Journals:

  1. D. Yapi, M.S. Allili and N. Baaziz. Fabric Defect Detection Using Learning-Based Local Textural Distributions in the Contourlet Domain. IEEE Trans. on Automation Science and Engineering , 2018. (PDF)
  2. A. Boulmerka and M.S. Allili. Foreground Segmentation in Videos Combining General Gaussian Mixture Modeling and Spatial Information. IEEE Trans. on Circuits & Systems for Video Technology , 2018. (PDF)
  3. O. Ouyed and M.S. Allili. Feature Weighting for Multinomial Kernel Logistic Regression and Application to Action Recognition. Neurocomputing , 275: 1752-1768, 2018. (PDF)
  4. S. Bacha, M.S. Allili and N. Benblidia. Event Recognition in Photo Albums using Probabilistic Graphical Models and Feature Relevance. J. of Visual Communication and Image Representation, (40):546-558, 2016. (PDF)
  5. I. Filali, M.S. Allili and N. Benblidia. Multi-Scale Salient Object Detection in Images using Graph Ranking and Global-Local Saliency Refinement. Signal Processing: Image Communication (2016), (47):380-401, 2016. (PDF)
  6. M.S. Allili and D. Ziou. Likelihood-Based Feature Relevance for Figure-Ground Segmentation in Images and Videos. Neurocomputing, 167(11):658-670, 2015. (PDF)
  7. M.S. Allili, N. Baaziz and M. Mejri. Texture Modeling Using Contourlets and Finite Mixtures of Generalized Gaussian Distributions and Applications. IEEE Trans. on Multimedia , 16(3):772 -784, 2014. (PDF, Data)
  8. A. Boulmerka, M.S. Allili and S. Ait Aoudia. A Generalized Multiclass Histogram Thresholding Approach Based on Mixture Modeling. Pattern Recognition , 47(3):1330-1348, 2014. (PDF, , Data)
  9. M.S. Allili. Wavelet Modelling Using Finite Mixtures of Generalized Gaussian Distributions: Application to Texture Discrimination and Retrieval. IEEE Trans. on Image Processing, 21(4):1452-1464, 2012. (PDF, , Data)
  10. M.S. Allili, D. Ziou, N. Bouguila and S. Boutemedjet. Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection. IEEE Trans. on Circuits & Systems for Video Technology , 20(10):1373-1377, 2010. (PDF)
  11. D. Ziou, N. Bouguila, M.S. Allili and A. El-Zaart. Finite Gamma Mixture Modelling Using Minimum Message Length Inference:Application to SAR Image Analysis. Int値 J. of Remote Sensing, 30(3):771-792, 2009.
  12. M.S. Allili and D. Ziou. Object Contour Tracking in Videos Using Adaptive Mixture Models and Active Contours. Neurocomputing: Special Issue on Vision Research, 71(10-12):2001-2011, 2008. (PDF)
  13. M.S. Allili, N. Bouguila and D. Ziou. Finite General Gaussian Mixture Modelling and Application to Image and Video Foreground Segmentation. J. of Electronic Imaging , Vol. 17, No.013005, 1-13, January-March 2008. (PDF)
  14. M.S. Allili and D. Ziou. Globally Adaptive Region Information for Color-Texture Image Segmentation. Pattern Recognition Letters , 28(15):1946-1956, 2007. (PDF)
  15. M.S. Allili and D. Ziou. Active Contours for Video Object Tracking Using Region, Boundary and Shape Information. Signal, Image and Video Processing: Special Issue on Multi-Sensor Object Detection and Tracking, 1(2):101-117, 2007. (PDF)
  16. M.S. Allili and D. Ziou. Automatic Color-Texture Image Segmentation by Using Active Contours. Int値 J. of Computer Mathematics: Special Issue on Computer Vision and Pattern Recognition, 84(9):1325-1338, 2007.
