Sanguthevar Rajasekaran
Department Head & Distinguished Professor/Computing
Storrs Mansfield
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Scholarly Contributions
239 Scholarly Contributions
Special Issue: 11th International Computational Advances in Bio and Medical Sciences (ICCABS 2021)
2023
Research Type: Journal Article
A fast privacy-preserving patient record linkage of time series data
2023
Research Type: Journal Article
Special Issue: 11th International Computational Advances in Bio and Medical Sciences (ICCABS 2021).
2023
Research Type: Journal Article
Computational Advances in Bio and Medical Sciences: 11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers
2022
Research Type: Book
Predicting band gaps and band-edge positions of oxide perovskites using density functional theory and machine learning
2022
Research Type: Journal Article
Indoor radon exposure and its correlation with the radiometric map of uranium in Sweden
2022
Research Type: Journal Article
Special Issue: 9th International Computational Advances in Bio and Medical Sciences (ICCABS 2019).
2021
Research Type: Journal Article
Special Issue: 10th International Computational Advances in Bio and Medical Sciences (ICCABS 2020)
2021
Research Type: Journal Article
EMS3: An improved algorithm for finding edit-distance based motifs
2021
Research Type: Journal Article
Automatic subject-specific spatiotemporal feature selection for subject-independent affective BCI
2021
Research Type: Journal Article
Temporal and seasonal variations in incidence of stage II and III NEC—a 28-year epidemiologic study from tertiary NICUs in Connecticut, USA
2021
Research Type: Journal Article
Computational Advances in Bio and Medical Sciences - 10th International Conference, ICCABS 2020, Virtual Event, December 10-12, 2020, Revised Selected Papers
2021
Research Type: Other Scholarly Work
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent
2020
Research Type: Journal Article
Semi-Automated Evidence Synthesis in Health Psychology : Current Methods and Future Prospects
2020
Research Type: Journal Article