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Mayanka Chandrashekar
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Real-time network anomaly detection system using machine learning
S Zhao, M Chandrashekar, Y Lee, D Medhi
2015 11th international conference on the design of reliable communication …, 2015
912015
PEMAR: A pervasive middleware for activity recognition with smart phones
P Vaka, F Shen, M Chandrashekar, Y Lee
2015 IEEE International Conference on Pervasive Computing and Communication …, 2015
232015
Language models for the prediction of SARS-CoV-2 inhibitors
AE Blanchard, J Gounley, D Bhowmik, M Chandra Shekar, I Lyngaas, ...
The International Journal of High Performance Computing Applications 36 (5-6 …, 2022
222022
Automating genetic algorithm mutations for molecules using a masked language model
AE Blanchard, MC Shekar, S Gao, J Gounley, I Lyngaas, J Glaser, ...
IEEE Transactions on Evolutionary Computation 26 (4), 793-799, 2022
152022
Integration of domain knowledge using medical knowledge graph deep learning for cancer phenotyping
M Alawad, S Gao, MC Shekar, SM Hasan, JB Christian, XC Wu, ...
arXiv preprint arXiv:2101.01337, 2021
132021
Interpretation of sentiment analysis in aeschylus’s Greek tragedy
VK Yeruva, M Chandrashekar, Y Lee, J Rydberg-Cox, V Blanton, ...
Proceedings of the The 4th Joint SIGHUM Workshop on Computational …, 2020
92020
Ontology mapping framework with feature extraction and semantic embeddings
M Chandrashekar, R Nagulapati, Y Lee
2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI …, 2018
72018
Class representative learning for zero-shot learning using purely visual data
M Chandrashekar, Y Lee
SN Computer Science 2 (4), 313, 2021
6*2021
Interpretation of sentiment analysis with human-in-the-loop
VK Yeruva, M Chandrashekar, Y Lee, J Rydberg-Cox, V Blanton, ...
2020 IEEE International Conference on Big Data (Big Data), 3099-3108, 2020
62020
Constructing dynamic ontologies from biomedical publications
M Nagabhushan, R Nagulapati, M Chandrashekar, Y Lee
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
42017
MCDD: Multi-class Distribution Model for Large Scale Classification
M Chandrashekar, Y Lee
2018 IEEE International Conference on Big Data (Big Data), 4906-4914, 2018
3*2018
In with the old, in with the new: machine learning for time to event biomedical research
I Danciu, G Agasthya, JP Tate, M Chandra-Shekar, I Goethert, ...
Journal of the American Medical Informatics Association 29 (10), 1737-1743, 2022
22022
Graph generation with a focusing lexicon
MC Shekar, JA Cottam
2019 IEEE International Conference on Big Data (Big Data), 4928-4931, 2019
22019
Transformation from Publications to Diabetes Ontology using Topic-based Assertion Discovery
R Nagulapati, M Chandrashekar, Y Lee
2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI …, 2018
22018
Visual context learning with big data analytics
M Chandrashekar, Y Lee
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
22016
Path-BigBird: An AI-Driven Transformer Approach to Classification of Cancer Pathology Reports
M Chandrashekar, I Lyngaas, HA Hanson, S Gao, XC Wu, J Gounley
JCO Clinical Cancer Informatics 8, e2300148, 2024
2024
Ultra-Long Sequence Distributed Transformer
X Wang, I Lyngaas, A Tsaris, P Chen, S Dash, MC Shekar, T Luo, ...
arXiv preprint arXiv:2311.02382, 2023
2023
Characterizing Quantum Classifier Utility in Natural Language Processing Workflows
K Hamilton, MC Shekar, J Gounley, D Bharadwaj, P Date, EAC Pérez, ...
2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023
2023
FrESCO
A Spannaus, J Gounley, M Chandra Shekar, ZR Fox, J Mohd-Yusof, ...
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States …, 2023
2023
In with the old, in with the new: machine learning for time to event biomedical research (vol 29, pg 1737, 2022)
I Danciu, G Agasthya, JP Tate, M Chandra-Shekar, I Goethert, ...
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION 30 (3), 626-626, 2023
2023
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