activity
20182022
most citedAutomatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models

11 citations · 20 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IR20221 cited

A Sequence-Aware Recommendation Method Based on Complex Networks

Abdullah Alhadlaq, Said Kerrache, Hatim Aboalsamh

Online stores and service providers rely heavily on recommendation softwares to guide users through the vast amount of available products. Consequently, the field of recommender sy…

cs.IR20222 cited

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

Abdullah Alhadlaq, Said Kerrache, Hatim Aboalsamh

Recommender systems have become an essential tool for providers and users of online services and goods, especially with the increased use of the Internet to access information and…

cs.CV2019

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

Helala AlShehri, Muhammad Hussain, Hatim AboAlSamh +2

The existing automatic fingerprint verification methods are designed to work under the assumption that the same sensor is installed for enrollment and authentication (regular match…

q-bio.NC20191 cited

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

Qazi Emad-Ul-Haq, Muhammad Hussain, Hatim Aboalsamh +3

Human memory -- the learning of new information involves changes at the synaptic level between neurons dedicated for storage of in-formation. Generally, memory is classified as Lon…

cs.LG201911 cited

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

Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlsamh +1

Emotions play a crucial role in human interaction, health care and security investigations and monitoring. Automatic emotion recognition (AER) using electroencephalogram (EEG) sign…

cs.LG2019

An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks

Emad-ul-Haq Qazi, Muhammad Hussain, Hatim Aboalsamh

Representation and classification of Electroencephalography (EEG) brain signals are critical processes for their analysis in cognitive tasks. Particularly, extraction of discrimina…