research
∙
08/18/2022
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data
In this work, we identify open research opportunities in applying Neural...
share
research
∙
03/08/2021
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
We present ARCH, a computational pathology (CP) multiple instance captio...
research
∙
11/09/2020
Predicting Landsat Reflectance with Deep Generative Fusion
Public satellite missions are commonly bound to a trade-off between spat...
research
∙
08/24/2020
Exoplanet Validation with Machine Learning: 50 new validated Kepler planets
Over 30 'validation', where the statistical likelihood of a transit aris...
research
∙
05/09/2020
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
In this work we show preliminary results of deep multi-task learning in ...
research
∙
03/24/2020
PanNuke Dataset Extension, Insights and Baselines
The emerging area of computational pathology (CPath) is ripe ground for ...
research
∙
03/06/2020
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
To train a robust deep learning model, one usually needs a balanced set ...
research
∙
11/08/2019
AI Ethics for Systemic Issues: A Structural Approach
The debate on AI ethics largely focuses on technical improvements and st...
research
∙
10/31/2019
