Deep Reinforcement Learning for Multi-Domain Dialogue Systems. - Heriberto Cuayáhuitl; Seunghak Yu; Ashley Williamson; Jacob Carse (CoRR, 2016)

Scaling up deep reinforcement learning for multi-domain dialogue systems. - Heriberto Cuayáhuitl; Seunghak Yu; Ashley Williamson; Jacob Carse (IJCNN, 2017)

Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs. - Jacob Carse; Stephen J. McKenna (ECDP, 2019)

Unsupervised Representation Learning From Pathology Images With Multi-Directional Contrastive Predictive Coding. - Jacob Carse; Frank A. Carey; Stephen J. McKenna (ISBI, 2021)

Robust Selective Classification of Skin Lesions with Asymmetric Costs. - Jacob Carse; Tamás Süveges; Stephen Hogg; Emanuele Trucco; Charlotte Proby; Colin Fleming; Stephen J. McKenna (UNSURE/PIPPI@MICCAI, 2021)

Calibration of Deep Medical Image Classifiers: An Empirical Comparison Using Dermatology and Histopathology Datasets. - Jacob Carse; Andres Alvarez Olmo; Stephen J. McKenna (UNSURE@MICCAI, 2022)

Calibrating Where It Matters: Constrained Temperature Scaling. - Stephen J. McKenna; Jacob Carse (CoRR, 2024)