Bassel Solaiman

Orcid: 0000-0002-5977-230X

According to our database1, Bassel Solaiman authored at least 165 papers between 1988 and 2024.

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Bibliography

2024
A machine learning approach for multiple sclerosis diagnosis through Detecron Architecture.
Multim. Tools Appl., April, 2024

Comparative Analysis of Non-Stationary Signal Processing Approaches for Epileptic Disease Detection.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023
Two No-Reference Image Quality Assessment methods based on Possibilistic Choquet Integral and Entropy: Application to Automatic Fingerprint Identification Systems.
Expert Syst. Appl., August, 2023

An Innovative Possibilistic Fingerprint Quality Assessment (PFQA) Filter to Improve the Recognition Rate of a Level-2 AFIS.
Entropy, March, 2023

2022
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation.
J. Digit. Imaging, 2022

Optic disc detection and segmentation using saliency mask in retinal fundus images.
Comput. Biol. Medicine, 2022

A comparative study of CNN and U-Net performance for automatic segmentation of medical images: application to cardiac MRI.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

Spatio-temporal monitoring of soil salinity and land cover changes using remote sensing techniques: Zaghouan case study (Tunisia).
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Hypothetical reasoning method based on hypothetical cases.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Model Based Anomaly Detection in High Dimensional DATA.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Structured Case Base Knowledge using Unsupervised Learning.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Automatic delineation of left ventricle contours in MRI using deep learning.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021
REST database.
Dataset, January, 2021

A new conditional region growing approach for microcalcification delineation in mammograms.
Medical Biol. Eng. Comput., 2021

Multiatlas-based segmentation of female pelvic organs: Application for computer-aided diagnosis of cervical cancer.
Int. J. Imaging Syst. Technol., 2021

Automatic three-dimensional detection and volume estimation of low-grade gliomas.
Int. J. Imaging Syst. Technol., 2021

A New Hybrid Possibilistic-Probabilistic Decision-Making Scheme for Classification.
Entropy, 2021

Automatic Regional Estimation of Myocardial Strain Using Deep Learning.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Boosting CNN Learning by Ensemble Image Preprocessing Methods for Cervical Cancer Segmentation.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Learning contextual superpixel similarity for consistent image segmentation.
Multim. Tools Appl., 2020

Neural Network-based System for Automatic Passport Stamp Classification.
Inf. Technol. Control., 2020

An intelligent quality-based approach to fusing multi-source possibilistic information.
Inf. Fusion, 2020

Possibilistic Similarity Measures for Data Science and Machine Learning Applications.
IEEE Access, 2020

Logo Detection Based on FCM Clustering Algorithm and Texture Features.
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Nuclei Segmentation Approach for Digestive Neuroendocrine Tumors Analysis Using optimized Color Space Conversion.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Possibilistic BRISK method for an efficient registration (PBRISK).
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Soil salinity prediction using a machine learning approach through hyperspectral satellite image.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

A new features vector matching for big heterogeneous data in intrusion detection context.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Multimodal Medical Image Registration Based on a Hybrid Optimization Strategy.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Case-Based Reasoning: Problems And Importance Of Similarity Measure.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Binary hierarchical multiclass classifier for uncertain numerical features.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Data and information quality assessment in a possibilistic framework based on the Choquet Integral.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Generation of fuzzy evidence numbers for the evaluation of uncertainty measures.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Quantification of left ventricular function in MRI: a review of current approaches.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Multi-atlas based segmentation of human cerebellum.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

2019
A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2019

The use of contextual spatial knowledge for low-quality image segmentation.
Multim. Tools Appl., 2019

Guest Editorial: Advances in Computational Intelligence for Multimodal Biomedical Imaging.
Multim. Tools Appl., 2019

Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection.
Expert Syst. Appl., 2019

Implementation and comparison of binary thinning algorithms on GPU.
Computing, 2019

Big Data Processing for Intrusion Detection System Context: A Review.
Proceedings of the Intelligent Systems Design and Applications, 2019

Comparative study of feature detector and descriptor methods for registration.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

Possibilistic registration based on unsupervised classification (BMPRUC).
Proceedings of the Twelfth International Conference on Machine Vision, 2019

