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2020 – today
- 2024
- [j82]Tanish Patel
, Ramalingam Murugan
Demystifying Defects: Federated Learning and Explainable AI for Semiconductor Fault Detection. IEEE Access 12: 116987-117007 (2024) - [j81]Simon Thomine
Dual model knowledge distillation for industrial anomaly detection. Pattern Anal. Appl. 27(3): 77 (2024) - [j80]Yiqun Qiao
A Multihead Attention Self-Supervised Representation Model for Industrial Sensors Anomaly Detection. IEEE Trans. Ind. Informatics 20(2): 2190-2199 (2024) - [j79]Xinzhou Zhao, Tian Wang
Target-Driven Visual Navigation by Using Causal Intervention. IEEE Trans. Intell. Veh. 9(1): 1294-1304 (2024) - [c93]Henda Hnaien, Ahmed Aboud, Haifa Touati, Hichem Snoussi:
Path Planning in UAV-Assisted Wireless Networks: A Comprehensive Survey and Open Research Issues. AINA (6) 2024: 286-297 - [c92]Junqiao Li, Leyan Zhu, Tian Wang, Yuan Xie, Jingang Shi, Hichem Snoussi:
Target-Specific Domain Adaptation via Geometry-Correlation Prediction for Point Cloud. PRCV (4) 2024: 47-61 - [c91]Simon Thomine, Hichem Snoussi:
CSE: Surface Anomaly Detection with Contrastively Selected Embedding. VISIGRAPP (2): VISAPP 2024: 280-289 - [i10]Simon Thomine, Hichem Snoussi:
Distillation-based fabric anomaly detection. CoRR abs/2401.02287 (2024) - [i9]Simon Thomine, Hichem Snoussi:
CSE: Surface Anomaly Detection with Contrastively Selected Embedding. CoRR abs/2403.01859 (2024) - 2023
- [j78]Tian Wang
TASTA: Text-Assisted Spatial and Temporal Attention Network for Video Question Answering. Adv. Intell. Syst. 5(4) (2023) - [j77]Tian Wang
Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10589-10599 (2023) - [c90]Malak Saiem, Valeria Borodin, Faicel Hnaien, Hichem Snoussi:
Predictive maintenance planning for railway systems. CiSt 2023: 553-558 - [c89]Simon Thomine, Hichem Snoussi, Mahmoud Soua:
FABLE : Fabric Anomaly Detection Automation Process. ICCAD 2023: 1-6 - [c88]Edern Viannay, Benitha Vasseur, Hichem Snoussi, Dominique Poux:
Vision-based Explainable Action Recognition Model for Polluted Soil Tracking. ICCAD 2023: 1-5 - [c87]Nhan Le
Multi-View 3D Compton Image Reconstruction With a Generalized List-Mode MLEM Algorithm. ICIP 2023: 2655-2659 - [c86]Simon Thomine, Hichem Snoussi, Mahmoud Soua:
MixedTeacher: Knowledge Distillation for Fast Inference Textural Anomaly Detection. VISIGRAPP (5: VISAPP) 2023: 487-494 - [i8]Simon Thomine, Hichem Snoussi, Mahmoud Soua:
MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection. CoRR abs/2306.09859 (2023) - [i7]Simon Thomine, Hichem Snoussi, Mahmoud Soua:
FABLE : Fabric Anomaly Detection Automation Process. CoRR abs/2306.10089 (2023) - 2022
- [j76]Tian Wang, Boyao Hou, Zexian Li, Zhe Li, Lei Huang, Baochang Zhang, Hichem Snoussi:
A Malleable Boundary Network for temporal action detection. Comput. Electr. Eng. 103: 108250 (2022) - [j75]Tian Wang, Shiye Lei, Youyou Jiang, Chang Choi, Hichem Snoussi, Guangcun Shan, Yao Fu:
Accelerating temporal action proposal generation via high performance computing. Frontiers Comput. Sci. 16(4): 164317 (2022) - [j74]Tian Wang, Jiakun Li, Huai-Ning Wu, Ce Li, Hichem Snoussi, Yang Wu:
ResLNet: deep residual LSTM network with longer input for action recognition. Frontiers Comput. Sci. 16(6): 166334 (2022) - [j73]Tian Wang
Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Trans Autom. Sci. Eng. 19(2): 1296-1304 (2022) - [j72]Aichun Zhu
CACrowdGAN: Cascaded Attentional Generative Adversarial Network for Crowd Counting. IEEE Trans. Intell. Transp. Syst. 23(7): 8090-8102 (2022) - [c85]Ge Kan, Jinhu Lü
