Lotfi Chaari
Publications
Publications
TRACT : A Transformer and Statistical Framework for Anomaly Detection in Multivariate Non-stationary Time Seriesthe 18th International Conference on Agents and Artificial Intelligence, Mar 2026, Marbella, Spain |
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A Multi-LLM Agent System for Modular Ontology Population: A Case Study on ADHDInternational Conference on Agents and Artificial Intelligence (ICAART 2026), Mar 2026, Marbella, Spain |
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A Hybrid Deep Learning and Ontology-Based Framework for Contextual Hyperactivity Detection in Children with ADHD14th International Conference on Model and Data Engineering (MEDI 2025), Nov 2025, CAIRE, Egypt |
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A Semantic Framework for the Contextual Interpretation of ADHD Symptom ManifestationsThe Thirteenth International Conference on Knowledge Capture (K-CAP 2025), Dec 2025, Dayton, Ohio, United States. pp.119-122, ⟨10.1145/3731443.3771356⟩ |
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AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials2025 IEEE International Conference on Content-Based Multimedia Indexing (CBMI 2025), Oct 2025, Dublin, Ireland |
Inférence bayésienne pour l'estimation des paramètres des erreurs de reconstruction à l'aide d'une distribution gamma multivariéeXXXe Colloque Francophone de Traitement du Signal et des Images (GRETSI’25), Aug 2025, STRASBOURG, France |
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Attack originality detector using machine learningAttack originality detector using machine learning, Feb 2025, Bologna, Italy |
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SENET-D: Efficient Semantic Segmentation for RGB-Depth food images34th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), MLSP Technical Committee of the IEEE Signal Processing Society, Sep 2024, London, United Kingdom. à paraître |
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BAYESIAN SPARSE MODEL FOR COMPLEX-VALUED MAGNETIC RESONANCE SPECTROSCOPY RESTORATION2024 IEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece. ⟨10.1109/ISBI56570.2024.10635294⟩ |
MDE in the Era of Generative AIInternational Conference on Verification and Evaluation of Computer and Communication Systems, Oct 2024, Djerba, Tunisia. pp.113-127, ⟨10.1007/978-3-031-85356-2_8⟩ |
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Fully automatic Bayesian method for trainable activation function and deep neural networks32nd European Signal Processing Conference (EUSIPCO 2024), EURASIP: European Association for Signal Processing, Aug 2024, Lyon, France. pp.1551--1555 |
A cross-validation approach for classifying physical activity intensity: a case study in children with attention deficit/hyperactivity disorder20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2023), IEEE, Dec 2023, Giza, Egypt. pp.1-8, ⟨10.1109/AICCSA59173.2023.10479317⟩ |
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Robust analysis and spectral-based deep learning to detect driving fatigue from EEG signalsInternational Conference on Technology Innovations for Healthcare (ICTIH 2022), Sep 2022, Magdeburg, Germany. pp.1-6, ⟨10.1109/ICTIH57289.2022.10111943⟩ |
How AI can advance MDE ?3rd International Conference on Intelligent Systems and Pattern Recognition (ISPR 2023), May 2023, Hammamet, Tunisia. à paraître |
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Early mild cognitive impairment detection using cognitive-motor tasks and machine learningInternational Conference on Innovations in Intelligent Systems and Applications (INISTA 2023), Sep 2023, Hammamet, Tunisia. pp.1-6, ⟨10.1109/INISTA59065.2023.10310653⟩ |
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New MCI Detection Method Based on Transformer and EEG Data31st European Signal Processing Conference (EUSIPCO 2023), Sep 2023, Helsinki, Finland. pp.1200-1204, ⟨10.23919/EUSIPCO58844.2023.10290024⟩ |
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A machine learning technique for device non-wear detection in children with ADHDInternational Workshop on Health Informatics @ AICCSA 2023: IT Innovations and Disruptive Approaches in the Digital Health Era (HOPE 2023), ACS/IEEE International Conference on Computer Systems and Applications, Dec 2023, Giza, Egypt |
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MCI identification based on EEG signals during a cognitive testInternational Conference on Technology Innovations for Healthcare (ICTIH 2022), Sep 2022, Magdeburg, Germany. pp.68-73, ⟨10.1109/ICTIH57289.2022.10112022⟩ |
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Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks19th International Symposium on Biomedical Imaging (ISBI 2022), IEEE Signal Processing Society (SPS); IEEE Engineering in Medicine and Biology Society (EMBS), Mar 2022, Kolkata, India. pp.1-4, ⟨10.1109/ISBI52829.2022.9761469⟩ |
Physiological/Non-physiological artifacts classification using EEG signals based on CNN2022 International Conference on Technology Innovations for Healthcare (ICTIH), Sep 2022, Magdeburg, France. pp.26-29, ⟨10.1109/ICTIH57289.2022.10112088⟩ |
