Search Results for author: Manisha Senadeera

Found 4 papers, 0 papers with code

Predictive Modeling through Hyper-Bayesian Optimization

no code implementations1 Aug 2023 Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh

Specifically, we propose a novel way of integrating model selection and BO for the single goal of reaching the function optima faster.

Bayesian Optimization Model Selection

EMOTE: An Explainable architecture for Modelling the Other Through Empathy

no code implementations1 Jun 2023 Manisha Senadeera, Thommen Karimpanal George, Sunil Gupta, Stephan Jacobs, Santu Rana

This involves learning an "Imagination Network" to transform the other agent's observed state in order to produce a human-interpretable "empathetic state" which, when presented to the learning agent, produces behaviours that mimic the other agent.

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

no code implementations10 Dec 2020 Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera, Vuong Le, Simon Coghlan

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.

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

no code implementations18 Aug 2020 Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs, Simon Coghlan, Vuong Le

These consequences could erode public trust in AI, which could in turn undermine trust in our healthcare institutions.

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