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Hichem Frigui
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2020 – today
- 2023
- [c94]Fadoua Khmaissia, Hichem Frigui:
Improving Automatic Target Recognition in Low Data Regime using Semi-Supervised Learning and Generative Data Augmentation. CVPR Workshops 2023: 4931-4939 - [c93]Nada Baili, Hichem Frigui:
ADA-VIT: Attention-Guided Data Augmentation for Vision Transformers. ICIP 2023: 385-389 - 2022
- [j42]Aliasghar Shahrjooihaghighi
, Hichem Frigui:
Local feature selection for multiple instance learning. J. Intell. Inf. Syst. 59(1): 45-69 (2022) - [c92]Wiem Safta, Hichem Frigui:
Lung Nodules Identification in CT Scans Using Multiple Instance Learning. ICMLA 2022: 543-548 - [i3]Fadoua Khmaissia, Hichem Frigui:
Confidence-Guided Data Augmentation for Deep Semi-Supervised Training. CoRR abs/2209.08174 (2022) - 2021
- [j41]Yoganand Balagurunathan
, Andrew Beers, Michael F. McNitt-Gray
, Lubomir M. Hadjiiski, Sandy Napel
, Dmitry B. Goldgof
, Gustavo Pérez
, Pablo Arbeláez
, Alireza Mehrtash
, Tina Kapur
, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez
, Ricard Delgado-Gonzalo
, Mohammad Mehdi Farhangi, Amir A. Amini
, Renkun Ni, Xue Feng
, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey
, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour
, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani:
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021) - 2020
- [j40]Mahdi Moalla
, Hichem Frigui
, Andrew Karem, Abdelhamid Bouzid:
Application of Convolutional and Recurrent Neural Networks for Buried Threat Detection Using Ground Penetrating Radar Data. IEEE Trans. Geosci. Remote. Sens. 58(10): 7022-7034 (2020) - [c91]Benjamin Veasey, Mohammad Mehdi Farhangi, Hichem Frigui, Justin Broadhead, Michael Dahle, Aria Pezeshk, Albert Seow, Amir A. Amini:
Lung Nodule Malignancy Classification Based ON NLSTx Data. ISBI 2020: 1870-1874 - [c90]William Funke, Benjamin Veasey, Jacek M. Zurada, Hichem Frigui, Amir A. Amini:
3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j39]Mohamed Trabelsi, Hichem Frigui:
Robust fuzzy clustering for multiple instance regression. Pattern Recognit. 90: 424-435 (2019) - [j38]Jordan M. Malof
, Daniël Reichman, Andrew Karem, Hichem Frigui, K. C. Ho
, Joseph N. Wilson
, Wen-Hsiung Lee, William Cummings, Leslie M. Collins:
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. 57(9): 6929-6945 (2019) - [c89]Wiem Safta, Mohammad Mehdi Farhangi, Benjamin Veasey, Amir A. Amini, Hichem Frigui:
Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data. ISBI 2019: 1220-1224 - [c88]Aliasghar Shahrjooihaghighi, Hichem Frigui, Xiang Zhang, Xiaoli Wei, Biyun Shi, Craig J. McClain:
Ensemble feature selection for biomarker discovery in mass spectrometry-based metabolomics. SAC 2019: 19-24 - [c87]Ameni Trabelsi, Biyun Shi, Xiaoli Wei, Hichem Frigui, Xiang Zhang, Craig McClain, Aliasghar Shahrjooihaghighi:
Molecule specific normalization for protein and metabolite biomarker discovery. SAC 2019: 25-31 - 2018
- [c86]M. S. Anju Panicker, Hichem Frigui, Aaron W. Calhoun:
Cardio-Pulmonary Resuscitation (CPR) Scene Retrieval from Medical Simulation Videos Using Local Binary Patterns Over Three Orthogonal Planes. CBMI 2018: 1-6 - [c85]Mohamed Trabelsi, Hichem Frigui:
Fuzzy and Possibilistic Clustering for Multiple Instance Linear Regression. FUZZ-IEEE 2018: 1-7 - [c84]Wiem Safta, Hichem Frigui:
Multiple Instance Learning for Benign vs. Malignant Classification of Lung Nodules in CT Scans. ISSPIT 2018: 490-494 - [i2]Jordan M. Malof, Daniël Reichman, Andrew Karem, Hichem Frigui, Dominic K. C. Ho, Joseph N. Wilson, Wen-Hsiung Lee, William Cummings, Leslie M. Collins:
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar. CoRR abs/1803.03729 (2018) - 2017
- [j37]Mohammad Mehdi Farhangi
, Hichem Frigui, Albert Seow, Amir A. Amini:
3-D Active Contour Segmentation Based on Sparse Linear Combination of Training Shapes (SCoTS). IEEE Trans. Medical Imaging 36(11): 2239-2249 (2017) - [c83]Faezeh Tafazzoli, Hichem Frigui, Keishin Nishiyama:
A Large and Diverse Dataset for Improved Vehicle Make and Model Recognition. CVPR Workshops 2017: 874-881 - [c82]Aliasghar Shahrjooihaghighi, Hichem Frigui, Xiang Zhang, Xiaoli Wei, Biyun Shi, Ameni Trabelsi:
An ensemble feature selection method for biomarker discovery. ISSPIT 2017: 416-421 - 2016
- [j36]Ouiem Bchir, Hichem Frigui, Mohamed Maher Ben Ismail:
Fuzzy clustering with learnable cluster-dependent kernels. Pattern Anal. Appl. 19(4): 919-937 (2016) - [c81]Mohammad Mehdi Farhangi, Hichem Frigui, Robert Bert, Amir A. Amini:
Incorporating shape prior into active contours with a sparse linear combination of training shapes: Application to corpus callosum segmentation. EMBC 2016: 6449-6452 - [c80]Amine Ben Khalifa, Hichem Frigui:
MCMI-ANFIS: A robust multi class multiple instance Adaptive Neuro-Fuzzy Inference System. FUZZ-IEEE 2016: 1991-1998 - [c79]Andrew Karem, Hichem Frigui:
Multiple Instance Learning with multiple positive and negative target concepts. ICPR 2016: 474-479 - [c78]Faezeh Tafazzoli, Hichem Frigui:
Vehicle make and model recognition using local features and logo detection. ISIVC 2016: 353-358 - [i1]Amine Ben Khalifa, Hichem Frigui:
Multiple Instance Fuzzy Inference Neural Networks. CoRR abs/1610.04973 (2016) - 2015
- [j35]Anis Hamdi, Hichem Frigui:
Ensemble hidden Markov models with application to landmine detection. EURASIP J. Adv. Signal Process. 2015: 75 (2015) - [j34]Amine Ben Khalifa, Hichem Frigui:
Multiple Instance Mamdani Fuzzy Inference. Int. J. Fuzzy Log. Intell. Syst. 15(4): 217-231 (2015) - [c77]Andrew Karem, Hichem Frigui:
Fuzzy clustering of multiple instance data. FUZZ-IEEE 2015: 1-7 - [c76]Amine Ben Khalifa, Hichem Frigui:
MI-ANFIS: A multiple instance Adaptive Neuro-Fuzzy Inference System. FUZZ-IEEE 2015: 1-8 - [c75]Shuangshuang Jiang, Hichem Frigui, Aaron W. Calhoun:
Speaker Identification in Medical Simulation Data Using Fisher Vector Representation. ICMLA 2015: 197-201 - [c74]Amine Ben Khalifa, Hichem Frigui:
A multiple instance neuro-fuzzy inference system for fusion of multiple landmine detection algorithms. IGARSS 2015: 4312-4315 - [c73]M. S. Anju Panicker, Hichem Frigui, Aaron W. Calhoun:
Identification of cardio-pulmonary resuscitation (CPR) scenes in medical simulation videos using spatio-temporal gradient orientations. IPTA 2015: 365-369 - 2014
- [j33]Shuangshuang Jiang, Hichem Frigui, Aaron W. Calhoun:
Text-independent Speaker Identification Using Soft Bag-of-Words Feature Representation. Int. J. Fuzzy Log. Intell. Syst. 14(4): 240-248 (2014) - [j32]Mohamed Maher Ben Ismail, Hichem Frigui:
Unsupervised clustering and feature weighting based on Generalized Dirichlet mixture modeling. Inf. Sci. 274: 35-54 (2014) - [c72]Hichem Frigui, S. Rawungyot
, A. Hamdi:
Identification of cardio-pulmonary resuscitation (CPR) scenes in video simulating medical crises. ATSIP 2014: 100-105 - [c71]Naouel Baili, Hichem Frigui:
Incremental fuzzy clustering with multiple kernels. ATSIP 2014: 289-294 - [c70]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Context dependent hyperspectral subpixel target detection. ICIP 2014: 5062-5066 - [c69]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Robust Context Dependent Spectral Unmixing. ICPR 2014: 643-647 - [c68]Amine Ben Khalifa, Hichem Frigui:
Fusion of multiple landmine detection algorithms using an adaptive neuro fuzzy inference system. IGARSS 2014: 3148-3151 - [c67]Hamdi Jenzri, Hichem Frigui:
Robust unmixing using consensus analysis. WHISPERS 2014: 1-4 - 2013
- [j31]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Multi-stream continuous hidden Markov models with application to landmine detection. EURASIP J. Adv. Signal Process. 2013: 40 (2013) - [j30]Ouiem Bchir, Hichem Frigui, Mohamed Maher Ben Ismail:
Semi-Supervised Fuzzy Clustering with Learnable Cluster dependent Kernels. Int. J. Artif. Intell. Tools 22(3) (2013) - [j29]Hichem Frigui, Ouiem Bchir, Naouel Baili:
An Overview of Unsupervised and Semi-Supervised Fuzzy Kernel Clustering. Int. J. Fuzzy Log. Intell. Syst. 13(4): 254-268 (2013) - [j28]Alina Zare
, Paul D. Gader, Ouiem Bchir, Hichem Frigui:
Piecewise Convex Multiple-Model Endmember Detection and Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 51(5-1): 2853-2862 (2013) - [c66]Ouiem Bchir, Mohamed Maher Ben Ismail, Hichem Frigui:
Mixture analysis based on spectral summarization. WHISPERS 2013: 1-4 - [c65]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Graph constrained multi-model unmixing using LIDAR information. WHISPERS 2013: 1-4 - 2012
- [j27]Hichem Frigui, Lijun Zhang, Paul D. Gader, Joseph N. Wilson, K. C. Ho, Andres Mendez-Vazquez:
An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination. Inf. Fusion 13(2): 161-174 (2012) - [j26]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Adaptive Local Fusion With Fuzzy Integrals. IEEE Trans. Fuzzy Syst. 20(5): 849-864 (2012) - [c64]Naouel Baili, Hichem Frigui:
Fuzzy clustering with multiple kernels in feature space. FUZZ-IEEE 2012: 1-8 - [c63]Alina Zare
, Ouiem Bchir, Hichem Frigui, Paul D. Gader:
Hyperspectral image analysis with piece-wise convex endmember estimation and spectral unmixing. ICIP 2012: 2681-2684 - [c62]Haythem Balti, Hichem Frigui:
Feature Mapping and Fusion for Music Genre Classification. ICMLA (1) 2012: 306-310 - [c61]Shuangshuang Jiang, Hichem Frigui, Aaron W. Calhoun:
Semantic Indexing of Video Simulations for Enhancing Medical Care During Crises. ICMLA (1) 2012: 520-525 - [c60]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Context Dependent Spectral Unmixing. MLSP 2012: 1-6 - 2011
- [j25]Jeremy Bolton, Paul D. Gader, Hichem Frigui, Peter Torrione:
