The detection of signals in clutter depends not only on good signal models and optimal processing... more The detection of signals in clutter depends not only on good signal models and optimal processing, but also on accurate clutter models. An eective approch to land mine detection is the use of infrared imagery to detect thermal perturbations in the soil surface temperature caused by buried land mines. The purpose of this study is to investigate the value of augmenting long- and short-wave infrared imagery by red{green{blue visual imagery, in order to model vegetative clutter and thereby to detect land mines with greater probability and suer fewer false alarms. This study applies the shared mixture classier reported in earlier [14]. 1. HISTORICAL PERSPECTIVE The problem of safely and reliably detecting buried landmines has not yet been solved in any situation. We believe that any satisfactory device will require multiple sensors and high quality algorithms informed by physical and expert information and statistical data. For the last three years we have carried out a number of inves...
Spotter is a exible extensible software tool for interactive development, application and testing... more Spotter is a exible extensible software tool for interactive development, application and testing of algorithms for detecting objects in multi-spectral imagery. Images from dierent sensors are registered, and low level features are extracted. Feature selection and reduction algorithms generate reduced dimension feature sets. Feature images are soft classied, pixel by pixel, and the output is used to drive a preliminary detection process to identify regions of interest (ROI). Geometric features are extracted from the ROI, which are then soft classied, and a detection decision decision is made for each. Many algorithms are provided, including Gaussian mixture model classiers and shared mixture classiers. Mixture of experts classiers enable physically inspired classiers to be incorporated to complement statistical designs. 1. INTRODUCTION The Spotter package was developed by CSSIP to aid in the creation and evaluation of algorithms for detecting buried land mines. The algorithms ...
Studies in health technology and informatics, 2018
The rapid ageing of the population is a worldwide inexorable demographic transformation. At a tim... more The rapid ageing of the population is a worldwide inexorable demographic transformation. At a time of immense social, political and economic change, the growing elderly population is at the forefront of global burden, placing an increasing strain on the federal, state, and local budgets. Many public policy responses to the impending ageing epidemic have begun, particularly with regards to dementia prevention and quality of life for older adults. However, to date, the fruition of such efforts remains to be discovered. Indeed, there is a need to find more novel and multifaceted ways of understanding the fragmentary changes and underlying mechanisms in the biopsychosocial contexts of ageing. Discovering better ways to measure these intricate domains will create better insight into how to improve clinical and public health information systems for the development of more personalisation support and services across the continuum of aged care. Technology now permeates all aspects of our ev...
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
The efficacy of behavioural activation in the treatment of major depressive disorders has been es... more The efficacy of behavioural activation in the treatment of major depressive disorders has been established in a number of studies over the last four decades. Although a number of recent studies show that behavioural activation administered via a smartphone application has the potential to be effective in the treatment of depression, these opportunities are tempered by the problem that these interventions have high dropout rates. However, recent research finds that personalisation of content can positively influence engagement. We present MindTick, a smartphone-based behavioural activation application using a recommender system to deliver personalized content to encourage users to engage in behavioural activation activities.
Non-adherence with pharmacologic treatment is associated with increased rates of relapse and reho... more Non-adherence with pharmacologic treatment is associated with increased rates of relapse and rehospitalisation among patients with schizophrenia and bipolar disorder. To improve treatment response, remission, and recovery, research efforts are still needed to elucidate how to effectively map patient’s response to medication treatment including both therapeutic and adverse effects, compliance, and satisfaction in the prodromal phase of illness (ie, the time period in between direct clinical consultation and relapse). The Actionable Intime Insights (AI2) application draws information from Australian Medicare administrative claims records in real time when compliance with treatment does not meet best practice guidelines for managing chronic severe mental illness. Subsequently, the AI2 application alerts clinicians and patients when patients do not adhere to guidelines for treatment. The aim of this study was to evaluate the impact of the AI2 application on the risk of hospitalisation a...
