Mayanka Chandrashekar

14 papers Journal 5Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection. CoRR 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
2025	J	`jnl`	Adiabatic quantum support vector machines. Quantum Mach. Intell. 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
2024	J	`jnl`	Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population. CoRR 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
2021	J	`jnl`	Class Representative Learning for Zero-shot Learning Using Purely Visual Data. SN Comput. Sci. Mayanka Chandrashekar, Yugyung Lee
2020	J	`jnl`	CRL: Class Representative Learning for Image Classification. CoRR Mayanka Chandrashekar, Yugyung Lee
2020	—	`conf`	Interpretation of Sentiment Analysis with Human-in-the-Loop. IEEE BigData Vijaya Kumari Yeruva, Mayanka Chandrashekar, Yugyung Lee, Jeff Rydberg-Cox, Virginia Blanton, Nathan A. Oyler
2019	—	`conf`	Graph Generation with a Focusing Lexicon. IEEE BigData Mayanka Chandrashekar, Joseph A. Cottam
2018	—	`conf`	MCDD: Multi-class Distribution Model for Large Scale Classification. IEEE BigData Mayanka Chandrashekar, Yugyung Lee
2018	—	`conf`	Ontology Mapping Framework with Feature Extraction and Semantic Embeddings. ICHI Workshops Mayanka Chandrashekar, Rohithkumar Nagulapati, Yugyung Lee
2018	—	`conf`	Transformation from Publications to Diabetes Ontology using Topic-based Assertion Discovery. ICHI Workshops Rohithkumar Nagulapati, Mayanka Chandrashekar, Yugyung Lee
2017	—	`conf`	Constructing dynamic ontologies from biomedical publications. BIBM Megha Nagabhushan, Rohithkumar Nagulapati, Mayanka Chandrashekar, Yugyung Lee
2016	—	`conf`	Visual Context Learning with Big Data Analytics. ICDM Workshops Mayanka Chandrashekar, Yugyung Lee
2015	—	`conf`	PEMAR: A pervasive middleware for activity recognition with smart phones. PerCom Workshops Prakash Vaka, Feichen Shen, Mayanka Chandrashekar, Yugyung Lee
2015	—	`conf`	Real-time network anomaly detection system using machine learning. DRCN Shuai Zhao, Mayanka Chandrashekar, Yugyung Lee, Deep Medhi