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检索条件"机构=Center for Pattern Recognition and Data Analytics"
43 条 记 录,以下是21-30 订阅
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Differentially private multi-task learning  11th
Differentially private multi-task learning
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11th Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2016
作者: Gupta, Sunil Kumar Rana, Santu Venkatesh, Svetha Center for Pattern Recognition and Data Analytics Deakin University Geelong3216 Australia
Privacy restrictions of sensitive data repositories imply that the data analysis is performed in isolation at each data source. A prime example is the isolated nature of building prognosis models from hospital data an... 详细信息
来源: 评论
Statistical latent space approach for mixed data modelling and applications
arXiv
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arXiv 2017年
作者: Nguyen, Tu Dinh Tran, Truyen Phung, Dinh Venkatesh, Svetha Center for Pattern Recognition and Data Analytics School of Information Technology Deakin University Geelong Australia Institute for Multi-Sensor Processing and Content Analysis Curtin University Australia
The analysis of mixed data has been raising challenges in statistics and machine learning. One of two most prominent challenges is to develop new statistical techniques and methodologies to effectively handle mixed da... 详细信息
来源: 评论
Cascade Bayesian optimization  29th
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29th Australasian Joint Conference on Artificial Intelligence, AI 2016
作者: Nguyen, Thanh Dai Gupta, Sunil Rana, Santu Nguyen, Vu Venkatesh, Svetha Deane, Kyle J. Sanders, Paul G. Center for Pattern Recognition and Data Analytics Deakin University Geelong3216 Australia Materials Science and Engineering Michigan Technological University Houghton United States
Multi-stage cascade processes are fairly common, especially in manufacturing industry. Precursors or raw materials are transformed at each stage before being used as the input to the next stage. Setting the right cont... 详细信息
来源: 评论
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems
One-Pass Logistic Regression for Label-Drift and Large-Scale...
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IEEE International Conference on data Mining (ICDM)
作者: Vu Nguyen Tu Dinh Nguyen Trung Le Svetha Venkatesh Dinh Phung Center for Pattern Recognition and Data Analytics Deakin University Australia
Logistic regression (LR) for classification is the workhorse in industry, where a set of predefined classes is required. The model, however, fails to work in the case where the class labels are not known in advance, a... 详细信息
来源: 评论
Forecasting Patient Outflow from Wards having No Real-Time Clinical data
Forecasting Patient Outflow from Wards having No Real-Time C...
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IEEE International Conference on Healthcare Informatics (ICHI)
作者: Shivapratap Gopakumar Truyen Tran Wei Luo Dinh Phung Svetha Venkatesh Center for Pattern Recognition and Data Analytics Deakin University Australia
Modelling patient flow is crucial in understanding resource demand and prioritization. To date, there has been limited work in predicting ward-level discharges. Our study investigates forecasting total next-day discha... 详细信息
来源: 评论
Faster training of very deep networks via p-norm gates
Faster training of very deep networks via p-norm gates
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International Conference on pattern recognition
作者: Trang Pham Truyen Tran Dinh Phung Svetha Venkatesh Center for Pattern Recognition and Data Analytics Deakin University Geelong Australia
A major contributing factor to the recent advances in deep neural networks is structural units that let sensory information and gradients to propagate easily. Gating is one such structure that acts as a flow control. ... 详细信息
来源: 评论
Discovering latent affective dynamics among individuals in online mental health-related communities
Discovering latent affective dynamics among individuals in o...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Bo Dao Thin Nguyen Svetha Venkatesh Dinh Phung Center for Pattern Recognition and Data Analytics(PRaDA) Deakin University Geelong Australia
Discovering dynamics of emotion and mood changes for individuals has the potential to enhance the diagnosis and treatment of mental disorders. In this paper we study affective transitions and dynamics among individual... 详细信息
来源: 评论
Oscillation resolution for massive cell phone traffic data  1
Oscillation resolution for massive cell phone traffic data
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1st Workshop on Mobile data, Mobidata 2016, co-located with MobiSys 2016
