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Imen Chebbi

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2020 – today

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2021
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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)
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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

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2019
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Imen Chebbi, Nedra Mellouli, Myriam Lamolle, Imed Riadh Farah:
Deep Learning Analysis for Big Remote Sensing Image Classification. KDIR 2019: 355-362
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Hanen Balti, Nedra Mellouli, Imen Chebbi, Imed Riadh Farah, Myriam Lamolle:
Deep Semantic Feature Detection from Multispectral Satellite Images. KDIR 2019: 458-466
2018
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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
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Imen Chebbi, Wadii Boulila, Imed Riadh Farah:
Improvement of satellite image classification: Approach based on Hadoop/MapReduce. ATSIP 2016: 31-34
2015
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Imen Chebbi, Wadii Boulila, Imed Riadh Farah:
Big Data: Concepts, Challenges and Applications. ICCCI (2) 2015: 638-647

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