By Professor Arcot Sowmya

Preprints

Rana P; Sowmya A; Meijering E; Song Y, 2022, Imbalanced classification for protein subcellular localisation with multilabel oversampling, http://dx.doi.org/10.1101/2022.09.12.507675

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease, http://arxiv.org/abs/2209.04793v1

Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.1101/2022.08.30.505762

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers, http://arxiv.org/abs/2207.02380v1

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery, http://arxiv.org/abs/2207.01822v1

Xu H; Wang D; Sowmya A, 2022, Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis, http://dx.doi.org/10.48550/arxiv.2207.01345

Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.21203/rs.3.rs-1645828/v1

Vijayan A; Fatima S; Sowmya A; Vafaee F, 2022, Blood-based transcriptomic signature panel identification for cancer diagnosis: Benchmarking of feature extraction methods, http://dx.doi.org/10.1101/2022.03.13.483368

Iyer S; Blair A; Dawes L; Moses D; White C; Sowmya A, 2021, Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning, http://dx.doi.org/10.48550/arxiv.2112.03276

Aldausari N; Sowmya A; Marcus N; Mohammadi G, 2020, Video Generative Adversarial Networks: A Review, http://dx.doi.org/10.48550/arxiv.2011.02250

Ghaffari M; Sowmya A; Oliver R, 2020, Brain tumour segmentation using cascaded 3D densely-connected U-net, http://dx.doi.org/10.48550/arxiv.2009.07563

Zhou F; Li Z; Fan X; Wang Y; Sowmya A; Chen F, 2019, Scalable Inference for Nonparametric Hawkes Process Using P\'{o}lya-Gamma Augmentation, http://dx.doi.org/10.48550/arxiv.1910.13052

Zhou F; Li Z; Fan X; Wang Y; Sowmya A; Chen F, 2019, Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants, http://dx.doi.org/10.48550/arxiv.1906.02438

Zhou F; Li Z; Fan X; Wang Y; Sowmya A; Chen F, 2019, Efficient EM-Variational Inference for Hawkes Process, http://dx.doi.org/10.48550/arxiv.1905.12251

Goldsmith BE; Butcher CR; Semenovich D; Sowmya A, Elections and Political Instability: Ballots to Bullets, Voting to Violence?, http://dx.doi.org/10.2139/ssrn.2074874

Goldsmith BE; Butcher CR; Semenovich D; Sowmya A, Forecasting the Onset of Genocide and Politicide: Annual Out-of-Sample Forecasts on a Global Dataset, 1988-2003, http://dx.doi.org/10.2139/ssrn.2027396

Other

Hasan MM; Phu J; Sowmya A; Meijering E; Kalloniatis M, 2024, CPD: Artificial intelligence 3: AI and diagnosis of glaucoma and neurodegenerative disease, http://dx.doi.org/10.12968/opti.2024.269.6945.25

Hasan MM; Meijering E; Sowmya A; Kalloniatis M; Phu J, 2024, A basic introduction to artificial intelligence for eye care professionals, http://dx.doi.org/10.12968/opti.2024.269.6937.33

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