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CVPR 2022: 18439-18448 - [c84]Marie Njaime, Fahed Abdallah Olivier
Data Cleaning to fine-tune a Transfer Learning approach for Air Quality Prediction. ISC2 2022: 1-5 - [i6]Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi:
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CoRR abs/2203.14702 (2022) - 2021
- [j71]Haifa Touati
Cognitive Radio and Dynamic TDMA for efficient UAVs swarm communications. Comput. Networks 196: 108264 (2021) - [j70]Tian Wang, Jiakun Li, Mengyi Zhang, Aichun Zhu, Hichem Snoussi, Chang Choi
An enhanced 3DCNN-ConvLSTM for spatiotemporal multimedia data analysis. Concurr. Comput. Pract. Exp. 33(2) (2021) - [j69]Tian Wang, Jiakun Li, Yingjun Deng, Chuang Wang, Hichem Snoussi, Fei Tao
Digital twin for human-machine interaction with convolutional neural network. Int. J. Comput. Integr. Manuf. 34(7-8): 888-897 (2021) - [j68]Slim Hamdi
End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream. J. Imaging 7(5): 90 (2021) - [j67]Amira Chriki
Deep learning and handcrafted features for one-class anomaly detection in UAV video. Multim. Tools Appl. 80(2): 2599-2620 (2021) - [j66]Qianyu Wu
Pose-Guided Inflated 3D ConvNet for action recognition in videos. Signal Process. Image Commun. 91: 116098 (2021) - [j65]Aichun Zhu
CDADNet: Context-guided dense attentional dilated network for crowd counting. Signal Process. Image Commun. 98: 116379 (2021) - [j64]Tian Wang
RecapNet: Action Proposal Generation Mimicking Human Cognitive Process. IEEE Trans. Cybern. 51(12): 6017-6028 (2021) - [j63]Ronghua Hu
FT-MDnet: A Deep-Frozen Transfer Learning Framework for Person Search. IEEE Trans. Inf. Forensics Secur. 16: 4721-4732 (2021) - [j62]Tian Wang
Online Detection of Action Start via Soft Computing for Smart City. IEEE Trans. Ind. Informatics 17(1): 524-533 (2021) - [c83]Masoud PourReza, Bahram Mohammadi
G2D: Generate to Detect Anomaly. WACV 2021: 2002-2011 - 2020
- [j61]Tian Wang, Meina Qiao, Aichun Zhu, Guangcun Shan, Hichem Snoussi:
Abnormal event detection via the analysis of multi-frame optical flow information. Frontiers Comput. Sci. 14(2): 304-313 (2020) - [j60]Aichun Zhu, Qianyu Wu
Exploring a rich spatial-temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN. Neurocomputing 414: 90-100 (2020) - [j59]C. Chahla, Hichem Snoussi, Fahed Abdallah, Fadi Dornaika
Learned versus Handcrafted Features for Person Re-identification. Int. J. Pattern Recognit. Artif. Intell. 34(4): 2055009:1-2055009:19 (2020) - [j58]Amani Lamine, Fethi Mguis, Hichem Snoussi, Khaled Ghédira:
Linear models for total coverage problem with connectivity constraints using multiple unmanned aerial vehicles. Int. J. Sens. Networks 34(1): 15-25 (2020) - [j57]Tian Wang
Data-driven prognostic method based on self-supervised learning approaches for fault detection. J. Intell. Manuf. 31(7): 1611-1619 (2020) - [c82]Slim Hamdi, Samir Bouindour, Kais Loukil, Hichem Snoussi, Mohamed Abid:
Two-streams Fully Convolutional Networks for Abnormal Event Detection in Videos. ICAART (2) 2020: 514-521 - [c81]Amira Chriki
UAV-based Surveillance System: an Anomaly Detection Approach. ISCC 2020: 1-6 - [c80]Slim Hamdi, Hichem Snoussi, Mohamed Abid:
Fine-Tuning a Pre-trained CAE for Deep One Class Anomaly Detection in Video Footage. MedPRAI 2020: 3-17 - [i5]Masoud PourReza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou:
G2D: Generate to Detect Anomaly. CoRR abs/2006.11629 (2020)
2010 – 2019
- 2019
- [j56]Amira Chriki
