Hamid Hassanpour

Orcid: 0000-0002-5513-9822

According to our database1, Hamid Hassanpour authored at least 80 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Enhancing face recognition with latent space data augmentation and facial posture reconstruction.
Expert Syst. Appl., March, 2024

Combining deep features and hand-crafted features for abnormality detection in WCE images.
Multim. Tools Appl., January, 2024

2023
A semi-supervised framework for concept-based hierarchical document clustering.
World Wide Web (WWW), November, 2023

Abnormalities detection in wireless capsule endoscopy images using EM algorithm.
Vis. Comput., July, 2023

Enhancing Wireless Capsule Endoscopy images from intense illumination specular reflections using the homomorphic filter.
Biomed. Signal Process. Control., July, 2023

FRA: A novel Face Representation Augmentation algorithm for face recognition.
CoRR, 2023

Semi-Supervised Anomaly Detection in Electronic-Exam Proctoring Based on Skeleton Similarity.
Proceedings of the 11th European Workshop on Visual Information Processing, 2023

A Question Summarization Method based-on Deep Learning in Persian Language.
Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023

2022
Event prediction in social network through Twitter messages analysis.
Soc. Netw. Anal. Min., 2022

Correction to: People re-identification under occlusion and crowded background.
Multim. Tools Appl., 2022

People re-identification under occlusion and crowded background.
Multim. Tools Appl., 2022

A new paradigm for image quality assessment based on human abstract layers of quality perception.
Multim. Tools Appl., 2022

Face recognition in a large dataset using a hierarchical classifier.
Multim. Tools Appl., 2022

An Expanded MLP Neural Network for Fast Angiodysplasia Lesions Segmentation in Capsule Endoscopy Images.
Int. J. Artif. Intell. Tools, 2022

An evolutionary event detection model using the Matrix Decomposition Oriented Dirichlet Process.
Expert Syst. Appl., 2022

Feature extraction for abnormality detection in capsule endoscopy images.
Biomed. Signal Process. Control., 2022

2021
Frontal face modeling using morphing-based averaging and Low-rank decomposition.
Multim. Tools Appl., 2021

Cystoscopic Image Classification by Unsupervised Feature Learning and Fusion of Classifiers.
IEEE Access, 2021

A Color-Based Re-Ranking Process for People Re-Identification.
Proceedings of the 9th European Workshop on Visual Information Processing, 2021

2020
Blind Quality Metric for Contrast-Distorted Images Based on Eigendecomposition of Color Histograms.
IEEE Trans. Circuits Syst. Video Technol., 2020

A comprehensive system for image scene classification.
Multim. Tools Appl., 2020

Face recognition using non-negative matrix factorization with a single sample per person in a large database.
Multim. Tools Appl., 2020

Spike Detection Based on the Adaptive Time-Frequency Analysis.
Circuits Syst. Signal Process., 2020

2019
A cascading scheme for speeding up multiple classifier systems.
Pattern Anal. Appl., 2019

Rule extraction for fatty liver detection using neural networks.
Neural Comput. Appl., 2019

A comparative performance analysis of different activation functions in LSTM networks for classification.
Neural Comput. Appl., 2019

An adaptive block based un-sharp masking for image quality enhancement.
Multim. Tools Appl., 2019

Blind motion image deblurring using an effective blur kernel prior.
Multim. Tools Appl., 2019

User preferences modeling using dirichlet process mixture model for a content-based recommender system.
Knowl. Based Syst., 2019

Image quality assessment using a novel region smoothness measure.
J. Vis. Commun. Image Represent., 2019

A Computer- Aided Method to Detect Bleeding Frames in Capsule Endoscopy Images.
Proceedings of the 8th European Workshop on Visual Information Processing, 2019

2018
A Cascaded Part-Based System for Fine-Grained Vehicle Classification.
IEEE Trans. Intell. Transp. Syst., 2018

A content recognizability measure for image quality assessment considering the high frequency attenuating distortions.
Multim. Tools Appl., 2018

No-reference image quality assessment based on localized discrete cosine transform for JPEG compressed images.
Multim. Tools Appl., 2018

Image compression using JPEG with reduced blocking effects via adaptive down-sampling and self-learning image sparse representation.
Multim. Tools Appl., 2018

