Výsledky vyhledávání - "Senadeera, Manisha"

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Predictive Modeling through Hyper-Bayesian Optimization

Autor: Senadeera, Manisha, Rana, Santu, Gupta, Sunil, Venkatesh, Svetha

Model selection is an integral problem of model based optimization techniques such as Bayesian optimization (BO). Current approaches often treat model selection as an estimation problem, to be periodically updated with observations coming from the op

Externí odkaz: http://arxiv.org/abs/2308.00285

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EMOTE: An Explainable architecture for Modelling the Other Through Empathy

Autor: Senadeera, Manisha, George, Thommen Karimpanal, Gupta, Sunil, Jacobs, Stephan, Rana, Santu

We can usually assume others have goals analogous to our own. This assumption can also, at times, be applied to multi-agent games - e.g. Agent 1's attraction to green pellets is analogous to Agent 2's attraction to red pellets. This "analogy" assumpt

Externí odkaz: http://arxiv.org/abs/2306.00295

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Akademický článek

Utilising causal inference methods to estimate effects and strategise interventions in observational health data.

Autor: Duong, Bao¹ (AUTHOR), Senadeera, Manisha¹ (AUTHOR), Nguyen, Toan¹ (AUTHOR) k.nguyen@deakin.edu.au, Nichols, Melanie² (AUTHOR), Backholer, Kathryn² (AUTHOR), Allender, Steven² (AUTHOR), Nguyen, Thin¹ (AUTHOR)

Publikováno v: PLoS ONE. 12/30/2024, Vol. 19 Issue 12, p1-23. 23p.

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The Three Ghosts of Medical AI: Can the Black-Box Present Deliver?

Autor: Quinn, Thomas P., Jacobs, Stephan, Senadeera, Manisha, Le, Vuong, Coghlan, Simon

Our title alludes to the three Christmas ghosts encountered by Ebenezer Scrooge in \textit{A Christmas Carol}, who guide Ebenezer through the past, present, and future of Christmas holiday events. Similarly, our article will take readers through a jo

Externí odkaz: http://arxiv.org/abs/2012.06000

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Trust and Medical AI: The challenges we face and the expertise needed to overcome them

Autor: Quinn, Thomas P., Senadeera, Manisha, Jacobs, Stephan, Coghlan, Simon, Le, Vuong

Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. However, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public tru

Externí odkaz: http://arxiv.org/abs/2008.07734

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