Soumi Ray
Orcid: 0000-0002-3629-9329
According to our database1,
Soumi Ray
authored at least 15 papers
between 2010 and 2020.
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Bibliography
2020
Information count and distribution matrix: A contemporary approach for content-based brain image indexing.
Int. J. Imaging Syst. Technol., 2020
2019
Cranky comments: detecting clinical decision support malfunctions through free-text override reasons.
J. Am. Medical Informatics Assoc., 2019
2018
Using statistical anomaly detection models to find clinical decision support malfunctions.
J. Am. Medical Informatics Assoc., 2018
Intensity population based unsupervised hemorrhage segmentation from brain CT images.
Expert Syst. Appl., 2018
Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking.
CoRR, 2018
Proceedings of the Soft Computing for Problem Solving, 2018
Building a Knowledge Base that Maps Drugs to the Diseases they Treat Using Work2vec Models.
Proceedings of the AMIA 2018, 2018
Proceedings of the AMIA 2018, 2018
2017
Applying Bayesian Changepoint Model and Hierarchical Divisive Model for Detecting Anomalies in Clinical Decision Support Alert Firing.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Detecting Anomalies in Alert Firing within Clinical Decision Support Systems using Anomaly/Outlier Detection Techniques.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Detecting Anomalies in Alert Firing in Clinical Decision Support (CDS) Systems using Anomaly/Outlier Detection Techniques.
Proceedings of the AMIA 2016, 2016
2011
Discovering and Characterizing Hidden Variables Using a Novel Neural Network Architecture: LO-Net.
J. Robotics, 2011
Improving the Discovery and Characterization of Hidden Variables by Regularizing the LO-net.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
2010
Discovering and Characterizing Hidden Variables in Streaming Multivariate Time Series.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010