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Salma Mouline
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2020 – today
- 2024
- [c23]Noussaiba Daali, Souad Amghar, Salma Mouline, Safae Cherdal:
The MDE for automating schema transformations of NoSQL databases. ISIVC 2024: 1-6 - 2022
- [j17]Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline:
A novel deep learning-based recommender system for Arabic content. J. Intell. Fuzzy Syst. 43(1): 437-449 (2022) - 2021
- [j16]Bethaina Touijer, Yann Ben Maissa, Salma Mouline:
IEEE 802.15.6 CSMA/CA access method for WBANs: Performance evaluation and new backoff counter selection procedure. Comput. Networks 188: 107759 (2021) - [j15]Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline:
Evaluation of recent advances in recommender systems on Arabic content. J. Big Data 8(1): 1-19 (2021) - 2020
- [j14]Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline:
Recommender Systems Based on Collaborative Filtering Using Review Texts - A Survey. Inf. 11(6): 317 (2020) - [j13]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics. Inf. Process. Manag. 57(1) (2020) - [i2]Souad Amghar, Safae Cherdal, Salma Mouline:
Storing, preprocessing and analyzing Tweets: Finding the suitable NoSQL system. CoRR abs/2005.01393 (2020)
2010 – 2019
- 2019
- [j12]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A distributed group recommendation system based on extreme gradient boosting and big data technologies. Appl. Intell. 49(12): 4128-4149 (2019) - [j11]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding. Expert Syst. Appl. 118: 209-216 (2019) - [j10]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems. Expert Syst. Appl. 137: 253-265 (2019) - [j9]Btissam Zerhari, Ayoub Ait Lahcen, Salma Mouline:
MIPCNF: Multi-iterative partitioning class noise filter. J. Intell. Fuzzy Syst. 37(5): 6761-6772 (2019) - [c22]Souad Amghar, Safae Cherdal, Salma Mouline:
Data Integration and NoSQL Systems: A State of the Art. BDIoT 2019: 16:1-16:6 - [c21]Achraf Lyazidi, Salma Mouline:
BuiS: A Methodology for Smart Building Modeling. Intelligent Environments (Workshops) 2019: 56-65 - [c20]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A Distributed Ensemble of Deep Convolutional Neural Networks with Random Forest for Big Data Sentiment Analysis. MSPN 2019: 153-162 - [c19]Achraf Lyazidi, Salma Mouline:
Formal Verification of UML State Machine Diagrams Using Petri Nets. NETYS 2019: 67-74 - 2018
- [j8]Achraf Lyazidi, Salma Mouline:
A metamodel-driven definition and implementation of ONDAR: a home automation ontology. Int. J. Comput. Appl. Technol. 58(3): 198-210 (2018) - [j7]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
APRA: An approximate parallel recommendation algorithm for Big Data. Knowl. Based Syst. 157: 10-19 (2018) - [c18]Mehdi Srifi, Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A Concise Survey on Content Recommendations. BDCA 2018: 393-405 - [e1]Khalid Minaoui, Mohammed El Hassouni, Hicham Laanaya, Dounia Lotfi, Salma Mouline, Mohamed Ouadou, Atika Rivenq, Mohammed Rziza, Samir Saoudi:
9th International Symposium on Signal, Image, Video and Communications, ISIVC 2018, Rabat, Morocco, November 27-30, 2018. IEEE 2018, ISBN 978-1-5386-8173-2 [contents] - 2017
- [j6]Ayoub Ait Lahcen, Didier Parigot, Salma Mouline:
Data-Dependency Formalism for Developing Peer-to-Peer Applications. Comput. Informatics 36(2): 353-385 (2017) - [j5]Achraf Lyazidi, Salma Mouline:
A model-driven engineering approach to formally verify BPMN models using Petri nets. Int. J. Bus. Process. Integr. Manag. 8(4): 273-284 (2017) - [c17]Bethaina Touijer, Yann Ben Maissa, Salma Mouline:
