22 citations · 31 across the 3 of their papers we have counts for
5 papers
MLGuard: Defend Your Machine Learning Model!
Sheng Wong, Scott Barnett, Jessica Rivera-Villicana +4
Machine Learning (ML) is used in critical highly regulated and high-stakes fields such as finance, medicine, and transportation. The correctness of these ML applications is importa…
A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects
Andrew J. Simmons, Scott Barnett, Jessica Rivera-Villicana +2
Background: Meeting the growing industry demand for Data Science requires cross-disciplinary teams that can translate machine learning research into production-ready code. Software…
Informing a BDI Player Model for an Interactive Narrative
Jessica Rivera-Villicana, Fabio Zambetta, James Harland +1
This work focuses on studying players behaviour in interactive narratives with the aim to simulate their choices. Besides sub-optimal player behaviour due to limited knowledge abou…
Exploring Apprenticeship Learning for Player Modelling in Interactive Narratives
Jessica Rivera-Villicana, Fabio Zambetta, James Harland +1
In this paper we present an early Apprenticeship Learning approach to mimic the behaviour of different players in a short adaption of the interactive fiction Anchorhead. Our motiva…
Towards Intelligent Interactive Theatre: Drama Management as a way of Handling Performance
Nic Velissaris, Jessica Rivera-Villicana
In this paper, we present a new modality for intelligent interactive narratives within the theatre domain. We discuss the possibilities of using an intelligent agent that serves as…