作者: Qi, Ling Qiao, Yuanyuan Abdesslem, Fehmi Ben Ma, Zhanyu Yang, Jie Center for Data Science Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Network BUPT Beijing China Decisions Networks and Analytics Laboratory SICS Stockholm Sweden Center for Data Science Pattern Recognition and Intelligent System Lab BUPT Beijing China
Cellular towers capture logs of mobile subscribers whenever their devices connect to the network. When the logs show data traffic at a cell tower generated by a device, it reveals that this device is close to the towe... 详细信息
来源: 评论
Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026
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The Lancet Global Health 2023年 第3期11卷 e385-e413页
作者: Micah, Angela E. Bhangdia, Kayleigh Cogswell, Ian E. Lasher, Dylan Lidral-Porter, Brendan Maddison, Emilie R. Nguyen, Trang Nhu Ngoc Patel, Nishali Pedroza, Paola Solorio, Juan Stutzman, Hayley Tsakalos, Golsum Wang, Yifeng Warriner, Wesley Zhao, Yingxi Zlavog, Bianca S. Abbafati, Cristiana Abbas, Jaffar Abbasi-Kangevari, Mohsen Abbasi-Kangevari, Zeinab Abdelmasseh, Michael Abdulah, Deldar Morad Abedi, Aidin Abegaz, Kedir Hussein Abhilash, E.S. Aboagye, Richard Gyan Abolhassani, Hassan Abrigo, Michael R.M. Abubaker Ali, Hiwa Abu-Gharbieh, Eman Adem, Mohammed Hussien Afzal, Muhammad Sohail Ahmadi, Ali Ahmed, Haroon Ahmed Rashid, Tarik Aji, Budi Akbarialiabad, Hossein Akelew, Yibeltal Al Hamad, Hanadi Alam, Khurshid Alanezi, Fahad Mashhour Alanzi, Turki M. Al-Hanawi, Mohammed Khaled Alhassan, Robert Kaba Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Ameyaw, Edward Kwabena Amini-Rarani, Mostafa Amu, Hubert Ancuceanu, Robert Andrei, Tudorel Anwar, Sumadi Lukman Appiah, Francis Aqeel, Muhammad Arabloo, Jalal Arab-Zozani, Morteza Aravkin, Aleksandr Y. Aremu, Olatunde Aruleba, Raphael Taiwo Athari, Seyyed Shamsadin Avila-Burgos, Leticia Ayanore, Martin Amogre Azari, Samad Baig, Atif Amin Bantie, Abere Tilahun Barrow, Amadou Baskaran, Pritish Basu, Sanjay Batiha, Abdul-Monim Mohammad Baune, Bernhard T. Berezvai, Zombor Bhardwaj, Nikha Bhardwaj, Pankaj Bhaskar, Sonu Boachie, Micheal Kofi Bodolica, Virginia Botelho, João Silva Botelho Braithwaite, Dejana Breitborde, Nicholas J.K. Busse, Reinhard Cahuana-Hurtado, Lucero Catalá-López, Ferrán Chansa, Collins Charan, Jaykaran Chattu, Vijay Kumar Chen, Simiao Chukwu, Isaac Sunday Dadras, Omid Dandona, Lalit Dandona, Rakhi Dargahi, Abdollah Debela, Sisay Abebe Denova-Gutiérrez, Edgar Desye, Belay Dharmaratne, Samath Dhamminda Diao, Nancy Doan, Linh Phuong Dodangeh, Milad dos Santos, Wendel Mombaque Doshmangir, Leila Dube, John Eini, Ebrahim El Sayed Zaki, Maysaa El Tantawi, Maha Enyew, Daniel Berhanie Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Applied Mathematics University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Nuffield Department of Medicine University of Oxford Oxford United Kingdom Department of Juridical and Economic Studies La Sapienza University Rome Italy Antai College of Economics Shanghai Jiao Tong University Shanghai China Non-communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Multiple Sclerosis Research Center Tehran University of Medical Sciences Tehran Iran Children’s Medical Center Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Tehran Heart Center Tehran University of Medical Sciences Tehran Iran Faculty of Medicine Tehran University of Medical Sciences Tehran Iran National Institute for Health Research Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Department of Cardiology Tehran University of Medical Sciences Tehran Iran Sina Trauma and Surgery Research Center Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Department of Neurology Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Epidemiology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Health Economics and Statistics Shahid Beheshti University of Medical Sciences Tehran Iran Department of Neurosurgery Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic R
Background: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of ...
来源: 评论
What shall i share and with Whom? - A multi-task learning formulation using multi-faceted task relationships
What shall i share and with Whom? - A multi-task learning fo...
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SIAM International Conference on data Mining 2015, SDM 2015
作者: Gupta, Sunil Rana, Santu Phung, Dinh Venkatesh, Svetha Center for Pattern Recognition and Data Analytics Deakin University Geelong Waurn Ponds Campus VIC Australia
Multi-task learning is a learning paradigm that improves the performance of "related" tasks through their joint learning. To do this each task answers the question "Which other task should I share with&... 详细信息
来源: 评论