Hadj Batatia
Présentation
I received my MSc and PhD in computer science in 1987 and 1992 from the University of Toulouse. 2, rue Charles Camichel
I worked as Lecturer at the University of Malaysia Sarawak from 1995 to 1997.
I also worked as Senior Lecturer in Media Technology at the school of science and technology in the University of Teesside (UK) from 1997 to 1999.
I am assistant professor in Computer Science at INPT , University of Toulouse since 1999.
I conduct my research within TCI team at the IRIT Laboratory.
I am heading the computer science department of CNAM Midi-Pyrenees.Contact
INP - ENSEEIHT Toulouse
B.P. 7122
31071 Toulouse Cedex 7
FRANCE Office: E130
Tel. +33534322168
email. hadj [dot] batatia [at] inp-toulouse [dot] fr
Publications
Publications
|
|
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⟩ |
|
|
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distributionInternational Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, United Kingdom. pp.1-5, ⟨10.1109/IJCNN48605.2020.9206862⟩ |
|
|
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⟩ |
|
|
Seizure Onset Detection in EEG Signals Based on Entropy from Generalized Gaussian PDF Modeling and Ensemble Bagging ClassifierInternational Conference on Digital Health Technologies (ICDHT 2018), Oct 2018, Sfax, Tunisia. pp.1-8 |
|
|
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 |
|
|
Statistical modeling and classification of reflectance confocal microscopy imagesIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Dec 2017, Curaçao, Netherlands Antilles. pp.1-5 |
|
|
A visual EEG epilepsy detection method based on a wavelet statistical representation and the kullback-leibler divergenceLatin American Congress on Biomedical Engineering, Oct 2016, Santander, Colombia. pp.13--16, ⟨10.1007/978-981-10-4086-3_4⟩ |
|
|
An unsupervised Bayesian approach for the joint reconstruction and classification of cutaneous reflectance confocal microscopy images25th European Signal and Image Processing Conference (EUSIPCO 2017), Aug 2017, Kos Island, Greece. pp.241--245, ⟨10.23919/EUSIPCO.2017.8081205⟩ |
|
|
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⟩ |
|
|
A Partially Collapsed Gibbs Sampler with Accelerated Convergence for EEG Source LocalizationIEEE Workshop on statistical signal processing (SSP 2016), Jun 2016, Palma de Mallorca, Spain. pp.1-5 |
|
|
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 |
|
|
PCA-based approach for inhomogeneous PSF estimation and partial volume correction in PETIEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD 2016), Oct 2016, Strasbourg, France. pp.1-3 |
|
|
Multivariate Bayesian classification of epilepsy EEG signals12th IEEE Workshop on Image, Video, and Multidimensional Signal Processing (IVMSP 2016), Jul 2016, Bordeaux, France. pp. 1-5 |
|
|
EEG source localization based on a structured sparsity prior and a partially collapsed Gibbs sampler6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), Dec 2015, Cancun, Mexico. pp.261-264 |
|
|
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⟩ |
|
|
Detection of onset in epilepsy signals using generalized Gaussian distribution5th International Conference on Advances in New Technologies, Interactive Interfaces and Communicability (ADNTIIC 2014), Nov 2014, Córdoba, Argentina. pp.1-8 |
|
|
Bayesian Spatiotemporal Segmentation of Combined PET-CT Data Using a Bivariate Poisson Mixture Model22rd European Signal and Image Processing Conference (EUSIPCO 2014), European Association for Signal Processing (EURASIP), Sep 2014, Lisbonne, Portugal. pp.1--6 |
|
|
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 |
Altitude control of a satellite using a feedback linearizationControl and Automation Conference 2013: Uniting Problems and Solutions, Jun 2013, Glasgow, United Kingdom. pp.ISBN: 978-1-84919-710-6, ⟨10.1049/cp.2013.0018⟩ |
|
|
|
