Towards face anti-spoofing.

An aggregation of aggregation methods in computational pathology.

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

REET: robustness evaluation and enhancement toolbox for computational pathology.

MILAMP: Multiple Instance Prediction of Amyloid Proteins.

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

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

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

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

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

An embarrassingly simple approach to neural multiple instance classification.

Learning Neural Activations.

Generalized Learning with Rejection for Classification and Regression Problems.

Ten ways to fool the masses with machine learning.

Correlation Filters for Detection of Cellular Nuclei in Histopathology Images.

Training host-pathogen protein-protein interaction predictors.

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

Learning protein binding affinity using privileged information.

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

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

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