Features with Feelings - Incorporating User Preferences in Video Categorization. - Ramya Srinivasan 002; Amit K. Roy-Chowdhury (ACCV (3), 2012)

Video classification based on social attitudes. - Ramya Srinivasan 002; Amit K. Roy-Chowdhury (ICIP, 2012)

Quantitative modeling of artist styles in Renaissance face portraiture. - Ramya Srinivasan 002; Amit K. Roy-Chowdhury; Conrad Rudolph; Jeanette Kohl (HIP@ICDAR, 2013)

Recognizing the royals: leveraging computerized face recognition for identifying subjects in ancient artworks. - Ramya Srinivasan 002; Amit K. Roy-Chowdhury; Conrad Rudolph; Jeanette Kohl (ACM Multimedia, 2013)

Face recognition based on SIGMA sets of image features. - Ramya Srinivasan 002; Abhishek Nagar; Anshuman Tewari; Donato Mitrani; Amit K. Roy-Chowdhury (ICASSP, 2014)

Discovery of Sparse Contextual Relationships for Activity Recognition in Continuous Videos. - Nandita M. Nayak; Ramya Srinivasan 002; Amit K. Roy-Chowdhury (ICVGIP, 2014)

Robust face recognition based on saliency maps of sigma sets. - Ramya Srinivasan 002; Amit K. Roy-Chowdhury (BTAS, 2015)

Computerized Face Recognition in Renaissance Portrait Art: A quantitative measure for identifying uncertain subjects in ancient portraits. - Ramya Srinivasan 002; Conrad Rudolph; Amit K. Roy-Chowdhury (IEEE Signal Process. Mag., 2015)

Investigating the Role of Saliency for Face Recognition. - Ramya Srinivasan 002 (2015)

ONE - A Personalized Wellness System. - Ajay Chander; Ramya Srinivasan 002 (ECAI, 2016)

Last mile end-user programmers: programming exposure, influences, and preferences of the masses. - Ramya M. Srinivasan; Jorjeta G. Jetcheva; Ajay Chander (ICSE (Companion Volume), 2017)

Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions. - Ramya Srinivasan 002; Ajay Chander; Cathrine L. Dam (IHCI, 2017)

Evaluating Explanations by Cognitive Value. - Ajay Chander; Ramya Srinivasan 002 (CD-MAKE, 2018)

Working with Beliefs: AI Transparency in the Enterprise. - Ajay Chander; Ramya Srinivasan 002; Suhas Chelian; Jun Wang 018; Kanji Uchino (IUI Workshops, 2018)

Understanding Bias in Datasets using Topological Data Analysis. - Ramya Srinivasan 002; Ajay Chander (AISafety@IJCAI, 2019)

Creation of User Friendly Datasets: Insights from a Case Study concerning Explanations of Loan Denials. - Ajay Chander; Ramya Srinivasan 002 (CoRR, 2019)

Crowdsourcing in the Absence of Ground Truth - A Case Study. - Ramya Srinivasan 002; Ajay Chander (CoRR, 2019)

Generating User-friendly Explanations for Loan Denials using GANs. - Ramya Srinivasan 002; Ajay Chander; Pouya Pezeshkpour (CoRR, 2019)

Explanation Perspectives from the Cognitive Sciences - A Survey. - Ramya Srinivasan 002; Ajay Chander (IJCAI, 2020)

Biases in Generative Art: A Causal Look from the Lens of Art History. - Ramya Srinivasan 002; Kanji Uchino (FAccT, 2021)

Artsheets for Art Datasets. - Ramya Srinivasan 002; Emily Denton; Jordan Famularo; Negar Rostamzadeh; Fernando Diaz 001; Beth Coleman (NeurIPS Datasets and Benchmarks, 2021)

Quantifying Confounding Bias in AI Generated Art: A Case Study. - Ramya Srinivasan 002; Kanji Uchino (SMC, 2021)

Biases in AI systems. - Ramya Srinivasan 002; Ajay Chander (Commun. ACM, 2021)

Quantifying Confounding Bias in Generative Art: A Case Study. - Ramya Srinivasan 002; Kanji Uchino (CoRR, 2021)

Building Bridges: Generative Artworks to Explore AI Ethics. - Ramya Srinivasan 002; Devi Parikh (CoRR, 2021)

Biases in AI Systems: A survey for practitioners. - Ramya Srinivasan 002; Ajay Chander (ACM Queue, 2021)

Looking at Creative ML Blindspots with a Sociological Lens. - Katharina Burgdorf; Negar Rostamzadeh; Ramya Srinivasan 002; Jennifer Lena (CoRR, 2022)

Leveraging Cognitive Science for Testing Large Language Models. - Ramya Srinivasan 002; Hiroya Inakoshi; Kanji Uchino (AITest, 2023)

Broadening AI Ethics Narratives: An Indic Art View. - Ajay Divakaran; Aparna Sridhar; Ramya Srinivasan 002 (FAccT, 2023)

Interpretable Checklist for Delirium Detection. - Joel Forman; Ramya Srinivasan 002; Kanji Uchino; Gen Shinozaki (COMPASS, 2024)

To See or Not to See: Understanding the Tensions of Algorithmic Curation for Visual Arts. - Ramya Srinivasan 002 (FAccT, 2024)

Mutual Information-Based Fair Active Learning. - Ryosuke Sonoda; Ramya Srinivasan 002 (ICASSP, 2024)

LLM Diagnostic Toolkit: Evaluating LLMs for Ethical Issues. - Mehdi Bahrami; Ryosuke Sonoda; Ramya Srinivasan 002 (IJCNN, 2024)

A Statistical Analysis of LLMs' Self-Evaluation Using Proverbs. - Ryosuke Sonoda; Ramya Srinivasan 002 (CoRR, 2024)

Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. - Renee Shelby; Ramya Srinivasan 002; Katharina Burgdorf; Jennifer Lena; Negar Rostamzadeh (Proc. ACM Hum. Comput. Interact., 2024)

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art. - Alayt Issak; Uttkarsh Narayan; Ramya Srinivasan 002; Erica Kleinman; Casper Harteveld (Creativity & Cognition, 2025)

Misinformation and Disinformation in Generative AI - A Survey. - Ramya Srinivasan 002 (PAKDD (4), 2025)