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Bayesian optimization for artificial neural networks: application to Covid-19 image classification2022 International Conference on Technology Innovations for Healthcare (ICTIH), Sep 2022, Magdeburg, France. pp.34-37, ⟨10.1109/ICTIH57289.2022.10112015⟩ |
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Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks20th International Symposium on Symposium on Intelligent Data Analysis (IDA 2022), Apr 2022, Rennes, France. pp.78-88, ⟨10.1007/978-3-031-01333-1_7⟩ |
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Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland |
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EEG-based Hypo-vigilance detection using convolutional neural network18th International Conference Smart Homes and Health Telematics (ICOST 2020), Jun 2020, Hammamet, Tunisia. pp.69-78 |
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Lentigo detection using a deep learning approachInternational Conference On Smart Living and Public Health (ICOST 2020), Jun 2020, Hammamet, Tunisia. pp.1-5, ⟨10.1007/978-3-030-51517-1_8⟩ |
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Joint Bayesian Hyperspectral Unmixing for change detectionMediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS 2020), Mar 2020, Tunis, Tunisia. pp.37-40, ⟨10.1109/M2GARSS47143.2020.9105275⟩ |
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A sleep monitoring method with EEG signalsInternational Conference on Digital Health Technologies (ICDHT), Dec 2019, Hammamet, Tunisia. pp.1-8 |
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A Plug and Play Bayesian Algorithm for Solving Myope Inverse Problems26th European Signal and Image Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy. pp.737-741 |
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Sparse Bayesian pMRI Reconstruction With Complex Bernoulli-Laplace Mixture Priors4th IEEE Middle East Conference on Biomedical Engineering (MECBME 2018), Mar 2018, Tunis, Tunisia. pp.193-197 |
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Robust lane Extraction using Two-Dimension Declivity17th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Jun 2018, Zakopane, Poland. pp.14-24, ⟨10.1007/978-3-319-91262-2_2⟩ |
Bayesian compressed sensing for IoT : application to EEG recording1st International Conference on Digital Health Technologies - ICDHT 2018, Oct 2018, Sfax, Tunisia. pp.53-60 |
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A general non-smooth Hamiltonian Monte Carlo scheme using Bayesian proximity operator calculation25th European Signal and Image Processing Conference (EUSIPCO 2017), European Association for Signal Processing (EURASIP), Aug 2017, Kos Island, Greece. pp.1220-1224, ⟨10.23919/EUSIPCO.2017.8081402⟩ |
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Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques14th International Conference on Space Operations (SpaceOps 2016), May 2016, Daejeon, South Korea. pp. 1 |
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MRSI data unmixing using spatial and spectral priors in transformed domains13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), Apr 2016, Prague, Czech Republic. pp. 952-955 |
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Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI7th International Conference on Medical Imaging and Augmented Reality (MIAR 2016), Aug 2016, Bern, Switzerland. pp. 247-258 |
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Multi-subject joint parcellation detection estimation in functional MRI13th IEEE International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic. pp.74-77, ⟨10.1109/ISBI.2016.7493214⟩ |
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Probability map prediction of relapse areas in glioblastoma patients using multi-parametric MRESTRO 35 Radiotherapy and Oncology, Apr 2016, Turin, Italy. pp.S226-S227 |
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Sparse signal recovery using a Bernoulli generalized Gaussian priorEUSIPCO 2015 23rd European Signal Processing Conference, Aug 2015, Nice, France. ⟨10.1109/EUSIPCO.2015.7362676⟩ |
Model Selection for Hemodynamic Brain Parcellation in fMRIEUSIPCO - 22nd European Signal Processing Conference, Sep 2014, Lisbon, Portugal. pp.31 - 35 |
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Sparse Bayesian Image Restoration with Linear Operator Uncertainties with Application to EEG Signal Recovery2nd IEEE Middle East Conference on Biomedical Engineering (MECBME 2014), Feb 2014, Doha, Qatar. pp.139--142, ⟨10.1109/MECBME.2014.6783225⟩ |
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A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularizationIEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2014, May 2014, Florence, Italy. pp. 1901-1905 |
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Hybrid Sparse Regularization for Magnetic Resonance SpectroscopyIEEE Engineering in Medicine and Biology Society Conference - EMBC 2013, Jul 2013, Osaka, Japan. pp. 6768-6771 |
Parcel-free Joint Detection-Estimation in fMRI44e Journées de Statistique, Société Française de Statistique, May 2012, Bruxelles, Belgium |
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Sélection de variables dans un cadre Bayésien de traitement de données d'IRM fonctionnelle44e Journées de Statistique, Société Française de Statistique, May 2012, Bruxelles, Belgique |