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251), 1999
2008 IEEE International Conference on Intelligence and Security Informatics, 2008
Sem@ntica is a system for extracting the information contained in collections of documents into a... more Sem@ntica is a system for extracting the information contained in collections of documents into a knowledge base. It combines high quality conventional named entity analysis with an ontology class labeling capability for open class words. The ontology comprises an upper ontology and one or more domain ontologies. The system has tools for rapidly designing the ontology and mapping segments of
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251), 1999
The detection of signals in clutter depends not only on good signal models and optimal processing... more The detection of signals in clutter depends not only on good signal models and optimal processing, but also on accurate clutter models. An eective approch to land mine detection is the use of infrared imagery to detect thermal perturbations in the soil surface temperature caused by buried land mines. The purpose of this study is to investigate the value of augmenting long- and short-wave infrared imagery by red{green{blue visual imagery, in order to model vegetative clutter and thereby to detect land mines with greater probability and suer fewer false alarms. This study applies the shared mixture classier reported in earlier [14]. 1. HISTORICAL PERSPECTIVE The problem of safely and reliably detecting buried landmines has not yet been solved in any situation. We believe that any satisfactory device will require multiple sensors and high quality algorithms informed by physical and expert information and statistical data. For the last three years we have carried out a number of inves...
Spotter is a exible extensible software tool for interactive development, application and testing... more Spotter is a exible extensible software tool for interactive development, application and testing of algorithms for detecting objects in multi-spectral imagery. Images from dierent sensors are registered, and low level features are extracted. Feature selection and reduction algorithms generate reduced dimension feature sets. Feature images are soft classied, pixel by pixel, and the output is used to drive a preliminary detection process to identify regions of interest (ROI). Geometric features are extracted from the ROI, which are then soft classied, and a detection decision decision is made for each. Many algorithms are provided, including Gaussian mixture model classiers and shared mixture classiers. Mixture of experts classiers enable physically inspired classiers to be incorporated to complement statistical designs. 1. INTRODUCTION The Spotter package was developed by CSSIP to aid in the creation and evaluation of algorithms for detecting buried land mines. The algorithms ...
Studies in health technology and informatics, 2018
The rapid ageing of the population is a worldwide inexorable demographic transformation. At a tim... more The rapid ageing of the population is a worldwide inexorable demographic transformation. At a time of immense social, political and economic change, the growing elderly population is at the forefront of global burden, placing an increasing strain on the federal, state, and local budgets. Many public policy responses to the impending ageing epidemic have begun, particularly with regards to dementia prevention and quality of life for older adults. However, to date, the fruition of such efforts remains to be discovered. Indeed, there is a need to find more novel and multifaceted ways of understanding the fragmentary changes and underlying mechanisms in the biopsychosocial contexts of ageing. Discovering better ways to measure these intricate domains will create better insight into how to improve clinical and public health information systems for the development of more personalisation support and services across the continuum of aged care. Technology now permeates all aspects of our ev...
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
The efficacy of behavioural activation in the treatment of major depressive disorders has been es... more The efficacy of behavioural activation in the treatment of major depressive disorders has been established in a number of studies over the last four decades. Although a number of recent studies show that behavioural activation administered via a smartphone application has the potential to be effective in the treatment of depression, these opportunities are tempered by the problem that these interventions have high dropout rates. However, recent research finds that personalisation of content can positively influence engagement. We present MindTick, a smartphone-based behavioural activation application using a recommender system to deliver personalized content to encourage users to engage in behavioural activation activities.
Non-adherence with pharmacologic treatment is associated with increased rates of relapse and reho... more Non-adherence with pharmacologic treatment is associated with increased rates of relapse and rehospitalisation among patients with schizophrenia and bipolar disorder. To improve treatment response, remission, and recovery, research efforts are still needed to elucidate how to effectively map patient’s response to medication treatment including both therapeutic and adverse effects, compliance, and satisfaction in the prodromal phase of illness (ie, the time period in between direct clinical consultation and relapse). The Actionable Intime Insights (AI2) application draws information from Australian Medicare administrative claims records in real time when compliance with treatment does not meet best practice guidelines for managing chronic severe mental illness. Subsequently, the AI2 application alerts clinicians and patients when patients do not adhere to guidelines for treatment. The aim of this study was to evaluate the impact of the AI2 application on the risk of hospitalisation a...
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251), 1999
2008 IEEE International Conference on Intelligence and Security Informatics, 2008
Sem@ntica is a system for extracting the information contained in collections of documents into a... more Sem@ntica is a system for extracting the information contained in collections of documents into a knowledge base. It combines high quality conventional named entity analysis with an ontology class labeling capability for open class words. The ontology comprises an upper ontology and one or more domain ontologies. The system has tools for rapidly designing the ontology and mapping segments of
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251), 1999
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Papers by Geoff Jarrad