Santosh Tirunagari
Orcid: 0000-0002-9064-1965
According to our database1,
Santosh Tirunagari
authored at least 32 papers
between 2011 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, May, 2025
2024
2023
Comput. Biol. Medicine, November, 2023
Nucleic Acids Res., January, 2023
CoLocateMe: Aggregation-Based, Energy, Performance and Cost Aware VM Placement and Consolidation in Heterogeneous IaaS Clouds.
IEEE Trans. Serv. Comput., 2023
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023
Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data Using Machine Learning.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023
2021
2019
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images.
CoRR, 2019
2017
PhD thesis, 2017
Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition.
Mach. Vis. Appl., 2017
Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR.
J. Biomed. Informatics, 2017
One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
Using Benford's law to detect anomalies in electroencephalogram: An application to detecting alzheimer's disease.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017
2016
"Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law.
CoRR, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Visualisation of survey responses using self-organising maps: A case study on diabetes self-care factors.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Local binary patterns as a feature descriptor in alignment-free visualisation of metagenomic data.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Automatic classification of irregularly sampled time series with unequal lengths: A case study on estimated glomerular filtration rate.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
2015
IEEE Trans. Inf. Forensics Secur., 2015
Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses.
CoRR, 2015
Data Mining of Causal Relations from Text: Analysing Maritime Accident Investigation Reports.
CoRR, 2015
Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics.
Proceedings of the 2015 IEEE International Workshop on Information Forensics and Security, 2015
Proceedings of the 3rd International Workshop on Biometrics and Forensics, 2015
Proceedings of the International Conference on Biometrics, 2015
2014
Patient level analytics using self-organising maps: A case study on Type-1 Diabetes self-care survey responses.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Challenges in designing an online healthcare platform for personalised patient analytics.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014
2011
Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering.
Proceedings of the Neural Information Processing - 18th International Conference, 2011