2.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Pakistan Institute of Nuclear Science and TechnologyPK4 papers
- Quaid-i-Azam UniversityPK4 papers
- University of Azad Jammu and KashmirPK4 papers
- Chinese Academy of SciencesCN3 papers
- Delft University of TechnologyNL3 papers
- Institute of PhysicsPL3 papers
- Khalifa University of Science and TechnologyAE3 papers
- Namal UniversityPK3 papers
- Songshan Lake Materials LaboratoryCN3 papers
- University of Chinese Academy of SciencesCN3 papers
- University of Mianwali3 papers
- Abdus Salam Centre for PhysicsPK2 papers
7 papers · 1 filter
An embarrassingly simple approach to neural multiple instance classification
Amina Asif, Fayyaz ul Amir Afsar Minhas
Multiple Instance Learning (MIL) is a weak supervision learning paradigm that allows modeling of machine learning problems in which labels are available only for groups of examples…
Ten ways to fool the masses with machine learning
Fayyaz Minhas, Amina Asif, Asa Ben-Hur
If you want to tell people the truth, make them laugh, otherwise they'll kill you. (source unclear) Machine learning and deep learning are the technologies of the day for developin…
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
Uzair Ahmed, Asifullah Khan, Saddam Hussain Khan +3
A churn prediction system guides telecom service providers to reduce revenue loss. However, the development of a churn prediction system for a telecom industry is a challenging tas…
Machine Learning with Abstention for Automated Liver Disease Diagnosis
Kanza Hamid, Amina Asif, Wajid Abbasi +2
This paper presents a novel approach for detection of liver abnormalities in an automated manner using ultrasound images. For this purpose, we have implemented a machine learning m…
A Generalized Meta-loss function for regression and classification using privileged information
Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas
Learning using privileged information (LUPI) is a powerful heterogenous feature space machine learning framework that allows a machine learning model to learn from highly informati…
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
Transfer Learning (TL) in Deep Neural Networks is gaining importance because in most of the applications, the labeling of data is costly and time-consuming. Additionally, TL also p…
Training large margin host-pathogen protein-protein interaction predictors
Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif +1
Detection of protein-protein interactions (PPIs) plays a vital role in molecular biology. Particularly, infections are caused by the interactions of host and pathogen proteins. It…