ORCID as entered in ROS
https://orcid.org/0000-0002-8823-7090
Select Publications
Conference Papers
, 2007, 'Hidden Markov Models with Kernel Density Estimation of Emission Probabilities and their Use in Activity Recognition', in IEEE conference on computer vision and pattern recognition 2007, Minneapolis, MN, pp. 1 - 8, presented at
, 2007, 'Hidden Markov models with kernel density estimation of emission probabilities and their use in activity recognition', in 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, IEEE, MN, Minneapolis, pp. 3774 - +, presented at
, 2007, 'Comparison between Genetic Algorithms and Baum-Welch algorithm for the adjustment of HMM to Classify Human Activities', in Lecture Notes in Computer Science vol. 4448, Springer-Verlag, Berlin, pp. 399 - 406, presented at
, 2007, 'Comparison between genetic algorithms and the Baum-Welch algorithm in learning HMMs for human activity classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 399 - 406, http://dx.doi.org/10.1007/978-3-540-71805-5_44
, 2006, 'Neuro-fuzzy Learning Applied to Improve the Trajectory Reconstruction Problem', in Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on, IEEE, Sydney, pp. 4 - 4, presented at
, 2006, 'Fusion of Surveillance Information for Visual Sensor Networks', in 9th International Conference on Information Fusion, IEEE, Florence, Italy, pp. 1 - 8, presented at
, 2006, 'Trajectory classification based on machine-learning techniques over tracking data', in 9th International Conference on Information Fusion, IEEE, Florence, Italy, pp. 1 - 8, presented at
, 2006, 'Fusion of surveillance information for visual sensor networks', in 2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, IEEE, ITALY, Florence, pp. 302 - 309, presented at
, 2006, 'Improving the Segmentation Stage of a Pedestrian Tracking Video-Based System by Means of Evolution Strategies', in Lecture Notes in Computer Science vol. 3907, Springer-Verlag, Berlin, pp. 438 - 449, presented at
, 2005, 'Adjustment of Surveillance Video Systems by a Performance Evaluation Function', in Lecture Notes in Computer Science vol. 3562, Springer-Verlag, Berlin, pp. 499 - 508, presented at
, 2005, 'Application of Machine Learning Techniques for Simplifying the Association Problem in a Video Surveillance System', in Lecture Notes in Computer Science vol. 3562, Springer-Verlag, Berlin, pp. 509 - 518, presented at
, 2005, 'Evolving Parameters of Surveillance video Systems for Non-Overfitting Learning', in Lecture Notes in Computer Science , Vol. 3449, Springer-Verlag, Lausanne, Switzerland, pp. 386 - 395, presented at
, 'Modelling of Time Series Health Data using Dynamic Bayesian Networks: An application to predictions of patient outcomes after multiple surgeries.', in Proceedings of the Big Data Conference 2014, Melbourne
Conference Abstracts
, 2019, 'Risk factors for cancer registry-notified cancer of unknown primary site (CUP)', in Asia Pacific Journal of Clinical Oncology, Wiley, Adelaide, Vol. 15, pp. 84 - 85, presented at Clinical Oncology Society of Australia 46th Annual Scientific Meeting, Adelaide, 12 November 2019 - 14 November 2019, http://dx.doi.org/10.1111/ajco.13262
, 2019, 'A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk', in HSRAANZ, Auckland, New Zealand, presented at HSRAANZ, Auckland, New Zealand
Preprints
, 2024, Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding, http://arxiv.org/abs/2409.14638v2
, 2023, Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project (Preprint), http://dx.doi.org/10.2196/preprints.51388
, 2023, Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit, http://arxiv.org/abs/2304.07025v1
, 2023, Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study (Preprint), http://dx.doi.org/10.2196/preprints.46322
, 2023, Curation and description of a blood glucose management and nutritional support cohort using the eICU collaborative research database, http://dx.doi.org/10.1101/2023.04.20.23288845
, 2023, The relationship between hyperglycaemia on admission and patient outcome is modified by hyperlactatemia and diabetic status: a retrospective analysis of the eICU collaborative research database, http://dx.doi.org/10.1101/2023.05.01.23289339
, 2022, Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models, http://dx.doi.org/10.1016/j.artmed.2023.102662
, 2022, Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding, http://dx.doi.org/10.1016/j.jbi.2022.104161
, 2020, De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models, http://dx.doi.org/10.48550/arxiv.2101.00146
, 2019, Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk, http://dx.doi.org/10.48550/arxiv.1905.08547
Filter by type
https://orcid.org/0000-0002-8823-7090