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LARIVIA

Journals:

  1.  M.L. Allaoui, M.S. Allili. LG-TargetSeg: Deep Semantic Fusion via Language-Conditioned Selective Scanning for Targeted Medical Image Segmentation.  Information Fusion, 139, Part A, 104797, 2027
  2.  A. Hamadene, MS Allili. Cross-Model Deepfake Detection Through Contourlet-Based Inter-Channel Spectral Analysis. IEEE Trans. on Biometrics, Behavior, and Identity Science,  accepted, 2026
  3. ML Allaoui, MS Allili, B Ahror. FUSE-RAG: Few-Shot Universal Segmentation with Retrieval-Augmented Generation for Medical Imaging.  ACM Trans. on Multimedia Computing, Communications and Applications, accepted, 2026.
  4. S.M. Ameyoud, M.S. Allili. Multi-modal malware classification with hierarchical consistency and saliency-constrained adversarial training. J. Information Security with Applications, 99: 104429, 2026.
  5. M.C. Gapski, V.A. Kawai, G.R. Leticio, L.P. Valem, D.C. Pedronette, M.S. Allili. Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation. J. of the Brazilian Computer Society, 32(1): 1731-1754, 2026.
  6. A. Nouboukpo, M.S.Allili. Semi-supervised flow-augmented Gaussian mixture VAEs with weighted contrastive learning for out-of-distribution detection. Knowlege Based Systems. 347: 116312, 2026.
  7. S. Abdollahzadeh, M.S. Allili, A. Boulmerka, J.F. Lapointe. A Vision-Based Framework for Safe Landing Zone Mapping of UAVs in Dynamic Environments. IEEE Open J. Comput. Society, 7: 492-503, 2026.
  8.  S. Abdollahzadeh, M.S. Allili, A. Boulmerka, J.-F. Lapointe. Visual Safety Mapping for UAV Landings Using Ordinal Regression Networks. IEEE Trans. on Artificial Intelligence, 7(6): 3146-3159, 2026.
  9. M. Allaoui, R.H. Hedjam, K. Bouanane, M.S.Allili, M.L. Kherfi, S. B. Belhaouari. Exploring non-negativity for improved manifold embedding: Application to t-SNE. Knowlege Based Systems, 330: 114547, 2025.
  10. Y. Bouafia, M.S.Allili, L. Hebbache, L. Guezouli. SES-ReNet: Lightweight deep learning model for human detection in hazy weather conditions. Signal Processing: Image Communicaiton, 130: 117223, 2025.
  11. A Zetout, MS Allili. CSDNet: Context-Aware Segmentation of Disaster Aerial Imagery Using Detection-Guided Features and Lightweight Transformers. Remote Sensing, 17 (14), 2337, 2025.
  12. S Bacha, MS Allili, T Kerbedj, R Chahboub. Investigating food pairing hypothesis based on deep learning: Case of Algerian cuisine. Int’l Journal of Gastronomy and Food Science, 39, 101098, 2025.
  13. D. Amirkhani, M.S. Allili, J.-F. Lapointe. CrackSight: An Efficient Crack Segmentation Model in Varying Acquisition Ranges and Complex Backgrounds. IEEE Trans. on Automation Science and Engineering, 22: 19197-19214, 2025.
  14. M. Lamine Allaoui, M. Saïd Allili, Ahror Belaid, HA-U3Net: A modality-agnostic framework for 3D medical image segmentation using nested V-Net structure and hybrid attention, Knowledge-Based Systems, Vol 327, 2025. Link
  15. M. L. Allaoui and M. Saïd Allili, « MixLVMM: A Mixture of Lightweight Vision Mamba Model for Enhancing Skin Lesion Segmentation Across High Tone Variability, » in IEEE Access, vol. 13, pp. 121234-121249, 2025. Link
  16. D. Amirkhani, M. S. Allili, L. Hebbache, N. Hammouche and J. -F. Lapointe. Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review. IEEE Trans. on Intelligent Transportation Systems, 25(9): 10483 – 10505, 2024.
  17. A. Nouboukpo, M.L. Allaoui, M.S. Allili. Multi-scale Spatial Consistency  for Deep Semi-Supervised Skin Lesion Segmentation. Engineering Applications of Artificial Intelligence,  135: 108681, 2024.
