2.6k citations · 2.6k across the 7 of their papers we have counts for
7 papers
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets
Aqsa Saeed Qureshi, Teemu Roos
Several machine learning techniques for accurate detection of skin cancer from medical images have been reported. Many of these techniques are based on pre-trained convolutional ne…
Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks
Muhammad Abbas, Asifullah Khan, Aqsa Saeed Qureshi +1
Higgs boson is a fundamental particle, and the classification of Higgs signals is a well-known problem in high energy physics. The identification of the Higgs signal is a challengi…
Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture
Aqsa Saeed Qureshi, Asifullah Khan, Muhammad Waleed Khan
The wind is one of the most increasingly used renewable energy resources. Accurate and reliable forecast of wind speed is necessary for efficient power production; however, it is n…
Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique
Muhammad Furqan Rafique, Muhammad Ali, Aqsa Saeed Qureshi +2
In the case of malware analysis, categorization of malicious files is an essential part after malware detection. Numerous static and dynamic techniques have been reported so far fo…
A Recent Survey on the Applications of Genetic Programming in Image Processing
Asifullah Khan, Aqsa Saeed Qureshi, Noorul Wahab +2
Genetic Programming (GP) has been primarily used to tackle optimization, classification, and feature selection related tasks. The widespread use of GP is due to its flexible and co…
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan, Anabia Sohail, Umme Zahoora +1
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several competitions related to Computer Vision and Image Pro…