FANET: Communication, mobility models and security issues. Comput. Networks 163 (2019) - [j55]Mohamad Mazen Hittawe
Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea. J. Electronic Imaging 28(2): 021012 (2019) - [j54]Tian Wang, Ruoxi Qin, Yang Chen, Hichem Snoussi, Chang Choi
A reinforcement learning approach for UAV target searching and tracking. Multim. Tools Appl. 78(4): 4347-4364 (2019) - [j53]Tian Wang
Generative Neural Networks for Anomaly Detection in Crowded Scenes. IEEE Trans. Inf. Forensics Secur. 14(5): 1390-1399 (2019) - [j52]Samira Chouikhi
A Game-Theoretic Multi-Level Energy Demand Management for Smart Buildings. IEEE Trans. Smart Grid 10(6): 6768-6781 (2019) - [j51]Yi Zhou
Multiple Kernelized Correlation Filters (MKCF) for Extended Object Tracking Using X-Band Marine Radar Data. IEEE Trans. Signal Process. 67(14): 3676-3688 (2019) - [c79]Ronghua Hu, Samir Bouindour, Hichem Snoussi, Abel Cherouat, Charbel Chahla:
Multiple Cues Association for Multiple Object Tracking Based on Convolutional Neural Network. AIKE 2019: 117-122 - [c78]Samir Bouindour, Ronghua Hu, Hichem Snoussi:
Enhanced Convolutional Neural Network for Abnormal Event Detection in Video Streams. AIKE 2019: 172-178 - [c77]Slim Hamdi
Hybrid deep learning and HOF for Anomaly Detection. CoDIT 2019: 575-580 - [c76]C. Chahla, Hichem Snoussi, Leïla Merghem, Moez Esseghir
A Novel Approach for Anomaly Detection in Power Consumption Data. ICPRAM 2019: 483-490 - [c75]Bouziane Brik
ThermCont: A machine Learning enabled Thermal Comfort Control Tool in a real time. IWCMC 2019: 294-300 - [c74]Souad BelMannoubi, Haifa Touati, Hichem Snoussi:
Stacked Auto-Encoder for Scalable Indoor Localization in Wireless Sensor Networks. IWCMC 2019: 1245-1250 - [c73]Amani Lamine
Coverage Optimization using Multiple Unmanned Aerial Vehicles with Connectivity Constraint. IWCMC 2019: 1361-1366 - [c72]Amira Chriki
Centralized Cognitive Radio Based Frequency Allocation for UAVs Communication. IWCMC 2019: 1674-1679 - [c71]Amira Chriki
UAV-GCS Centralized Data-Oriented Communication Architecture for Crowd Surveillance Applications. IWCMC 2019: 2064-2069 - [c70]Chuang Wang, Jiakun Li, Tian Wang, Peng Shi, Hichem Snoussi, Xin Su:
Abnormal object detection and recognition in the complex construction site via cloud computing. RACS 2019: 71-75 - [i4]Yinghong Fang, Guangcun Shan, Xin Li, Wenliang Liu, Tian Wang, Hichem Snoussi:
HE-SLAM: a Stereo SLAM System Based on Histogram Equalization and ORB Features. CoRR abs/1902.03365 (2019) - [i3]Weikuang Li, Tian Wang, Chuanyun Wang, Guangcun Shan, Mengyi Zhang, Hichem Snoussi:
Region based Ensemble Learning Network for Fine-grained Classification. CoRR abs/1902.03377 (2019) - [i2]Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi:
AED-Net: An Abnormal Event Detection Network. CoRR abs/1903.11891 (2019) - [i1]Tian Wang, Shiye Lei, Youyou Jiang, Zihang Deng, Xin Su, Hichem Snoussi, Chang Choi:
Improving temporal action proposal generation by using high performance computing. CoRR abs/1906.06496 (2019) - 2018
- [j50]Tian Wang
Abnormal event detection via covariance matrix for optical flow based feature. Multim. Tools Appl. 77(13): 17375-17395 (2018) - [j49]Valeria Borodin, Hichem Snoussi, Faicel Hnaien, Nacima Labadie:
Signal processing on graphs: Case of sampling in Paley-Wiener spaces. Signal Process. 152: 130-140 (2018) - [c69]Amani Lamine
Solving the Total Coverage Problem using a Multiple Mobile Sensor Network. ICM 2018: 24-27 - [c68]Bouziane Brik
