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- ArticleOctober 2019
Few-Shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect DataPages 181–189https://doi.org/10.1007/978-3-030-33391-1_21AbstractImage modality recognition is essential for efficient imaging workflows in current clinical environments, where multiple imaging modalities are used to better comprehend complex diseases. Emerging biomarkers from novel, rare modalities are being ...
- research-articleMay 2016
A novel battery network modelling using constraint differential evolution algorithm optimisation
Knowledge-Based Systems (KNBS), Volume 99, Issue CPages 10–18https://doi.org/10.1016/j.knosys.2016.01.019A novel battery network system with optimal management of energy is proposed.An optimal management strategy has been implemented.The constraint differential evolution optimisation is applied to above system.The new strategy can remove more peak areas of ...
- research-articleApril 2016
Daleel: Simplifying cloud instance selection using machine learning
NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management SymposiumPages 557–563https://doi.org/10.1109/NOMS.2016.7502858Decision making in cloud environments is quite challenging due to the diversity in service offerings and pricing models, especially considering that the cloud market is an incredibly fast moving one. In addition, there are no hard and fast rules; each ...
- research-articleFebruary 2016
Towards Modelling Language Innovation Acceptance in Online Social Networks
WSDM '16: Proceedings of the Ninth ACM International Conference on Web Search and Data MiningPages 553–562https://doi.org/10.1145/2835776.2835784Language change and innovation is constant in online and offline communication, and has led to new words entering people's lexicon and even entering modern day dictionaries, with recent additions of 'e-cig' and 'vape'. However the manual work required ...
- research-articleJanuary 2016
Mining User Development Signals for Online Community Churner Detection
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 10, Issue 3Article No.: 21, Pages 1–28https://doi.org/10.1145/2798730Churners are users who stop using a given service after previously signing up. In the domain of telecommunications and video games, churners represent a loss of revenue as a user leaving indicates that they will no longer pay for the service. In the ...
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- research-articleAugust 2015
Language Innovation and Change in On-line Social Networks
HT '15: Proceedings of the 26th ACM Conference on Hypertext & Social MediaPages 311–314https://doi.org/10.1145/2700171.2804449Language is fundamental to human communication - throughout the course of history language has constantly evolved. This can currently be seen in the changing forms of colloquial language in various on-line social networks (OSN's). These innovations in ...
- otherMay 2015
#Microposts2015 -- 5th Workshop on 'Making Sense of Microposts': Big things come in small packages
WWW '15 Companion: Proceedings of the 24th International Conference on World Wide WebPages 1551–1552https://doi.org/10.1145/2740908.2743860#Microposts2015, the 5th workshop on 'Making Sense of Microposts', is summarised by the sub-theme: 'big things come in small packages'. The workshop was borne out of research we were each carrying out as microblogging platforms became increasingly ...
- research-articleDecember 2014
Adaptive decision making in multi-cloud management
CCB '14: Proceedings of the 2nd International Workshop on CrossCloud SystemsArticle No.: 4, Pages 1–6https://doi.org/10.1145/2676662.2676676The more cloud providers in the market the more information users have to handle to choose the best and suitable option for their application or business. The diversity in cloud services is a challenge for automated decision making in the multi-cloud ...
- ArticleOctober 2014
Transferring Semantic Categories with Vertex Kernels: Recommendations with SemanticSVD++
AbstractMatrix Factorisation is a recommendation approach that tries to understand what factors interest a user, based on his past ratings for items (products, movies, songs), and then use this factor information to predict future item ratings. A central ...
- ArticleAugust 2014
SemanticSVD++: Incorporating Semantic Taste Evolution for Predicting Ratings
WI-IAT '14: Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 01Pages 213–220https://doi.org/10.1109/WI-IAT.2014.36Recommender systems profile the preferences of users and then use this information to forecast users' future ratings. One of the most common recommendation approaches is the use of matrix factorisation in which users' past ratings of items (i.e. Movies, ...
