Publications

Journal papers

R. Rahali, N. Dridi, Y. B. Salem, X. Descombes, E. Debreuve, F. De Graeve, and H. Dahman, "Biological image segmentation using region-scalable fitting energy with B-spline level set implementation and watershed," IRBM, March 2022. doi:10.1016/j.irbm.2022.02.005
R. Rahali, Y. B. Salem, N. Dridi, and H. Dahman, "New foreground markers for Drosophila cell segmentation using Marker Controlled Watershed," IJECE, accepted Jan. 2022.
N. Dridi and M. Hadzagic, "Akaike and Bayesian Information Criteria in Hidden Markov Models," IEEE Signal Processing Letters, vol. 26, pp. 302–306, Feb. 2019. doi:10.1109/LSP.2018.2886933
N. Dridi, A. Giremus, J.-F. Giovannelli, C. Truntzer, M. Hadzagic, J.-P. Charrier, L. Gerfault, P. Ducoroy, B. Lacroix, P. Grangeat, and P. Roy, "Bayesian inference for biomarker discovery in proteomics: An analytic solution," EURASIP Journal on Bioinformatics and Systems Biology, vol. 2017, no. 9, Dec. 2017. doi:10.1186/s13637-017-0062-4
N. Dridi, Y. Delignon, and W. Sawaya, "Critères BIC et AIC pour les chaînes de Markov cachées. Application aux communications numériques," European Journal of Electrical Engineering, vol. 31, pp. 383–400, Dec. 2014. doi:10.3166/TS.31.383-400
N. Dridi, Y. Delignon, W. Sawaya, and C. Garnier, "Blind estimation of a double Markov process. Application to communication through a long memory channel," Digital Signal Processing, vol. 29, pp. 117–126, June 2014. doi:10.1016/j.dsp.2014.02.016

International conferences


R. Hoblos, N. Dridi, N. Zerhouni, and Z. Al Masry, "An uncertainty quantification method based on evidence theory and conformal prediction," 33rd European Signal Processing Conf. (EUSIPCO), 2025
M. Benaissa, N. Dridi, J.-M. Nicod, and G. Da-Costa, "Sensitivity analysis for sizing standalone green datacenters," 11th Int. Conf. on Sensitivity Analysis of Model Output, Grenoble, France, Apr. 23–25, 2025
N. Dridi, L. Boffelli, and Z. Al Masry, "Uncertainty quantification using Bayesian neural networks," 4th Workshop on Frontiers of Uncertainty Quantification, Braunschweig, Germany, Sept. 24–27, 2024
N. Dridi, L. Drumetz, and R. Fablet, "Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme," European Signal Processing Conf. (EUSIPCO), Aug. 23–27, 2021
R. Rahali, Y. Ben Salem, N. Dridi, and H. Dahman, "B-spline level set for Drosophila image segmentation," IEEE Int. Conf. on Image Processing (ICIP), United Arab Emirates, Oct. 2020. doi:10.1109/ICIP40778.2020.9191177
R. Rahali, Y. Ben Salem, N. Dridi, and H. Dahman, "Drosophila image segmentation using marker controlled watershed," IEEE Int. Conf. on Systems, Signals and Devices (SSD), July 2020
N. Dridi, A. Giremus, J.-F. Giovannelli, C. Truntzer, P. Roy, L. Gerfaut, J.-P. Charrier, P. Ducoroy, C. Mercier, and P. Grangeat, "Variable selection for noisy data applied in proteomics," IEEE ICASSP, Florence, Italy, pp. 2833–2837, May 2014. doi:10.1109/ICASSP.2014.6854117
F. Adjed, J.-F. Giovannelli, A. Giremus, N. Dridi, and P. Szacherski, "Variable selection for a mixed population applied in proteomics," IEEE ICASSP, Vancouver, Canada, pp. 1153–1157, May 2013. doi:10.1109/ICASSP.2013.6637831
N. Dridi, Y. Delignon, W. Sawaya, and C. Garnier, "EM-based joint symbol and blur estimation for 2D barcode," 7th IEEE ISPA, Dubrovnik, Croatia, pp. 32–36, Sep. 2011
N. Dridi, Y. Delignon, W. Sawaya, and F. Septier, "1D barcode blind detection in severe environment," IEEE GLOBECOM, Miami, FL, USA, Dec. 2010. doi:10.1109/GLOCOM.2010.5684145


National conferences


R. Hoblos, N. Dridi, N. Zerhouni, and Z. Al Masry, "Dirichlet-based Monte Carlo dropout for uncertainty estimation in neural networks," 56es Journées de Statistique de la SFdS, Marseille, France, June 2–6, 2024
N. Dridi, L. Drumetz, A. Hirvoas, and R. Ribault, "Uncertainty evaluation of neural network predictions of the motion of the floating platform of an offshore wind turbine," Colloque GRETSI, Août 2023
N. Dridi, J.-F. Giovannelli, and A. Giremus, "Sélection bayésienne de biomarqueurs – application à un problème de protéomique," Colloque GRETSI, Sept. 2013
N. Dridi, Y. Delignon, and W. Sawaya, "Sélection de modèles pour les chaînes de Markov cachées," International Workshop TAIMA, Hammamet, Tunisia, May 2013
N. Dridi, Y. Delignon, W. Sawaya, and C. Garnier, "Estimation du flou et détection de symboles pour les codes graphiques 2D," International Workshop TAIMA, Hammamet, Tunisia, Oct. 2011
M. Ould Barikalla, N. Dridi, W. Sawaya, and Y. Delignon, "Algorithme itératif à faible complexité pour la détection des codes graphiques 2D," International Workshop TAIMA, Hammamet, Tunisia, May 2009