Somya D. Mohanty

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 18

Top Topics

Scientific Literature

Machine Learning

Natural Disasters

Top Venues

Publications

Pratik Devkota, Somya D. Mohanty, Prashanti Manda
Ontology-Powered Boosting for Improved Recognition of Ontology Concepts from Biological Literature. BIOINFORMATICS (2023)
Pratik Devkota, Somya D. Mohanty, Prashanti Manda
Using Ontology Embeddings With Deep Learning Architectures to Improve Prediction of Ontology Concepts From Literature. ICBO (2023)
Pratik Devkota, Somya D. Mohanty, Prashanti Manda
A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature. BioData Min. 15 (1) (2022)
Somya D. Mohanty, Deborah Lekan, Thomas P. McCoy, Marjorie Jenkins, Prashanti Manda
Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare. Patterns 3 (1) (2022)
Franklin Wei, Stephen Tate, Mahalingam Ramkumar, Somya D. Mohanty
A Scalable Trustworthy Infrastructure for Collaborative Container Repositories. Distributed Ledger Technol. Res. Pract. 1 (1) (2022)
Somya D. Mohanty, Brown Biggers, Saed SayedAhmed, Nastaran Pourebrahim, Evan B. Goldstein, Rick Bunch, Guangqing Chi, Fereidoon Sadri, Tom P. McCoy, Arthur Cosby
A multi-modal approach towards mining social media data during natural disasters - a case study of Hurricane Irma. CoRR (2021)
Matthew Moretz, Daniel Foster, John Weber, Rinty Chowdhury, Shah Rafique, Evan B. Goldstein, Somya D. Mohanty
psi-collect: A Python module for post-storm image collection and cataloging. J. Open Source Softw. 5 (47) (2020)
Prashanti Manda, Saed SayedAhmed, Somya D. Mohanty
Automated ontology-based annotation of scientific literature using deep learning. SBD@SIGMOD (2020)
Somya D. Mohanty, Thomas P. McCoy, Prashanti Manda, Deborah Lekan, Marjorie Jenkins
A multi-modal machine learning approach towards predicting patient readmission. BIBM (2020)
An Dinh, Stacey Miertschin, Amber Young, Somya D. Mohanty
A data-driven approach to predicting diabetes and cardiovascular disease with machine learning. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Logan Rohde, Somya D. Mohanty, Jing Deng, Fereidoon Sadri
The Propagation of Counteracting Information in Online Social Networks: A Case Study. ICDM Workshops (2018)
Bin Luo, Qi Zhang, Somya D. Mohanty
Data-Driven Exploration of Factors Affecting Federal Student Loan Repayment. CoRR (2018)
Prashanti Manda, Lucas Beasley, Somya D. Mohanty
Taking a Dive: Experiments in Deep Learning for Automatic Ontology-Based Annotation of Scientific Literature. ICBO (2018)
Nastaran Pourebrahim, Selima Sultana, Jean-Claude Thill, Somya D. Mohanty
Enhancing Trip Distribution Prediction with Twitter Data: Comparison of Neural Network and Gravity Models. GeoAI@SIGSPATIAL (2018)
David Santana, Shan Suthaharan, Somya D. Mohanty
What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks. CoRR (2018)
Franklin Wei, Mahalingam Ramkumar, Somya D. Mohanty
A Scalable, Trustworthy Infrastructure for Collaborative Container Repositories. CoRR (2018)
Alexander Hahn, Somya D. Mohanty, Prashanti Manda
What's Hot and What's Not? - Exploring Trends in Bioinformatics Literature Using Topic Modeling and Keyword Analysis. ISBRA (2017)
Staci M. Zavattaro, P. Edward French, Somya D. Mohanty
A sentiment analysis of U.S. local government tweets: The connection between tone and citizen involvement. Gov. Inf. Q. 32 (3) (2015)
Mahalingam Ramkumar, Somya D. Mohanty
A Trustworthy Assurance-as-a-Service Architecture. ICS (2014)
Somya D. Mohanty, Arun Velagapalli, Mahalingam Ramkumar
An Efficient TCB for a Generic Content Distribution System. CyberC (2012)
Somya D. Mohanty, Mahalingam Ramkumar
Securing File Storage in an Untrusted Server - Using a Minimal Trusted Computing Base. CLOSER (2011)