  17. M.S. Allili and D. Ziou. Automatic Change Detection and Updating of Topographic Databases by Using Satellite Imagery: A Level Set Approach. Geomatica (Canadian Institute of Geomatics CIG), 59(3):121-129, 2005.
    Received the MDA Award for Authorship Best Paper in Geomatica 2006.

Conferences:

  1. O. Ouyed and M-S. Allili. Recognizing Human Interactions Using Group Feature Relevance in Multinomial Kernel Logistic Regression. Florida AI Research Society Conference: Uncertain Reasonning , 2018. (PDF)
  2. F. Audet, M-S. Allili et A-M. Cretu. Salient Object Detection in Images Using Objectness Clues in the RGBD color space. Int値 Conf. on Image Analysis and Recognition (ICIAR), 247-255, 2017. (PDF)
  3. N. Saidani, K. Adi and M-S. Allili . A Supervised Approach for Spam Detection using Text-based Semantic Representation. Int値 MCETECH Conference on e-Technologies, 136-148, 2017. (PDF)
  4. M-S. Allili et S. Bacha. Feature Relevance in Bayesian Network Classifiers and Application to Image Event Recognition. Florida AI Research Society Conference: Uncertain Reasonning, 760-763, 2017. (PDF)
  5. S. Bacha, M.S.Allili and N. Benblidia. Event Recognition in Photo Albums Using Probabilistic Graphical Model and Feature Relevance . IEEE Int'l Conference on Pattern Recognition (ICPR), (2016). (PDF)
  6. I. Filali, M.S. Allili and N. Benblidia. Multi-graph Based Salient Object Detection. Int'l Conference on Image Analysis and Recognition (ICIAR), 318-324, 2016. (PDF)
  7. A. Boulmerka and M.S. Allili. Background Modeling in Videos Revisited Using Finite Mixtures of Generalized Gaussians and Spatial Information. IEEE Int'l Conf. on Image Processing (ICIP), 3660-3664, 2015. (PDF)
  8. D. Yapi, M. Mejri, M.S. Allili and N. Baaziz. A Learning-Based Approach for Automatic Defect Detection in Textile Images. IFAC Symposium on Information Control in Manufacturing (INCOM), 2510-2515, 2015. (PDF)
  9. O. Ouyed and M.S. Allili. Feature Relevance for Kernel Logistic Regression and Application to Action Classification. IEEE Int'l Conf. on Pattern Recognition (ICPR), 1325-1329, 2014. (PDF)
  10. A. Boulmerka and M.S. Allili. Thresholding-Based Segmentation Revisited Using Mixtures of Generalized Gaussian Distributions. IEEE Int'l Conf. on Pattern Recognition , 2894-2897, 2012. (PDF)
  11. G. Larivi鑽e and M.S. Allili. A Learning Probabilistic Approach for Object Segmentation. IEEE Canadian Conf. on Computer and Robot Vision , 28-94, 2012. (PDF)
  12. M.S. Allili and N. Baaziz. Contourlet-Based Texture Retrieval Using a Mixture of Generalized Gaussian Distributions. Int'l Conf. on Computer Analysis of Images and Patterns (CAIP) , LNCS 6855, 446-454, 2011. (PDF)
  13. P-J. Pedrocca and M.S. Allili. Real-Time People Detection in Videos Using Geometrical Features and Adaptive Boosting. Int'l Conf. on Image Analysis and Recognition (ICIAR) , LNCS 6753, 314-324, 2011. (PDF)
  14. M. Allili, L. Donglei and M.S. Allili. A Digital Topology-Based Method for the Topological Filtering of a Reconstructed Surface. SPIE conf. on Visualisation and Data Analysis (VDA) , San Francisco, 7868-28, 2011.
  15. M.S. Allili. Wavelet-Based Texture Retrieval Using a Mixture of Generalized Gaussian Distributions. IEEE Int値 Conf. on Pattern Recognition (ICPR), Istanbul, 3143-3146, 2010. (PDF)
  16. M.S. Allili, D. Ziou, N. Bouguila and S. Boutemedjet. Unsupervised Feature Selection and Learning for Image Segmentation. IEEE Canadian Conf. on Computer and Robot Vision (CRV) , Ottawa, 285-292, 2010.
