Hatim Aboalsamh

发表

Security in Ubiquitous Computing : A Work in Progress

Hatim Aboalsamh, Fatimah Alanizi, Mashael Bin Sabbar, 2013 .

EEG-Based BCI System to Control Prosthesis's Finger Movements

Kais Belwafi, Hatim Aboalsamh, S. Gannouni, 2020 .

An Efﬁcient Method for Breast Mass Classiﬁcation Using Pre-Trained Deep Convolutional Networks

Hatim Aboalsamh, E. Al-Mansour, M. Hussain, 2022 .

Arabic question answering system: a survey

Erik Cambria, Hatim A. Aboalsamh, Aqil M. Azmi, 2021, Artif. Intell. Rev..

A Sequence-Aware Recommendation Method Based on Complex Networks

Hatim Aboalsamh, Said Kerrache, Abdullah Alhadlaq, 2022, International Journal of Advanced Computer Science and Applications.

A Recommendation Approach based on Similarity-Popularity Models of Complex Networks

Hatim Aboalsamh, Said Kerrache, Abdullah Alhadlaq, 2022, ArXiv.

Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis

Fahman Saeed, A. Owaifeer, Hatim Aboalsamh, 2021, Mathematics.

Arabic question answering system: a survey

Aqil M. Azmi, Tahani H. Alwaneen, E. Cambria, 2021, Artificial Intelligence Review.

PCAPooL: unsupervised feature learning for face recognition using PCA, LBP, and pyramid pooling

M. Zuair, M. Hussain, Hatim Aboalsamh, 2019, Pattern Analysis and Applications.

TwoViewDensityNet: Two-View Mammographic Breast Density Classification Based on Deep Convolutional Neural Network

Hatim Aboalsamh, M. Hussain, Fazal-e-Amin, 2022, Mathematics.

DeepFingerPCANet: Automatic Fingerprint Classification Using Deep Learning

M. Hussain, Fahman Saeed, Hatim Aboalsamh, 2022, 2022 26th International Conference Information Visualisation (IV).

Automatic Fingerprint Classification Using Deep Learning Technology (DeepFKTNet)

M. Hussain, Fahman Saeed, Hatim Aboalsamh, 2022, Mathematics.

Color Histogram Features for the Classification of Brain Signals using 2D and 3D Educational Content

Hatim Aboalsamh, Emad-ul-Haq Qazi, Saeed Bamatraf, 2019, 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS).

Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents pdf

Muhammad Hussain, Hatim A. Aboalsamh, Emad-ul-Haq Qazi, 2019, ArXiv.

A Review on understanding Brain, and Memory Retention and Recall Processes using EEG and fMRI techniques

A. Malik, H. Amin, Muhammad Hussain, 2019, 1905.02136.

An Efficient Method for Breast Mass Classification Using Pre-Trained Deep Convolutional Networks

Hatim Aboalsamh, E. Al-Mansour, M. Hussain, 2022, Mathematics.

A Classification Approach for Genome Structural Variations Detection

Achraf El Allali, H. Aboalsamh, Eman Alzaid, 2018 .

A Join Algorithm for Large Databases: A Quadtrees Structure Approach

Hatim Aboalsamh, Hatim Aboalsamh, 2010, J. King Saud Univ. Comput. Inf. Sci..

Diabetic Retinopathy Screening Using Custom-Designed Convolutional Neural Network pdf

Muhammad Hussain, Hatim A. Aboalsamh, Fahman Saeed, 2021, ArXiv.

Gender Recognition Using Fusion of Local and Global Facial Features

Muhammad Ghulam, Muhammad Hussain, Hatim A. Aboalsamh, 2013, ISVC.

Optimized Gabor features for mass classification in mammography

Hassan Mathkour, Muhammad Hussain, Hatim A. Aboalsamh, 2016, Appl. Soft Comput..

An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach pdf

Ihsan Ullah, Muhammad Hussain, Hatim A. Aboalsamh, 2018, Expert Syst. Appl..

Classification of Live Scanned Fingerprints using Dense SIFT based Ridge Orientation Features

Fahman Saeed, Hatim A Aboalsamh, Muhammad Hussain, 2018, 2018 1st International Conference on Computer Applications & Information Security (ICCAIS).

Automatic Diabetic Retinopathy Diagnosis Using Adaptive Fine-Tuned Convolutional Neural Network

Muhammad Hussain, Hatim A. Aboalsamh, Fahman Saeed, 2021, IEEE Access.

Cross-Sensor Fingerprint Matching Method Based on Orientation, Gradient, and Gabor-HoG Descriptors With Score Level Fusion

Hatim A. Aboalsamh, Muhammad Hussain, Helala Alshehri, 2018, IEEE Access.

Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification

Kais Belwafi, Hatim Aboalsamh, S. Gannouni, 2021, Scientific Reports.

A novel Boolean algebraic framework for association and pattern mining

Hatim Aboalsamh, Hatim Aboalsamh, 2008 .

