Browsing by Subject Machine Learning & Statistics

Showing results 1 to 11 of 11
Published DateTitleAuthor(s)
Oct-2014Analysis of the Semi-synchronous Approach to Large-scale Parallel Community FindingDuriakova, Erika; Hurley, Neil J.; Ajwani, Deepak; Sala, Alessandra
Aug-2015Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterionBertoletti, Marco; Friel, Nial; Rastelli, Riccardo
Jan-2016Clustering with the multivariate normal inverse Gaussian distributionO'Hagan, Adrian; Murphy, Thomas Brendan; Gormley, Isobel Claire; et al.
Oct-2014Exploring Tweet Engagement in the RecSys 2014 Data ChallengeWasilewski, Jacek; Hurley, Neil J.
Oct-2014Formalization of SLAs for Cloud Forensic ReadinessDe Marco, Lucia; Ferrucci, Filomena; Kechadi, Tahar
8-Jul-2016Machine Learning Techniques for Automatic Sensor Fault Detection in Airborne SHM NetworksMelia, Thomas; Cooke, Alan; Grayson, Siobhán
28-Feb-2017Machine Learning Techniques for Automatic Sensor Fault Detection in HUMS SystemsMelia, Thomas; Cooke, Alan; Grayson, Siobhán
Sep-2014Performance Evaluation of a Natural Language Processing approach applied in White Collar crime investigationvan Banerveld, Maarten; Le-Khac, Nhien-An; Kechadi, Tahar
5-Jun-2015UCD : Diachronic Text Classification with Character, Word, and Syntactic N-gramsSzymanski, Terrence; Lynch, Gerard
2017Use of Data Mining Techniques to Predict Short Term Adverse Events Occurrence in NB-UVB Phototherapy TreatmentsMohamed, Sharifa; Huang, Bingquan; Kechadi, Tahar
10-Sep-2016Windows on Waverley: exploring the effect of variations in the construction of literary social networksWade, Karen; Grayson, Siobhán