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Article

Kolozali, Sefki and Fasli, Maria and White, Sara L and Norris, Shane and van Heerden, Alastair (2024) Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study with a Cohort Group in South Africa. IEEE Journal of Biomedical and Health Informatics, 28 (4). pp. 1860-1871. DOI https://doi.org/10.1109/jbhi.2024.3361505 (In Press)

Kolozali, Sefki and Chatzidiakou, Lia and Rones, Roderic and Quint, Jennifer K and Kelly, Frank and Barratt, Benjamin (2023) Early Detection of COPD Patients’ Symptoms with Personal Environmental Sensors: A Remote Sensing Framework using Probabilistic Latent Component Analysis with Linear Dynamic Systems. Neural Computing and Applications, 35 (23). pp. 17247-17265. DOI https://doi.org/10.1007/s00521-023-08554-5

van Heerden, Alastair and Kolozali, Şefki and Norris, Shane A (2023) Feasibility and acceptability of continuous at-home glucose monitoring during pregnancy: a mixed-methods pilot study. South African Journal of Clinical Nutrition, 36 (3). pp. 100-107. DOI https://doi.org/10.1080/16070658.2022.2114408

Wachter, Eduardo Weber and Kasap, Server and Kolozali, Sefki and Zhai, Xiaojun and Ehsan, Shoaib and McDonald-Maier, Klaus (2022) Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation. Nuclear Engineering and Technology, 54 (11). pp. 3985-3995. DOI https://doi.org/10.1016/j.net.2022.06.028

Van Heerden, Alastair and Comulada, W Scott and Kolozali, Şefki and Kohrt, Brandon (2021) Drawing open the curtain on home-based interventions. mHealth, 7 (2). p. 18. DOI https://doi.org/10.21037/mhealth.2020.01.02

Kolozali, Sefki and Bermudez-Edo, Maria and FarajiDavar, Nazli and Barnaghi, Payam and Gao, Feng and Intizar Ali, Muhammad and Mileo, Alessandra and Fischer, Martin and Iggena, Thorben and Kuemper, Daniel and Tonjes, Ralf (2019) Observing the Pulse of a City: A Smart City Framework for Real-time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet of Things Journal, 6 (2). pp. 2651-2668. DOI https://doi.org/10.1109/JIOT.2018.2872606

van den Brink, Linda and Barnaghi, Payam and Tandy, Jeremy and Atemezing, Ghislain A and Atkinson, Rob and Cochrane, Byron and Fathy, Yasmin and García-Castro, Raúl and Haller, Armin and Harth, Andreas and Janowicz, Krzysztof and Kolozali, Sefki and van Leeuwen, Bart and Lefrançois, Maxime and Lieberman, Josh and Perego, Andrea and Le Phuoc, Danh and Roberts, Bill and Taylor, Kerry and Troncy, Raphael (2019) Best Practices for Publishing, Retrieving, and Using Spatial Data on the Web. Semantic Web, 10 (1). pp. 95-114. DOI https://doi.org/10.3233/sw-180305

Quint, Jennifer K and Moore, Elisabeth and Lewis, Adam and Hashmi, Maimoona and Sultana, Kirin and Wright, Mark and Smeeth, Liam and Chatzidiakou, Lia and Jones, Roderic and Beevers, Sean and Kolozali, Sefki and Kelly, Frank and Barratt, Benjamin (2018) Recruitment of patients with Chronic Obstructive Pulmonary Disease (COPD) from the Clinical Practice Research Datalink (CPRD) for research. npj Primary Care Respiratory Medicine, 28 (1). 21-. DOI https://doi.org/10.1038/s41533-018-0089-3

Kolozali, Sefki and Puschmann, Daniel and Bermudez-Edo, Maria and Barnaghi, Payam (2016) On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. IEEE Internet of Things Journal, 3 (6). pp. 1084-1098. DOI https://doi.org/10.1109/JIOT.2016.2553080

Monograph

Farajidavar, Nazli and Kolozali, Sefki and Barnaghi, Payam (2017) A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams. Working Paper. Arxiv.

Conference or Workshop Item

Ngo, Dat and Pham, Lam and Hoang, Truong and Kolozali, Sefki and Jarchi, Delaram (2022) Audio-Based Deep Learning Frameworks for Detecting COVID-19. In: 2022 30th European Signal Processing Conference (EUSIPCO), 2022-08-29 - 2022-09-02, Belgrade, Serbia.