    (Received the best vision paper award.
    (PDF)
  17. M.S. Allili. < Effective Object Tracking by Matching Object and Background Models Using Active Contours. IEEE Int'l Conf. on Image Processing (ICIP) , Cairo, 873-876, 2009. (PDF)
  18. M.S. Allili. Object Contour Tracking Using Foreground and Background Distribution Matching. 14th Iberoamerican Congress on Pattern Recognition (CIARP) , Guadalajara, Springer LNCS 5856, 954-961. 2009. (PDF)
  19. M.S. Allili and D. Ziou. An Approach for Dynamic Combination of Region and Boundary Information in Segmentation. IEEE Conf. on Pattern Recognition (ICPR) , Florida, 1-4, 2008. (PDF)
  20. M.S. Allili and D. Ziou. Object of Interest segmentation and Tracking by Using Feature Selection and Active Contours. IEEE Conf. on Computer Vision and pattern Recognition (CVPR) , Minnesota, 1-8, 2007. (PDF)
  21. M.S. Allili, N. Bouguila and D. Ziou. Finite Generalized Gaussian Mixture Modelling and Application to Image and Video Foreground Segmentation. Proc. of IEEE Canadian Conf. on Computer and Robot Vision (CRV) , Montreal, 183-190, 2007.
    Received the IAPR Best Student Paper Award
    (PDF)
  22. M.S. Allili and D. Ziou. Adaptive Appearance Model for Object Contour Tracking in Videos. IEEE Canadian Conf. on Computer and Robot Vision (CRV): Workshop on Video Processing and Recognition, 510-518, 2007.
  23. M.S. Allili and D. Ziou. Object Contours Tracking in Video Sequences by Matching Finite Mixture Models. Proc. of IEEE Int値 Conf. on Advanced Video and Signal Based Surveillance (AVSS) , p. 35, Australia, 2006.
  24. M.S. Allili and D. Ziou. A Robust Video Object Tracking by Using Active Contours. Proc. of IEEE Conf. on Computer Vision and pattern Recognition Workshop (CVPRW), p. 135, New-York, 2006. (PDF)
  25. M.S. Allili and D. Ziou. Automatic Color-Texture Image Segmentation by Using Active Contours. IEEE Int値 Workshop on Intelligent Computing in Pattern Analysis/Synthesis , Springer LNCS 4153, 495-504, Xi'an (China), 2006. (PDF)
  26. M.S. Allili and D. Ziou. Change Detection by Using Active Contours Region Tracking: A Level Set Approach. IAPR/IEEE 4th Int値 Workshop on Pattern Recognition in Remote Sensing (In conjunction with ICPR) , 53-56, Hong-Kong, 2006.
  27. M.S. Allili and D. Ziou. A Bayesian Approach for Weighting Boundary and Region Information for Segmentation. Advanced Concepts for Intelligent Vision Systems (ACIVS) , Springer LNCS 3708, 468-475, Belgium, 2005.
  28. M.S. Allili and D. Ziou. An Automatic Segmentation of Color Images by Using a Combination of Mixture Modelling and Adaptive Region Information: A Level Set Approach. IEEE Int値 Conf. on Image Processing (ICIP) , (I):305-308, Italy, 2005.
  29. M.S. Allili and D. Ziou. An Automatic Segmentation Combining Mixture Analysis and Adaptive Region Information: a Level Set Approach. IEEE Canadian Conf. on Computer and Robot Vision (CRV) , 73-80, Canada, 2005.
  30. M.S. Allili, D. Ziou and L. Bentabet. A Robust Level Set Approach for Image Segmentation and Statistical Modelling. Advanced Concepts for Intelligent Vision Systems (ACIVS) , 243-251, Belgium, 2004.