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ORCIDÓscar Pérez
Person information
Other persons with a similar name
- Óscar Barquero-Pérez
![[0000-0002-7235-3986]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7235-3986")
- Oscar Duque (aka: Oscar Duque-Perez, Óscar Duque-Pérez)
- Óscar García-Pérez
- Oscar Pérez
- Óscar Pérez-Gil
- Óscar Pérez-Priego
- Oscar Perez
- Oscar Ernesto Perez-Cham
- Óscar C. Vásquez 0001 (aka: Oscar C. Vásquez 0001, Oscar Carlos Vasquez Perez) — University of Santiago of Chile, Faculty of Engineering, Department of Industrial Engineering, Santiago, Chile
- Oscar Vera-Perez (aka: Oscar Luis Vera-Pérez)
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2020 – today
- 2024
[i6]Bokang Bi, Leibo Liu, Sanja Lujic, Louisa Jorm, Óscar Pérez Concha:
Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding. CoRR abs/2409.14638 (2024)- 2023
- [j15]Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
Automated ICD coding using extreme multi-label long text transformer-based models. Artif. Intell. Medicine 144: 102662 (2023) - [j14]Oisin Fitzgerald, Óscar Pérez Concha, Blanca Gallego Luxan, Alejandro Metke-Jimenez, Lachlan Rudd, Louisa Jorm:
Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit. J. Biomed. Informatics 146: 104498 (2023) - [i5]Oisin Fitzgerald, Óscar Pérez Concha, Blanca Gallego Luxan, Alejandro Metke-Jimenez, Lachlan Rudd, Louisa Jorm:
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit. CoRR abs/2304.07025 (2023) - 2022
- [j13]Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
Hierarchical label-wise attention transformer model for explainable ICD coding. J. Biomed. Informatics 133: 104161 (2022) - [j12]Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models. J. Biomed. Informatics 135: 104215 (2022) - [i4]Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding. CoRR abs/2204.10716 (2022) - [i3]Leibo Liu, Óscar Pérez Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm:
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models. CoRR abs/2212.05857 (2022) - 2021
- [j11]Oisin Fitzgerald, Óscar Pérez Concha, Blanca Gallego, Manoj K. Saxena, Lachlan Rudd, Alejandro Metke-Jimenez, Louisa Jorm:
Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU. J. Am. Medical Informatics Assoc. 28(8): 1642-1650 (2021) - [i2]Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers. CoRR abs/2101.00146 (2021)
2010 – 2019
- 2019
- [i1]Sebastiano Barbieri, Óscar Pérez Concha, Sradha Kotwal, Martin Gallagher, Angus Ritchie, Louisa Jorm:
A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk. CoRR abs/1905.08547 (2019) - 2018
- [j10]Yashar Maali, Óscar Pérez Concha, Enrico W. Coiera, David Roffe, Richard O. Day, Blanca Gallego:
Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital. BMC Medical Informatics Decis. Mak. 18(1): 1:1-1:11 (2018) - 2016
- [j9]Xiongcai Cai, Óscar Pérez Concha, Enrico W. Coiera, Fernando Martín-Sánchez, Richard O. Day, David Roffe, Blanca Gallego:
Real-time prediction of mortality, readmission, and length of stay using electronic health record data. J. Am. Medical Informatics Assoc. 23(3): 553-561 (2016) - [j8]Ying Wang, Enrico W. Coiera, Blanca Gallego, Óscar Pérez Concha, Mei-Sing Ong, Guy Tsafnat, David Roffe, Graham Jones, Farah Magrabi:
Measuring the effects of computer downtime on hospital pathology processes. J. Biomed. Informatics 59: 308-315 (2016) - 2015
- [j7]Blanca Gallego, Farah Magrabi, Óscar Pérez Concha, Ying Wang, Enrico W. Coiera:
Insights into temporal patterns of hospital patient safety from routinely collected electronic data. Health Inf. Sci. Syst. 3(1) (2015) - [j6]Zui Zhang, Óscar Pérez Concha, Massimo Piccardi:
Tracking people under heavy occlusions by layered data association. Multim. Tools Appl. 74(17): 7239-7259 (2015) - 2013
- [j5]Ehsan Zare Borzeshi, Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi:
Joint Action Segmentation and Classification by an Extended Hidden Markov Model. IEEE Signal Process. Lett. 20(12): 1207-1210 (2013) - 2012
- [c18]Blanca Gallego, Óscar Pérez Concha, Frank P. Y. Lin, Enrico W. Coiera:
Exploring the role of pathology test results in the prediction of remaining days of hospitalisation. HIC 2012: 45-50 - [c17]Ehsan Zare Borzeshi, Óscar Pérez Concha, Massimo Piccardi:
Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features. SSPR/SPR 2012: 474-482 - 2011
- [j4]Ahmed Fawzi Otoom, Hatice Gunes, Óscar Pérez Concha, Massimo Piccardi:
MLiT: mixtures of Gaussians under linear transformations. Pattern Anal. Appl. 14(2): 193-205 (2011) - [c16]Óscar Pérez Concha, Richard Y. D. Xu, Zia Moghaddam, Massimo Piccardi:
HMM-MIO: An enhanced hidden Markov model for action recognition. CVPR Workshops 2011: 62-69 - 2010
- [c15]Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi:
Robust Dimensionality Reduction for Human Action Recognition. DICTA 2010: 349-356 - [c14]Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi:
Compressive Sensing of Time Series for Human Action Recognition. DICTA 2010: 454-461 - [c13]Ahmed Fawzi Otoom, Óscar Pérez Concha, Massimo Piccardi:
Mixtures of Gaussian Distributions under Linear Dimensionality Reduction. VISAPP (2) 2010: 511-518
2000 – 2009
- 2009
- [c12]Ahmed Fawzi Otoom, Óscar Pérez Concha, Hatice Gunes, Massimo Piccardi:
Mixtures of Normalized Linear Projections. ACIVS 2009: 66-76 - [r1]Óscar Pérez, Manuel A. Sánchez-Montañés:
Class Prediction in Test Sets with Shifted Distributions. Encyclopedia of Artificial Intelligence 2009: 282-288 - 2008
- [j3]Blanca Rodríguez, Óscar Pérez, Jesús García, José M. Molina:
Machine Learning Techniques for Acquiring New Knowledge in Image Tracking. Appl. Artif. Intell. 22(3): 266-282 (2008) - 2007
- [j2]Miguel A. Patricio, Javier Carbó, Óscar Pérez, Jesús García, José M. Molina López:
Multi-Agent Framework in Visual Sensor Networks. EURASIP J. Adv. Signal Process. 2007 (2007) - [j1]Jesús García, Óscar Pérez, Antonio Berlanga, José M. Molina:
Video tracking system optimization using evolution strategies. Int. J. Imaging Syst. Technol. 17(2): 75-90 (2007) - [c11]Massimo Piccardi, Óscar Pérez:
Hidden Markov Models with Kernel Density Estimation of Emission Probabilities and their Use in Activity Recognition. CVPR 2007 - [c10]Óscar Pérez, Massimo Piccardi, Jesús García, Miguel Ángel Patricio Guisado, José Manuel Molina:
Comparison Between Genetic Algorithms and the Baum-Welch Algorithm in Learning HMMs for Human Activity Classification. EvoWorkshops 2007: 399-406 - [c9]Óscar Pérez, Manuel A. Sánchez-Montañés:
A New Learning Strategy for Classification Problems with Different Training and Test Distributions. IWANN 2007: 178-185 - [c8]Óscar Pérez, Massimo Piccardi, Jesús García, José M. Molina:
Comparison of Classifiers for Human Activity Recognition. IWINAC (2) 2007: 192-201 - 2006
- [c7]Óscar Pérez, Jesús García, José M. Molina:
Neuro-fuzzy Learning Applied to Improve the Trajectory Reconstruction Problem. CIMCA/IAWTIC 2006: 4 - [c6]Óscar Pérez, Miguel Ángel Patricio Guisado, Jesús García, José M. Molina:
Improving the Segmentation Stage of a Pedestrian Tracking Video-Based System by Means of Evolution Strategies. EvoWorkshops 2006: 438-449 - [c5]Óscar Pérez Concha, Miguel A. Patricio, Jesús García Herrero, Javier Carbo Rubiera, José M. Molina:
Fusion of Surveillance Information for Visual Sensor Networks. FUSION 2006: 1-8 - [c4]Jesús García, Óscar Pérez Concha, José M. Molina López, Gonzalo de Miguel:
Trajectory classification based on machine-learning techniques over tracking data. FUSION 2006: 1-8 - 2005
- [c3]Óscar Pérez, Jesús García, Antonio Berlanga, José M. Molina:
Evolving Parameters of Surveillance Video Systems for Non-overfitted Learning. EvoWorkshops 2005: 386-395 - [c2]Óscar Pérez, Jesús García, Antonio Berlanga, José M. Molina:
Adjustment of Surveillance Video Systems by a Performance Evaluation Function. IWINAC (2) 2005: 499-508 - [c1]Blanca Rodríguez, Óscar Pérez, Jesús García, José M. Molina:
Application of Machine Learning Techniques for Simplifying the Association Problem in a Video Surveillance System. IWINAC (2) 2005: 509-518
Coauthor Index
aka: Jesús García Herrero
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