Possibility Theory for the Design of Information Fusion Systems
Springer, ISBN: 978-3-030-32852-8, 2019

Data and Information Quality in Remote Sensing.
Proceedings of the Information Quality in Information Fusion and Decision Making, 2019

2018
A modified ZS thinning algorithm by a hybrid approach.
Vis. Comput., 2018

Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

An iterative possibilistic knowledge diffusion approach for blind medical image segmentation.
Pattern Recognit., 2018

Watermarking medical images with patient identification to verify authenticity.
Int. J. Medical Eng. Informatics, 2018

Two-step evidential fusion approach for accurate breast region segmentation in mammograms.
IET Image Process., 2018

Mammographic mass segmentation using fuzzy contours.
Comput. Methods Programs Biomed., 2018

Automatic mass function estimation based Fuzzy-C-Means algorithm for remote sensing images change detection.
Proceedings of the 25th International Conference on Mechatronics and Machine Vision in Practice, 2018

Segmentation of low-grade gliomas based on the growing region and level sets techniques.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Microcalcifications detection from mammographie images based on region growing and variational energy convergence.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

New method of registration based on the theory of possibility.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Towards change detection in bi-temporal images using evidential conflict.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Qualitative semantic spatio-temporal reasoning based on description logics for modeling dynamics of spatio-temporal objects in satellite images.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
Bimodal biometric system for hand shape and palmprint recognition based on SIFT sparse representation.
Multim. Tools Appl., 2017

Adaptive strategy for superpixel-based region-growing image segmentation.
J. Electronic Imaging, 2017

Breast mass segmentation in mammograms combining fuzzy c-means and active contours.
Proceedings of the Tenth International Conference on Machine Vision, 2017

Bimodal Biometric Method Fusing Hand Shape and Palmprint Modalities at Rank Level.
Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

A new efficient fuzzy cluster validity index: Application to images clustering.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Ontology Based Possibilistic Reasoning for Breast Cancer Aided Diagnosis.
Proceedings of the Information Systems, 2017

Contextual possibilistic modeling of pixellic knowledge for tumor segmentation in mammographic images.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
Towards an Integration of Fusion of Information and Analytics Technologies (FIAT) to Improve Dependability and Security in Complex Systems.
Proceedings of the Meeting Security Challenges Through Data Analytics and Decision Support, 2016

Iterative Refinement of Possibility Distributions by Learning for Pixel-Based Classification.
IEEE Trans. Image Process., 2016

Association rules-based Ontology Enrichment.
Int. J. Web Appl., 2016

Ontology Knowledge Mining for Ontology Alignment.
Int. J. Comput. Intell. Syst., 2016

Local invariant representation for multi-instance toucheless palmprint identification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Ontology Knowledge Mining Based Association Rules Ranking.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

Image fusion models and techniques at pixel level.
Proceedings of the International Image Processing, Applications and Systems, 2016

Mammographic mass classification based on possibility theory.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Fuzzy Clustering based Approach for Ontology Alignment.
Proceedings of the ICEIS 2016, 2016

Scene mining and knowledge discovery, concepts and applications.
Proceedings of the International Conference on Big Data and Advanced Wireless Technologies, 2016

Segmentation of low-grade gliomas in MRI: Phase based method.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Fusion of spatial autocorrelation and spectral data for remote sensing image classification.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Image segmentation by contextual region growing based on fuzzy classification.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2015
Feature selection in possibilistic modeling.
Pattern Recognit., 2015

Fingerprint verification system based on curvelet transform and possibility theory.
Multim. Tools Appl., 2015

A conceptual definition of a holonic processing framework to support the design of information fusion systems.
Inf. Fusion, 2015

Bag of face recognition systems based on holistic approaches.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

Hand verification system based on multi-features fusion.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

A new definition of fuzzy contours in mammographic images.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Novel biometric features fusion method based on possibility theory.
Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

Personal recognition system using hand modality based on local features.
Proceedings of the 11th International Conference on Information Assurance and Security, 2015