  18. L. Hebbache, D. Amirkhani, M.S.Allili, N. Hammouche, J-F. Lapointe. Leveraging Saliency in Single-Stage Multi-Label Concrete Defect Detection Using Unmanned Aerial Vehicle Imagery. Remote Sensing, 15(5): 1218, 2023.
  19. D. Yapi, A.Nouboukpo, M.S.Allili. Mixture of multivariate generalized Gaussians for multi-band texture modeling and representation. Signal Processing, 209:109011, 2023.
  20. N. Saidani, K. Adi, M.S. Allili. A semantic-based classification approach for an enhanced spam detection. Computer Security,  94: 101716, 2020.
  21. O. Ouyed and M.S. Allili. Groups-of-Features Relevance in Kernel Logistic Regression and Application to Human Interaction Recognition. Expert Systems with Applications, 148: 113247, 2020.
  22. L. Laib, M.S. Allili and S. Ait Aoudia. Multi-Modal Topic Model for Event-Based Image Classification and Annotation. Signal Processing: Image Communication , 76: 283-294, 2019. (PDF)
  23. 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, 15(3): 1014-1026, 2018. (PDF)
  24. M.S. Allili, N. Casemajor and A. Talbi. Multiple Image Copy Detection on the Web and Evolution Visualisation Using Tree Graphs. Multimedia Tools and Applications , 78(5): 6253-6275, 2019. (PDF)
  25. 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 , 28(6): 1330-1345, 2018. (PDF)
  26. O. Ouyed and M.S. Allili. Feature Weighting for Multinomial Kernel Logistic Regression and Application to Action Recognition. Neurocomputing , 275: 1752-1768, 2018. (PDF)
  27. 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)
  28. 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, (47):380-401, 2016. (PDF)
  29. 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)
  30. 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)
  31. 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)
  32. 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, CODE)
  33. 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)
  34. 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’l J. of Remote Sensing, 30(3):771-792, 2009.
  35. 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)
  36. 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)
  37. M.S. Allili and D. Ziou. Globally Adaptive Region Information for Color-Texture Image Segmentation. Pattern Recognition Letters , 28(15):1946-1956, 2007. (PDF)
  38. 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)
  39. M.S. Allili and D. Ziou. Automatic Color-Texture Image Segmentation by Using Active Contours. Int’l J. of Computer Mathematics: Special Issue on Computer Vision and Pattern Recognition, 84(9):1325-1338, 2007.
  40. 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. MDA award.

Conferences:

  1. C. Benhama, M.S. Allili, A. Hamadene.Interpretable Deepfake Detection in Videos via Explicit Forensic Features and Temporal Modeling. 23rd Annual International Conference on Privacy, Security, and Trust, 2026. PST–Fortinet Excellence in Practice Award.
  2. D. Benchikh, M.S. Allili, E.G. TajeunaContextual Stance-Aware Semantic Graph Learning for Fake News Detection. The 39th Canadian Conference on Artificial Intelligence, 1005-1011, 2026.
  3. M. Allaoui, R. Hedjam, M.S. Allili, G. Zhong. PCU: Perturbation-Calibrated Uncertainty for Unsupervised Anomaly Detection. 42 Annual Conference on Uncertainty in Artificial Intelligence (UAI), 2026. 
  4. S. Belguesmia, M.S. Allili, A. Hamadene. Unmasking Facial DeepFakes: A Robust Multiview Detection Framework for Natural Images. IEEE Conf. on Robot Vision, 1-6, 2025.
  5. H. Attoumi, E.G. Tajeuna, M.S. Allili.  Causal Graph Modeling of Network Traffic for Early Cyberattack Prediction. Foundations and Practice in Security, 167-183, 2025.
  6. D.E. Temmar, A. Hamadene, V. Nallaguntla, A. Fursule, M.S. Allili, S.R. Kshirsagar, A.R. Avila. Phonetic Analysis of Real and Synthetic Speech Using HuBERT Embeddings: Perspectives for Deepfake Detection. IEEE Conf. on Systems Man and Cybernetics, 86-91, 2025.