Image Zooming Using a Multi-layer Neural Network.
Comput. J., 2018

2017
Automatic estimation and segmentation of partial blur in natural images.
Vis. Comput., 2017

Local motion deblurring using an effective image prior based on both the first- and second-order gradients.
Mach. Vis. Appl., 2017

Body orientation estimation with the ensemble of logistic regression classifiers.
Multim. Tools Appl., 2017

Model-based full reference image blurriness assessment.
Multim. Tools Appl., 2017

Part-based recognition of vehicle make and model.
IET Image Process., 2017

User trends modeling for a content-based recommender system.
Expert Syst. Appl., 2017

Non-blind image deconvolution using a regularization based on re-blurring process.
Comput. Vis. Image Underst., 2017

Employing image processing techniques for cancer detection using microarray images.
Comput. Biol. Medicine, 2017

2016
A noise-immune no-reference metric for estimating blurriness value of an image.
Signal Process. Image Commun., 2016

Gender classification based on fuzzy clustering and principal component analysis.
IET Comput. Vis., 2016

Using a time-frequency distribution to identify buried channels in reflection seismic data.
Digit. Signal Process., 2016

2013
A hybrid evolutionary approach to segmentation of non-stationary signals.
Digit. Signal Process., 2013

2012
An adaptive meta-search engine considering the user's field of interest.
J. King Saud Univ. Comput. Inf. Sci., 2012

A self-tuning hybrid active noise control system.
J. Frankl. Inst., 2012

Time domain signal enhancement based on an optimized singular vector denoising algorithm.
Digit. Signal Process., 2012

Proposing a light weight semi-distributed IDS for mobile ad-hoc network based on nodes' mode.
Proceedings of the 6th International Symposium on Telecommunications, 2012

2011
Video Frame's Background Modeling: Reviewing the Techniques.
J. Signal Inf. Process., 2011

2010
A novel speech enhancement approach based on Singular Value Decomposition and Genetic Algorithm.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

An improved adaptive signal segmentation method using fractal dimension.
Proceedings of the 10th International Conference on Information Sciences, 2010

A locally-adaptive approach for image gamma correction.
Proceedings of the 10th International Conference on Information Sciences, 2010

2009
Designing a new robust on-line secondary path modeling technique for feedforward active noise control systems.
Signal Process., 2009

A self-tuning feedforward active noise control system.
IEICE Electron. Express, 2009

Using Hidden Markov Models for paper currency recognition.
Expert Syst. Appl., 2009

An efficient online secondary path estimation for feedback active noise control systems.
Digit. Signal Process., 2009

A Novel Pixon-Based Approach for Image Segmentation Using Wavelet Thresholding Method.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

2008
A time-frequency approach for noise reduction.
Digit. Signal Process., 2008

Benefiting White Noise in Developing Feedforward Active Noise Control Systems.
Proceedings of the Advances in Computer Science and Engineering, 2008

A New Feedback ANC System Approach.
Proceedings of the Advances in Computer Science and Engineering, 2008

A variable step-size FxLMS algorithm for feedforward active noise control systems based on a new online secondary path modelling technique.
Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications, 2008

2007
Feature extraction for paper currency recognition.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Image enhancement using diffusion equations.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Improved SVD-Based Technique for Enhancing the Time-Frequency Representation of Signals.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2006
Fetal ECG Extraction Using Wavelet Transform.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005
Newborn EEG simulation from nonlinear analysis.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

A HISTOGRAM-BASED ELECTROENCEPHALOGRAM SPIKE DETECTION.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Comparative performance of time-frequency based EEG spike detection techniques.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Time-Frequency Feature Extraction of Newborn EEG Seizure Using SVD-Based Techniques.
EURASIP J. Adv. Signal Process., 2004

EEG spike detection using time-frequency signal analysis.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Neonatal EEG seizure detection using spike signatures in the time-frequency domain.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Enhanced time-frequency features for neonatal EEG seizure detection.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

A time-frequency approach for spike detection.
Proceedings of the 2003 10th IEEE International Conference on Electronics, 2003

Comparative performance of time-frequency based newborn EEG seizure detection using spike signatures.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Time-frequency analysis of high-frequency activity for seizure detection and tracking in neonate.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Time-frequency extraction of EEG spike events for seizure detection in neonate.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001


  Loading...