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Mayanka Chandrashekar
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2020 – today
- 2025
[j2]Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandrashekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis S. Humble, Georgia D. Tourassi:
Adiabatic quantum support vector machines. Quantum Mach. Intell. 7(1): 61 (2025)
[i3]Julia Ive, Paulina Bondaronek, Vishal Yadav
, Daniel Santel, Tracy A. Glauser, Tina Cheng, Jeffrey R. Strawn, Greeshma A. Agasthya, Jordan Tschida, Sanghyun Choo, Mayanka Chandrashekar, Anuj J. Kapadia
, John Pestian:
A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection. CoRR abs/2501.00129 (2025)- 2024
[i2]Mayanka Chandrashekar, Ian Goethert, Md Inzamam Ul Haque, Benjamin McMahon, Sayera Dhaubhadel, Kathryn Knight, Joseph Erdos, Donna Reagan, Caroline Taylor, Peter Kuzmak, John Michael Gaziano, Eileen McAllister, Lauren Costa, Yuk-Lam Ho, Kelly Cho, Suzanne Tamang, Samah Fodeh-Jarad, Olga S. Ovchinnikova, Amy C. Justice, Jacob D. Hinkle, Ioana Danciu:
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population. CoRR abs/2407.21149 (2024)- 2021
[j1]Mayanka Chandrashekar
, Yugyung Lee:
Class Representative Learning for Zero-shot Learning Using Purely Visual Data. SN Comput. Sci. 2(4): 313 (2021)- 2020
[c9]Vijaya Kumari Yeruva, Mayanka Chandrashekar, Yugyung Lee, Jeff Rydberg-Cox
, Virginia Blanton, Nathan A. Oyler:
Interpretation of Sentiment Analysis with Human-in-the-Loop. IEEE BigData 2020: 3099-3108
[i1]Mayanka Chandrashekar, Yugyung Lee:
CRL: Class Representative Learning for Image Classification. CoRR abs/2002.06619 (2020)
2010 – 2019
- 2019
[c8]Mayanka Chandrashekar, Joseph A. Cottam:
Graph Generation with a Focusing Lexicon. IEEE BigData 2019: 4928-4931- 2018
[c7]Mayanka Chandrashekar, Yugyung Lee:
MCDD: Multi-class Distribution Model for Large Scale Classification. IEEE BigData 2018: 4906-4914
[c6]Rohithkumar Nagulapati, Mayanka Chandrashekar, Yugyung Lee:
Transformation from Publications to Diabetes Ontology using Topic-based Assertion Discovery. ICHI Workshops 2018: 9-18
[c5]Mayanka Chandrashekar, Rohithkumar Nagulapati, Yugyung Lee:
Ontology Mapping Framework with Feature Extraction and Semantic Embeddings. ICHI Workshops 2018: 34-42- 2017
[c4]Megha Nagabhushan, Rohithkumar Nagulapati, Mayanka Chandrashekar, Yugyung Lee:
Constructing dynamic ontologies from biomedical publications. BIBM 2017: 581-584- 2016
[c3]Mayanka Chandrashekar, Yugyung Lee:
Visual Context Learning with Big Data Analytics. ICDM Workshops 2016: 600-607- 2015
[c2]Shuai Zhao, Mayanka Chandrashekar, Yugyung Lee, Deep Medhi:
Real-time network anomaly detection system using machine learning. DRCN 2015: 267-270
[c1]Prakash Vaka, Feichen Shen, Mayanka Chandrashekar, Yugyung Lee:
PEMAR: A pervasive middleware for activity recognition with smart phones. PerCom Workshops 2015: 409-414
Coauthor Index

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last updated on 2025-11-22 04:49 CET by the dblp team
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