Random set framework for multiple instance learning. Inf. Sci. 181(11): 2061-2070 (2011) - [j24]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Land-Mine Detection With Ground-Penetrating Radar Using Multistream Discrete Hidden Markov Models. IEEE Trans. Geosci. Remote. Sens. 49(6-1): 2080-2099 (2011) - [c59]Naouel Baili, Hichem Frigui:
Fuzzy clustering with Multiple Kernels. FUZZ-IEEE 2011: 490-496 - [c58]Ouiem Bchir, Hichem Frigui:
Fuzzy clustering with Learnable Cluster dependent Kernels. FUZZ-IEEE 2011: 2521-2527 - [c57]Naouel Baili, Hichem Frigui:
Relational Fuzzy Clustering with Multiple Kernels. ICDM Workshops 2011: 488-495 - [c56]M. Maher Ben Ismail, Hichem Frigui:
Image database categorization using robust unsupervised learning of finite generalized dirichlet mixture models. ICIP 2011: 2457-2460 - [c55]Anis Hamdi, Hichem Frigui:
Landmine detection using an ensemble of continuous HMMs with multiple features. IGARSS 2011: 63-66 - [c54]Andrew Karem, Hichem Frigui:
A multiple instance learning approach for landmine detection using Ground Penetrating Radar. IGARSS 2011: 878-881 - 2010
- [j23]Hichem Frigui, Lijun Zhang, Paul D. Gader:
Context-Dependent Multisensor Fusion and Its Application to Land Mine Detection. IEEE Trans. Geosci. Remote. Sens. 48(6): 2528-2543 (2010) - [c53]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Local Fusion with Fuzzy Integrals. FUZZ-IEEE 2010: 1-7 - [c52]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
A noise robust variant of context extraction for local fusion. FUZZ-IEEE 2010: 1-6 - [c51]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Adaptive Local Fusion with Neural Networks. ICANN (2) 2010: 486-491 - [c50]M. Maher Ben Ismail, Hichem Frigui:
Possibilistic Clustering Based on Robust Modeling of Finite Generalized Dirichlet Mixture. ICPR 2010: 573-576 - [c49]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Model level fusion of edge histogram descriptors and gabor wavelets for landmine detection with ground penetrating radar. IGARSS 2010: 3378-3381 - [c48]Anis Hamdi, Oualid Missaoui, Hichem Frigui:
AN SVM classifier with HMM-based kernel for landmine detection using ground penetrating radar. IGARSS 2010: 4196-4199 - [c47]M. Maher Ben Ismail, Hichem Frigui:
Image database categorization using robust modeling of finite Generalized Dirichlet mixture. IPTA 2010: 334-339 - [c46]Ouiem Bchir, Hichem Frigui, Alina Zare
, Paul D. Gader:
Multiple model endmember detection based on spectral and spatial information. WHISPERS 2010: 1-4 - [c45]Alina Zare
, Ouiem Bchir, Hichem Frigui, Paul D. Gader:
A comparison of deterministic and probabilistic approaches to endmember representation. WHISPERS 2010: 1-4 - [c44]Alina Zare
, Ouiem Bchir, Hichem Frigui, Paul D. Gader:
Spatially-smooth piece-wise convex endmember detection. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j22]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
RKF-PCA: Robust kernel fuzzy PCA. Neural Networks 22(5-6): 642-650 (2009) - [j21]Hichem Frigui, Paul D. Gader:
Detection and Discrimination of Land Mines in Ground-Penetrating Radar Based on Edge Histogram Descriptors and a Possibilistic K-Nearest Neighbor Classifier. IEEE Trans. Fuzzy Syst. 17(1): 185-199 (2009) - [c43]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Context extraction for local fusion using fuzzy clustering and feature discrimination. FUZZ-IEEE 2009: 490-495 - [c42]Aleksey Fadeev, Oualid Missaoui, Hichem Frigui:
Dominant Audio Descriptors for Audio Classification and Retrieval. ICMLA 2009: 75-78 - [c41]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Discriminative Multi-stream Discrete Hidden Markov Models. ICMLA 2009: 178-183 - [c40]Lijun Zhang, Hichem Frigui, Paul D. Gader:
Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning. ICMLA 2009: 190-195 - [c39]Aleksey Fadeev, Oualid Missaoui, Hichem Frigui:
Ensemble Possibilistic K-NN for Functional Clustering of Gene Expression Profiles in Human Cancers Challenge. ICMLA 2009: 439-442 - [c38]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
Robust kernel PCA using fuzzy membership. IJCNN 2009: 1213-1220 - [c37]M. Maher Ben Ismail, Hichem Frigui:
Image annotation based on constrained clustering and semi-naive bayesian model. ISCC 2009: 431-436 - [c36]Lijun Zhang, Hichem Frigui, Paul D. Gader, Jeremy Bolton:
Context-Dependent Fusion for mine detection using Airborne Hyperspectral Imagery. WHISPERS 2009: 1-4 - 2008
- [j20]Dae-Jin Kim, Hichem Frigui, Aleksey Fadeev:
A generic approach to semantic video indexing using adaptive fusion of multimodal classifiers. Int. J. Imaging Syst. Technol. 18(2-3): 124-136 (2008) - [j19]Hichem Frigui, Cheul Hwang:
Fuzzy Clustering and Aggregation of Relational Data With Instance-Level Constraints. IEEE Trans. Fuzzy Syst. 16(6): 1565-1581 (2008) - [c35]Hichem Frigui, Joshua Caudill, Ahmed Chamseddine Ben Abdallah:
Fusion of multi-modal features for efficient content-based image retrieval. FUZZ-IEEE 2008: 1992-1998 - [c34]Hichem Frigui, Jason Meredith:
Image database categorization under spatial constraints using adaptive constrained clustering. FUZZ-IEEE 2008: 2268-2276 - [c33]Aleksey Fadeev, Hichem Frigui:
Dominant Texture Descriptors for image classification and retrieval. ICIP 2008: 989-992 - [c32]Hichem Frigui, Rami Mahdi, Jason Meredith:
Combining feedbackand image database categorization in CBIR. ICME 2008: 1277-1280 - [c31]Oualid Missaoui, Hichem Frigui:
Optimal feature weighting for the discrete HMM. ICPR 2008: 1-4 - [c30]Oualid Missaoui, Hichem Frigui:
Optimal feature weighting for the continuous HMM. ICPR 2008: 1-4 - [c29]Hichem Frigui, Lijun Zhang, Paul D. Gader:
Context-Dependent Multi-Sensor Fusion for Landmine Detection. IGARSS (2) 2008: 371-374 - [c28]Hichem Frigui, Cheul Hwang:
Semi-supervised Clustering and Aggregation of Relational Data. ISCC 2008: 590-595 - [p1]Hichem Frigui:
MembershipMap: A Data Transformation for Knowledge Discovery Based on Granulation and Fuzzy Membership Aggregation. Computational Intelligence Paradigms 2008: 51-76 - 2007
- [j18]Hichem Frigui, Cheul Hwang, Frank Chung-Hoon Rhee:
Clustering and aggregation of relational data with applications to image database categorization. Pattern Recognit. 40(11): 3053-3068 (2007) - [j17]Joseph N. Wilson, Paul D. Gader, Wen-Hsiung Lee, Hichem Frigui, K. C. Ho:
A Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination. IEEE Trans. Geosci. Remote. Sens. 45(8): 2560-2572 (2007) - [c27]Aleksey Fadeev, Hichem Frigui, Dae-Jin Kim, Adel Elmaghraby
:
Transformation of Relational Features for Use with Conventional Classifiers. FUZZ-IEEE 2007: 1-6 - [c26]Hichem Frigui, Rami Mahdi:
Semi-Supervised Clustering and Feature Discrimination with Instance-Level Constraints. FUZZ-IEEE 2007: 1-6 - [c25]Hichem Frigui, Cheul Hwang:
Adaptive Concept Learning through Clustering and Aggregation of Relational Data. SDM 2007: 90-101 - [c24]Hichem Frigui, Joshua Caudill:
Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus. SDM 2007: 479-484 - 2006
- [j16]Hichem Frigui:
MembershipMap: Data Transformation Based on Granulation and Fuzzy Membership Aggregation. IEEE Trans. Fuzzy Syst. 14(6): 885-896 (2006) - [c23]Hichem Frigui, Joshua Caudill:
Unsupervised Image Segmentation and Annotation for Content-Based Image Retrieval. FUZZ-IEEE 2006: 72-77 - [c22]Hichem Frigui, Paul D. Gader:
Detection and Discrimination of Land Mines based on Edge Histogram Descriptors and Fuzzy K-Nearest Neighbors. FUZZ-IEEE 2006: 1494-1499 - [c21]Hichem Frigui, Joshua Caudill:
Region Based Image Annotation. ICIP 2006: 953-956 - [c20]Hichem Frigui, Joshua Caudill:
Building a Multi-Modal Thesaurus from Annotated Images. ICPR (4) 2006: 198-201 - [c19]Hichem Frigui, Cheul Hwang:
Clustering and aggregation of relational data with applications to image database categorization. IMSA 2006: 199-204 - [c18]Yufeng Zheng, Adel Said Elmaghraby
, Hichem Frigui:
Three-band MRI image fusion utilizing the wavelet-based method optimized with two quantitative fusion metrics. Medical Imaging: Image Processing 2006: 61440R - [c17]Hichem Houissa, Nozha Boujemaa, Hichem Frigui:
Adaptive Visual Regions Categorization with Sets of Points of Interest. PCM 2006: 485-493 - 2005
- [j15]Hichem Frigui, K. C. Ho, Paul D. Gader:
Real-Time Landmine Detection with Ground-Penetrating Radar Using Discriminative and Adaptive Hidden Markov Models. EURASIP J. Adv. Signal Process. 2005(12): 1867-1885 (2005) - [j14]Hichem Frigui:
Unsupervised learning of arbitrarily shaped clusters using ensembles of Gaussian models. Pattern Anal. Appl. 8(1-2): 32-49 (2005) - [c16]Hichem Frigui:
Unsupervised Identification of Points of Interest for Semi-Supervised Learning. FUZZ-IEEE 2005: 91-96 - 2004
- [j13]Hichem Frigui, Olfa Nasraoui
:
Unsupervised learning of prototypes and attribute weights. Pattern Recognit. 37(3): 567-581 (2004) - [c15]Hichem Frigui:
Membershipmap: a data transformation approach for knowledge discovery in databases. FUZZ-IEEE 2004: 1147-1152 - [c14]Hichem Frigui, Paul D. Gader, Kotturu Satyanarayana:
Landmine detection with ground penetrating radar using fuzzy k-nearest neighbors. FUZZ-IEEE 2004: 1745-1749 - [c13]Hichem Frigui:
MembershipMap: Data Transformation Based on Membership Aggregation. ICPR (2) 2004: 463-466 - [c12]Hichem Frigui:
Projection and Visualization based on Synchronization of Coupled Oscillators. ICPR (4) 2004: 561-564 - [c11]Hichem Frigui:
Visualizing and Browsing Large Image Databases. IKE 2004: 68-74 - 2003
- [c10]Hichem Frigui, Kotturu Satyanarayana, Paul D. Gader:
Detection of land mines using fuzzy and possibilistic membership functions. FUZZ-IEEE 2003: 834-839 - [c9]Hichem Frigui, Salem Salem:
Fuzzy clustering and subset feature weighting. FUZZ-IEEE 2003: 857-862 - [c8]Hichem Frigui, Nozha Boujemaa:
Clustering fuzzy sets with application to image database categorization. FUZZ-IEEE 2003: 1182-1187 - [c7]Hichem Frigui:
Unsupervised learning of arbitrarily shaped clusters with application to image database categorization. Storage and Retrieval for Media Databases 2003: 462-473 - 2002
