Browsing by Subject Machine learning

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Showing results 61 to 80 of 356 < previous   next >
Issue DateTitleAuthor(s)
2021A comparative study of convolutional neural networks for the detection of strong gravitational lensingMagro, Daniel; Adami, Kristian; DeMarco, Andrea; Riggi, Simone; Sciacca, Eva
2018Comparison of machine learning approaches with a general linear model to predict personal exposure to benzeneAquilina, Noel; Delgado-Saborit, Juana Maria; Bugelli, Stefano; Padovani Ginies, Jason; Harrison, Roy M.
2018A comparison of Measure-Correlate-Predict Methodologies using LiDAR as a candidate site measurement device for the Mediterranean Island of MaltaMifsud, Michael D.; Sant, Tonio; Farrugia, Robert N.
2015Computational intelligence for the prediction of financial marketsGruesgen, Gerrit
2015Computational intelligence for the prediction of financial marketsGerrit, Gruesgen (2015)
2019Conflict of nationsKudde, Dale (2019)
2017Constructing a web application for identification, detection and analysis of pattern based fraudMavrova, Aneliya Dicheva
2023Conversations with AI : discussing ethics in NLPCassar, Daniel (2023)
1989A cost effective computer based educational systemCamilleri, Colin (1989)
2021COVID-19-related changes in NO2 and O3 concentrations and associated health effects in MaltaFenech, Sara; Aquilina, Noel; Vella, Ryan
2020Credit card fraud detection with oversamplingDemicoli, Julian (2020)
2022Crime analysisAttard, Karl (2022)
2010Crowd dynamics in emergency situationsGatt, Brian (2010)
2020A data analytic and machine learning approach to diabetes monitoringCilia, Daniel Anthony (2020)
2021A data analytic approach to property price prediction, influenced by geographic elementsScicluna Calleja, Michael (2021)
2019-08Data-driven cross-talk modeling of beam losses in LHC collimatorsAzzopardi, Gabriella; Salvachua, Belen; Valentino, Gianluca
2021Decoding sensors data using machine learning algorithms to detect an individual’s stress levelsAzzopardi, Daniel (2021)
2023Deep dive data and knowledgeKaltenböck, Martin; Revenko, Artem; Choukri, Khalid; Boytcheva, Svetla; Lieske, Christian; Lynn, Teresa; Rigau, German; Heuschkel, Maria; Farwell, Aritz; Jones, Gareth; Aldabe, Itziar; Estarrona, Ainara; Marheinecke, Katrin; Piperidis, Stelios; Arranz, Victoria; Vandeghinste, Vincent; Borg, Claudia
2021Deep learning for procedural content generationLiu, Jialin; Snodgrass, Sam; Khalifa, Ahmed; Risi, Sebastian; Yannakakis, Georgios N.; Togelius, Julian
2021Deep reinforcement learning for financial portfolio optimisationCuchieri, Nigel (2021)