A Boolean algebraic framework for association and pattern mining

Hatim Aboalsamh, H. Aboalsamh, Hatim Aboalsamh, 2008 .

Adaptive Emotion Detection Using the Valence-Arousal-Dominance Model and EEG Brain Rhythmic Activity Changes in Relevant Brain Lobes

Sofien Gannouni, Kais Belwafi, Hatim Aboalsamh, 2020, IEEE Access.

Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey

Muhammad Hussain, Hatim A. Aboalsamh, Norah Asiri, 2018, Artif. Intell. Medicine.

Comparison between K mean and fuzzy C-mean methods for segmentation of near infrared fluorescent image for diagnosing prostate cancer

Hatim Aboalsamh, Rachid Sammouda, Fahman Saeed, 2015, International Conference on Computer Vision and Image Analysis Applications.

Alignment-Free Cross-Sensor Fingerprint Matching Based on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor

Hatim A. Aboalsamh, Muhammad Hussain, Aqil M. Azmi, 2019, IEEE Access.

Virtual Reality System Specifications for Pain Management Therapy

Hatim A. Aboalsamh, Hind Al Hashim, Faten Alrashed, 2011, 2011 IEEE 11th International Conference on Bioinformatics and Bioengineering.

Splicing image forgery detection based on DCT and Local Binary Pattern

Muhammad Ghulam, Muhammad Hussain, Hatim A. Aboalsamh, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Single Trial EEG Patterns for the Prediction of Individual Differences in Fluid Intelligence

Aamir Saeed Malik, Hatim Aboalsamh, Emad-ul-Haq Qazi, 2017, Front. Hum. Neurosci..

EEG-Based BCI System to Detect Fingers Movements

Sofien Gannouni, Kais Belwafi, Hatim Aboalsamh, 2020, Brain sciences.

An Effective Zeros-Time Windowing Strategy to Detect Sensorimotor Rhythms Related to Motor Imagery EEG Signals

Sofien Gannouni, Kais Belwafi, Hatim Aboalsamh, 2020, IEEE Access.

An enhanced Elliptic Curve Cryptography for biometric

O. S. Althobaiti, H. A. Aboalsamh, Hatim Aboalsamh, 2012, 2012 7th International Conference on Computing and Convergence Technology (ICCCT).

Fragile watermarking for image authentication using BRINT and ELM

Hatim Aboalsamh, Muhammad Hussain, Abdul Wadood, 2020, Multimedia Tools and Applications.

A Bimodal Emotion Recognition Approach through the Fusion of Electroencephalography and Facial Sequences

Muhammad Hussain, Hatim Aboalsamh, Farah Muhammad, 2023, Diagnostics.

Electroencephalography based emotion detection using ensemble classification and asymmetric brain activity.

Kais Belwafi, Hatim Aboalsamh, Arwa N. Aledaily, 2022, Journal of affective disorders.

A Brain Controlled Command-Line Interface to Enhance the Accessibility of Severe Motor Disabled People to Personnel Computer

Kais Belwafi, A. Belghith, Hatim Aboalsamh, 2022, Brain sciences.

Evaluation of Image Forgery Detection Using Multi-Scale Weber Local Descriptors

Muhammad Ghulam, Muhammad Hussain, George Bebis, 2013, Int. J. Artif. Intell. Tools.

Emotion Recognition System Based on Two-Level Ensemble of Deep-Convolutional Neural Network Models

I. Ullah, Hatim Aboalsamh, Emad-ul-Haq Qazi, 2023, IEEE Access.

Cross-Sensor Fingerprint Matching Using Siamese Network and Adversarial Learning

Muhammad Hussain, Hatim A. Aboalsamh, George Bebis, 2021, Sensors.

Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models pdf

Ihsan Ullah, Muhammad Hussain, Hatim A. Aboalsamh, 2019, ArXiv.

Comparison between WLD and LBP descriptors for non-intrusive image forgery detection

Muhammad Ghulam, Muhammad Hussain, Hatim A. Aboalsamh, 2014, 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings.

Passive detection of image forgery using DCT and local binary pattern

Muhammad Ghulam, Hassan Mathkour, Muhammad Hussain, 2016, Signal, Image and Video Processing.

Cross-Sensor Fingerprint Enhancement Using Adversarial Learning and Edge Loss

G. Bebis, M. Hussain, Wadood Abdul, 2022, Sensors.

A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem

Muhammad Hussain, Hatim A. Aboalsamh, Helala AlShehri, 2018, Sensors.

LDA-CNN: Linear Discriminant Analysis Convolution Neural Network for Periocular Recognition in the Wild

Hatim Aboalsamh, A. Alahmadi, M. Hussain, 2022, Mathematics.

ConvSRC: SmartPhone based Periocular Recognition using Deep Convolutional Neural Network and Sparsity Augmented Collaborative Representation pdf

Muhammad Hussain, Hatim A. Aboalsamh, Mansour Zuair, 2018, J. Intell. Fuzzy Syst..

