Aqsa Saeed Qureshi

According to our database, Aqsa Saeed Qureshi authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets.

Aqsa Saeed Qureshi, Teemu Roos

Neural Process. Lett., 2023

2021

Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Classification in Imbalanced Data Sets.

Aqsa Saeed Qureshi, Teemu Roos

CoRR, 2021

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

Asifullah Khan, Aqsa Saeed Qureshi, Noorul Wahab, Mutawarra Hussain, Muhammad Yousaf Hamza

Comput. Intell., 2021

2020

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

Aqsa Saeed Qureshi, Asifullah Khan, Nauman Shamim, Muhammad Hanif Durad

Neural Comput. Appl., 2020

Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks.

Muhammad Abbas, Asifullah Khan, Aqsa Saeed Qureshi, Muhammad Waleed Khan

CoRR, 2020

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

Aqsa Saeed Qureshi, Asifullah Khan, Muhammad Waleed Khan

CoRR, 2020

A survey of the recent architectures of deep convolutional neural networks.

Asifullah Khan, Anabia Sohail, Umme Zahoora, Aqsa Saeed Qureshi

Artif. Intell. Rev., 2020

2019

Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique.

Muhammad Furqan Rafique, Muhammad Ali, Aqsa Saeed Qureshi, Asifullah Khan, Anwar Majid Mirza

CoRR, 2019

Adaptive transfer learning in deep neural networks: Wind power prediction using knowledge transfer from region to region and between different task domains.

Aqsa Saeed Qureshi, Asifullah Khan

Comput. Intell., 2019

2017

Wind power prediction using deep neural network based meta regression and transfer learning.

Aqsa Saeed Qureshi, Asifullah Khan, Aneela Zameer, Anila Usman

Appl. Soft Comput., 2017

Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique.

Muhammad Arsalan, Aqsa Saeed Qureshi, Asifullah Khan, Muttukrishnan Rajarajan

Appl. Soft Comput., 2017