  7. J.F. Lapointe, MS. Allili, N. Hammouche. Field Trials of an AI-AR-Based System for Remote Bridge Inspection by Drone. Human Computer Interaction (70), 278-287, 2024.
  8. M.L. Allaoui, M.S. Allili. MEDiXNet: A Robust Mixture of Expert Dermatological Imaging Networks for Skin Lesion Segmentation. IEEE International Symposium on Biomedical Imaging ,  1-5, 2024. Link
  9. L. Pascotti Valem, D.C. Pedronette, M.S.Allili. Contrastive Loss Based on Contextual Similarity for Image Classification. Int’l Symposium on Visual Computing (ISVC), 58-69, 2024.
  10. S. Abdollahzadeh, P-L. Proulx, M.S. Allili, J-F. Lapointe. Safe Landing Zones Detection for UAVs Using Deep Regression. IEEE Conf. on Robot Vision, 213-218, 2022.
  11. J-F. Lapointe, M.S. Allili, L. Belliveau, L. Hebbache, D. Amirkhani, H. Sekkati. AI-AR for Bridge Inspection by Drone. Human Computer Interaction (17), 302-313, 2022.
  12. D. Yapi, M.S. Allili. Multi-Band Texture Modeling Using Finite Mixtures of Multivariate Generalized Gaussian Distributions. IEEE Int’l Conf. on Pattern Recognition, 464-469, 2022.
  13. 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)
  14. F. Audet, M-S. Allili et A-M. Cretu. Salient Object Detection in Images Using Objectness Clues in the RGBD color space. Int’l Conf. on Image Analysis and Recognition (ICIAR), 247-255, 2017. (PDF)
  15. N. Saidani, K. Adi and M-S. Allili . A Supervised Approach for Spam Detection using Text-based Semantic Representation. Int’l MCETECH Conference on e-Technologies, 136-148, 2017. (PDF)
  16. 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)
  17. 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)
  18. 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)
  19. 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) Certificate of the Top 10% Papers.
  20. 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)
  21. 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)
  22. 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)
  23. G. Larivière and M.S. Allili. A Learning Probabilistic Approach for Object Segmentation. IEEE Canadian Conf. on Computer and Robot Vision , 28-94, 2012. (PDF)
  24. 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)
  25. 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)
  26. 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.
  27. M.S. Allili. Wavelet-Based Texture Retrieval Using a Mixture of Generalized Gaussian Distributions. IEEE Int’l Conf. on Pattern Recognition (ICPR), Istanbul, 3143-3146, 2010. (PDF)
  28. 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. (PDF) Best Vision Paper Award.
  29. 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)
  30. 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)
  31. 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)
  32. 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)
  33. M.S. Allili, N. Bouguila and D. Ziou. Finite Generalized Gaussian Mixture Modelling and Application to Image and Video Foreground Segmentation. IEEE Canadian Conf. on Computer and Robot Vision (CRV) , Montreal, 183-190, 2007. (PDF) Best Student Paper Award.
  34. 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.
  35. M.S. Allili and D. Ziou. Object Contours Tracking in Video Sequences by Matching Finite Mixture Models. Proc. of IEEE Int’l Conf. on Advanced Video and Signal Based Surveillance (AVSS) , p. 35, Australia, 2006.
  36. M.S. Allili and D. Ziou. A Robust Video Object Tracking by Using Active Contours. IEEE Conf. on Computer Vision and pattern Recognition Workshop (CVPRW), p. 135, New-York, 2006. (PDF)
  37. M.S. Allili and D. Ziou. Automatic Color-Texture Image Segmentation by Using Active Contours. IEEE Int’l Workshop on Intelligent Computing in Pattern Analysis/Synthesis , Springer LNCS 4153, 495-504, Xi’an (China), 2006. (PDF)
  38. M.S. Allili and D. Ziou. Change Detection by Using Active Contours Region Tracking: A Level Set Approach. IAPR/IEEE 4th Int’l Workshop on Pattern Recognition in Remote Sensing (In conjunction with ICPR) , 53-56, Hong-Kong, 2006.
  39. 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.
  40. 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’l Conf. on Image Processing (ICIP) , (I):305-308, Italy, 2005.
  41. 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.
  42. 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.
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