Khalifa Djemal

According to our database1, Khalifa Djemal authored at least 38 papers between 2002 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Prediction of Air Pollutant Concentrations in Airport Areas using Machine Learning Architecture.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

Fuzzy Logic based adaptive weighted despeckling method designed considering inter-pixel scattering similarities.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

MangNet: A Muti-Scale Contextual Information Driven Deep Learning Architecture designed to perform Sunderban Landcover classification.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

Skin Cancer Classification using Levy Stable Based Ensemble and It's Real-Time Implementation on OpenVINO Toolkit.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

Foliage-Pattern-Identifier: A Hybridized Grey Wolf & Adam optimized Deep Learning architecture designed for identification of similarly patterned leaves.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

2022
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network.
Int. J. Imaging Syst. Technol., 2022

Robust Method for Breast Cancer Classification Based on Feature Selection Using RGWO Algorithm.
Proceedings of the Artificial Intelligence: Theories and Applications, 2022

2021
Explainable AI for Medical Imaging: Knowledge Matters.
Proceedings of the Multi-faceted Deep Learning - Models and Data, 2021

2020
Cognitive tasks modelization and description in VR environment for Alzheimer's disease state identification.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Combined Datasets For Breast Cancer Grading Based On Multi-CNN Architectures.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

2019
Supervised fusion approach of local features extracted from SAR images for detecting deforestation changes.
IET Image Process., 2019

Fuzzy farthest point first method for MRI brain image clustering.
IET Image Process., 2019

2017
Special issue on Medical Image Communication, Computing and Security.
Signal Process. Image Commun., 2017

2016
Breast Cancer Classification by Artificial Immune Algorithm based Validity Interval Cells Selection.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

2015
A Novel Approach for Medical Images Noise Reduction Based RBF Neural Network Filter.
J. Comput., 2015

Active learning for improving a soft subspace clustering algorithm.
Eng. Appl. Artif. Intell., 2015

Using artificial immune algorithm for fast convergence of multi layer perceptron in breast cancer diagnosis application.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Improving cells recognition by local database categorization in Artificial Immune System algorithm. Application to breast cancer diagnosis.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

Mammographic Mass Description for Breast Cancer Recognition.
Proceedings of the Health Monitoring and Personalized Feedback using Multimedia Data, 2015

2014
A new speckle filtering method for ultrasound images based on a weighted multiplicative total variation.
Signal Process., 2014

Digital Database for Screening Mammography Classification Using Improved Artificial Immune System Approaches.
Proceedings of the ECTA 2014, 2014

A new fractional-order variational model for speckled de-noising.
Proceedings of the 5th European Workshop on Visual Information Processing, 2014

2013
Image Restoration Method by Total Variation Minimization Using Multilayer Neural Networks Approach.
Proceedings of the Engineering Applications of Neural Networks, 2013

An Immune-Inspired Approach for Breast Cancer Classification.
Proceedings of the Engineering Applications of Neural Networks, 2013

Cells clonal selection for Breast Cancer classification.
Proceedings of the 10th International Multi-Conferences on Systems, Signals & Devices, 2013

2012
Speckled images restoration filter based on weighted multiplicative regularization approach.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

2011
Sélection adaptative de caractéristiques pertinentes et classification hiérarchique des images dans les bases hétérogènes.
Traitement du Signal, 2011

An adaptive total variation method for speckle reduction in medical ultrasound imaging.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Protuberance Selection descriptor for breast cancer diagnosis.
Proceedings of the European Workshop on Visual Information Processing, 2011

2010
Multi-model classification method in heterogeneous image databases.
Pattern Recognit., 2010

Adaptive feature selection for heterogeneous image databases.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Mass Description for Breast Cancer Recognition.
Proceedings of the Image and Signal Processing, 4th International Conference, 2010

2008
Heterogeneous Image Retrieval System based on Features Extraction and SVM Classifier.
Proceedings of the ICINCO 2008, 2008

2006
Automatic Active Contours Propagation in a Sequence of Medical Images.
Int. J. Image Graph., 2006

2005
Speckle reduction in ultrasound images by minimization of total variation.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Probability distribution of sub-pixel edge position.
Signal Process., 2004

2002
Image Modeling and Region-Based Active Contours Segmentation.
Proceedings of the 7th International Fall Workshop on Vision, Modeling, and Visualization, 2002

Active contours propagation in a medical images sequence with a local estimation.
Proceedings of the 11th European Signal Processing Conference, 2002


  Loading...