9daca776ba7dea239abddfc70501a},
	author = {Faizi, R. and El Fkihi, S. and El Afia, A. and Chiheb, R.}
}
@conference {Lalaoui2017558,
	title = {Hidden Markov Model for a self-learning of Simulated Annealing cooling law},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2017},
	note = {cited By 0},
	pages = {558-563},
	abstract = {The Simulated Annealing (SA) is a stochastic local search algorithm. It is an adaptation of the Metropolis-Hastings Monte Carlo algorithm. SA mimics the annealing process in metallurgy to approximate the global optimum of an optimization problem and uses a temperature parameter to control the search. The efficiency of the simulated annealing algorithm involves the adaptation of the cooling schedule. In this paper, we integrate Hidden Markov Model (HMM) in SA to iteratively predict the best cooling law according to the search history. Experiments performed on many benchmark functions show that our proposed scheme outperforms other SA variants in term of quality of solutions. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/ICMCS.2016.7905557},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019141326\&doi=10.1109\%2fICMCS.2016.7905557\&partnerID=40\&md5=68063f3aef36190a9965517a3e628711},
	author = {Lalaoui, M. and El Afia, A. and Chiheb, R.}
}
@conference {Rachih2017,
	title = {Metaheuristics applied in remanufacturing and reverse logistics: A review},
	booktitle = {ACM International Conference Proceeding Series},
	volume = {Part F129474},
	year = {2017},
	note = {cited By 0},
	abstract = {Due to growing environmental concerns, a large number of companies and organizations in the world give importance to reverse logistics and remanufacturing. Remanufacturing which aims is to take care of used or damaged product in the purpose of returning it like new product, lead many researchers to study the integration of this reverse flow in the process of the forward supply chain. The resulting models are difficult and complex to solve and optimize, hence the need to integrate a strong and efficient method such as Metaheuristics to solve those complex optimization problems. The purpose of this study is to review the published literature on the issues of reverse logistics and remanufacturing, and classified these papers by the type of metaheuristic used. Also, it aims to outline some future opportunities for research based on research gap analysis. {\textcopyright} 2017 Association for Computing Machinery.},
	doi = {10.1145/3090354.3090462},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028474536\&doi=10.1145\%2f3090354.3090462\&partnerID=40\&md5=c4408470ba292c01841b6cf733c3b036},
	author = {Rachih, H. and Mhada, F.Z. and Chiheb, R.}
}
@conference {Moumen2017,
	title = {A novel text-to-speech synthesizer for processing sms in moroccan Arabic},
	booktitle = {Proceedings of International Conference on Computers and Industrial Engineering, CIE},
	year = {2017},
	note = {cited By 0},
	abstract = {This paper proposes a novel text-to-speech (TTS) system that converts text messages (SMS) into speech sequences. This system takes into consideration the characteristics of the Moroccan context, where several languages might be used in the same text message. Therefore, the languages that are analyzed in this work are English, French, Moroccan Arabic and Modern Standard Arabic (MSA). Processing French, English, or Modern Standard Arabic is common and has given satisfying results. However, Moroccan Arabic remains under-studied for many reasons, particularly the lack of data resources given that this Arabic dialect is primarily spoken and non-codified.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040947811\&partnerID=40\&md5=1ddd4fb5d94d0350d8211d7bc3fc7c61},
	author = {Moumen, R. and Chiheb, R. and Zarra, T. and Faizi, R. and El Afia, A.}
}
@conference {Khaldi2017,
	title = {Prediction of supplier performance: A novel DEA-ANFIS based approach},
	booktitle = {ACM International Conference Proceeding Series},
	volume = {Part F129474},
	year = {2017},
	note = {cited By 0},
	abstract = {The focus of this paper is on investigating the feasibility of using ANFIS combined with DEA for supplier{\textquoteright}s post-evaluation. The proposed framework aims at modeling performance measurement, and forecasting of a selected hospital{\textquoteright}s drug suppliers. Even though it is broadly employed as a benchmarking tool to evaluate DMUs efficiency, DEA can hardly be used to predict the performance of unseen DMUs. For this reason, ANFIS model has been integrated to DEA due to its nonlinear mapping, strong generalization capabilities and pattern prediction functionalities. DEA based BCC model is used to evaluate the efficiency scores of a set of suppliers, then ANFIS intervenes to learn DEA patterns and to forecast the performance of new suppliers. The results of this research highlight the prediction power of the proposed model in a new scope. They present it as an efficient benchmarking tool and a promising decision support system applied at the operational level. {\textcopyright} 2017 Association for Computing Machinery.},
