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Imen Chebbi
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2020 – today
- 2021
- [j1]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) - [c6]Imen Chebbi:
Chabbiimen at VQA-Med 2021: Visual Generation of Relevant Natural Language Questions from Radiology Images for Anomaly Detection. CLEF (Working Notes) 2021: 1201-1210
2010 – 2019
- 2019
- [c5]Imen Chebbi, Nedra Mellouli, Myriam Lamolle, Imed Riadh Farah
:
Deep Learning Analysis for Big Remote Sensing Image Classification. KDIR 2019: 355-362 - [c4]Hanen Balti
, Nedra Mellouli, Imen Chebbi, Imed Riadh Farah
, Myriam Lamolle:
Deep Semantic Feature Detection from Multispectral Satellite Images. KDIR 2019: 458-466 - 2018
- [c3]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 - 2016
- [c2]Imen Chebbi, Wadii Boulila
, Imed Riadh Farah
:
Improvement of satellite image classification: Approach based on Hadoop/MapReduce. ATSIP 2016: 31-34 - 2015
- [c1]Imen Chebbi, Wadii Boulila
, Imed Riadh Farah
:
Big Data: Concepts, Challenges and Applications. ICCCI (2) 2015: 638-647
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