Fayyaz ul Amir Afsar Minhas

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 36

Top Topics

Histological Images

Protein Interaction

Multiple Instance

Satellite Imagery

Top Venues

Comput. Biol. Medicine

Neural Comput. Appl.

Publications

Mark Eastwood, Heba Sailem, Silviu Tudor Marc, Xiaohong Gao, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz ul Amir Afsar Minhas, Jan Lukas Robertus
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images. CoRR (2023)
Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas
Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images. CoRR (2023)
Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas
Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images. ISBI (2023)
Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas
Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images Beyond Staining? TML4H (2023)
Don Neumann, Soumyadip Roy, Fayyaz ul Amir Afsar Minhas, Asa Ben-Hur
On the choice of negative examples for prediction of host-pathogen protein interactions. Frontiers Bioinform. 2 (2022)
Callum Christopher Mackenzie, Muhammad Dawood, Simon Graham, Mark Eastwood, Fayyaz ul Amir Afsar Minhas
Neural Graph Modelling of Whole Slide Images for Survival Ranking. LoG (2022)
Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
ALBRT: Cellular Composition Prediction in Routine Histology Images. ICCVW (2021)
Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning. CoRR (2021)
Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning. PKDD/ECML Workshops (2) (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)
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)
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)
Wajid Arshad Abbasi, Adiba Yaseen, Fahad Ul Hassan, Saiqa Andleeb, Fayyaz ul Amir Afsar Minhas
ISLAND: in-silico proteins binding affinity prediction using sequence information. BioData Min. 13 (1) (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)
Sadaf Gull, Fayyaz ul Amir Afsar Minhas
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning. CoRR (2019)
Sadaf Gull, Nauman Shamim, Fayyaz ul Amir Afsar Minhas
AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides. Comput. Biol. Medicine 107 (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)
Wajid Arshad Abbasi, Fahad Ul Hassan, Adiba Yaseen, Fayyaz ul Amir Afsar Minhas
ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors. CoRR (2017)
Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Fayyaz ul Amir Afsar Minhas
Training large margin host-pathogen protein-protein interaction predictors. CoRR (2017)
Fayyaz ul Amir Afsar Minhas, Eric D. Ross, Asa Ben-Hur
Amino acid composition predicts prion activity. PLoS Comput. Biol. 13 (4) (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)
Fahad Ul Hassan, Fayyaz ul Amir Afsar Minhas
Deep and Self-Taught Learning for Protein Accessible Surface Area Prediction. FIT (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)
Wajid Arshad Abbasi, Fayyaz ul Amir Afsar Minhas
Issues in performance evaluation for host-pathogen protein interaction prediction. J. Bioinform. Comput. Biol. 14 (3) (2016)
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)
Fayyaz ul Amir Afsar Minhas, Durre Sabih, Mutawarra Hussain
Automated Classification of Liver Disorders using Ultrasound Images. J. Medical Syst. 36 (5) (2012)
Fayyaz ul Amir Afsar Minhas, Asa Ben-Hur
Multiple instance learning of Calmodulin binding sites. Bioinform. 28 (18) (2012)
Fayyaz ul Amir Afsar Minhas, Muhammad Arif
MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes. Appl. Soft Comput. 11 (8) (2011)