Showing results 19 to 38 of 116
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| Issue Date | Title | Author(s) |
| 21-Aug-2021 | DeepHistoClass: A novel strategy for confident classification of immunohistochemistry images using Deep Learning | Ghoshal, B; Hikmet, F; Pineau, C; Tucker, A; Lindskog, C |
| 2019 | Developing an intrusion detection model for distributed denial of service attacks in cloud computing | Ahmadi, Roja |
| 2014 | Discovering study-specific gene regulatory networks | Bo, V; Curtis, T; Lysenko, A; Saqi, M; Swift, S; Tucker, A |
| 2-Apr-2020 | DO-U-Net for Segmentation and Counting: Applications to Satellite and Medical Images | Overton, T; Tucker, A |
| 2010 | Does one trust judgement fit all? Linking theory and empirics | Fisher, J; van Heerde, J; Tucker, A |
| 2015 | Enhancing practice and achievement in introductory programming with a robot olympics | Scott, MJ; Counsell, S; Lauria, S; Swift, S; Tucker, A; Shepperd, M; Ghinea, G |
| 2015 | Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics | Scott, MJ; Counsell, S; Lauria, S; Swift, S; Tucker, A; Shepperd, M; Ghinea, G |
| 2024 | Ensemble learning for optimal cluster estimation | Odebode, Afees Adegoke |
| 2017 | Erratum to: Impact of e-publication changes in the International Code of Nomenclature for algae, fungi and plants (Melbourne Code, 2012) - did we need to “run for our lives”? | Nicolson, N; Challis, K; Tucker, A; Knapp, S |
| 11-Jul-2022 | Estimating the Optimal Number of Clusters from Subsets of Ensembles | Odebode, A; Tucker, A; Arzoky, M; Swift, S |
| 27-Mar-2020 | Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection | Ghoshal, B; Tucker, A |
| 22-Oct-2020 | Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians in Medical Image Segmentation and Diseases Detection | Ghoshal, B; Tucker, A; Sanghera, B; Wong, WL |
| 2-Apr-2020 | Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics | Ghoshal, B; Lindskog, C; Tucker, A |
| 7-Jun-2021 | Evaluating a longitudinal synthetic data generator using real world data | Wang, Z; Myles, P; Jain, A; Keidel, JL; Liddi, R; Mackillop, L; Velardo, C; Tucker, A |
| 2001 | Evolutionary learning of dynamic probabilistic models with large time lags | Tucker, A; Liu, X; Ogden-Swif, A |
| 2018 | Experts Integrate Explicit Contextual Priors and Environmental Information to Improve Anticipation Efficiency | Gredin, NV; Bishop, DT; Broadbent, DP; Tucker, A; Williams, AM |
| 2021 | Explainable machine learning for educational data | Al Luhaybi, Mashael |
| 9-Nov-2018 | An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem | Ayed, S; Arzoky, M; Swift, S; Counsell, S; Tucker, A |
| 2023 | Exploring the topology of progressive disease data | Sajjadi, Seyed Erfan |
| 2013 | Extending Bayesian network models for mining and classification of glaucoma | Ceccon, Stefano |
