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Issue DateTitleAuthor(s)
2019The Prevalence of Errors in Machine Learning ExperimentsShepperd, M; Guo, Y; Li, N; Arzoky, M; Capiluppi, A; Counsell, S; Destefanis, G; Swift, S; Tucker, A; Yousefi, L
13-Dec-2020Innovations in Simulation: Experiences with Cloud-based Simulation ExperimentationTaylor, SJE; Anagnostou, A; Abubakar, N; Kiss, T; DesLauriers, J; Terstyanszky, G; Kacsuk, P; Kovacs, J; Kite, S; Pattison, G; Petry, J
2018An Architecture for an Autoscaling Cloud-Based System for Simulation ExperimentationTaylor, SJE; Anagnostou, A; Kiss, T; Pattison, G; Kite, S; Kovacs, J; Kacsuk, P
2019Crisis, what crisis - Does reproducibility in modeling & simulation really matter?Taylor, SJE; Eldabi, T; Monks, T; Rabe, M; Uhrmacher, AM
25-Sep-2018Towards a reference ontology on mulsemedia systemsSaleme, EB; Santos, CAS; Falbo, RA; Ghinea, G; Andres, F
25-Sep-2018A study on the quality of experience of crossmodal mulsemediaCovaci, A; Kani-Zabihi, E; Mesfin, G; Andres, F; Hussain, N; Ghinea, G
2016The impact of big data on M&S: Do we need to get "big"?Taylor, SJE
17-Oct-2019On the Relationship Between Coupling and Refactoring: An Empirical ViewpointCounsell, S; Arzoky, M; Destefanis, G; Taibi, D
3-Oct-2019Locating bug IDs and development logs in open source software (OSS) projects: An experience reportRomo, BA; Capiluppi, A; Ali, A
22-Aug-2019Reducing procrastination while improving performance: A Wiki-powered Experiment with StudentsBalderas, A; Capiluppi, A; Palomo-Duarte, M; Malizia, A; Dodero, JM