KHD@IJCAI

Publications

2019

Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Zina M. Ibrahim, Oya Celikutan, Richard J. B. Dobson, Stephen J. McKenna, Jacqui Morris, Annalu Waller, Raed A. Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri
Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. KHD@IJCAI (2019)
Spiros C. Denaxas, Helen Parkinson, Natalie K. Fitzpatrick, Cathie Sudlow, Harry Hemingway
Analysing the Heterogeneity of Rule-Based EHR Phenotyping Algorithms in CALIBER and the UK Biobank. KHD@IJCAI (2019)
Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar
Explaining Deep Classification of Time-Series Data with Learned Prototypes. KHD@IJCAI (2019)
Jackson A. Killian, Kevin M. Passino, Arnab Nandi, Danielle R. Madden, John D. Clapp
Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data. KHD@IJCAI (2019)
Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen, Katie Atkinson
Extracting Supporting Evidence from Medical Negligence Claim Texts. KHD@IJCAI (2019)
Harry Pratt, Frans Coenen, Yalin Zheng
Feature Visualisation of Classification of Diabetic Retinopathy Using a Convolutional Neural Network. KHD@IJCAI (2019)
James O'Neill, Danushka Bollegala, Peter-J. Noble, Alan D. Radford
Tick Parasitism Classification from Noisy Medical Records. KHD@IJCAI (2019)
Lujing Xiao, Chuanpan Zheng, Xiaoliang Fan, FYi Xie, Rongshan Yu
Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge. KHD@IJCAI (2019)
Hossein Aboutalebi, Doina Precup, Tibor Schuster
Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials. KHD@IJCAI (2019)
Micheal Abaho, Danushka Bollegala, Paula R. Williamson, Susanna Dodd
Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine. KHD@IJCAI (2019)

2018

2017