By Dr Oscar Perez Concha

Conference Papers

Perez Concha O; Garcia J; Molina JM, 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 International Conference on Computational Intelligence for Modelling, Control and Automation, Sydney, 28 November 2006 - 01 December 2006, http://dx.doi.org/10.1109/CIMCA.2006.157

Perez Concha O; Patricio M; Carbo J; Garcia J; Molina JM, 2006, 'Fusion of Surveillance Information for Visual Sensor Networks', in 9th International Conference on Information Fusion, IEEE, Florence, Italy, pp. 1 - 8, presented at The 9th International Conference on Information Fusion, Florence, Italy, 10 July 2006 - 14 July 2006, http://dx.doi.org/10.1109/ICIF.2006.301602

Garcia J; Perez Concha O; Molina JM; de Miguel G, 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 The 9th International Conference on Information Fusion, Florence, Italy, 10 July 2006 - 14 July 2006, http://dx.doi.org/10.1109/ICIF.2006.301629

Perez O; Patricio MA; Garcia J; Carbo J; Molina JM, 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 9th International Conference on Information Fusion, ITALY, Florence, 10 July 2006, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000245998000042&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Perez Concha O; Patricio M; Garcia J; Molina JM, 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 The Eighth European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, Budapest, Hungary, 10 April 2006 - 12 April 2006, http://dx.doi.org/10.1007/11732242_39

Perez Concha O; Garcia J; Berlanga A; Molina JM, 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 First Internacional Work-Conference on the Interplay between Natural and Artificial Computation, Las Palmas, Spain, 15 June 2005 - 18 June 2005, http://dx.doi.org/10.1007/11499305_51

Rodriguez B; Perez Concha O; Garcia J; Molina JM, 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 First Internacional Work-Conference on the Interplay between Natural and Artificial Computation, Las Palmas, Spain, 15 June 2005 - 18 June 2005, http://dx.doi.org/10.1007/b137296

Perez Concha O; Garcia J; Berlanga A; Molina JM, 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 In The Seventh European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, Lausanne, Switzerland, 30 March 2005 - 01 April 2005, http://dx.doi.org/10.1007/978-3-540-32003-6_39

X. Cai, O. Perez-Concha, F. Martin-Sanchez, B. Gallego. , '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

Vajdic CM; Perez-Concha O; Rhee J; Dobbins T; Ward R; Schaffer A; Van Leeuwen MT; Laaksonen M; Craigen G; Pearson S, 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

Barbieri S; Perez Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L, 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

Kuo NI-H; Perez-Concha O; Hanly M; Mnatzaganian E; Hao B; Di Sipio M; Yu G; Vanjara J; Valerie IC; de Oliveira Costa J; Churches T; Lujic S; Hegarty J; Jorm L; Barbieri S, 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

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Metke-Jimenez A; Rudd L; Jorm L, 2023, Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit, , http://arxiv.org/abs/2304.07025v1

Liu L; Perez-Concha O; Nguyen A; Bennett V; Blake V; Gallego B; Jorm L, 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

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Rudd L; Jorm L, 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

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Rudd L; Jorm L, 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

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models, , http://dx.doi.org/10.1016/j.artmed.2023.102662

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding, , http://dx.doi.org/10.1016/j.jbi.2022.104161

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 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

Barbieri S; Kemp J; Perez-Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L, 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

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