2014
Probability-possibility hybrids ystems for merging technical indices.
Traitement du Signal, 2014

Face recognition based on geometric features using Support Vector Machines.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Novel hand biometric system using invariant descriptors.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Microcalcifications detection in mammograms based on Ant Colony Optimization and Markov Random Field.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Phantom conception for development of planar scintigraphic image restoration procedures.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Bimodal biometric system based on SIFT descriptors of hand images.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods.
Proceedings of the International Image Processing, 2014

Towards a new ontology matching approach based on multi-criteria analysis methods.
Proceedings of the International Image Processing, 2014

Multi-resolution and multi-spectral analysis for satellite images classification with fuzzy spatial relationships.
Proceedings of the International Image Processing, 2014

An evidence based approach for multipe similarity measures combining for ontology mapping.
Proceedings of the International Image Processing, 2014

A Method of Pixel Unmixing by Classes based on the Possibilistic Similarity.
Proceedings of the ICPRAM 2014, 2014

MLP Neural Network for face recognition based on Gabor Features and Dimensionality Reduction techniques.
Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014

A Semi-automatic Mapping Selection in the Ontology Alignment Process.
Proceedings of the KEOD 2014, 2014

On the use of holonic agents in the design of information fusion systems.
Proceedings of the 17th International Conference on Information Fusion, 2014

Hybrid probability-possibility decision support systems for merging technical indices.
Proceedings of the 17th International Conference on Information Fusion, 2014

A critical analysis of lifecycles and methods for ontology construction and evaluation.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

A new ontology for semantic annotation of remotely sensed images.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

Ontological approach to mammographic knowledge representation.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

Possibilistic modeling of ultrasonic signal for floor state recognition.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2013
Multi-Spectro-Temporal Analysis of Hyperspectral Imagery Based on 3-D Spectral Modeling and Multilinear Algebra.
IEEE Trans. Geosci. Remote. Sens., 2013

Contextual Possibilistic Knowledge Diffusion for Images Classification.
Proceedings of the Image Processing and Communications Challenges 5, 2013

Possibilistic Similarity based Image Classification.
Proceedings of the ICPRAM 2013, 2013

Iterative Possibility Distributions Refining in Pixel-based Images Classification Framework.
Proceedings of the ICPRAM 2013, 2013

Combined local features selection for face recognition based on Naïve Bayesian classification.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

2012
Vers une méthodologie de reconstruction 3D de scènes sous-marines par caméras. Problématiques et études préliminaires.
Traitement du Signal, 2012

Possibilistic Medical Knowledge Representation Model.
J. Adv. Inf. Fusion, 2012

High level adaptive fusion approach: application to land cover change prediction in satellite image databases.
Proceedings of the ACM Symposium on Applied Computing, 2012

A robust Evidential Fisher Discriminant for multi-temporal hyperspectral images classification.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Novel Iris Segmentation Method.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

Curvelet transform-based features extraction for fingerprint identification.
Proceedings of the 2012 BIOSIG, 2012

Iris verification system based on curvelet transform.
Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2012

2011
Focusing Problems of a Buried Point Scatterer using a Low Frequency SAR.
IEEE Trans. Aerosp. Electron. Syst., 2011

A New Method to Change Illumination Effect Reduction Based on Spectral Angle Constraint for Hyperspectral Image Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2011

Combining Decision Fusion and Uncertainty Propagation to Improve Land Cover Change Prediction in Satellite Image Databases.
J. Multim. Process. Technol., 2011

Maximizing Strength of Digital Watermarks using Fuzzy Logic
CoRR, 2011

A data mining based approach to predict spatiotemporal changes in satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2011

A Fuzzy Similarity Based Image Segmentation Scheme Using Self-organizing Map with Iterative Region Merging.
Proceedings of the Visual Informatics: Sustaining Research and Innovations, 2011

A New Watermarking Scheme based on Multi-watermaks Embedding in Multi-domains using Fuzzy C-means Technique.
Proceedings of the BIOSIGNALS 2011, 2011

2010
Fusion of possibilistic sources of evidences for pattern recognition.
Integr. Comput. Aided Eng., 2010

Possibilistic Retrieval in Case-Based Reasoning.
Proceedings of the Advances in Data Mining. 10th Industrial Conference, 2010

An iterative possibilistic image segmentation system: Application to breast cancer detection.
Proceedings of the 13th Conference on Information Fusion, 2010

