Somya D. Mohanty

Orcid: 0000-0002-4253-5201

According to our database1, Somya D. Mohanty authored at least 21 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Using Ontology Embeddings With Deep Learning Architectures to Improve Prediction of Ontology Concepts From Literature.
Proceedings of the International Conference on Biomedical Ontologies 2023 together with the Workshop on Ontologies for Infectious and Immune-Mediated Disease Data Science (OIIDDS 2023) and the FAIR Ontology Harmonization and TRUST Data Interoperability Workshop (FOHTI 2023), Brasília, Brazil, August 28, 2023

Ontology-Powered Boosting for Improved Recognition of Ontology Concepts from Biological Literature.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare.
Patterns, 2022

A Scalable Trustworthy Infrastructure for Collaborative Container Repositories.
Distributed Ledger Technol. Res. Pract., 2022

A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature.
BioData Min., 2022

2021
A multi-modal approach towards mining social media data during natural disasters - a case study of Hurricane Irma.
CoRR, 2021

2020
psi-collect: A Python module for post-storm image collection and cataloging.
J. Open Source Softw., 2020

Automated ontology-based annotation of scientific literature using deep learning.
Proceedings of The International Workshop on Semantic Big Data, 2020

A multi-modal machine learning approach towards predicting patient readmission.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
BMC Medical Informatics Decis. Mak., 2019

2018
A Scalable, Trustworthy Infrastructure for Collaborative Container Repositories.
CoRR, 2018

Data-Driven Exploration of Factors Affecting Federal Student Loan Repayment.
CoRR, 2018

What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks.
CoRR, 2018

The Propagation of Counteracting Information in Online Social Networks: A Case Study.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Taking a Dive: Experiments in Deep Learning for Automatic Ontology-Based Annotation of Scientific Literature.
Proceedings of the 9th International Conference on Biological Ontology (ICBO 2018), 2018

Enhancing Trip Distribution Prediction with Twitter Data: Comparison of Neural Network and Gravity Models.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2018

2017
What's Hot and What's Not? - Exploring Trends in Bioinformatics Literature Using Topic Modeling and Keyword Analysis.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2015
A sentiment analysis of U.S. local government tweets: The connection between tone and citizen involvement.
Gov. Inf. Q., 2015

2014
A Trustworthy Assurance-as-a-Service Architecture.
Proceedings of the Intelligent Systems and Applications, 2014

2012
An Efficient TCB for a Generic Content Distribution System.
Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012

2011
Securing File Storage in an Untrusted Server - Using a Minimal Trusted Computing Base.
Proceedings of the CLOSER 2011, 2011


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