Browsing by Author Layfield, Colin

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Showing results 4 to 17 of 17 < previous 
Issue DateTitleAuthor(s)
2019ELD : event timeline detection - a participant-based approach to tracking eventsMamo, Nicholas; Azzopardi, Joel; Layfield, Colin
2017Experiments with document retrieval from small text collections using latent semantic analysis or term similarity with query coordination and automatic relevance feedbackLayfield, Colin; Azzopardi, Joel; Staff, Chris
2016Extended no-K-Means for search results clusteringAzzopardi, Joel; Staff, Chris; Layfield, Colin
2021Fine-grained topic detection and tracking on TwitterMamo, Nicholas; Azzopardi, Joel; Layfield, Colin
2017A framework for measuring VR-based instruction effectivenessVassallo, Keith; Camilleri, Vanessa; Layfield, Colin; Montebello, Matthew
2023From event tracking to event modelling : understanding as a paradigm shiftMamo, Nicholas; Layfield, Colin; Azzopardi, Joel
2016Mobile language learning : providing tools that allow the asynchronous, casual and sometimes gamified learning of languages on mobile devicesVassallo, Keith; Garg, Lalit; Layfield, Colin
2017Multi-lingual LSA with Serbian and Croatian : an investigative case studyLayfield, Colin; Ivanović, Dragan; Azzopardi, Joel
2023-04-05The myth of reproducibility : a review of event tracking evaluations on TwitterMamo, Nicholas; Azzopardi, Joel; Layfield, Colin
2015Search results clustering without external resourcesStaff, Chris; Azzopardi, Joel; Layfield, Colin; Mercieca, Dan
2015-03-16Tablets reportDingli, Alexiei; Garg, Lalit; Layfield, Colin; Montebello, Matthew
2021“To trust a LIAR”: does machine learning really classify fine-grained, fake news statements?Mifsud, Mark; Layfield, Colin; Azzopardi, Joel; Abela, John
2018Vehicular traffic flow intensity detection and prediction through mobile data usageSaliba, Maurice; Abela, Charlie; Layfield, Colin
2021Who? What? Event tracking needs event understandingMamo, Nicholas; Azzopardi, Joel; Layfield, Colin