Medical diagnosis by possibilistic classification reasoning.
Proceedings of the 13th Conference on Information Fusion, 2010

Spatio-Temporal Modeling for Knowledge Discovery in Satellite Image Databases.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

2009
Computer-Assisted Venous Thrombosis Volume Quantification.
IEEE Trans. Inf. Technol. Biomed., 2009

Imperfect Pattern Recognition Using the Fuzzy Measure Theory.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Possibilistic Similarity Estimation and Visualization.
Proceedings of the Advances in Information Retrieval Theory, 2009

Possibilistic ordination-based analysis of an imperfect database.
Proceedings of the 7th IEEE/ACS International Conference on Computer Systems and Applications, 2009

2008
Interpretation of Multisensor Remote Sensing Images: Multiapproach Fusion of Uncertain Information.
IEEE Trans. Geosci. Remote. Sens., 2008

PSO based parametric object recognition.
IEICE Electron. Express, 2008

An Efficient Association Rule Mining Algorithm for Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007
Focusing problems of subsurface imaging by a low-frequency SAR.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Self-Organizing Map for surface characterization in time series.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Rule-based diagnostic system fusion.
Proceedings of the 10th International Conference on Information Fusion, 2007

2006
From Endoscopic Imaging and Knowledge to Semantic Formal Images.
Proceedings of the Pixelization Paradigm, First Visual Information Expert Workshop, 2006

2005
An Intelligent Web Atlas in Digestive Endoscopy.
Proceedings of the Internet and Multimedia Systems and Applications, 2005

2003
Computer-assisted diagnosis system in digestive endoscopy.
IEEE Trans. Inf. Technol. Biomed., 2003

Diagnostic assisté par ordinateur en endoscopie digestive.
Ingénierie des Systèmes d Inf., 2003

Éditorial.
Ann. des Télécommunications, 2003

2002
Fuzzy propositions weighted by veracities or how to relate fuzzy logic and probability theory for segmentation of ultrasound images.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2002

2001
Medical Decision-Making and Collaborative Reasoning.
Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering, 2001

2000
An optimization of finite-state vector quantization for image compression.
Signal Process. Image Commun., 2000

1999
Multisensor data fusion using fuzzy concepts: application to land-cover classification using ERS-1/JERS-1 SAR composites.
IEEE Trans. Geosci. Remote. Sens., 1999

Information fusion, application to data and model fusion for ultrasound image segmentation.
IEEE Trans. Biomed. Eng., 1999

1998
Toward the border between neural and Markovian paradigms.
IEEE Trans. Syst. Man Cybern. Part B, 1998

An information fusion method for multispectral image classification postprocessing.
IEEE Trans. Geosci. Remote. Sens., 1998

Hough Transform and Uncertainty Handling. Application to Circular Object Detection in Ultrasound Medical Images.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Optimized Source Coding and Coded Modulation for Digital Transmission of Still Images on a Noisy Channel.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997
Transmission Errors Recovery Using Fuzzy Block Similarity Measures.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Derailment-Free Finite State Vector Quantization Using Conditional Histogram. Optimization and Application to Image compression.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
Texture mixture modelling using the neural network approach.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Automatic feature determination using unsupervised neural networks. Application to image registration.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

A multiresolution hybrid neuro-Markovian image modeling and segmentation.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
Image compression using HLVQ neural network.
Proceedings of the 1995 International Conference on Acoustics, 1995

Efficient Learning in Multi-Layered Perceptron Using the Grow-And-Learn Algorithm.
Proceedings of the Progress in Artificial Intelligence, 1995

1992
Extending information sent to the input of a neural network.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1990
Error probability of fast frequency hopping spread spectrum with BFSK modulation in selective Rayleigh and selective Rician fading channels.
IEEE Trans. Commun., 1990

1989
Equal gain diversity improvement in fast frequency hopping spread spectrum multiple-access (FFH-SSMA) communications over Rayleigh fading channels.
IEEE J. Sel. Areas Commun., 1989

1988
Performance of a slow frequency hopping BFSK system using convolutional coding in underwater acoustic media.
Proceedings of the IEEE International Conference on Acoustics, 1988


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