Riadh Ksantini

Orcid: 0000-0001-8143-1600

According to our database1, Riadh Ksantini authored at least 71 papers between 2004 and 2023.

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

Timeline

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On csauthors.net:

Bibliography

2023
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering.
IEEE Trans. Knowl. Data Eng., September, 2023

Sequential Artificial Intelligence Models to Forecast Urban Solid Waste in the City of Sousse, Tunisia.
IEEE Trans. Engineering Management, May, 2023

A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information.
IEEE Internet Things J., May, 2023

A novel multispectral corner detector and a new local descriptor: an application to human posture recognition.
Multim. Tools Appl., 2023

Exploiting scatter matrix on one-class support vector machine based on low variance direction.
Intell. Data Anal., 2023

A Contrastive Variational Graph Auto-Encoder for Node Clustering.
CoRR, 2023

Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Pre-Trained Deep Convolutional Neural Network Architectures for Breast Cancer Diagnosis in Mammography: Current State-Of-The-Art.
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Learning Human Postures Using Lab-Depth HOG Descriptors.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

Deep Interactive Volume Exploration Through Pre-Trained 3D CNN and Active Learning.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift.
IEEE Trans. Knowl. Data Eng., 2022

Deep Learning Techniques for Smart Meter Data Analytics: A Review.
SN Comput. Sci., 2022

Convolutional dynamic auto-encoder: a clustering method for semantic images.
Neural Comput. Appl., 2022

A real-time image-centric transfer function design based on incremental classification.
J. Real Time Image Process., 2022

Optimization of parallel firewalls filtering rules.
Int. J. Inf. Sec., 2022

Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Detection of Breast Masses in Mammograms by Incremental Discriminant Based Support Vector Machine Classifier and Active User Involvement.
Proceedings of the Advances in Computational Collective Intelligence, 2022

Graph Attention Network for Camera Relocalization on Dynamic Scenes.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

A Dynamically Weighted Loss Function for Unsupervised Image Segmentation.
Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

2021
Data warehouse for machine learning: application to breast cancer diagnosis.
Proceedings of the CENTERIS 2021 - International Conference on ENTERprise Information Systems / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021, 2021

2020
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction.
Neural Networks, 2020

A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection.
Eng. Appl. Artif. Intell., 2020

A Novel Dispersion Covariance-guided One-Class Support Vector Machines.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

A Low Inertia Guided Auto-Encoder for Anomaly Detection in Networks.
Proceedings of the 28th International Conference on Software, 2020

Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Securing Smart Homes using a Behavior Analysis based Authentication Approach.
Proceedings of the Eighth IEEE International Conference on Communications and Networking, 2020

2019
Human face detection improvement using incremental learning based on low variance directions.
Signal Image Video Process., 2019

A novel incremental one-class support vector machine based on low variance direction.
Pattern Recognit., 2019

An Adaptive Face Recognition System Based on a Novel Incremental Kernel Nonparametric Discriminant Analysis.
KSII Trans. Internet Inf. Syst., 2019

Incremental Subclass Support Vector Machine.
Int. J. Artif. Intell. Tools, 2019

Deep Clustering with a Dynamic Autoencoder.
CoRR, 2019

A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Anomaly-based Intrusion Detection Using Auto-encoder.
Proceedings of the 2019 International Conference on Software, 2019

Implicit and Continuous Authentication of Smart Home Users.
Proceedings of the Advanced Information Networking and Applications, 2019

2018
A Novel Image-Centric Approach Toward Direct Volume Rendering.
ACM Trans. Intell. Syst. Technol., 2018

A novel QoE model based on boosting support vector regression.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

A Novel Handwritten Digits Recognition Method based on Subclass Low Variances Guided Support Vector Machine.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

A novel incremental face recognition method based on nonparametric discriminant model.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

A Novel Online QoE Prediction Model Based on Multiclass Incremental Support Vector Machine.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

2017
A Novel Image-centric Approach Towards Direct Volume Rendering.
CoRR, 2017

One-class SVM for landmine detection and discrimination.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

A novel face recognition system base on nonparametric discriminant analysis.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Landmine detection improvement using one-class SVM for unbalanced data.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
Incremental One-Class Models for Data Classification.
CoRR, 2016

A Novel Incremental Covariance-Guided One-Class Support Vector Machine.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

RBF kernel based SVM classification for landmine detection and discrimination.
Proceedings of the International Image Processing, Applications and Systems, 2016

2015
A Novel Kernelized Classifier Based on the Combination of Partially Global and Local Characteristics.
Proceedings of the LWA 2015 Workshops: KDML, 2015

2014
SN-SVM: a sparse nonparametric support vector machine classifier.
Signal Image Video Process., 2014

Covariance-guided One-Class Support Vector Machine.
Pattern Recognit., 2014

Multiple Object Detection with Occlusion Using Active Contour Model and Fuzzy C-Mean.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Volume visualization using sparse nonparametric support vector machines and harmoniccolors.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A new efficient active contour model without local initializations for salient object detection.
EURASIP J. Image Video Process., 2013

Incorporating covariance information in one class support vector classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
A novel SVM+NDA model for classification with an application to face recognition.
Pattern Recognit., 2012

Combining partially global and local characteristics for improved classification.
Int. J. Mach. Learn. Cybern., 2012

A Sparse Support Vector Machine Classifier with Nonparametric Discriminants.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
A New KSVM + KFD Model for Improved Classification and Face Recognition.
J. Multim., 2011

2010
A novel Bayesian logistic discriminant model: An application to face recognition.
Pattern Recognit., 2010

A New SVM + NDA Model for Improved Classification and Recognition.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

A Novel Human Motion Recognition Method Based on Eigenspace.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

A new combined KSVM and KFD model for classification and recognition.
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

A novel eigenspace-based method for human action recognition.
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

2009
A Novel Bayesian Logistic Discriminant Model with Dirichlet Distributions: An Application to Face Recognition.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

An Efficient and Fast Active Contour Model for Salient Object Detection.
Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009

2008
Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

A Bayesian Kernel Logistic Discriminant Model: An Improvement to the Kernel Fisher's Discriminant.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection.
Proceedings of the IJCAI 2007, 2007

2006
Image Retrieval Based on Region Separation and Multiresolution Analysis.
Int. J. Wavelets Multiresolution Inf. Process., 2006

2004
Non-uniform Haar wavelets.
Appl. Math. Comput., 2004


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