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Journal Articles
- 2024
[j15]Akram Hakiri
, Aniruddha Gokhale, Sadok Ben Yahia, Nedra Mellouli:
A comprehensive survey on digital twin for future networks and emerging Internet of Things industry. Comput. Networks 244: 110350 (2024)- [j14]Nzamba Bignoumba, Nedra Mellouli, Sadok Ben Yahia:
A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data. Expert Syst. Appl. 238(Part E): 122148 (2024) - [j13]Akram Hakiri, Sadok Ben Yahia, Aniruddha S. Gokhale, Nédra Mellouli:
Special Issue on Digital Twin for Future Networks and Emerging IoT Applications (DT4IoT). Future Gener. Comput. Syst. 161: 81-84 (2024) - 2023
- [j12]Nesrine Wagaa, Hichem Kallel, Nédra Mellouli:
Analytical and deep learning approaches for solving the inverse kinematic problem of a high degrees of freedom robotic arm. Eng. Appl. Artif. Intell. 123(Part B): 106301 (2023) - [j11]Hanen Balti, Ali Ben Abbes, Yan-Fang Sang, Nedra Mellouli, Imed Riadh Farah:
Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting. Comput. Geosci. 179: 105435 (2023) - 2022
- [j10]Nesrine Wagaa, Hichem Kallel, Nédra Mellouli:
Improved Arabic Alphabet Characters Classification Using Convolutional Neural Networks (CNN). Comput. Intell. Neurosci. 2022: 9965426:1-9965426:16 (2022) - [j9]Hanen Balti, Ali Ben Abbes, Nedra Mellouli, Imed Riadh Farah, Yan-Fang Sang, Myriam Lamolle:
Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring. Future Gener. Comput. Syst. 136: 1-14 (2022) - 2021
- [j8]Imen Chebbi, Nedra Mellouli, Imed Riadh Farah, Myriam Lamolle:
Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks. Big Data Cogn. Comput. 5(2): 21 (2021) - 2020
- [j7]Hanen Balti, Ali Ben Abbes, Nedra Mellouli, Imed Riadh Farah, Yan-Fang Sang, Myriam Lamolle:
A review of drought monitoring with big data: Issues, methods, challenges and research directions. Ecol. Informatics 60: 101136 (2020) - 2018
- [j6]Sidahmed Benabderrahmane, Nedra Mellouli, Myriam Lamolle:
On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks. Knowl. Based Syst. 151: 95-113 (2018) - 2017
- [j5]Sidahmed Benabderrahmane, Nedra Mellouli, Myriam Lamolle, Patrick Paroubek:
Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification. Big Data Res. 7: 16-30 (2017) - [j4]Olfa Allani, Hajer Baazaoui Zghal, Nedra Mellouli, Herman Akdag:
Pattern graph-based image retrieval system combining semantic and visual features. Multim. Tools Appl. 76(19): 20287-20316 (2017) - 2016
- [j3]Anne Ricordeau, Nedra Mellouli:
Exploring 3D-structure analysis tools for a simulated bone remodelling process. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4(3-4): 253-263 (2016) - 2003
- [j2]Nedra Mellouli, Bernadette Bouchon-Meunier:
Abductive reasoning and measures of similitude in the presence of fuzzy rules. Fuzzy Sets Syst. 137(1): 177-188 (2003) - 2001
- [j1]Herman Akdag, Isis Truck, Amel Borgi, Nedra Mellouli:
Linguistic Modifiers in a Symbolic Framework. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(Supplement): 49-61 (2001)
Conference and Workshop Papers
- 2024
- [c21]El Moundir Faraoun, Nédra Mellouli, Stephane Millot, Myriam Lamolle:
Contextual kNN Ensemble Retrieval Approach for Semantic Postal Address Matching. IAL@PKDD/ECML 2024: 96-111 - 2023
- [c20]Yahjeb Bouha Khatraty, Nédra Mellouli, Mamadou Tourad Diallo, Mohamedade Farouk Nanne:
Smart Digital-Twin hub Concept for Rice yield prediction and monitoring from multivariate time series data. CSCS 2023: 48-55 - [c19]Mohamed Louay Rabah, Nedra Mellouli, Imed Riadh Farah:
Interpolation and Prediction of Piezometric Multivariate Time Series Based on Data Augmentation and Transformers. IntelliSys (2) 2023: 327-344 - 2022
- [c18]Nedra Mellouli, Mohamed Louay Rabah, Imed Riadh Farah:
Transformers-based time series forecasting for piezometric level prediction. EAIS 2022: 1-6 - [c17]Mohamed Louay Rabah, Nedra Mellouli, Imed Riadh Farah:
Modèle de prédiction de niveau piézométrique basé sur Transformers. EGC 2022: 305-312 - [c16]Mariya Evtimova-Gardair, Nedra Mellouli:
An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs. ICPRAI (2) 2022: 407-418 - 2021
- [c15]Hanen Balti, Nedra Mellouli, Ali Ben Abbes, Imed Riadh Farah, Yangfan Sang, Myriam Lamolle:
Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. ISD 2021 - 2019
- [c14]Imen Chebbi, Nedra Mellouli, Myriam Lamolle, Imed Riadh Farah:
Deep Learning Analysis for Big Remote Sensing Image Classification. KDIR 2019: 355-362 - [c13]Nédra Mellouli, Mahdjouba Akerma, Minh Hoang, Denis Leducq, Anthony Delahaye:
Multivariate Time Series Forecasting with Deep Learning Proceedings in Energy Consumption. KDIR 2019: 384-391 - [c12]Hanen Balti, Nedra Mellouli, Imen Chebbi, Imed Riadh Farah, Myriam Lamolle:
Deep Semantic Feature Detection from Multispectral Satellite Images. KDIR 2019: 458-466 - [c11]Nédra Mellouli, Mahdjouba Akerma, Minh Hoang, Denis Leducq, Anthony Delahaye:
Deep Learning Models for Time Series Forecasting of Indoor Temperature and Energy Consumption in a Cold Room. ICCCI (2) 2019: 133-144 - 2018
- [c10]Imen Chebbi, Wadii Boulila, Nedra Mellouli, Myriam Lamolle, Imed Riadh Farah:
A comparison of big remote sensing data processing with Hadoop MapReduce and Spark. ATSIP 2018: 1-4 - 2017
- [c9]Olfa Allani, Nedra Mellouli, Hajer Baazaoui Zghal, Herman Akdag:
Sélection ciblée des descripteurs visuels pour la recherche d'images: une approche basée sur les règles d'association. EGC 2017: 441-442 - [c8]Sidahmed Benabderrahmane, Nedra Mellouli, Myriam Lamolle, Nada Mimouni:
When Deep Neural Networks Meet Job Offers Recommendation. ICTAI 2017: 223-230 - [c7]Sidahmed Benabderrahmane, Nedra Mellouli, Myriam Lamolle:
Predicting the Users' Clickstreams Using Time Series Representation, Symbolic Sequences, and Deep Learning: Application on Job Offers Recommendation Tasks. IRI 2017: 436-443 - 2016
- [c6]Olfa Allani, Hajer Baazaoui Zghal, Nedra Mellouli, Herman Akdag:
A Knowledge-based Image Retrieval System Integrating Semantic and Visual Features. KES 2016: 1428-1436 - 2015
- [c5]Olfa Allani, Nedra Mellouli, Hajer Baazaoui Zghal, Herman Akdag, Henda Ben Ghézala:
A Relevant Visual Feature Selection Approach for Image Retrieval. VISAPP (2) 2015: 377-384 - 2014
- [c4]Olfa Allani, Hajer Baazaoui Zghal, Nedra Mellouli, Herman Akdag, Henda Ben Ghézala:
A Pattern-based System for Image Retrieval. KEOD 2014: 345-352 - 2008
- [c3]Anne Ricordeau, Nedra Mellouli:
A stochastic bone remodeling process. ISBI 2008: 1207-1210 - 2004
- [c2]Sylvie Sevestre-Ghalila, Amel Benazza-Benyahia, Anne Ricordeau, Nedra Mellouli, Christine Chappard, Claude Laurent Benhamou:
Texture Image Analysis for Osteoporosis Detection with Morphological Tools. MICCAI (1) 2004: 87-94 - 1999
- [c1]Nedra Mellouli, Bernadette Bouchon-Meunier:
Linguistic approach for interpolative reasoning. EUSFLAT-ESTYLF Joint Conf. 1999: 127-130
Informal and Other Publications
- 2000
- [i1]Nedra Mellouli, Bernadette Bouchon-Meunier:
Fuzzy Approaches to Abductive Inference. CoRR cs.AI/0003029 (2000)
Coauthor Index
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