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Fahed Abdallah
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2020 – today
- 2025
- [j28]Hassan Kassem, Sally El Hajjar, Fahed Abdallah, Hichem Omrani:
Multi-view Deep Embedded Clustering: Exploring a new dimension of air pollution. Eng. Appl. Artif. Intell. 139: 109509 (2025) - 2024
- [j27]Sally El Hajjar, Fahed Abdallah, Hichem Omrani, Alain Khaled Chaaban, Muhammad Arif, Ryan Alturki, Mohammed J. AlGhamdi:
One-step graph-based multi-view clustering via specific and unified nonnegative embeddings. Int. J. Mach. Learn. Cybern. 15(12): 5807-5822 (2024) - [c32]Tala Abdallah, Nisrine Jrad, Sally El Hajjar, Fahed Abdallah, Anne Humeau-Heurtier, Patrick Van Bogaert:
A Novel Unsupervised Approach for Accurate Epileptic Seizure Detection. EUSIPCO 2024: 1426-1430 - [c31]Tala Abdallah, Nisrine Jrad, Fahed Abdallah, Anne Humeau-Heurtier, Eliane El-Howayek, Patrick Van Bogaert:
Cross-Site Generalization Using Attention Layer for Epileptic Seizure Detection. EUSIPCO 2024: 1571-1575 - [c30]Elie Karam, Nisrine Jrad, Patty Coupeau, Jean-Baptiste Fasquel, Fahed Abdallah:
Multi-View Graph Neural Network for Semantic Image Segmentation. IPTA 2024: 1-6 - 2023
- [j26]Tala Abdallah, Nisrine Jrad, Fahed Abdallah, Anne Humeau-Heurtier, Patrick Van Bogaert:
A self-attention model for cross-subject seizure detection. Comput. Biol. Medicine 165: 107427 (2023) - [c29]Tala Abdallah, Nisrine Jrad, Fahed Abdallah, Anne Humeau-Heurtier, Patrick Van Bogaert:
Cross-Site Generalization for Imbalanced Epileptic Classification. ICASSP 2023: 1-5 - 2022
- [j25]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah:
Multi-view spectral clustering via constrained nonnegative embedding. Inf. Fusion 78: 209-217 (2022) - [j24]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah:
One-step multi-view spectral clustering with cluster label correlation graph. Inf. Sci. 592: 97-111 (2022) - [j23]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah, Nagore Barrena:
Consensus graph and spectral representation for one-step multi-view kernel based clustering. Knowl. Based Syst. 241: 108250 (2022) - [c28]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah, Hichem Omrani:
Multi-view Spectral Clustering via Integrating Label and Data Graph Learning. ICIAP (3) 2022: 109-120 - [c27]Marie Njaime, Fahed Abdallah Olivier, Hichem Snoussi, Judy Akl, Charbel Chahla, Hichem Omrani:
Data Cleaning to fine-tune a Transfer Learning approach for Air Quality Prediction. ISC2 2022: 1-5 - [c26]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah:
Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering. SADASC 2022: 3-16 - [i2]Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah:
Effect of Prior-based Losses on Segmentation Performance: A Benchmark. CoRR abs/2201.02428 (2022) - 2021
- [j22]Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah:
High-level prior-based loss functions for medical image segmentation: A survey. Comput. Vis. Image Underst. 210: 103248 (2021) - [c25]Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah:
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. MIDL 2021: 158-167 - 2020
- [j21]C. Chahla, Hichem Snoussi, Fahed Abdallah, Fadi Dornaika:
Learned versus Handcrafted Features for Person Re-identification. Int. J. Pattern Recognit. Artif. Intell. 34(4): 2055009:1-2055009:19 (2020) - [j20]Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah:
BB-UNet: U-Net With Bounding Box Prior. IEEE J. Sel. Top. Signal Process. 14(6): 1189-1198 (2020) - [c24]Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah:
Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. IPTA 2020: 1-5 - [c23]Mohamed Mroueh, Farah Mourad-Chehade, Fahed Abdallah:
Atrial fibrillation predictor with reject option using belief functions theory. MeMeA 2020: 1-6 - [i1]Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah:
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. CoRR abs/2011.08018 (2020)
2010 – 2019
- 2017
- [j19]C. Chahla, Hichem Snoussi, Fahed Abdallah, Fadi Dornaika:
Discriminant quaternion local binary pattern embedding for person re-identification through prototype formation and color categorization. Eng. Appl. Artif. Intell. 58: 27-33 (2017) - [j18]Omar Charif, Hichem Omrani, Fahed Abdallah, Bryan C. Pijanowski:
A multi-label cellular automata model for land change simulation. Trans. GIS 21(6): 1298-1320 (2017) - 2016
- [j17]Fadi Dornaika, Charbel Chahla, Fawzi Khattar, Fahed Abdallah, Hichem Snoussi:
Discriminant sparse label-sensitive embedding: Application to image-based face pose estimation. Eng. Appl. Artif. Intell. 50: 168-176 (2016) - [j16]Sawsan Kanj, Fahed Abdallah, Thierry Denoeux, Kifah Tout:
Editing training data for multi-label classification with the k-nearest neighbor rule. Pattern Anal. Appl. 19(1): 145-161 (2016) - [c22]Charbel Chahla, Hichem Snoussi, Fahed Abdallah, Fadi Dornaika:
Exploiting color cues to improve person re-identification. ICDP 2016: 1-3 - 2015
- [j15]Hichem Omrani, Fahed Abdallah, Omar Charif, Nicholas T. Longford:
Multi-label class assignment in land-use modelling. Int. J. Geogr. Inf. Sci. 29(6): 1023-1041 (2015) - 2014
- [j14]Hiba Haj Chhadé, Amadou Gning, Fahed Abdallah, Imad Mougharbel, Simon Julier:
Non Parametric Distributed Inference in Sensor Networks Using Box Particles Messages. Math. Comput. Sci. 8(3-4): 455-478 (2014) - [j13]Lei Qin, Hichem Snoussi, Fahed Abdallah:
Object Tracking Using Adaptive Covariance Descriptor and Clustering-Based Model Updating for Visual Surveillance. Sensors 14(6): 9380-9407 (2014) - [j12]Hiba Haj Chhadé, Fahed Abdallah, Imad Mougharbel, Amadou Gning, Simon Julier, Lyudmila Mihaylova:
Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors. Sensors 14(11): 21000-21022 (2014) - [c21]Lei Qin, Hichem Snoussi, Fahed Abdallah:
Online learning partial least squares regression model for univariate response data. EUSIPCO 2014: 1073-1077 - [c20]Hiba Haj Chhadé, Fahed Abdallah, Imad Mougharbel, Amadou Gning, Lyudmila Mihaylova, Simon Julier:
Multiple land mines localization using a wireless sensor network. FUSION 2014: 1-7 - 2013
- [j11]Amadou Gning, Branko Ristic, Lyudmila Mihaylova, Fahed Abdallah:
An Introduction to Box Particle Filtering [Lecture Notes]. IEEE Signal Process. Mag. 30(4): 166-171 (2013) - [c19]Fahed Abdallah, Hichem Snoussi, Hicham Laanaya, Régis Lengellé:
Learning General Gaussian Kernel Hyperparameters for SVR. GSI 2013: 677-684 - [c18]Lei Qin, Hichem Snoussi, Fahed Abdallah:
Adaptive covariance matrix for object region representation. ICDIP 2013: 887848 - [c17]Lei Qin, Hichem Snoussi, Fahed Abdallah:
Cascaded Generative and Discriminative Learning for Visual Tracking. ICIAR 2013: 397-406 - 2012
- [c16]Sawsan Kanj, Fahed Abdallah, Thierry Denoeux:
Evidential Multi-label Classification Using the Random k-Label Sets Approach. Belief Functions 2012: 21-28 - [c15]Sawsan Kanj, Fahed Abdallah, Thierry Denoeux:
Purifying training data to improve performance of multi-label classification algorithms. FUSION 2012: 1784-1791 - [c14]Hoda Dandach, Fahed Abdallah, Jérôme De Miras, Ali Charara:
Vehicle dynamics estimation using Box Particle Filter. ICARCV 2012: 118-123 - 2011
- [j10]Zoulficar Younes, Fahed Abdallah, Thierry Denoeux, Hichem Snoussi:
A Dependent Multilabel Classification Method Derived from the k-Nearest Neighbor Rule. EURASIP J. Adv. Signal Process. 2011 (2011) - [j9]Hicham Laanaya, Fahed Abdallah, Hichem Snoussi, Cédric Richard:
Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold. Pattern Recognit. Lett. 32(13): 1511-1515 (2011) - [j8]Fahed Abdallah, Ghalia Nassreddine, Thierry Denoeux:
A Multiple-Hypothesis Map-Matching Method Suitable for Weighted and Box-Shaped State Estimation for Localization. IEEE Trans. Intell. Transp. Syst. 12(4): 1495-1510 (2011) - [j7]Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard:
A Robust Localization Algorithm for Mobile Sensors Using Belief Functions. IEEE Trans. Veh. Technol. 60(4): 1799-1811 (2011) - 2010
- [j6]Thierry Denoeux, Zoulficar Younes, Fahed Abdallah:
Representing uncertainty on set-valued variables using belief functions. Artif. Intell. 174(7-8): 479-499 (2010) - [j5]Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux:
State Estimation Using Interval Analysis and Belief-Function Theory: Application to Dynamic Vehicle Localization. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1205-1218 (2010) - [c13]Amadou Gning, Lyudmila Mihaylova, Fahed Abdallah:
Mixture of uniform probability density functions for non linear state estimation using interval analysis. FUSION 2010: 1-8 - [c12]Zoulficar Younes, Fahed Abdallah, Thierry Denoeux:
Fuzzy multi-label learning under veristic variables. FUZZ-IEEE 2010: 1-8 - [c11]Zoulficar Younes, Fahed Abdallah, Thierry Denoeux:
Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels. IPMU 2010: 119-128
2000 – 2009
- 2009
- [j4]Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard:
Anchor-based localization via interval analysis for mobile ad-hoc sensor networks. IEEE Trans. Signal Process. 57(8): 3226-3239 (2009) - [c10]Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux:
A state estimation method for multiple model systems using belief function theory. FUSION 2009: 506-513 - [c9]Zoulficar Younes, Fahed Abdallah, Thierry Denoeux:
An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification. SUM 2009: 297-308 - 2008
- [j3]Fahed Abdallah, Amadou Gning, Philippe Bonnifait:
Box particle filtering for nonlinear state estimation using interval analysis. Autom. 44(3): 807-815 (2008) - [c8]Zoulficar Younes, Fahed Abdallah, Thierry Denoeux:
Multi-label classification algorithm derived from K-nearest neighbor rule with label dependencies. EUSIPCO 2008: 1-5 - [c7]Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux:
Map matching algorithm using belief function theory. FUSION 2008: 1-8 - [c6]Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard:
Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques. GLOBECOM 2008: 415-419 - 2007
- [c5]Fahed Abdallah, Amadou Gning, Philippe Bonnifait:
Adapting Particle Filter on Interval Data for Dynamic State Estimation. ICASSP (2) 2007: 1153-1156 - [c4]Amadou Gning, Fahed Abdallah, Philippe Bonnifait:
A New Estimation Method for Multisensor Fusion by using Interval Analysis and Particle Filtering. ICRA 2007: 3844-3849 - 2004
- [j2]Fahed Abdallah, Cédric Richard, Régis Lengellé:
An improved training algorithm for nonlinear kernel discriminants. IEEE Trans. Signal Process. 52(10): 2798-2806 (2004) - [c3]Fahed Abdallah, Cédric Richard, Régis Lengellé:
A sequential approach for multi-class discriminant analysis with kernels. ICASSP (5) 2004: 453-456 - 2003
- [c2]Fahed Abdallah, Cédric Richard, Régis Lengellé:
Kernel second-order discriminants versus support vector machines. ICASSP (6) 2003: 149-152 - 2002
- [j1]Cédric Richard, Régis Lengellé, Fahed Abdallah:
Bayes-optimal detectors design using relevant second-order criteria. IEEE Signal Process. Lett. 9(1): 32-33 (2002) - [c1]Fahed Abdallah, Cédric Richard, Régis Lengellé:
On equivalence between detectors obtained from second-order measures of performance. EUSIPCO 2002: 1-4
Coauthor Index
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last updated on 2024-12-23 19:34 CET by the dblp team
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