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ORCIDKhalifa Djemal
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2020 – today
- 2024
[j12]Ali Mezaghrani, Mohammed Debakla, Khalifa Djemal:
Novel feature selection method for accurate breast cancer classification using Correlation coefficient and Modified GWO Algorithm. Comput. Sci. J. Moldova 32(2): 175-198 (2024)- [c26]Sidi Mohammed Alaoui, Khalifa Djemal, Amir Ali Feiz, Pierre Ngae:
Pollutant Concentration Prediction by Random Forest to Estimate a Contaminant Source Position. AIAI (2) 2024: 265-278 - 2023
- [c25]Sriparna Banerjee, S. K. Daud Hassan, Suranjana Mukherjee, Sheli Sinha Chaudhuri, Khalifa Djemal, Amir Ali Feiz:
Foliage-Pattern-Identifier: A Hybridized Grey Wolf & Adam optimized Deep Learning architecture designed for identification of similarly patterned leaves. IPTA 2023: 1-6 - [c24]Moumita Hait, Rajani Das, Asfak Ali
, Sheli Sinha Chaudhari, Khalifa Djemal:
Skin Cancer Classification using Levy Stable Based Ensemble and It's Real-Time Implementation on OpenVINO Toolkit. IPTA 2023: 1-6 - [c23]S. K. Daud Hassan, Sripama Banerjee, Debanka Pal, Sheli Sinha Chaudhuri, Khalifa Djemal, Amir Ali Feiz:
MangNet: A Muti-Scale Contextual Information Driven Deep Learning Architecture designed to perform Sunderban Landcover classification. IPTA 2023: 1-6 - [c22]Debanka Pal, Sriparna Banerjee, S. K. Daud Hassan, Sheli Sinha Chaudhuri, Khalifa Djemal:
Fuzzy Logic based adaptive weighted despeckling method designed considering inter-pixel scattering similarities. IPTA 2023: 1-6 - [c21]Huaijin Wang, Khalifa Djemal, Amir Ali Feiz, Sheli Sinha Chaudhuri:
Prediction of Air Pollutant Concentrations in Airport Areas using Machine Learning Architecture. IPTA 2023: 1-6 - 2022
- [j11]Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana:
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network. Int. J. Imaging Syst. Technol. 32(3): 1015-1029 (2022) - [c20]Ali Mezaghrani, Mohamed Debakla, Khalifa Djemal:
Robust Method for Breast Cancer Classification Based on Feature Selection Using RGWO Algorithm. ICAITA 2022: 18-27 - 2021
- [p2]Pascal Bourdon, Olfa Ben Ahmed, Thierry Urruty, Khalifa Djemal, Christine Fernandez-Maloigne:
Explainable AI for Medical Imaging: Knowledge Matters. Multi-faceted Deep Learning 2021: 267-292 - 2020
- [c19]Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana:
Combined Datasets For Breast Cancer Grading Based On Multi-CNN Architectures. IPTA 2020: 1-7 - [c18]Florian Maronnat, Margaux Seguin, Khalifa Djemal:
Cognitive tasks modelization and description in VR environment for Alzheimer's disease state identification. IPTA 2020: 1-7
2010 – 2019
- 2019
- [j10]Mohammed Debakla, Mohamed Salem, Khalifa Djemal, Khaled Benmeriem:
Fuzzy farthest point first method for MRI brain image clustering. IET Image Process. 13(13): 2395-2400 (2019) - [j9]Abdelkader Horch, Khalifa Djemal, Gafour Abdelkader, Nasreddine Taleb:
Supervised fusion approach of local features extracted from SAR images for detecting deforestation changes. IET Image Process. 13(14): 2866-2876 (2019) - 2017
- [j8]Jean-Marie Moureaux, Andreas Uhl, Khalifa Djemal, William Puech:
Special issue on Medical Image Communication, Computing and Security. Signal Process. Image Commun. 59: 1-2 (2017) - 2016
- [c17]Rima Daoudi, Khalifa Djemal:
Breast Cancer Classification by Artificial Immune Algorithm based Validity Interval Cells Selection. IJCCI (ECTA) 2016: 209-216 - 2015
- [j7]Amel Boulemnadjel, Fella Hachouf, Amel Hebboul, Khalifa Djemal:
Active learning for improving a soft subspace clustering algorithm. Eng. Appl. Artif. Intell. 46: 196-208 (2015) - [j6]Mohammed Debakla, Khalifa Djemal, Mohamed Benyettou:
A Novel Approach for Medical Images Noise Reduction Based RBF Neural Network Filter. J. Comput. 10(2): 68-80 (2015) - [c16]Rima Daoudi, Khalifa Djemal, Abdelkader Benyettou:
Improving cells recognition by local database categorization in Artificial Immune System algorithm. Application to breast cancer diagnosis. EAIS 2015: 1-6 - [c15]Rima Daoudi, Khalifa Djemal, Abdelkader Benyettou:
Using artificial immune algorithm for fast convergence of multi layer perceptron in breast cancer diagnosis application. IPTA 2015: 341-345 - [p1]Khalifa Djemal, Imene Cheikhrouhou, Hichem Maaref:
Mammographic Mass Description for Breast Cancer Recognition. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 31-46 - 2014
- [j5]Meriem Hacini, Fella Hachouf, Khalifa Djemal:
A new speckle filtering method for ultrasound images based on a weighted multiplicative total variation. Signal Process. 103: 214-229 (2014) - [c14]Meriem Hacini, Fella Hachouf, Khalifa Djemal:
A new fractional-order variational model for speckled de-noising. EUVIP 2014: 1-6 - [c13]Rima Daoudi, Khalifa Djemal, Abdelkader Benyettou:
Digital Database for Screening Mammography Classification Using Improved Artificial Immune System Approaches. IJCCI (ECTA) 2014: 244-250 - 2013
- [c12]Ryma Daoudi, Khalifa Djemal, Abdelkader Benyettou:
Cells clonal selection for Breast Cancer classification. SSD 2013: 1-4 - [c11]Rima Daoudi, Khalifa Djemal, Abdelkader Benyettou:
An Immune-Inspired Approach for Breast Cancer Classification. EANN (1) 2013: 273-281 - [c10]Mohammed Debakla, Khalifa Djemal, Mohamed Benyettou:
Image Restoration Method by Total Variation Minimization Using Multilayer Neural Networks Approach. EANN (1) 2013: 424-432 - 2012
- [c9]Meriem Hacini, Khalifa Djemal, Fella Hachouf:
Speckled images restoration filter based on weighted multiplicative regularization approach. IPTA 2012: 111-115 - [e3]Khalifa Djemal, Mohamed A. Deriche:
3rd International Conference on Image Processing Theory Tools and Applications, IPTA 2012, 15-18 October 2012, Istanbul, Turkey. IEEE 2012, ISBN 978-1-4673-2583-7 [contents] - 2011
- [j4]Rostom Kachouri, Khalifa Djemal, Hichem Maaref:
Sélection adaptative de caractéristiques pertinentes et classification hiérarchique des images dans les bases hétérogènes. Traitement du Signal 28(5): 547-574 (2011) - [c8]Imen Cheikhrouhou, Khalifa Djemal, Hichem Maaref:
Protuberance Selection descriptor for breast cancer diagnosis. EUVIP 2011: 280-285 - [c7]Meriem Hacini, Fella Hachouf, Khalifa Djemal:
An adaptive total variation method for speckle reduction in medical ultrasound imaging. ICIP 2011: 1545-1548 - [e2]Khalifa Djemal:
MIAD 2011 - Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems, Rome, Italy, January, 2011. SciTePress 2011, ISBN 978-989-8425-38-6 [contents] - 2010
- [j3]Rostom Kachouri, Khalifa Djemal, Hichem Maaref:
Multi-model classification method in heterogeneous image databases. Pattern Recognit. 43(12): 4077-4088 (2010) - [c6]Imene Cheikhrouhou, Khalifa Djemal, Hichem Maaref:
Mass Description for Breast Cancer Recognition. ICISP 2010: 576-584 - [c5]Rostom Kachouri, Khalifa Djemal, Hichem Maaref:
Adaptive feature selection for heterogeneous image databases. IPTA 2010: 26-31 - [e1]Khalifa Djemal, Mohamed A. Deriche:
2nd International Conference on Image Processing Theory Tools and Applications, IPTA 2010, 7-10 July, 2010, Paris, France. IEEE 2010, ISBN 978-1-4244-7248-2 [contents]
2000 – 2009
- 2008
- [c4]Rostom Kachouri, Khalifa Djemal, Hichem Maaref, Dorra Sellami Masmoudi, Nabil Derbel:
Heterogeneous Image Retrieval System based on Features Extraction and SVM Classifier. ICINCO-SPSMC 2008: 137-142 - 2006
- [j2]Khalifa Djemal, William Puech, Bruno Rossetto:
Automatic Active Contours Propagation in a Sequence of Medical Images. Int. J. Image Graph. 6(2): 267-292 (2006) - 2005
- [c3]Khalifa Djemal:
Speckle reduction in ultrasound images by minimization of total variation. ICIP (3) 2005: 357-360 - 2004
- [j1]Sofiane Ramdani, Frédéric Bouchara, Khalifa Djemal:
Probability distribution of sub-pixel edge position. Signal Process. 84(3): 445-452 (2004) - 2002
- [c2]Khalifa Djemal, William Puech, Bruno Rossetto:
Active contours propagation in a medical images sequence with a local estimation. EUSIPCO 2002: 1-4 - [c1]Khalifa Djemal, Frédéric Bouchara, Bruno Rossetto:
Image Modeling and Region-Based Active Contours Segmentation. VMV 2002: 363-370
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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