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Hemodynamic-informed parcellation of fMRI data in a Joint Detection Estimation frameworkMICCAI 2012 - 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, Oct 2012, Nice, France. pp.180-188, ⟨10.1007/978-3-642-33454-2_23⟩ |
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Adaptive experimental condition selection in event-related fMRIISBI 2012 - IEEE International Symposium on Biomedical Imaging, May 2012, Barcelone, Spain. pp.1755-1758, ⟨10.1109/ISBI.2012.6235920⟩ |
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Robust voxel-wise Joint Detection Estimation of Brain Activity in fMRIICIP 2012 - 19th IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. pp.1273-1276, ⟨10.1109/ICIP.2012.6467099⟩ |
A Variational Bayesian approach for the Joint Detection Estimation of Brain Activity in functional MRI43èmes Journées de Statistique, Société Française de Statistique (SFdS), May 2011, Tunis, Tunisia |
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Bayesian variational approximation for the joint detection estimation of brain activity in fMRISSP 2011 - IEEE Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.469-472, ⟨10.1109/SSP.2011.5967734⟩ |
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Variational solution to the joint detection estimation of brain activity in fMRIMICCAI 2011 - 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2011, Toronto, Canada. pp.260-268, ⟨10.1007/978-3-642-23629-7_32⟩ |
A hierarchical Bayesian model for frame representationIEEE International Conference Acoustics, Speech, and Signal (ICASSP), Mar 2010, Dallas, USA, France. pp.4086-4089 |
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Minimization of a sparsity promoting criterion for the recovery of complex-valued signalsSPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Inria Rennes - Bretagne Atlantique, Apr 2009, Saint Malo, France |
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Solving inverse problems with overcomplete transforms and convex optimization techniquesSPIE, Aug 2009, San Diego, California, United States |
Performance of three parallel MRI reconstruction methods in the presence of coil sensitivity map errorsPoster session of International Society for Magnetic Resonance in Medicine Meeting (ISMRM'10), Apr 2010, France. pp.1, 2010 |
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Wavelet based parallel MRI regularization using bivariate sparsity promoting priorsPoster session of IEEE International Conference on Image Processing (ICIP'09), 2009, France. 10pp., 2009 |
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Digital Health Approach for Predictive, Preventive, Personalised and Participatory MedicineSpringer, 10, pp.XVI, 88, 2019, Advances in Predictive, Preventive and Personalised Medicine, 978-3-030-11799-3. ⟨10.1007/978-3-030-11800-6⟩ |
Consolidated Clinical Document Architecture: Analysis and Evaluation to Support the Interoperability of Tunisian Health SystemsDigital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine, 10, Springer International Publishing, pp.43-52, 2019, Advances in Predictive, Preventive and Personalised Medicine (APPPM), 978-3-030-11799-3. ⟨10.1007/978-3-030-11800-6_5⟩ |
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Joint Detection-Estimation in Functional MRIJean-François Giovannelli; Jérôme Idier. Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing, John Wiley and Sons, pp.169-200, 2015, 978-1-84821-637-2. ⟨10.1002/9781118827253.ch7⟩ |
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Exploiting MRSI data properties to improve quanticationMassoptier, Laurent; Song, Yu. Multimodal imaging towards individualized radiotherapy treatments, 9, AQUILAB Lille, pp.63--68, 2014 |
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Magnetic resonance spectroscopic data processingMassoptier, Laurent; Viard, Romain. Innovative imaging to improve radiotherapy treatments, 15, Lulu Enterprises Inc, pp.91--96, 2014, 978-1291604177 |
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Détection-estimation conjointe en IRM fonctionnelleJean-François Giovannelli and Jérôme Idier. Méthodes d'inversion appliquées au traitement du signal et de l'image, Hermès, 2013 |
Method for performing parallel magnetic resonance imagingFrance, Patent n° : PCT/IB2011/002330. 2012 |
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Spatio-temporal regularized reconstruction for parallel MRI acquisition systemsFrance, Patent n° : PCT/IB2011/002330. 2012 |
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Mild cognitive impairment detection based on EEG and HRV data2024 |
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Hemodynamic Brain Parcellation Using A Non-Parametric Bayesian Approach2016 |
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A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling2016 |
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Subject-level Joint Parcellation-Detection-Estimation in fMRI2016 |
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Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework2015 |
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Parallel magnetic resonance imaging reconstruction problems using wavelet representationsModeling and Simulation. Université Paris-Est, 2010. English. ⟨NNT : 2010PEST1010⟩ |