- research-articleJune 2014
Towards tracking and analysing regional alcohol consumption patterns in the UK through the use of social media
WebSci '14: Proceedings of the 2014 ACM conference on Web sciencePages 220–228https://doi.org/10.1145/2615569.2615678Monitoring rates of alcohol consumption across the UK is a timely problem due to ever-increasing drinking levels. This has led to calls from public services (e.g. police and health services) to assess the effect it is having on people and society. ...
- research-articleJune 2014
Mining and comparing engagement dynamics across multiple social media platforms
WebSci '14: Proceedings of the 2014 ACM conference on Web sciencePages 229–238https://doi.org/10.1145/2615569.2615677Understanding what attracts users to engage with social media content (i.e. reply-to, share, favourite) is important in domains such as market analytics, advertising, and community management. To date, many pieces of work have examined engagement ...
- short-paperApril 2014
The semantic evolution of online communities
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide WebPages 433–438https://doi.org/10.1145/2567948.2576929Despite their semantic-rich nature, online communities have, to date, largely been analysed through examining longitudinal changes in social networks, community uptake, or simple term-usage and language adoption. As a result, the evolution of communities ...
- ArticleNovember 2013
Changing with Time: Modelling and Detecting User Lifecycle Periods in Online Community Platforms
SocInfo 2013: Proceedings of the 5th International Conference on Social Informatics - Volume 8238Pages 30–39https://doi.org/10.1007/978-3-319-03260-3_3In this paper we define the development of a user from entry to churn as his lifecycle that can be divided into discrete stages of development known as lifecycle periods. Prior work has examined how social networking site users have developed along ...
- sectionMay 2013
- research-articleMay 2013
Harnessing linked knowledge sources for topic classification in social media
HT '13: Proceedings of the 24th ACM Conference on Hypertext and Social MediaPages 41–50https://doi.org/10.1145/2481492.2481497Topic classification (TC) of short text messages offers an effective and fast way to reveal events happening around the world ranging from those related to Disaster (e.g. Sandy hurricane) to those related to Violence (e.g. Egypt revolution). Previous ...
- articleJanuary 2013
Ontology paper: Community analysis through semantic rules and role composition derivation
Web Semantics: Science, Services and Agents on the World Wide Web (WEBS), Volume 18, Issue 1Pages 31–47https://doi.org/10.1016/j.websem.2012.05.002Online communities provide a useful environment for web users to communicate and interact with other users by sharing their thoughts, ideas and opinions, and for resolving problems and issues. Companies and organisations now host online communities in ...
- ArticleNovember 2012
Who will follow whom? exploiting semantics for link prediction in attention-information networks
ISWC'12: Proceedings of the 11th international conference on The Semantic Web - Volume Part IPages 476–491https://doi.org/10.1007/978-3-642-35176-1_30Existing approaches for link prediction, in the domain of network science, exploit a network's topology to predict future connections by assessing existing edges and connections, and inducing links given the presence of mutual nodes. Despite the rise in ...
- ArticleSeptember 2012
Ignorance Isn't Bliss: An Empirical Analysis of Attention Patterns in Online Communities
SOCIALCOM-PASSAT '12: Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and TrustPages 101–110https://doi.org/10.1109/SocialCom-PASSAT.2012.33Online community managers work towards building and managing communities around a given brand or topic. Arisk imposed on such managers is that their community may die out and its utility diminish to users. Understanding what drives attention to content ...
- ArticleSeptember 2012
What Makes Communities Tick? Community Health Analysis Using Role Compositions
SOCIALCOM-PASSAT '12: Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and TrustPages 267–276https://doi.org/10.1109/SocialCom-PASSAT.2012.18Today's Web is social and largely driven by a wide variety of online communities. Many such communities are owned and managed by businesses that draw much value from these communities, in the form of efficient and cheaper customer support, generation of ...