TestDose : a SPECT image generator for clinical dosimetry studiesSPIE Medical Imaging 2013, SPIE : International Society for Optics and Photonics, Feb 2013, Orlando, United States. pp.1-7, ⟨10.1117/12.2007840⟩ |
|
|
Hybrid Sparse Regularization for Magnetic Resonance SpectroscopyIEEE Engineering in Medicine and Biology Society Conference - EMBC 2013, Jul 2013, Osaka, Japan. pp. 6768-6771 |
TestDose: a SPECT image generator for clinical dosimetry studiesSPIE Medical Imaging 2013, SPIE, Feb 2013, Orlando, United States. pp.86684V, ⟨10.1117/12.2007840⟩ |
|
|
|
Correction de mouvement respiratoire en TDM-4D par interpolation bidirectionnelle pondéréeRFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3 |
Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture modelInternational Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), IEEE, May 2011, Prague, Czech Republic. pp.729--732, ⟨10.1109/ICASSP.2011.5946507⟩ |
|
Segmentation of high frequency ultrasound images using a spatially coherent generalized Rayleigh mixture model19th European Signal and Image Processing Conference (EUSIPCO 2011), European Association for Signal Processing (EURASIP); Centre Tecnològic de Telecomunicacions de Catalunya (CTTC); Universitat Politècnica de Catalunya (UPC), Aug 2011, Barcelona, Spain. pp.664--668 |
|
Bayesian segmentation of chest tumors in PET Scans using a Poisson-Gamma mixture modelIEEE Workshop on Statistical Signal Processing (2011), IEEE, Jun 2011, Nice, France. pp.809--812, ⟨10.1109/SSP.2011.5967828⟩ |
|
|
|
Un modèle de mélange de lois Rayleigh généralisées pour la classification des échographies cutanées23ème Colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2011), Sep 2011, Bordeaux, France. pp.837-840 |
|
|
Optimisation des opérations de contrôle des passagers dans une aérogareROADEF 2011, 12ème congrès annuel de la Société française de Recherche Opérationnelle et d'Aide à la Décision, Mar 2011, St-Etienne, France |
|
|
Discrete wavelet for multifractal texture classification: application to medical ultrasound imagingIEEE International Conference on Image Processing (ICIP 2010), IEEE Signal Processing Society, Sep 2010, Hong Kong, China. pp.637--640, ⟨10.1109/ICIP.2010.5650017⟩ |
|
|
Compensation du mouvement respiratoire dans les images TEPORASIS'09 - Congrès des jeunes chercheurs en vision par ordinateur, 2009, Trégastel, France, France |
|
|
A Tool Set Combining Learning Styles Prediction, a Blended Learning Methodology and Facilitator Guidebooks – Towards a Best Mix in Blended LearningConference ICL2007, September 26 -28, 2007, 2007, Villach, Austria. 8 p |
|
|
Un modèle Bayésien de mélange de lois Poisson-Gamma pour segmenter des images TEPReconnaissance des Formes et Intelligence Artificielle (RFIA 2012), Jan 2012, Lyon, France. Actes de la conférence RFIA 2012, 2012 |
Exploiting MRSI data properties to improve quanticationMassoptier, Laurent; Song, Yu. Multimodal imaging towards individualized radiotherapy treatments, 9, AQUILAB Lille, pp.63--68, 2014 |
|
Magnetic resonance spectroscopic data processingMassoptier, Laurent; Viard, Romain. Innovative imaging to improve radiotherapy treatments, 15, Lulu Enterprises Inc, pp.91--96, 2014, 978-1291604177 |
|
|
KP-LAB Knowledge Practices Laboratory -- Release of end-user tools2010 |
|
|
KP-LAB Knowledge Practices Laboratory -- External release of end-user applications2008 |
|
|
KP-LAB Knowledge Practices Laboratory -- Cooperative Real-Time Communication and Multimedia Management Release 12007 |
|
|
KP-LAB Knowledge Practices Laboratory -- Guidelines and models on implementing design principles of KP-Lab, application scenarios and best practices v22007 |
|
|
KP-LAB Knowledge Practices Laboratory -- Specification of the shared space for knowledge practices software -release 12006 |
|
|
A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling2016 |
|
|
Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture modelIRIT--2011, IRIT : Institut en Recherche Informatique de Toulouse, France. 2011 |