	doi = {10.1145/3090354.3090416},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028459962\&doi=10.1145\%2f3090354.3090416\&partnerID=40\&md5=da01d9720d77f4831205623526bfc9d9},
	author = {Khaldi, R. and Chiheb, R. and El Afia, A. and Akaaboune, A. and Faizi, R.}
}
@article {Boudad2017,
	title = {Sentiment analysis in Arabic: A review of the literature},
	journal = {Ain Shams Engineering Journal},
	year = {2017},
	note = {cited By 0; Article in Press},
	abstract = {Within the last couple of years, Sentiment Analysis in Arabic has gained a considerable interest from the research community. In this respect, the objective of this paper is to provide a review of the major works that have dealt with this research area in this language. A thorough investigation of the available literature revealed that the works were mainly concentrated on dealing with specific Sentiment Analysis tasks. To this end, they used three different approaches, namely supervised, unsupervised and hybrid. The results that these studies achieved are interesting but divergent. This divergence is relatively due to the type of approach opted for, the task that is being analysed as well as to the specificities and intricacies of the Arabic variety understudy. {\textcopyright} 2017 Ain Shams University.},
	doi = {10.1016/j.asej.2017.04.007},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025446495\&doi=10.1016\%2fj.asej.2017.04.007\&partnerID=40\&md5=4c3f2d43d536d6eec5f42878492ea75c},
	author = {Boudad, N. and Faizi, R. and Oulad Haj Thami, R. and Chiheb, R.}
}
@article {Boudad2017233,
	title = {Sentiment classification of Arabic tweets: A supervised approach},
	journal = {Journal of Mobile Multimedia},
	volume = {13},
	number = {3-4},
	year = {2017},
	note = {cited By 0},
	pages = {233-243},
	abstract = {Social media platforms have proven to be a powerful source of opinion sharing. Thus, mining and analyzing these opinions has an important role in decision-making and product benchmarking. However, the manual processing of the huge amount of content that these web-based applications host is an arduous task. This has led to the emergence of a new field of research known as Sentiment Analysis. In this respect, our objective in this work is to investigate sentiment classification in Arabic tweets using machine learning. Three classifiers namely Na{\"I}ve Bayes, Support Vector Machine and K-Nearest Neighbor were evaluated on an in-house developed dataset using different features. A comparison of these classifiers has revealed that Support Vector Machine outperforms others classifiers and achieves a 78\% accuracy rate. {\textcopyright} Rinton Press.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040241035\&partnerID=40\&md5=76bc92b38d241173585a11bc74ae14d7},
	author = {Boudad, N. and Faizi, R. and Thami, R.O.H. and Chiheb, R.}
}
@conference {Mezouar2016,
	title = {Proposal of a modeling approach and a set of KPI to the drug supply chain within the hospital},
	booktitle = {Proceedings of the 3rd IEEE International Conference on Logistics Operations Management, GOL 2016},
	year = {2016},
	note = {cited By 0},
	abstract = {The hospital is a complex system where many actors are involved; The challenges that this environment is facing justify the focus on this research subject. The contribution of the paper includes a proposition of a four-level model, that describes the hospital drug supply chain, based on the combination of the Supply Chain Operation Reference (SCOR) and Business Process Modelling Notation (BPMN), and the identification of a set of key performance indicators (KPI) that assess how well the drugs management process within the hospital are effective and efficient and how to improve them. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/GOL.2016.7731691},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85002170892\&doi=10.1109\%2fGOL.2016.7731691\&partnerID=40\&md5=21c51e9ea093480cdc5817205e47fe61},
	author = {Mezouar, H. and Elafia, A. and Chiheb, R. and Ouzayd, F.}
}
@article {Faizi201532,
	title = {Students{\textquoteright} perceptions towards using Web 2.0 technologies in education},
	journal = {International Journal of Emerging Technologies in Learning},
	volume = {10},
	number = {6},
	year = {2015},
	note = {cited By 0},
	pages = {32-36},
	abstract = {The purpose of this paper is to evaluate the usefulness of Web 2.0 technologies in education. For this purpose, a survey was carried out to explore the students{\textquoteright} perceptions towards using these tools for learning purposes. Results of the research study revealed that all the respondents are greatly immersed in these social platforms and use them for many reasons. However, it was found out that almost half of the surveyed students (i.e. 47\%) devote more than 40\% of the time they spend on Web 2.0 technologies to enhance their learning in different subjects. Taking these findings into consideration, we can stipulate that Web 2.0 applications present many educational advantages for students, hence, contribute in providing opportunities for further learning. Consequently, these online tools provide schools and universities with more opportunities to go beyond traditional delivery formats and develop learnercentered personalized learning environments.},