MAC protocols for Wireless Body Area Networks: An overview. IWCMC 2017: 1227-1232 - 2016
- [c16]Btissam Zerhari, Ayoub Ait Lahcen, Salma Mouline:
Detection and elimination of class noise in large datasets using partitioning filter technique. CIST 2016: 194-199 - [c15]Safae Cherdal, Salma Mouline:
Petri nets for modelling and analysing a complex system related to Alzheimer's disease. SAC 2016: 309-312 - [c14]Hafsa Ennajari, Yann Ben Maissa, Salma Mouline:
Energy Efficient In-Network Aggregation Algorithms in Wireless Sensor Networks: A Survey. UNet 2016: 135-148 - 2015
- [c13]Samia Benabdellah Chaouni, Mounia Fredj, Salma Mouline:
A Rules-based system for model composition. AICCSA 2015: 1-8 - [c12]Safae Cherdal, Salma Mouline:
A petri net model for a composed biological system. ICTA 2015: 1-6 - [c11]Achraf Lyazidi, Salma Mouline:
ONDAR: An ontology for home automation. ISDA 2015: 260-265 - 2014
- [j4]Maryam Radgui, Rajaa Saidi, Salma Mouline:
Évaluations qualitatives d'un mécanisme d'identification de fragments métiers réutilisables à partir de processus métiers. Ingénierie des Systèmes d Inf. 19(1): 97-123 (2014) - [c10]Maryam Radgui, Rajaa Saidi, Salma Mouline:
Business models alignment with reuse approach. RCIS 2014: 1-6 - 2013
- [j3]Maryam Radgui, Rajaa Saidi, Salma Mouline:
Design for Reuse in Business Process: Method and Experiments. Int. J. Enterp. Inf. Syst. 9(4): 12-27 (2013) - [j2]Yann Ben Maissa, Fabrice Kordon, Salma Mouline, Yann Thierry-Mieg:
Modeling and Analyzing Wireless Sensor Networks with VeriSensor: An Integrated Workflow. Trans. Petri Nets Other Model. Concurr. 8: 24-47 (2013) - 2012
- [c9]Yann Ben Maissa, Fabrice Kordon, Salma Mouline, Yann Thierry-Mieg:
Modeling and Analyzing Wireless Sensor Networks with VeriSensor. PNSE 2012: 60-76 - [c8]Ayoub Ait Lahcen, Didier Parigot, Salma Mouline:
Defining and Analyzing P2P Applications with a Data-Dependency Formalism. PDCAT 2012: 317-322 - 2011
- [c7]Samia Benabdellah Chaouni, Mounia Fredj, Salma Mouline:
Metamodels for models complete integration. IRI 2011: 496-497 - [i1]Samia Benabdellah Chaouni, Mounia Fredj, Salma Mouline:
MDA based-approach for UML Models Complete Comparison. CoRR abs/1105.6128 (2011)
2000 – 2009
- 2009
- [j1]Rajaa Saidi, Mounia Fredj, Agnès Front, Salma Mouline:
Variabilité dans les composants métiers multivues. Ingénierie des Systèmes d Inf. 14(2): 61-86 (2009) - [c6]Rajaa Saidi, Agnès Front, Dominique Rieu, Mounia Fredj, Salma Mouline:
Component-Based Development: Extension with Business Component Reuse. RCIS 2009: 165-176 - 2008
- [c5]Rajaa Saidi, Agnès Front, Dominique Rieu, Mounia Fredj, Salma Mouline:
From a Business Component to a Functional Component using a Multi-View Variability Modelling. MoDISE-EUS 2008: 34-45 - [c4]Rajaa Saidi, Mounia Fredj, Salma Mouline, Agnès Front, Dominique Rieu:
Spécification de composants métier : une approche par expression de variabilité multi-vue. INFORSID 2008 - [c3]Rajaa Saidi, Mounia Fredj, Salma Mouline, Agnès Front, Dominique Rieu:
Variability modeling for Business Component customization. ISCC 2008: 730-735 - 2007
- [c2]Rajaa Saidi, Mounia Fredj, Salma Mouline, Agnès Front, Dominique Rieu:
Towards Managing Variability Across Business Component Development. IRI 2007: 594-599 - 2004
- [c1]Salma Mouline, Olivier Boëffard, Paul C. Bagshaw:
Automatic adaptation of the momel F0 stylisation algorithm to new corpora. INTERSPEECH 2004: 753-756
Coauthor Index
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last updated on 2024-07-20 21:23 CEST by the dblp team
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