Amina Asif

According to our database, Amina Asif authored at least 24 papers between 2016 and 2023.

Collaborative distances:

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

2023

An aggregation of aggregation methods in computational pathology.

Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot

Medical Image Anal., August, 2023

2022

Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images.

Ruoyu Wang, Syed Ali Khurram, Amina Asif, Lawrence Young, Nasir M. Rajpoot

CoRR, 2022

REET: robustness evaluation and enhancement toolbox for computational pathology.

Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas

Bioinform., 2022

2021

MILAMP: Multiple Instance Prediction of Amyloid Proteins.

Farzeen Munir, Sadaf Gull, Amina Asif, Fayyaz ul Amir Afsar Minhas

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses.

Le Huang, Bowen Yang, Haidong Yi, Amina Asif, Jiawei Wang, Trevor Lithgow, Han Zhang, Fayyaz ul Amir Afsar Minhas, Yanbin Yin

Nucleic Acids Res., 2021

Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits.

Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot

CoRR, 2021

Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology.

Alex Foote, Amina Asif, Ayesha Azam, Tim Marshall-Cox, Nasir M. Rajpoot, Fayyaz A. Minhas

CoRR, 2021

A Generalized Meta-loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression.

Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery.

Muhammad Dawood, Amina Asif, Fayyaz ul Amir Afsar Minhas

Neural Comput. Appl., 2020

PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning.

Amina Asif, Muhammad Dawood, Bismillah Jan, Javaid Khurshid, Mark DeMaria, Fayyaz ul Amir Afsar Minhas

Neural Comput. Appl., 2020

Generalized Neural Framework for Learning with Rejection.

Amina Asif, Fayyaz ul Amir Afsar Minhas

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients.

Asfand Yaar, Amina Asif, Shan E Ahmed Raza, Nasir M. Rajpoot, Fayyaz A. Minhas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An embarrassingly simple approach to neural multiple instance classification.

Amina Asif, Fayyaz ul Amir Afsar Minhas

Pattern Recognit. Lett., 2019

Learning Neural Activations.

Fayyaz ul Amir Afsar Minhas, Amina Asif

CoRR, 2019

Generalized Learning with Rejection for Classification and Regression Problems.

Amina Asif, Fayyaz ul Amir Afsar Minhas

CoRR, 2019

Ten ways to fool the masses with machine learning.

Fayyaz ul Amir Afsar Minhas, Amina Asif, Asa Ben-Hur

CoRR, 2019

2018

Correlation Filters for Detection of Cellular Nuclei in Histopathology Images.

Asif Ahmad, Amina Asif, Nasir M. Rajpoot, Muhammad Arif, Fayyaz ul Amir Afsar Minhas

J. Medical Syst., 2018

Training host-pathogen protein-protein interaction predictors.

Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Sadaf Gull, Fayyaz ul Amir Afsar Minhas

J. Bioinform. Comput. Biol., 2018

A generalized meta-loss function for distillation and learning using privileged information for classification and regression.

Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas

CoRR, 2018

Learning protein binding affinity using privileged information.

Wajid Arshad Abbasi, Amina Asif, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas

BMC Bioinform., 2018

2017

Training large margin host-pathogen protein-protein interaction predictors.

Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Fayyaz ul Amir Afsar Minhas

CoRR, 2017

pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications.

Amina Asif, Wajid Arshad Abbasi, Farzeen Munir, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas

CoRR, 2017

Machine Learning with Abstention for Automated Liver Disease Diagnosis.

Kanza Hamid, Amina Asif, Wajid Arshad Abbasi, Durre Sabih, Fayyaz ul Amir Afsar Minhas

Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017

2016

CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data.

Fayyaz ul Amir Afsar Minhas, Amina Asif, Muhammad Arif

Comput. Biol. Medicine, 2016