- [c6]Hichem Frigui, Olfa Nasraoui:
Simultaneous categorization of text documents and identification of cluster-dependent keywords. FUZZ-IEEE 2002: 1108-1113 - [c5]Hichem Frigui:
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets. KDD 2002: 507-512 - 2001
- [j12]Mohamed Ben Hadj Rhouma, Hichem Frigui:
Self-Organization of Pulse-Coupled Oscillators with Application to Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 180-195 (2001) - [j11]Hichem Frigui:
Interactive image retrieval using fuzzy sets. Pattern Recognit. Lett. 22(9): 1021-1031 (2001) - [c4]Hichem Frigui, Paul D. Gader, Raghu Krishnapuram:
Handwritten Character Membership Function Estimation for Word Recognition. FUZZ-IEEE 2001: 928-931 - [c3]Hichem Frigui, Mohamed Ben Hadj Rhouma:
A Synchronization Based Algorithm for Discovering Ellipsoidal Clusters in Large Datasets. ICDM 2001: 139-146 - 2000
- [j10]Olfa Nasraoui, Hichem Frigui, Raghu Krishnapuram, Anupam Joshi:
Extracting Web User Profiles Using Relational Competitive Fuzzy Clustering. Int. J. Artif. Intell. Tools 9(4): 509-526 (2000) - [j9]Paul D. Gader, Bruce N. Nelson, Hichem Frigui, Gary Vaillette, James M. Keller:
Fuzzy logic detection of landmines with ground penetrating radar. Signal Process. 80(6): 1069-1084 (2000) - [c2]Hichem Frigui, Olfa Nasraoui:
Simultaneous clustering and attribute discrimination. FUZZ-IEEE 2000: 158-163
1990 – 1999
- 1999
- [j8]Hichem Frigui, Raghu Krishnapuram:
A Robust Competitive Clustering Algorithm With Applications in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 21(5): 450-465 (1999) - 1997
- [j7]Hichem Frigui, Raghu Krishnapuram:
Clustering by competitive agglomeration. Pattern Recognit. 30(7): 1109-1119 (1997) - 1996
- [j6]Hichem Frigui, Raghu Krishnapuram:
A robust algorithm for automatic extraction of an unknown number of clusters from noisy data. Pattern Recognit. Lett. 17(12): 1223-1232 (1996) - [j5]Hichem Frigui, Raghuram Krishnapuram:
A comparison of fuzzy shell-clustering methods for the detection of ellipses. IEEE Trans. Fuzzy Syst. 4(2): 193-199 (1996) - [c1]Hichem Frigui, Raghu Krishnapuram:
A Robust Clustering Algorithm Based on Competitive Agglomeration and Soft Rejection of Outliers. CVPR 1996: 550-555 - 1995
- [j4]Raghuram Krishnapuram, Hichem Frigui, Olfa Nasraoui
:
Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. I. IEEE Trans. Fuzzy Syst. 3(1): 29-43 (1995) - [j3]Raghuram Krishnapuram, Hichem Frigui, Olfa Nasraoui
:
Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. II. IEEE Trans. Fuzzy Syst. 3(1): 44-60 (1995) - 1993
- [j2]Raghu Krishnapuram, Hichem Frigui, Olfa Nasraoui
:
The Fuzzy C Quadric Shell clustering algorithm and the detection of second-degree curves. Pattern Recognit. Lett. 14(7): 545-552 (1993) - 1992
- [j1]Raghu Krishnapuram, Olfa Nasraoui
, Hichem Frigui:
The fuzzy c spherical shells algorithm: A new approach. IEEE Trans. Neural Networks 3(5): 663-671 (1992)
Coauthor Index
aka: Raghuram Krishnapuram
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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
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to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-08 21:42 CEST by the dblp team
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