Insaf Bellamine

Orcid: 0000-0002-9339-6934

According to our database1, Insaf Bellamine authored at least 15 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Univariate Outlier Detection: Precision-Driven Algorithm for Single-Cluster Scenarios.
Algorithms, June, 2024

A Robust Approach for Ulcer Classification/Detection in WCE Images.
Int. J. Online Biomed. Eng., 2024

Survey on the Segmentation of Brain Tumors Using Deep Learning Techniques.
Proceedings of the 11th International Conference on Wireless Networks and Mobile Communications, 2024

2023
Improving Human Action Recognition in Videos with Two-Stream and Self-Attention Module.
Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023

Anomaly Detection in PV Modules: A Comparative Study of DBSCAN, k-means, Isolation Forest, and LOF.
Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023

Plant leaf diseases classification using Deep Learning.
Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023

2022
Human Action Recognition Using Squeezed Convolutional Neural Network.
Proceedings of the 11th International Symposium on Signal, Image, Video and Communications, 2022

2021
IoT and AI based intelligent system to fight against COVID-19.
Proceedings of the NISS2021: The 4th International Conference on Networking, Information Systems & Security, KENITRA, Morocco, April 1, 2021

Detection of COVID-19 from Chest X-ray images using Deep learning.
Proceedings of the NISS2021: The 4th International Conference on Networking, Information Systems & Security, KENITRA, Morocco, April 1, 2021

2020
Track color space-time interest points in video.
Multim. Tools Appl., 2020

Motion Detection Using the Dynamic Color Texture.
Proceedings of the NISS 2020: The 3rd International Conference on Networking, Information Systems & Security, Marrakech, Morocco, March 31, 2020

2016
Motion estimation using the total variation-local-global optical flow and the structure-texture image decomposition.
Int. J. Comput. Appl. Technol., 2016

2015
Optical flow estimation based on the structure-texture image decomposition.
Signal Image Video Process., 2015

2014
Motion Detection using the Space-Time Interest Points.
J. Comput. Sci., 2014

2013
Motion detection and tracking using space-time interest points.
Proceedings of the ACS International Conference on Computer Systems and Applications, 2013


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