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Neural Networks : the Official Journal of the International Neural Network Society
|
April 12, 2017
Evaluating deep learning architectures for Speech Emotion Recognition
Haytham M Fayek, Margaret Lech, Lawrence Cavedon
Artificial Intelligence in Medicine
|
July 9, 2014
Cross-hospital portability of information extraction of cancer staging information
David Martinez, Graham Pitson, Andrew MacKinlay, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
May 30, 2020
Progressive learning: A deep learning framework for continual learning
Haytham M Fayek, Lawrence Cavedon, Hong Ren Wu
Applied Ergonomics
|
June 17, 2021
Performance degrades less under increased workload with the addition of speech control in a dynamic environment
Maria Vukovic, Lawrence Cavedon, John Thangarajah, et al.
Studies in Health Technology and Informatics
|
April 21, 2017
Developing a Manually Annotated Corpus of Clinical Letters for Breast Cancer Patients on Routine Follow-Up
Graham Pitson, Patricia Banks, Lawrence Cavedon, et al.
Journal of Medical Internet Research
|
December 30, 2025
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models
Tabinda Sarwar, Antonio José Jimeno Yepes, Lawrence Cavedon
BMC Bioinformatics
|
April 15, 2011
Automatic classification of sentences to support Evidence Based Medicine
Su Nam Kim, David Martinez, Lawrence Cavedon, et al.
BMC Medical Informatics and Decision Making
|
October 13, 2010
Boolean versus ranked querying for biomedical systematic reviews
Sarvnaz Karimi, Stefan Pohl, Falk Scholer, et al.
BMC Geriatrics
|
November 30, 2022
Development and validation of retrospective electronic frailty index using operational data of aged care homes
Tabinda Sarwar, Antonio Jose Jimeno Yepes, Xiuzhen Zhang, et al.
Journal of Biomedical Informatics
|
December 3, 2014
Automatic detection of patients with invasive fungal disease from free-text computed tomography (CT) scans
David Martinez, Michelle R Ananda-Rajah, Hanna Suominen, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
Neural Networks : the Official Journal of the International Neural Network Society
|
April 12, 2017
Evaluating deep learning architectures for Speech Emotion Recognition
Haytham M Fayek, Margaret Lech, Lawrence Cavedon
Artificial Intelligence in Medicine
|
July 9, 2014
Cross-hospital portability of information extraction of cancer staging information
David Martinez, Graham Pitson, Andrew MacKinlay, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
May 30, 2020
Progressive learning: A deep learning framework for continual learning
Haytham M Fayek, Lawrence Cavedon, Hong Ren Wu
Applied Ergonomics
|
June 17, 2021
Performance degrades less under increased workload with the addition of speech control in a dynamic environment
Maria Vukovic, Lawrence Cavedon, John Thangarajah, et al.
Studies in Health Technology and Informatics
|
April 21, 2017
Developing a Manually Annotated Corpus of Clinical Letters for Breast Cancer Patients on Routine Follow-Up
Graham Pitson, Patricia Banks, Lawrence Cavedon, et al.
Journal of Medical Internet Research
|
December 30, 2025
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models
Tabinda Sarwar, Antonio José Jimeno Yepes, Lawrence Cavedon
BMC Bioinformatics
|
April 15, 2011
Automatic classification of sentences to support Evidence Based Medicine
Su Nam Kim, David Martinez, Lawrence Cavedon, et al.
BMC Medical Informatics and Decision Making
|
October 13, 2010
Boolean versus ranked querying for biomedical systematic reviews
Sarvnaz Karimi, Stefan Pohl, Falk Scholer, et al.
BMC Geriatrics
|
November 30, 2022
Development and validation of retrospective electronic frailty index using operational data of aged care homes
Tabinda Sarwar, Antonio Jose Jimeno Yepes, Xiuzhen Zhang, et al.
Journal of Biomedical Informatics
|
December 3, 2014
Automatic detection of patients with invasive fungal disease from free-text computed tomography (CT) scans
David Martinez, Michelle R Ananda-Rajah, Hanna Suominen, et al.
Page
of 2