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Ramya Srinivasan 0002
Person information
- affiliation: Fujitsu Laboratories of America, Sunnyvale, CA, USA
- affiliation (PhD 2015): University of California, Riverside, USA
Other persons with the same name
- Ramya Srinivasan 0001 — Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2024
- [j4]Renee Shelby
, Ramya Srinivasan
Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-30 (2024) - [c23]Joel Forman
Interpretable Checklist for Delirium Detection. COMPASS 2024: 186-192 - [c22]Ramya Srinivasan
To See or Not to See: Understanding the Tensions of Algorithmic Curation for Visual Arts. FAccT 2024: 444-455 - [c21]Ryosuke Sonoda
Mutual Information-Based Fair Active Learning. ICASSP 2024: 4965-4969 - [c20]Mehdi Bahrami, Ryosuke Sonoda, Ramya Srinivasan:
LLM Diagnostic Toolkit: Evaluating LLMs for Ethical Issues. IJCNN 2024: 1-8 - 2023
- [c19]Ramya Srinivasan, Hiroya Inakoshi, Kanji Uchino:
Leveraging Cognitive Science for Testing Large Language Models. AITest 2023: 169-171 - [c18]Ajay Divakaran
Broadening AI Ethics Narratives: An Indic Art View. FAccT 2023: 2-11 - 2022
- [i8]Ajay Divakaran, Aparna Sridhar, Ramya Srinivasan:
Broadening AI Ethics Narratives: An Indic Art View. CoRR abs/2204.03789 (2022) - [i7]Katharina Burgdorf, Negar Rostamzadeh, Ramya Srinivasan, Jennifer Lena:
Looking at Creative ML Blindspots with a Sociological Lens. CoRR abs/2205.13683 (2022) - 2021
- [j3]Ramya Srinivasan, Ajay Chander:
Biases in AI systems. Commun. ACM 64(8): 44-49 (2021) - [j2]Ramya Srinivasan, Ajay Chander:
Biases in AI Systems: A survey for practitioners. ACM Queue 19(2): 45-64 (2021) - [c17]Ramya Srinivasan, Kanji Uchino:
Biases in Generative Art: A Causal Look from the Lens of Art History. FAccT 2021: 41-51 - [c16]Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman:
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks 2021 - [c15]Ramya Srinivasan, Kanji Uchino:
Quantifying Confounding Bias in AI Generated Art: A Case Study. SMC 2021: 1775-1782 - [i6]Ramya Srinivasan, Kanji Uchino:
Quantifying Confounding Bias in Generative Art: A Case Study. CoRR abs/2102.11957 (2021) - [i5]Ramya Srinivasan, Devi Parikh:
Building Bridges: Generative Artworks to Explore AI Ethics. CoRR abs/2106.13901 (2021) - 2020
- [c14]Ramya Srinivasan, Ajay Chander:
Explanation Perspectives from the Cognitive Sciences - A Survey. IJCAI 2020: 4812-4818 - [i4]Ramya Srinivasan, Kanji Uchino:
Biases in Generative Art - A Causal Look from the Lens of Art History. CoRR abs/2010.13266 (2020)
2010 – 2019
- 2019
- [c13]Ramya Srinivasan, Ajay Chander:
Understanding Bias in Datasets using Topological Data Analysis. AISafety@IJCAI 2019 - [i3]Ajay Chander, Ramya Srinivasan:
Creation of User Friendly Datasets: Insights from a Case Study concerning Explanations of Loan Denials. CoRR abs/1906.04643 (2019) - [i2]Ramya Srinivasan, Ajay Chander:
Crowdsourcing in the Absence of Ground Truth - A Case Study. CoRR abs/1906.07254 (2019) - [i1]Ramya Srinivasan, Ajay Chander, Pouya Pezeshkpour:
Generating User-friendly Explanations for Loan Denials using GANs. CoRR abs/1906.10244 (2019) - 2018
- [c12]Ajay Chander, Ramya Srinivasan:
Evaluating Explanations by Cognitive Value. CD-MAKE 2018: 314-328 - [c11]Ajay Chander, Ramya Srinivasan, Suhas Chelian, Jun Wang, Kanji Uchino:
Working with Beliefs: AI Transparency in the Enterprise. IUI Workshops 2018 - 2017
- [c10]Ramya M. Srinivasan, Jorjeta G. Jetcheva, Ajay Chander:
Last mile end-user programmers: programming exposure, influences, and preferences of the masses. ICSE (Companion Volume) 2017: 262-264 - [c9]Ramya Srinivasan, Ajay Chander, Cathrine L. Dam:
Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions. IHCI 2017: 165-177 - 2016
- [c8]Ajay Chander, Ramya Srinivasan:
ONE - A Personalized Wellness System. ECAI 2016: 1775-1776 - 2015
- [b1]Ramya Srinivasan:
Investigating the Role of Saliency for Face Recognition. University of California, Riverside, USA, 2015 - [j1]Ramya Srinivasan, Conrad Rudolph, Amit K. Roy-Chowdhury:
Computerized Face Recognition in Renaissance Portrait Art: A quantitative measure for identifying uncertain subjects in ancient portraits. IEEE Signal Process. Mag. 32(4): 85-94 (2015) - [c7]Ramya Srinivasan, Amit K. Roy-Chowdhury:
Robust face recognition based on saliency maps of sigma sets. BTAS 2015: 1-6 - 2014
- [c6]Ramya Srinivasan, Abhishek Nagar, Anshuman Tewari, Donato Mitrani, Amit K. Roy-Chowdhury:
Face recognition based on SIGMA sets of image features. ICASSP 2014: 499-503 - [c5]Nandita M. Nayak, Ramya Srinivasan, Amit K. Roy-Chowdhury:
Discovery of Sparse Contextual Relationships for Activity Recognition in Continuous Videos. ICVGIP 2014: 12:1-12:8 - 2013
- [c4]Ramya Srinivasan, Amit K. Roy-Chowdhury, Conrad Rudolph, Jeanette Kohl:
Quantitative modeling of artist styles in Renaissance face portraiture. HIP@ICDAR 2013: 94-101 - [c3]Ramya Srinivasan, Amit K. Roy-Chowdhury, Conrad Rudolph, Jeanette Kohl:
Recognizing the royals: leveraging computerized face recognition for identifying subjects in ancient artworks. ACM Multimedia 2013: 581-584 - 2012
- [c2]Ramya Srinivasan, Amit K. Roy-Chowdhury:
Features with Feelings - Incorporating User Preferences in Video Categorization. ACCV (3) 2012: 560-571 - [c1]Ramya Srinivasan, Amit K. Roy-Chowdhury:
Video classification based on social attitudes. ICIP 2012: 2877-2880
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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