Mayanka Chandra Shekar

According to our database, Mayanka Chandra Shekar authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adiabatic Quantum Support Vector Machines.

Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandra Shekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis S. Humble, Georgia D. Tourassi

CoRR, 2024

2023

FrESCO: Framework for Exploring Scalable Computational Oncology.

Adam Spannaus, John Gounley, Mayanka Chandra Shekar, Zachary R. Fox, Jamaludin Mohd-Yusof, Noah Schaefferkoetter, Heidi A. Hanson

J. Open Source Softw., October, 2023

Ultra-Long Sequence Distributed Transformer.

Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley

CoRR, 2023

Characterizing Quantum Classifier Utility in Natural Language Processing Workflows.

Kathleen E. Hamilton, Mayanka Chandra Shekar, John Gounley, Dhanvi Bharadwaj, Prasanna Date, Eduardo Antonio Coello Pérez, In-Saeng Suh, Georgia D. Tourassi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model.

Andrew E. Blanchard, Mayanka Chandra Shekar, Shang Gao, John Gounley, Isaac Lyngaas, Jens Glaser, Debsindhu Bhowmik

IEEE Trans. Evol. Comput., 2022

In with the old, in with the new: machine learning for time to event biomedical research.

Ioana Danciu, Greeshma A. Agasthya, Janet P. Tate, Mayanka Chandra Shekar, Ian Goethert, Olga Ovchinnikova, Benjamin H. McMahon, Amy C. Justice

J. Am. Medical Informatics Assoc., 2022

Language models for the prediction of SARS-CoV-2 inhibitors.

Andrew E. Blanchard, John Gounley, Debsindhu Bhowmik, Mayanka Chandra Shekar, Isaac Lyngaas, Shang Gao, Junqi Yin, Aristeidis Tsaris, Feiyi Wang, Jens Glaser

Int. J. High Perform. Comput. Appl., 2022

2021

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping.

Mohammed M. Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

CoRR, 2021