Sanguthevar Rajasekaran
Department Head & Distinguished Professor/Computing

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Scholarly Contributions

239 Scholarly Contributions

111
Conference Proceedings
81
Journal Articles
26
Other Scholarly Works
16
Poster/Presentations
3
Books
1
Patent and Intellectual Property
1
Digital and Electronic Media, Social Media, Blog, Podcast, Magazine/Trade Publication
Novel and Efficient Randomized Algorithms for Feature Selection
2020
Xia Xiao, Zigeng Wang, Sanguthevar Rajasekaran
Research Type: Journal Article

Selected articles from the 8th IEEE International Conference on Computational Advances in Bio and medical Sciences (ICCABS 2018)
2020
Ananth Kalyanaraman, Ion I Mandoiu, Pavel Skums, Yoo-Ah Kim, Alex Zelikovsky, Sanguthevar Rajasekaran
Research Type: Other Scholarly Work

Computational Advances in Bio and Medical Sciences - 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15-17, 2019, Revised Selected Papers
2020
Sanguthevar Rajasekaran, Pavel Skums, Giri Narasimhan, Ion I Mandoiu, Alexander Zelikovsky, T.M. Murali
Research Type: Other Scholarly Work

Some Fundamental Problems in Data Science
2020
Sanguthevar Rajasekaran
Research Type: Poster/Presentation

Special Issue: 9th International Computational Advances in Bio and Medical Sciences (ICCABS 2019).
2021
T M Murali, Ion I Mandoiu, G Narasimhan, Sanguthevar Rajasekaran, P Skums, A Zelikovsky
Research Type: Journal Article

Special Issue: 10th International Computational Advances in Bio and Medical Sciences (ICCABS 2020)
2021
S.K. Jha, Ion I Mandoiu, Alexander Zelikovsky, Sanguthevar Rajasekaran, Pavel Skums
Research Type: Journal Article

EMS3: An improved algorithm for finding edit-distance based motifs
2021
Xingyu Cai, Peng Xiao, Sanguthevar Rajasekaran
Research Type: Journal Article

Automatic subject-specific spatiotemporal feature selection for subject-independent affective BCI
2021
Chun-Hsi Huang, Sanguthevar Rajasekaran, Badr Almarri
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
Zigeng Wang, Darius Javidi, Naveed Hussain, Sanguthevar Rajasekaran
Research Type: Journal Article

A Novel Pathway Network Analytics Method Based on Graph Theory
2021
Sanguthevar Rajasekaran, Subrata Saha, Ahmed Soliman
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
Alexander Zelikovsky, Ion I Mandoiu, Pavel Skums, Sumit Kumar Jha, Sanguthevar Rajasekaran
Research Type: Other Scholarly Work

Computational Advances in Bio and Medical Sciences: 11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers
2022
Pavel Skums, Alexander Zelikovsky, Mukul Bansal, Marmar Moussa, Ion I Mandoiu, Murray Patterson, Sanguthevar Rajasekaran
Research Type: Book

FIRLA: a Fast Incremental Record Linkage Algorithm
2022
Ahmed Soliman, Sanguthevar Rajasekaran
Research Type: Journal Article

Predicting band gaps and band-edge positions of oxide perovskites using density functional theory and machine learning
2022
Xia Xiao, Wei Li, Bharat Medasani, Anderson Janotti, Zhiqiang Zhang, Sanguthevar Rajasekaran, Zigeng Wang
Research Type: Journal Article

Indoor radon exposure and its correlation with the radiometric map of uranium in Sweden
2022
Martin M√•nsson, Tryggve Rönnqvist, Alexander Balatsky, Sanguthevar Rajasekaran, Bart Olsthoorn, Cheuk Lau, Tomas Persson
Research Type: Journal Article

Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit
2023
Mohammed Albayati, Ravi Gorthala, Amy Thompson, Jalal Faraj, Prathamesh Patil, Sanguthevar Rajasekaran
Research Type: Journal Article

Online Evidential Nearest Neighbour Classification for Internet of Things Time Series
2023
Nathan Lally, Sanguthevar Rajasekaran, Patrick Toman, N Ravishanker
Research Type: Journal Article

Special Issue: 11th International Computational Advances in Bio and Medical Sciences (ICCABS 2021)
2023
Ion I Mandoiu, Marmar Moussa, Mukul Bansal, M. Patterson, Alexander Zelikovsky, Pavel Skums, Sanguthevar Rajasekaran
Research Type: Journal Article

A fast privacy-preserving patient record linkage of time series data
2023
Ahmed Soliman, Patrick Toman, N Ravishanker, Sanguthevar Rajasekaran
Research Type: Journal Article

KE: A Knowledge Enhancing Framework for Machine Learning Models
2023
Yijue Wang, Sanguthevar Rajasekaran, Ahmed Soliman, Dan Guo, Nidhibahen Shah
Research Type: Journal Article