ProfessorsProfessors of Pakistan Institute of Engineering and Applied SciencesAqsa Saeed Qureshi

Aqsa Saeed Qureshi

Pakistan Institute of Engineering and Applied Sciences

H-index: 10

Asia-Pakistan

About Aqsa Saeed Qureshi

Aqsa Saeed Qureshi, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Pakistan Institute of Engineering and Applied Sciences, specializes in the field of Watermarking, Machine Learning, Deep Learning, Transfer Learning, Feature Extraction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Transfer learning with ensembles of deep neural networks for skin cancer detection in imbalanced data sets

A recent survey on the applications of genetic programming in image processing

A survey of the recent architectures of deep convolutional neural networks

Extracting signals of Higgs boson from background noise using deep neural networks

Intrusion detection using deep sparse auto-encoder and self-taught learning

Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture

Aqsa Saeed Qureshi Information

University	Pakistan Institute of Engineering and Applied Sciences
Position	___
Citations(all)	3208
Citations(since 2020)	3163
Cited By	727
hIndex(all)	10
hIndex(since 2020)	10
i10Index(all)	10
i10Index(since 2020)	10
Email	Access Email
University Profile Page	Pakistan Institute of Engineering and Applied Sciences
Google Scholar	View Google Scholar Profile

Aqsa Saeed Qureshi Skills & Research Interests

Watermarking

Machine Learning

Deep Learning

Transfer Learning

Feature Extraction

Top articles of Aqsa Saeed Qureshi

Title	Journal	Author(s)	Publication Date
Transfer learning with ensembles of deep neural networks for skin cancer detection in imbalanced data sets	Neural Processing Letters	Aqsa Saeed Qureshi Teemu Roos	2023/8
A recent survey on the applications of genetic programming in image processing	Computational Intelligence	Asifullah Khan Aqsa Saeed Qureshi Noorul Wahab Mutawarra Hussain Muhammad Yousaf Hamza	2021/11
A survey of the recent architectures of deep convolutional neural networks	Artificial intelligence review	Asifullah Khan Anabia Sohail Umme Zahoora Aqsa Saeed Qureshi	2020/12
Extracting signals of Higgs boson from background noise using deep neural networks	arXiv preprint arXiv:2010.08201	Muhammad Abbas Asifullah Khan Aqsa Saeed Qureshi Muhammad Waleed Khan	2020/10/16
Intrusion detection using deep sparse auto-encoder and self-taught learning	Neural Computing and Applications	Aqsa Saeed Qureshi Asifullah Khan Nauman Shamim Muhammad Hanif Durad	2020/4
Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture	arXiv e-prints	Aqsa Saeed Qureshi Asifullah Khan Muhammad Waleed Khan	2020/2