Indoor Thermal Comfort Collection of People with Physical Disabilities. ISNCC 2018: 1-6 - [c67]Bouziane Brik
ThingsGame: when sending data rate depends on the data usefulness in IoT networks. IWCMC 2018: 886-891 - [c66]Bassem Hadjkacem, Walid Ayedi, Mohamed Abid, Hichem Snoussi:
Multi-Shot Human Re-Identification for the Security in Video Surveillance Systems. WETICE 2018: 203-208 - 2017
- [j48]Tian Wang
Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets. IEEE Access 5: 17627-17633 (2017) - [j47]C. Chahla, Hichem Snoussi, Fahed Abdallah
Discriminant quaternion local binary pattern embedding for person re-identification through prototype formation and color categorization. Eng. Appl. Artif. Intell. 58: 27-33 (2017) - [j46]Bassem Hadjkacem, Walid Ayedi, Mohamed Abid, Hichem Snoussi:
Multi-shot human re-identification using a fast multi-scale video covariance descriptor. Eng. Appl. Artif. Intell. 65: 60-67 (2017) - [c65]Yang Chen, Tian Wang, Jiakun Li, Xiaowei Lv, Hichem Snoussi:
Human Action Recognition Based on Sub-data Learning. CCCV (3) 2017: 617-626 - [c64]Samir Bouindour, Mohamad Mazen Hittawe
Abnormal event detection using convolutional neural networks and 1-class SVM classifier. ICDP 2017: 1-6 - [c63]Bassem Hadjkacem, Walid Ayedi, Mohamed Abid, Hichem Snoussi:
A new method of video-surveillance data analytics for the security in camera networks. IINTEC 2017: 140-145 - [c62]Amira Chriki
SVM-based indoor localization in Wireless Sensor Networks. IWCMC 2017: 1144-1149 - 2016
- [j45]Fadi Dornaika, Charbel Chahla, Fawzi Khattar, Fahed Abdallah, Hichem Snoussi:
Discriminant sparse label-sensitive embedding: Application to image-based face pose estimation. Eng. Appl. Artif. Intell. 50: 168-176 (2016) - [j44]Maher Rebai, Hasan Murat Afsar, Hichem Snoussi:
Exact methods for sensor deployment problem with connectivity constraint in wireless sensor networks. Int. J. Sens. Networks 21(3): 157-168 (2016) - [j43]Matthieu Le Berre, Maher Rebai, Faicel Hnaien, Hichem Snoussi:
A bi-objective model for wireless sensor deployment considering coverage and tracking applications. Int. J. Sens. Networks 22(1): 47-57 (2016) - [j42]Abderrahim Halimi
Bayesian Estimation of Smooth Altimetric Parameters: Application to Conventional and Delay/Doppler Altimetry. IEEE Trans. Geosci. Remote. Sens. 54(4): 2207-2219 (2016) - [c61]Charbel Chahla, Hichem Snoussi, Fahed Abdallah, Fadi Dornaika:
Exploiting color cues to improve person re-identification. ICDP 2016: 1-3 - [c60]Meina Qiao, Tian Wang, Yuan Dong, Jingang Shi, Jing Teng
Real time Object Tracking based on Local Texture Feature with Correlation Filter. DSP 2016: 482-486 - [c59]Ruoxi Qin, Tian Wang, Haotian Jiang, Qianhong Yan, Weikang Wang, Hichem Snoussi:
Cooperative target searching and tracking via UCT with probability distribution model. DSP 2016: 560-564 - [c58]Yuqi Zhang, Tian Wang, Meina Qiao, Aichun Zhu, Ce Li, Hichem Snoussi:
Detection of Abnormal Event in Complex Situations Using Strong Classifier Based on BP Adaboost. ICIC (2) 2016: 245-256 - [c57]Oussama Ghorbel
One class outlier detection method in wireless sensor networks: Comparative study. SoftCOM 2016: 1-8 - 2015
- [j41]Maher Rebai, Matthieu Le Berre, Hichem Snoussi, Faicel Hnaien, Lyes Khoukhi:
Sensor deployment optimization methods to achieve both coverage and connectivity in wireless sensor networks. Comput. Oper. Res. 59: 11-21 (2015) - [j40]Tian Wang, Jie Chen, Paul Honeine
Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks. Int. J. Distributed Sens. Networks 11: 989450:1-989450:9 (2015) - [j39]Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës:
