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Sakshi Jain
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2020 – today
- 2024
- [j5]Sakshi Jain, Pradeep Kumar Roy:
E-commerce review sentiment score prediction considering misspelled words: a deep learning approach. Electron. Commer. Res. 24(3): 1737-1761 (2024) - [j4]Sakshi Jain, Pradeep Kumar Roy:
A study of learning models for COVID-19 disease prediction. J. Ambient Intell. Humaniz. Comput. 15(4): 2581-2600 (2024) - [c15]Sakshi Jain, Unmesh Khati, Vineet Kumar:
SAR Time-Series for Soybean Pod Formation Detection. IGARSS 2024: 4192-4195 - [i4]Saikrishna Badrinarayanan, Osonde Osoba, Miao Cheng, Ryan Rogers, Sakshi Jain, Rahul Tandra, Natesh S. Pillai:
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S. CoRR abs/2409.04652 (2024) - 2023
- [j3]Kumar Abhinav, Gurpriya Kaur Bhatia, Alpana Dubey, Sakshi Jain, Nitish Bhardwaj:
CrowdAssist: A multidimensional decision support system for crowd workers. J. Softw. Evol. Process. 35(6) (2023) - [c14]Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. FAccT 2023: 1213-1228 - [i3]Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. CoRR abs/2306.00025 (2023) - 2021
- [c13]Kumar Abhinav, Vijaya Sharvani, Alpana Dubey, Meenakshi D'Souza, Nitish Bhardwaj, Sakshi Jain, Veenu Arora:
RepairNet: Contextual Sequence-to-Sequence Network for Automated Program Repair. AIED (1) 2021: 3-15 - [c12]Divyansh Goel, Sakshi Jain, Dinesh Kumar Vishwakarma, Aryan Bansal:
Automatic Image Colorization using U-Net. ICCCNT 2021: 1-7 - 2020
- [c11]Kumar Abhinav, Gurpriya Kaur Bhatia, Alpana Dubey, Sakshi Jain, Nitish Bhardwaj:
TasRec: a framework for task recommendation in crowdsourcing. ICGSE 2020: 86-95 - [c10]Alpana Dubey, Kumar Abhinav, Sakshi Jain, Veenu Arora, Asha Puttaveerana:
HACO: A Framework for Developing Human-AI Teaming. ISEC 2020: 10:1-10:9 - [i2]Alpana Dubey, Nitish Bhardwaj, Kumar Abhinav, Mani Suma Kuriakose, Sakshi Jain, Veenu Arora:
AI Assisted Apparel Design. CoRR abs/2007.04950 (2020)
2010 – 2019
- 2019
- [c9]Kumar Abhinav, Alpana Dubey, Sakshi Jain, Veenu Arora, Asha Puttaveerana, Susan Miller:
AQuA: Automatic Quality Analysis of Conversational Scripts in Real-time. ICAISC (2) 2019: 489-500 - [c8]Vijaya Sharvani, Kumar Abhinav, Alpana Dubey, Sakshi Jain, Veenu Arora, Meenakshi D'Souza:
FrAppLe: A Framework for Apprenticeship Learning. ISEC 2019: 26:1-26:5 - 2018
- [c7]Kumar Abhinav, Alpana Dubey, Sakshi Jain, Gurpriya Kaur Bhatia, Blake McCartin, Nitish Bhardwaj:
CrowdAssistant: A Virtual Buddy for Crowd Worker. CSI-SE@ICSE 2018: 17-20 - 2017
- [c6]Kumar Abhinav, Alpana Dubey, Sakshi Jain, Gurdeep Virdi, Alex Kass, Manish Mehta:
CrowdAdvisor: A Framework for Freelancer Assessment in Online Marketplace. ICSE-SEIP 2017: 93-102 - [c5]Mario Frank, Tiffany Hwu, Sakshi Jain, Robert T. Knight, Ivan Martinovic, Prateek Mittal, Daniele Perito, Ivo Sluganovic, Dawn Song:
Using EEG-Based BCI Devices to Subliminally Probe for Private Information. WPES@CCS 2017: 133-136 - 2016
- [j2]Sakshi Jain, Mobin Javed, Vern Paxson:
Towards Mining Latent Client Identifiers from Network Traffic. Proc. Priv. Enhancing Technol. 2016(2): 100-114 (2016) - [c4]David Freeman, Sakshi Jain, