Jacob Carse

According to our database, Jacob Carse authored at least 7 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Calibrating Where It Matters: Constrained Temperature Scaling.

Stephen J. McKenna, Jacob Carse

CoRR, 2024

2022

Calibration of Deep Medical Image Classifiers: An Empirical Comparison Using Dermatology and Histopathology Datasets.

Jacob Carse, Andres Alvarez Olmo, Stephen J. McKenna

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Unsupervised Representation Learning From Pathology Images With Multi-Directional Contrastive Predictive Coding.

Jacob Carse, Frank A. Carey, Stephen J. McKenna

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs.

Jacob Carse, Stephen J. McKenna

Proceedings of the Digital Pathology - 15th European Congress, 2019

2017

Scaling up deep reinforcement learning for multi-domain dialogue systems.

Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Deep Reinforcement Learning for Multi-Domain Dialogue Systems.

Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse

CoRR, 2016