Theoretical properties and implementation of the one-sided mean kernel for time series. Neurocomputing 169: 196-204 (2015) - [j38]Aichun Zhu, Hichem Snoussi, Tian Wang, Abel Cherouat:
Human pose estimation with multiple mixture parts model based on upper body categories. J. Electronic Imaging 24(4): 043021 (2015) - [j37]Alain Iltis
The Temporal PET Camera: A New Concept With High Spatial and Timing Resolution for PET Imaging. J. Imaging 1(1): 45-59 (2015) - [j36]Tian Wang, Hichem Snoussi:
Detection of Abnormal Events via Optical Flow Feature Analysis. Sensors 15(4): 7156-7171 (2015) - [j35]Xiaowei Lv, Farah Mourad-Chehade, Hichem Snoussi:
Decentralized localization using radio-fingerprints and accelerometer in WSNs. IEEE Trans. Aerosp. Electron. Syst. 51(1): 242-257 (2015) - [j34]Sandy Mahfouz
Kernel-based machine learning using radio-fingerprints for localization in wsns. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1324-1336 (2015) - [j33]Matthieu Le Berre, Maher Rebai, Faicel Hnaien, Hichem Snoussi:
A Specific Heuristic Dedicated to a Coverage/Tracking Bi-objective Problem for Wireless Sensor Deployment. Wirel. Pers. Commun. 84(3): 2187-2213 (2015) - [c56]Oussama Ghorbel
A Novel Outlier Detection Model Based on One Class Principal Component Classifier in Wireless Sensor Networks. AINA 2015: 70-76 - [c55]Aichun Zhu, Hichem Snoussi, Abel Cherouat:
Articulated pose estimation via multiple mixture parts model. AVSS 2015: 1-5 - [c54]Tian Wang, Keyu Lai, Ce Li, Hichem Snoussi:
Joint Abnormal Blob Detection and Localization Under Complex Scenes. ICIC (1) 2015: 283-292 - [c53]Bassem Hadjkacem
A spatio-temporal covariance descriptor for person re-identification. ISDA 2015: 618-622 - [c52]Oussama Ghorbel
Distributed and Efficient One-Class Outliers Detection Classifier in Wireless Sensors Networks. WWIC 2015: 259-273 - 2014
- [j32]Maher Rebai, Matthieu Le Berre
A Branch and Bound Algorithm for the Critical Grid Coverage Problem in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - [j31]Lei Qin, Hichem Snoussi, Fahed Abdallah
Object Tracking Using Adaptive Covariance Descriptor and Clustering-Based Model Updating for Visual Surveillance. Sensors 14(6): 9380-9407 (2014) - [j30]Xiaoxue Feng, Hichem Snoussi, Yan Liang, Lianmeng Jiao
Constrained State Estimation for Individual Localization in Wireless Body Sensor Networks. Sensors 14(11): 21195-21212 (2014) - [j29]Tian Wang, Hichem Snoussi:
Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram. IEEE Trans. Inf. Forensics Secur. 9(6): 988-998 (2014) - [c51]Sandy Mahfouz
Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNs. AICCSA 2014: 413-419 - [c50]Oussama Ghorbel
Kernel Principal Subspace Based Outlier Detection Method in Wireless Sensor Networks. AINA Workshops 2014: 737-742 - [c49]Oussama Ghorbel
Improved KPCA for outlier detection in Wireless Sensor Networks. ATSIP 2014: 507-511 - [c48]Amine Besrour, Hichem Snoussi, Mohamed Siala, Fatma Abdelkefi:
Theoretical study of an efficient bracketing camera system architecture. IMSE 2014: 90220X - [c47]Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës, Fabrice Ferrand:
The one-sided mean kernel: a positive definite kernel for time series. ESANN 2014 - [c46]Aichun Zhu, Hichem Snoussi, Abel Cherouat:
Articulated human motion tracking with foreground learning. EUSIPCO 2014: 366-370 - [c45]Lei Qin, Hichem Snoussi, Fahed Abdallah:
Online learning partial least squares regression model for univariate response data. EUSIPCO 2014: 1073-1077 - [c44]Xiaowei Lv, Farah Mourad-Chehade, Hichem Snoussi:
Interval-based localization using sensors mobility and fingerprints in decentralized sensor networks. EUSIPCO 2014: 1970-1974 - [c43]Xiaoxue Feng, Hichem Snoussi, Yan Liang:
Constrained Extended Kalman Filter for ultra-wideband radio based individual navigation. FUSION 2014: 1-7 - [c42]Sandy Mahfouz
Ridge regression and Kalman filtering for target tracking in wireless sensor networks. SAM 2014: 237-240 - 2013
- [j28]Tian Wang
Online Detection of Abnormal Events in Video Streams. J. Electr. Comput. Eng. 2013: 837275:1-837275:12 (2013) - [j27]Tian Wang, Jie Chen, Yi Zhou, Hichem Snoussi:
Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection. Sensors 13(12): 17130-17155 (2013) - [j26]Farah Mourad, Paul Honeine
Polar-Interval-Based Localization in Mobile Sensor Networks. IEEE Trans. Aerosp. Electron. Syst. 49(4): 2310-2322 (2013) - [j25]Fouad Bousetouane, Lynda Dib, Hichem Snoussi:
Improved mean shift integrating texture and color features for robust real time object tracking. Vis. Comput. 29(3): 155-170 (2013) - [c41]Oussama Ghorbel
An overview of outlier detection technique developed for wireless sensor networks. SSD 2013: 1-6 - [c40]Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi:
Decentralized localization using fingerprinting and kernel methods inwireless sensor networks. EUSIPCO 2013: 1-5 - [c39]Xiaowei Lv, Farah Mourad-Chehade, Hichem Snoussi:
Fingerprinting-based localization using accelerometer information in wireless sensor networks. GLOBECOM 2013: 510-515 - [c38]Fahed Abdallah, Hichem Snoussi, Hicham Laanaya, Régis Lengellé:
Learning General Gaussian Kernel Hyperparameters for SVR. GSI 2013: 677-684 - [c37]Lei Qin, Hichem Snoussi, Fahed Abdallah
Adaptive covariance matrix for object region representation. ICDIP 2013: 887848 - [c36]Lei Qin, Hichem Snoussi, Fahed Abdallah
Cascaded Generative and Discriminative Learning for Visual Tracking. ICIAR 2013: 397-406 - [c35]Rim Trabelsi
An Endeavour to Detect Persons Using Stereo Cues. IVIC 2013: 358-370 - [c34]Sandy Mahfouz
Kernel-based localization using fingerprinting in wireless sensor networks. SPAWC 2013: 744-748 - 2012
- [j24]Farah Mourad, Hichem Snoussi, Michel Kieffer
Robust Interval-Based Localization Algorithms for Mobile Sensor Networks. Int. J. Distributed Sens. Networks 8 (2012) - [j23]Walid Ayedi, Hichem Snoussi, Mohamed Abid:
A fast multi-scale covariance descriptor for object re-identification. Pattern Recognit. Lett. 33(14): 1902-1907 (2012) - [j22]Farah Mourad, Hicham Chehade, Hichem Snoussi, Farouk Yalaoui, Lionel Amodeo, Cédric Richard:
Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization. IEEE Trans. Mob. Comput. 11(8): 1261-1273 (2012) - [j21]Jing Teng
Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks. IEEE Trans. Veh. Technol. 61(5): 2305-2318 (2012) - [j20]Jing Teng
Prediction-based cluster management for target tracking in wireless sensor networks. Wirel. Commun. Mob. Comput. 12(9): 797-812 (2012) - [c33]Tian Wang, Hichem Snoussi:
Histograms of Optical Flow Orientation for Visual Abnormal Events Detection. AVSS 2012: 13-18 - [c32]Walid Ayedi, Hichem Snoussi, Fethi Smach, Mohamed Abid:
The multi-scale covariance descriptor: Performances analysis in human detection. BioMS 2012: 1-5 - [c31]Yahia F. Said
Embedded Real-Time Video Processing System on FPGA. ICISP 2012: 85-92 - [c30]Farah Mourad, Paul Honeine
Indoor localization using polar intervals in wireless sensor networks. ICT 2012: 1-6 - [c29]Babiga Birregah
