Amina Asif

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 28

Top Topics

Classification And Regression Problems

Multiple Instance

Satellite Imagery

Top Venues

Neural Comput. Appl.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot
An aggregation of aggregation methods in computational pathology. Medical Image Anal. 88 (2023)
Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas
REET: robustness evaluation and enhancement toolbox for computational pathology. Bioinform. 38 (12) (2022)
Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. CoRR (2022)
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot
An Aggregation of Aggregation Methods in Computational Pathology. CoRR (2022)
Ruoyu Wang, Syed Ali Khurram, Amina Asif, Lawrence Young, Nasir M. Rajpoot
Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images. CoRR (2022)
Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. CoRR (2021)
Farzeen Munir, Sadaf Gull, Amina Asif, Fayyaz ul Amir Afsar Minhas
MILAMP: Multiple Instance Prediction of Amyloid Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Le Huang, Bowen Yang, Haidong Yi, Amina Asif, Jiawei Wang, Trevor Lithgow, Han Zhang, Fayyaz ul Amir Afsar Minhas, Yanbin Yin
AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. Nucleic Acids Res. 49 (Database-Issue) (2021)
Alex Foote, Amina Asif, Ayesha Azam, Tim Marshall-Cox, Nasir M. Rajpoot, Fayyaz A. Minhas
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology. CoRR (2021)
Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas
A Generalized Meta-loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression. ICANN (3) (2021)
Amina Asif, Fayyaz ul Amir Afsar Minhas
Generalized Neural Framework for Learning with Rejection. IJCNN (2020)
Muhammad Dawood, Amina Asif, Fayyaz ul Amir Afsar Minhas
Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery. Neural Comput. Appl. 32 (13) (2020)
Asfand Yaar, Amina Asif, Shan e Ahmed Raza, Nasir M. Rajpoot, Fayyaz A. Minhas
Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients. CVPR Workshops (2020)
Amina Asif, Muhammad Dawood, Bismillah Jan, Javaid Khurshid, Mark DeMaria, Fayyaz ul Amir Afsar Minhas
PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning. Neural Comput. Appl. 32 (9) (2020)
Fayyaz ul Amir Afsar Minhas, Amina Asif, Asa Ben-Hur
Ten ways to fool the masses with machine learning. CoRR (2019)
Amina Asif, Fayyaz ul Amir Afsar Minhas
Generalized Learning with Rejection for Classification and Regression Problems. CoRR (2019)
Fayyaz ul Amir Afsar Minhas, Amina Asif
Learning Neural Activations. CoRR (2019)
Amina Asif, Fayyaz ul Amir Afsar Minhas
An embarrassingly simple approach to neural multiple instance classification. Pattern Recognit. Lett. 128 (2019)
Amina Asif, Fayyaz ul Amir Afsar Minhas
An embarrassingly simple approach to neural multiple instance classification. CoRR (2019)
Kanza Hamid, Amina Asif, Wajid Arshad Abbasi, Durre Sabih, Fayyaz ul Amir Afsar Minhas
Machine Learning with Abstention for Automated Liver Disease Diagnosis. CoRR (2018)
Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas
A generalized meta-loss function for distillation and learning using privileged information for classification and regression. CoRR (2018)
Asif Ahmad, Amina Asif, Nasir M. Rajpoot, Muhammad Arif, Fayyaz ul Amir Afsar Minhas
Correlation Filters for Detection of Cellular Nuclei in Histopathology Images. J. Medical Syst. 42 (1) (2018)
Wajid Arshad Abbasi, Amina Asif, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas
Learning protein binding affinity using privileged information. BMC Bioinform. 19 (1) (2018)
Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Sadaf Gull, Fayyaz ul Amir Afsar Minhas
Training host-pathogen protein-protein interaction predictors. J. Bioinform. Comput. Biol. 16 (4) (2018)
Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Fayyaz ul Amir Afsar Minhas
Training large margin host-pathogen protein-protein interaction predictors. CoRR (2017)
Amina Asif, Wajid Arshad Abbasi, Farzeen Munir, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas
pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications. CoRR (2017)
Kanza Hamid, Amina Asif, Wajid Arshad Abbasi, Durre Sabih, Fayyaz ul Amir Afsar Minhas
Machine Learning with Abstention for Automated Liver Disease Diagnosis. FIT (2017)
Fayyaz ul Amir Afsar Minhas, Amina Asif, Muhammad Arif
CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data. Comput. Biol. Medicine 79 (2016)