Fahed Abdallah

Orcid: 0000-0002-9485-6787

According to our database1, Fahed Abdallah authored at least 61 papers between 2002 and 2025.

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

Timeline

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Bibliography

2025
Multi-view Deep Embedded Clustering: Exploring a new dimension of air pollution.
Eng. Appl. Artif. Intell., 2025

2024
One-step graph-based multi-view clustering via specific and unified nonnegative embeddings.
Int. J. Mach. Learn. Cybern., December, 2024

Multi-View Graph Neural Network for Semantic Image Segmentation.
Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

A Novel Unsupervised Approach for Accurate Epileptic Seizure Detection.
Proceedings of the 32nd European Signal Processing Conference, 2024

Cross-Site Generalization Using Attention Layer for Epileptic Seizure Detection.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
A self-attention model for cross-subject seizure detection.
Comput. Biol. Medicine, October, 2023

Cross-Site Generalization for Imbalanced Epileptic Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Consensus graph and spectral representation for one-step multi-view kernel based clustering.
Knowl. Based Syst., 2022

One-step multi-view spectral clustering with cluster label correlation graph.
Inf. Sci., 2022

Multi-view spectral clustering via constrained nonnegative embedding.
Inf. Fusion, 2022

Effect of Prior-based Losses on Segmentation Performance: A Benchmark.
CoRR, 2022

Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering.
Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

Data Cleaning to fine-tune a Transfer Learning approach for Air Quality Prediction.
Proceedings of the IEEE International Smart Cities Conference, 2022

Multi-view Spectral Clustering via Integrating Label and Data Graph Learning.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021
High-level prior-based loss functions for medical image segmentation: A survey.
Comput. Vis. Image Underst., 2021

A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
BB-UNet: U-Net With Bounding Box Prior.
IEEE J. Sel. Top. Signal Process., 2020

Learned versus Handcrafted Features for Person Re-identification.
Int. J. Pattern Recognit. Artif. Intell., 2020

Atrial fibrillation predictor with reject option using belief functions theory.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

2017
A multi-label cellular automata model for land change simulation.
Trans. GIS, 2017

Discriminant quaternion local binary pattern embedding for person re-identification through prototype formation and color categorization.
Eng. Appl. Artif. Intell., 2017

2016
Editing training data for multi-label classification with the k-nearest neighbor rule.
Pattern Anal. Appl., 2016

Discriminant sparse label-sensitive embedding: Application to image-based face pose estimation.
Eng. Appl. Artif. Intell., 2016

Exploiting color cues to improve person re-identification.
Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention, 2016

2015
Multi-label class assignment in land-use modelling.
Int. J. Geogr. Inf. Sci., 2015

2014
Object Tracking Using Adaptive Covariance Descriptor and Clustering-Based Model Updating for Visual Surveillance.
Sensors, 2014

Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors.
Sensors, 2014

Non Parametric Distributed Inference in Sensor Networks Using Box Particles Messages.
Math. Comput. Sci., 2014

Multiple land mines localization using a wireless sensor network.
Proceedings of the 17th International Conference on Information Fusion, 2014

Online learning partial least squares regression model for univariate response data.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
An Introduction to Box Particle Filtering [Lecture Notes].
IEEE Signal Process. Mag., 2013

Cascaded Generative and Discriminative Learning for Visual Tracking.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Adaptive covariance matrix for object region representation.
Proceedings of the Fifth International Conference on Digital Image Processing, 2013

Learning General Gaussian Kernel Hyperparameters for SVR.
Proceedings of the Geometric Science of Information - First International Conference, 2013

2012
Vehicle dynamics estimation using Box Particle Filter.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Purifying training data to improve performance of multi-label classification algorithms.
Proceedings of the 15th International Conference on Information Fusion, 2012

Evidential Multi-label Classification Using the Random k-Label Sets Approach.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
A Robust Localization Algorithm for Mobile Sensors Using Belief Functions.
IEEE Trans. Veh. Technol., 2011

A Multiple-Hypothesis Map-Matching Method Suitable for Weighted and Box-Shaped State Estimation for Localization.
IEEE Trans. Intell. Transp. Syst., 2011

Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold.
Pattern Recognit. Lett., 2011

A Dependent Multilabel Classification Method Derived from the k-Nearest Neighbor Rule.
EURASIP J. Adv. Signal Process., 2011

2010
State Estimation Using Interval Analysis and Belief-Function Theory: Application to Dynamic Vehicle Localization.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Representing uncertainty on set-valued variables using belief functions.
Artif. Intell., 2010

Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Fuzzy multi-label learning under veristic variables.
Proceedings of the FUZZ-IEEE 2010, 2010

Mixture of uniform probability density functions for non linear state estimation using interval analysis.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Anchor-based localization via interval analysis for mobile ad-hoc sensor networks.
IEEE Trans. Signal Process., 2009

An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification.
Proceedings of the Scalable Uncertainty Management, Third International Conference, 2009

A state estimation method for multiple model systems using belief function theory.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Box particle filtering for nonlinear state estimation using interval analysis.
Autom., 2008

Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

Map matching algorithm using belief function theory.
Proceedings of the 11th International Conference on Information Fusion, 2008

Multi-label classification algorithm derived from K-nearest neighbor rule with label dependencies.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
A New Estimation Method for Multisensor Fusion by using Interval Analysis and Particle Filtering.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Adapting Particle Filter on Interval Data for Dynamic State Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2007

2004
An improved training algorithm for nonlinear kernel discriminants.
IEEE Trans. Signal Process., 2004

A sequential approach for multi-class discriminant analysis with kernels.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Kernel second-order discriminants versus support vector machines.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Bayes-optimal detectors design using relevant second-order criteria.
IEEE Signal Process. Lett., 2002

On equivalence between detectors obtained from second-order measures of performance.
Proceedings of the 11th European Signal Processing Conference, 2002


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