Nedra Mellouli

Orcid: 0000-0001-8858-9902

According to our database1, Nedra Mellouli authored at least 33 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data.
Expert Syst. Appl., March, 2024

2023
Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting.
Comput. Geosci., October, 2023

Analytical and deep learning approaches for solving the inverse kinematic problem of a high degrees of freedom robotic arm.
Eng. Appl. Artif. Intell., 2023

Smart Digital-Twin hub Concept for Rice yield prediction and monitoring from multivariate time series data.
Proceedings of the 24th International Conference on Control Systems and Computer Science, 2023

2022
Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring.
Future Gener. Comput. Syst., 2022

Improved Arabic Alphabet Characters Classification Using Convolutional Neural Networks (CNN).
Comput. Intell. Neurosci., 2022

An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Modèle de prédiction de niveau piézométrique basé sur Transformers.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Transformers-based time series forecasting for piezometric level prediction.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

2021
Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks.
Big Data Cogn. Comput., 2021

Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data.
Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021

2020
A review of drought monitoring with big data: Issues, methods, challenges and research directions.
Ecol. Informatics, 2020

2019
Deep Learning Models for Time Series Forecasting of Indoor Temperature and Energy Consumption in a Cold Room.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

Multivariate Time Series Forecasting with Deep Learning Proceedings in Energy Consumption.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Deep Learning Analysis for Big Remote Sensing Image Classification.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Deep Semantic Feature Detection from Multispectral Satellite Images.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018
On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks.
Knowl. Based Syst., 2018

A comparison of big remote sensing data processing with Hadoop MapReduce and Spark.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
Pattern graph-based image retrieval system combining semantic and visual features.
Multim. Tools Appl., 2017

Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification.
Big Data Res., 2017

Predicting the Users' Clickstreams Using Time Series Representation, Symbolic Sequences, and Deep Learning: Application on Job Offers Recommendation Tasks.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

When Deep Neural Networks Meet Job Offers Recommendation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Sélection ciblée des descripteurs visuels pour la recherche d'images: une approche basée sur les règles d'association.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

2016
Exploring 3D-structure analysis tools for a simulated bone remodelling process.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016

A Knowledge-based Image Retrieval System Integrating Semantic and Visual Features.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

2015
A Relevant Visual Feature Selection Approach for Image Retrieval.
Proceedings of the VISAPP 2015, 2015

2014
A Pattern-based System for Image Retrieval.
Proceedings of the KEOD 2014, 2014

2008
A stochastic bone remodeling process.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2004
Texture Image Analysis for Osteoporosis Detection with Morphological Tools.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

2003
Abductive reasoning and measures of similitude in the presence of fuzzy rules.
Fuzzy Sets Syst., 2003

2001
Linguistic Modifiers in a Symbolic Framework.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

2000
Fuzzy Approaches to Abductive Inference
CoRR, 2000

1999
Linguistic approach for interpolative reasoning.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999


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