| Issue Date | Title | Author(s) |
| 2022-08-08 | On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning | Kedziora, DJ; Nguyen, T-D; Musial, K; Gabrys, B |
| 2017-09-12 | Maximizing the impact of malaria funding through allocative efficiency: using the right interventions in the right locations. | Scott, N; Hussain, SA; Martin-Hughes, R; Fowkes, FJI; Kerr, CC; Pearson, R; Kedziora, DJ; Killedar, M; Stuart, RM; Wilson, DP |
| 2017 | Getting it right when budgets are tight: Using optimal expansion pathways to prioritize responses to concentrated and mixed HIV epidemics. | Stuart, RM; Kerr, CC; Haghparast-Bidgoli, H; Estill, J; Grobicki, L; Baranczuk, Z; Prieto, L; Montañez, V; Reporter, I; Gray, RT; Skordis-Worrall, J; Keiser, O; Cheikh, N; Boonto, K; Osornprasop, S; Lavadenz, F; Benedikt, CJ; Martin-Hughes, R; Hussain, SA; Kelly, SL; Kedziora, DJ; Wilson, DP |
| 2019-04-26 | NetPyNE, a tool for data-driven multiscale modeling of brain circuits. | Dura-Bernal, S; Suter, BA; Gleeson, P; Cantarelli, M; Quintana, A; Rodriguez, F; Kedziora, DJ; Chadderdon, GL; Kerr, CC; Neymotin, SA; McDougal, RA; Hines, M; Shepherd, GM; Lytton, WW |
| 2014-01-01 | Rogue waves and solitons on a cnoidal background | Kedziora, DJ; Ankiewicz, A; Akhmediev, N |
| 2016-09-01 | Rogue waves for a long wave–short wave resonance model with multiple short waves | Chan, HN; Ding, E; Kedziora, DJ; Grimshaw, R; Chow, KW |
| 2023-12-01 | Harnessing data augmentation to quantify uncertainty in the early estimation of single-photon source quality | Kedziora, DJ; Musial, A; Rudno-Rudzinski, W; Gabrys, B |
| 2024-04-01 | On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning | Kedziora, DJ; Nguyen, TD; Musial, K; Gabrys, B |
| 2023 | The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry | Scriven, A; Kedziora, DJ; Musial, K; Gabrys, B |
| 2023 | The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives | Khuat, TT; Kedziora, DJ; Gabrys, B |