Multi-layer Crisis Mapping: A Social Media-Based Approach. WETICE 2012: 379-384 - 2011
- [j19]Ke Li
Recurrence quantification analysis of sustained sub-maximal grip contractions in patients with various metabolic muscle disorders. Biomed. Signal Process. Control. 6(1): 70-76 (2011) - [j18]Zoulficar Younes, Fahed Abdallah
A Dependent Multilabel Classification Method Derived from the k-Nearest Neighbor Rule. EURASIP J. Adv. Signal Process. 2011 (2011) - [j17]Majdi Mansouri, Hichem Snoussi, Cédric Richard:
Channel estimation and multiple target tracking in wireless sensor networks based on quantised proximity sensors. IET Wirel. Sens. Syst. 1(1): 7-14 (2011) - [j16]Jing Teng
Collaborative multi-target tracking in wireless sensor networks. Int. J. Syst. Sci. 42(9): 1427-1443 (2011) - [j15]Hicham Laanaya, Fahed Abdallah
Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold. Pattern Recognit. Lett. 32(13): 1511-1515 (2011) - [j14]Farah Mourad, Hichem Snoussi, Cédric Richard:
Interval-Based Localization using RSSI Comparison in MANETs. IEEE Trans. Aerosp. Electron. Syst. 47(4): 2897-2910 (2011) - [j13]Farah Mourad, Hichem Snoussi, Fahed Abdallah
A Robust Localization Algorithm for Mobile Sensors Using Belief Functions. IEEE Trans. Veh. Technol. 60(4): 1799-1811 (2011) - [j12]Majdi Mansouri
Adaptive quantized target tracking in wireless sensor networks. Wirel. Networks 17(7): 1625-1639 (2011) - [c28]Yi Zhou, Shibao Zheng, Hichem Snoussi:
Building Regionally Spatial Appearance Model by Topological Color Histogram. CSE 2011: 52-56 - [c27]Olivier Eches, Nicolas Dobigeon
Variational methods for spectral unmixing of hyperspectral images. ICASSP 2011: 957-960 - [c26]Majdi Mansouri
Quantized variational filtering for target tracking and relay localization in sensor networks. IWCMC 2011: 1837-1842 - [c25]Farah Mourad, Hichem Snoussi, Cédric Richard:
Interval-based localization for mobile sensors in low-anchors density networks. IWCMC 2011: 1843-1848 - [c24]Majdi Mansouri
Optimal path selection for quantized target tracking in distributed sensor networks. IWCMC 2011: 1849-1853 - 2010
- [j11]Paul Honeine
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks. EURASIP J. Wirel. Commun. Netw. 2010 (2010) - [j10]Jing Teng
Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks. IEEE Trans. Mob. Comput. 9(10): 1465-1477 (2010) - [c23]Majdi Mansouri
Joint Multiple Target Tracking and Channel Estimation in Wireless Sensor Networks. GLOBECOM 2010: 1-5 - [c22]Majdi Mansouri
A Sensor Selection Method for Target Tracking in Wireless Sensor Networks Using Quantized Variational Filtering. VTC Fall 2010: 1-5
2000 – 2009
- 2009
- [j9]Farah Mourad, Hichem Snoussi, Fahed Abdallah
Anchor-based localization via interval analysis for mobile ad-hoc sensor networks. IEEE Trans. Signal Process. 57(8): 3226-3239 (2009) - [c21]Neeraj Kumar Singh, Hichem Snoussi, David J. Hewson, Jacques Duchêne:
Detection of the Critical Point Interval of Postural Control Strategy using Wavelet Transform Analysis. BIOSIGNALS 2009: 101-106 - [c20]Neeraj Kumar Singh, Hichem Snoussi, David J. Hewson
Wavelet Transform Analysis of the Power Spectrum of Centre of Pressure Signals to Detect the Critical Point Interval of Postural Control. BIOSTEC (Selected Papers) 2009: 235-244 - [c19]Ram Bilas Pachori
Postural time-series analysis using Empirical Mode Decomposition and second-order difference plots. ICASSP 2009: 537-540 - [c18]Jing Teng
Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks. ICASSP 2009: 2233-2236 - [c17]Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djuric
