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2020 – today
- 2023
[j11]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: 102885 (2023)- 2022
- [j10]Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas:
REET: robustness evaluation and enhancement toolbox for computational pathology. Bioinform. 38(12): 3312-3314 (2022) - [i13]Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas:
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. CoRR abs/2201.12311 (2022) - [i12]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 abs/2206.08275 (2022) - [i11]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 abs/2211.01256 (2022) - 2021
- [j9]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): D622-D629 (2021) - [j8]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): 1142-1150 (2021) - [c4]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: 534-545 - [i10]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 abs/2106.08153 (2021) - [i9]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 abs/2112.09496 (2021) - 2020
- [j7]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): 4821-4834 (2020) - [j6]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): 9009-9017 (2020) - [c3]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: 4020-4025 - [c2]Amina Asif, Fayyaz ul Amir Afsar Minhas:
Generalized Neural Framework for Learning with Rejection. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j5]Amina Asif, Fayyaz ul Amir Afsar Minhas:
An embarrassingly simple approach to neural multiple instance classification. Pattern Recognit. Lett. 128: 474-479 (2019) - [i8]Fayyaz ul Amir Afsar Minhas, Amina Asif, Asa Ben-Hur:
Ten ways to fool the masses with machine learning. CoRR abs/1901.01686 (2019) - [i7]Amina Asif, Fayyaz ul Amir Afsar Minhas:
An embarrassingly simple approach to neural multiple instance classification. CoRR abs/1905.01947 (2019) - [i6]Amina Asif, Fayyaz ul Amir Afsar Minhas:
Generalized Learning with Rejection for Classification and Regression Problems. CoRR abs/1911.00896 (2019) - [i5]Fayyaz ul Amir Afsar Minhas, Amina Asif:
Learning Neural Activations. CoRR abs/1912.12187 (2019) - 2018
- [j4]Wajid Arshad Abbasi, Amina Asif, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas:
Learning protein binding affinity using privileged information. BMC Bioinform. 19(1): 425:1-425:12 (2018) - [j3]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): 1850014:1-1850014:18 (2018) - [j2]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): 7:1-7:8 (2018) - [i4]Kanza Hamid, Amina Asif, Wajid Arshad Abbasi, Durre Sabih, Fayyaz ul Amir Afsar Minhas:
Machine Learning with Abstention for Automated Liver Disease Diagnosis. CoRR abs/1811.04463 (2018) - [i3]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 abs/1811.06885 (2018) - 2017
- [c1]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: 356-361 - [i2]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 abs/1711.04913 (2017) - [i1]Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Fayyaz ul Amir Afsar Minhas:
Training large margin host-pathogen protein-protein interaction predictors. CoRR abs/1711.07886 (2017) - 2016
- [j1]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: 68-79 (2016)
Coauthor Index
aka: Fayyaz A. Minhas
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