Dynamic Selection of a Video Content Adaptation Strategy from a Pareto Front

Sofokleous, Anastasis A.; Angelides, Marios C.

doi:10.1093/comjnl/bxn035

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…Game theorists argue that the distribution of optimal solutions on a Pareto Front suggests the existence of a Bbest-fit^optimal recommendation D i . Sofokleous and Angelides [30] calculates Euclidean Distances (ED) between each chromosome, i.e. a similarity measure between two chromosomes:…”

Section: Steps 5 and 6: Comparative Analysis And Recommendation Genermentioning

confidence: 99%

Wearable data analysis, visualisation and recommendations on the go using android middleware

Angelides

Wilson

Echeverría

2018

Multimed Tools Appl

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Wearable technology comes with the promise of improving one's lifestyles thru data mining of their physiological condition. The potential to generate a change in daily or routine habits thru these devices leaves little doubt. Whilst the hardware capabilities of wearables have evolved rapidly, software apps that interpret and present the physiological data and make recommendations in a simple, clear and meaningful way have not followed a similar pattern of evolution. Existing fitness apps provide routinely some information to the wearer by mining personal data but the subsequent analysis is limited to supporting ad hoc personal goals. The information and recommendations presented are often either not entirely relevant or incomplete and often not easy to interpret by the wearer. The primary motivation behind this research is to address this wearable technology software challenge by developing a middleware mobile app that is supported by data analytics and machine learning to assist with interpretation of wearer data and with making of personal lifestyle improvement recommendations on the go which may then be used to feedback to the wearer's daily goals and activities. The secondary motivation is to correlate and compare with trends in the wearer's peer community.

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Section: Steps 5 and 6: Comparative Analysis And Recommendation Genermentioning

confidence: 99%

Wearable data analysis, visualisation and recommendations on the go using android middleware

Angelides

Wilson

Echeverría

2018

Multimed Tools Appl

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“…Sofokleous and Angelides [75] refine further the selection process of an optimal D i by putting the Pareto distribution though a Self-Organizing Neural Network (SONN) in order to rank the non-dominated chromosomes. The SONN calculates Euclidean Distances (ED) between each chromosome, a measure that calculates the similarity between two chromosomes: API.…”

Section: Selection Of An Optimal Decision In Lu-lumentioning

confidence: 99%

Lu-Lu: A framework for collaborative decision making games

Daylamani-Zad

Angelides

Agius

2016

Decision Support Systems

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This paper proposes Lu-Lu as an add-on architecture to open MMOGs and social network games, which has been developed to utilise a key set of ingredients that underline collaborative decision making games as reported within the research literature: personalisation, team matching, non-optimal decision making, leading, decisiveness index, scoring, levelling, and multiple stages. The implementation of Lu-Lu is demonstrated as an add on to the classic supply chain beer game, including customisation of Lu-Lu to facilitate information exchange through the Facebook games platform, e.g. Graph API and Scores API. Performance assessment of Lu-Lu using Behaviour Driven Development suggests a successful integration of all key ingredients within Lu-Lu's architecture, yielding autonomous behaviour that improves both player enjoyment and decision making.

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A Game Approach to Integrating MPEG‐7 in MPEG‐21 for Dynamic Bandwidth Dealing

Sofokleous

Angelides

2010

The Handbook of MPEG Applications

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Dynamic Selection of a Video Content Adaptation Strategy from a Pareto Front

Cited by 7 publications

References 24 publications

Wearable data analysis, visualisation and recommendations on the go using android middleware

Wearable data analysis, visualisation and recommendations on the go using android middleware

Lu-Lu: A framework for collaborative decision making games

A Game Approach to Integrating MPEG‐7 in MPEG‐21 for Dynamic Bandwidth Dealing

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