Data-driven online variational filtering in wireless sensor networks. ICASSP 2009: 2413-2416 - [c16]Paul Honeine
Functional estimation in Hilbert space for distributed learning in wireless sensor networks. ICASSP 2009: 2861-2864 - [c15]Nourddine Azzaoui
Empirical Mode Decomposition for vectorial bi-dimensional signals. nDS 2009: 1-4 - [c14]Hana Baili, Hichem Snoussi:
Stochastic Filtering with Networked Sensing. VTC Fall 2009 - 2008
- [j8]Hassan Amoud, Hichem Snoussi, David J. Hewson
Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis. EURASIP J. Adv. Signal Process. 2008 (2008) - [c13]Paul Honeine
Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks. ACSCC 2008: 246-250 - [c12]Mehdi Essoloh, Cédric Richard, Hichem Snoussi, Paul Honeine:
Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space. EUSIPCO 2008: 1-5 - [c11]Jing Teng, Hichem Snoussi, Cédric Richard:
Variational Filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network. EUSIPCO 2008: 1-5 - [c10]Paul Honeine
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model. GLOBECOM 2008: 112-116 - [c9]Farah Mourad, Hichem Snoussi, Fahed Abdallah
Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques. GLOBECOM 2008: 415-419 - [c8]Abderrazek Abdaoui, Marion Berbineau, Hichem Snoussi:
GMRES Interference Canceller for MIMO Relay Network. GLOBECOM 2008: 1214-1218 - 2007
- [j7]Hichem Snoussi, Cédric Richard:
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks. Int. J. Sens. Networks 2(1/2): 118-127 (2007) - [j6]Hassan Amoud, Hichem Snoussi, David J. Hewson
Intrinsic Mode Entropy for Nonlinear Discriminant Analysis. IEEE Signal Process. Lett. 14(5): 297-300 (2007) - [j5]Hichem Snoussi, Ali Mohammad-Djafari
Estimation of Structured Gaussian Mixtures: The Inverse EM Algorithm. IEEE Trans. Signal Process. 55(7-1): 3185-3191 (2007) - [c7]Hichem Snoussi, Cédric Richard:
Information-theoretic node scheduling in collaborative sensor networks. ISSPA 2007: 1-4 - 2006
- [j4]Hichem Snoussi, Jérôme Idier:
Bayesian blind separation of generalized hyperbolic processes in noisy and underdeterminate mixtures. IEEE Trans. Signal Process. 54(9): 3257-3269 (2006) - [c6]Hichem Snoussi, Hassan Amoud, Michel Doussot, David J. Hewson
Reconstructed Phase Spaces of Intrinsic Mode Functions. Application to Postural Stability Analysis. EMBC 2006: 4584-4589 - [c5]Hichem Snoussi, Cédric Richard:
Distributed Bayesian Fault diagnosis in Collaborative Wireless Sensor Networks. GLOBECOM 2006 - 2005
- [j3]Hichem Snoussi:
The geometry of prior selection. Neurocomputing 67: 214-244 (2005) - [c4]Hichem Snoussi, Jérôme Idier:
Blind separation of generalized hyperbolic processes: unifying approach to stationary non Gaussianity and Gaussian non stationarity. ICASSP (5) 2005: 229-232 - [c3]Hichem Snoussi:
Information-theoretic approach to joint separation and segmentation of images. ISSPA 2005: 731-734 - 2004
- [j2]Hichem Snoussi, Ali Mohammad-Djafari
Fast joint separation and segmentation of mixed images. J. Electronic Imaging 13(2): 349-361 (2004) - [j1]Hichem Snoussi, Ali Mohammad-Djafari
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior. J. VLSI Signal Process. 37(2-3): 263-279 (2004) - 2002
- [c2]Jean-François Cardoso, Hichem Snoussi, Jacques Delabrouille:
Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging. EUSIPCO 2002: 1-4 - [c1]Hichem Snoussi, Ali Mohammad-Djafari
MCMC joint separation and segmentation of hidden Markov fields. NNSP 2002: 485-494
Coauthor Index
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