	doi = {10.3991/ijet.v10i6.4858},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952788796\&doi=10.3991\%2fijet.v10i6.4858\&partnerID=40\&md5=c22befa5ff5f3e9fcbbfe17e466aeee9},
	author = {Faizi, R. and Chiheb, R. and El Afia, A.}
}
@conference {Romadi2014,
	title = {Detection and recognition of road signs in a video stream based on the shape of the panels},
	booktitle = {2014 9th International Conference on Intelligent Systems: Theories and Applications, SITA 2014},
	year = {2014},
	note = {cited By 0},
	abstract = {In this paper, we present a robust approach of automatic detection and recognition of road signs in national roads, starting from the images resulting from a video stream taken by a camera embarked on a vehicle. Our approach is composed of three main phases: the first phase is to extract video stream images containing a circle or a triangle. This extraction is performed respectively by Hough transformation and Ramer-Douglas-Peucker filter, the second phase consists of extraction areas of the calculated image, in the previous phase. In the third and last phase, we proceed to a matching of the extracted image areas with signs of reference by comparison of interest points extracted by the SURF method and the matching method FLANN. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/SITA.2014.6847285},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904598231\&doi=10.1109\%2fSITA.2014.6847285\&partnerID=40\&md5=62713d5791e141de32775236f194bb72},
	author = {Romadi, M. and Oulah Haj Thami, R. and Romadi, R. and Chiheb, R.}
}
@article {Faizi201464,
	title = {Social media: An optimal virtual environment for learning foreign languages},
	journal = {International Journal of Emerging Technologies in Learning},
	volume = {9},
	number = {5},
	year = {2014},
	note = {cited By 3},
	pages = {64-66},
	abstract = {The present paper aims at exploring the potential role that social media technologies play in learning foreign languages. For this purpose, a survey was carried out to examine students{\textquoteright} and language learners{\textquoteright} perceptions and attitudes about using these platforms. Results of the research study revealed that the great majority of the respondents actually use these web-based applications to enhance their language skills. Most importantly, they noted that social media contribute in improving their listening, reading, speaking and writing skills. Accordingly, we strongly recommend that instructors use these online tools in distant, blended, or face-to-face language learning settings.},
	doi = {10.3991/ijet.v9i5.3911},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907689668\&doi=10.3991\%2fijet.v9i5.3911\&partnerID=40\&md5=22bc806cdbaebe7f28f0b9664aa83c8f},
	author = {Faizi, R. and El Afia, A. and Chiheb, R.}
}
@conference {Romadi2013,
	title = {Detection and recognition of road signs},
	booktitle = {2013 3rd International Symposium ISKO-Maghreb},
	year = {2013},
	note = {cited By 0},
	abstract = {In this paper, w e present a n application for t h e detection and recognition of Moroccan road signs together with their positions in video sequences taken by a mobile scanning vehicle in rural areas. Our approach is based on processing t h e operations of pictures: morphology, segmentation, edge detection and object recognition. The application runs on an algorithm which consists of five main steps: input (pre-recording video stream), processing of video keyframes, edge detection, detection of geometric shapes known panels, recognizing the meaning and the position of the panel detected. {\textcopyright} 2013 IEEE.},
	doi = {10.1109/ISKO-Maghreb.2013.6728127},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894208510\&doi=10.1109\%2fISKO-Maghreb.2013.6728127\&partnerID=40\&md5=1c3a22fd74b253e4957628821128d02c},
	author = {Romadi, M. and Haj Thami, R.O. and Chiheb, R. and Romadi, R.}
}
@conference {Machach2011325,
	title = {Mining social network data for decision support purposes in a teaching context},
	booktitle = {Proceedings of the IADIS International Conference Information Systems 2011, IS 2011},
	year = {2011},
	note = {cited By 0},
	pages = {325-329},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944034507\&partnerID=40\&md5=93b2a6856fcbb2ea953d1baa0ab4f50e},
	author = {Machach, S. and Chiheb, R. and Kassou, I.}
}
@conference {Souali2011,
	title = {A new recommender system for e-learning environments},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2011},
	note = {cited By 4},
	doi = {10.1109/ICMCS.2011.5945630},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961232743\&doi=10.1109\%2fICMCS.2011.5945630\&partnerID=40\&md5=4d89bd30150afdd564b7caedffba4902},
	author = {Souali, K. and El Afia, A. and Faizi, R. and Chiheb, R.}
}
@article {Chiheb201169,
	title = {Using objective online testing tools to assess students{\textquoteright} learning: Potentials and limitations},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {24},
	number = {1},
	year = {2011},
	note = {cited By 1},
	pages = {69-72},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951845409\&partnerID=40\&md5=8dfb6d5a464b4a730925a6ff3009b592},
	author = {Chiheb, R. and Faizi, R. and El Afia, A.}
}