Deep Learning-enabled Detection of Acute Ischemic Stroke using Brain Computed Tomography Images

M. Hussain, Hatim Aboalsamh, M. Al-Hameed, 2021, International Journal of Advanced Computer Science and Applications.

Embedded Brain Computer Interface: State-of-the-Art in Research

Sofien Gannouni, Hatim A. Aboalsamh, Kais Belwafi, 2021, Sensors.

Gender Classification from Facial Images Using Texture Descriptors

Muhammad Hussain, George Bebis, Ghulam Muhammad, 2014 .

Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern

Ihsan Ullah, Muhammad Ghulam, Muhammad Hussain, 2012, ISVC.

Gender recognition from face images with local WLD descriptor

Anwar M. Mirza, G. Muhammad, G. Bebis, 2012, 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP).

An efficient time series data mining technique

Alaaeldin M. Hafez, Hatim Aboalsamh, Ghazy M. R. Assassa, 2008 .

An efficient stream mining technique

Alaaeldin M. Hafez, Hatim Aboalsamh, Ghazy M. R. Assassa, 2008 .

Race Classification from Face Images using Local Descriptors

Muhammad Ghulam, Muhammad Hussain, Hatim A. Aboalsamh, 2012, Int. J. Artif. Intell. Tools.

Survey on botnet: Its architecture, detection, prevention and mitigation

Ihsan Ullah, Hatim A. Aboalsamh, Naveed Khan, 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).

Classification of Authentic and Tampered Video Using Motion Residual and Parasitic Layers

Hatim A. Aboalsamh, Usama Ijaz Bajwa, Muhammad Hussain, 2020, IEEE Access.

Computer-assisted i'raab of Arabic sentences for teaching grammar to students

Aqil M. Azmi, Hatim Aboalsamh, Zarah Mannaa, 2022, J. King Saud Univ. Comput. Inf. Sci..

Short text classification for Arabic social media tweets

Aqil M. Azmi, Samah M. Alzanin, Hatim Aboalsamh, 2022, J. King Saud Univ. Comput. Inf. Sci..

Rhythm-based heartbeat duration normalization for atrial fibrillation detection

Naif Alajlan, Md. Saiful Islam, Hatim A. Aboalsamh, 2016, Comput. Biol. Medicine.

A comparison of different Gabor feature extraction approaches for mass classification in mammography

Muhammad Hussain, Hatim A. Aboalsamh, Salabat Khan, 2015, Multimedia Tools and Applications.

EEG-Based Person Identification and Authentication Using Deep Convolutional Neural Network

M. Hussain, Hatim Aboalsamh, Laila AlShehri, 2023, Axioms.

A dynamic and self-adaptive classification algorithm for motor imagery EEG signals

Sofien Gannouni, Kais Belwafi, Hatim Aboalsamh, 2019, Journal of Neuroscience Methods.

False Positive Reduction in Breast Mass Detection Using the Fusion of Texture and Gradient Orientation Features

Muhammad Hussain, Hatim A. Aboalsamh, Mansour Zuair, 2016, ISVC.

Real-Word Errors in Arabic Texts: A Better Algorithm for Detection and Correction

Hatim Aboalsamh, Aqil M. Azmi, Manal N. Almutery, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm

Kais Belwafi, A. Belghith, Hatim Aboalsamh, 2022, Sensors.

Breast Mass Classification Using Diverse Contextual Information and Convolutional Neural Network

Fazal-E- Amin, M. Hussain, Hatim Aboalsamh, 2021, Biosensors.

Short-term and long-term memory analysis of learning using 2D and 3D educational contents

Muhammad Ghulam, Hassan Mathkour, Hatim A. Aboalsamh, 2016, Behav. Inf. Technol..

A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals

Muhammad Ghulam, Aamir Saeed Malik, Hatim A. Aboalsamh, 2015, Comput. Intell. Neurosci..

Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey

M. Hussain, Hatim Aboalsamh, Norah M. Asiri, 2018, Artif. Intell. Medicine.

Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey

Hatim Aboalsamh, Norah M. Asiri, Muhammad Hussain, 2018, ArXiv.

BCWB: A P300 Brain-Controlled Web Browser

Sofien Gannouni, Hassan Mathkour, Hatim A. Aboalsamh, 2017, Int. J. Semantic Web Inf. Syst..

Mammogram Screening for Breast Density Classification using a soft voting ensemble of Swin Transformers and ConvNext models

Fahman Saeed, Hatim Aboalsamh, M. Hussain, 2022, 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

A comparison of different Gabor feature extraction approaches for mass classification in mammography

G. Bebis, M. Hussain, Salabat Khan, 2015, Multimedia Tools and Applications.

PCAPooL: unsupervised feature learning for face recognition using PCA, LBP, and pyramid pooling

Muhammad Hussain, Hatim A. Aboalsamh, Mansour Zuair, 2019, Pattern Analysis and Applications.

Software Cost Estimation : A Tool for Object Oriented Console Applications

Hatim Aboalsamh, G. Assassa, Ghazy Assassa, 2007 .