Classifying breast cancer cells by hypoxic and normoxic condition
A machine learning classifier that tells hypoxic from normoxic tumour cells using biological data.
A machine learning classifier that tells hypoxic from normoxic tumour cells using biological data.
Building a 20k-tweet and 500-article corpus to study how the public and the media frame artificial intelligence.
A simulation of the three-dimensional Ising model using both Simulated Annealing and the Wolff cluster algorithm.
Generating Most Excitatory Inputs for single neurons in mouse visual cortex with CNNs, benchmarked against Gabor filters.
Turning sign language videos into 3×3 frame grids so that a CNN can classify them as single images.
Predicting TP53 mutation status from CCLE transcriptomics with tree-based models, at ~81% F1-score.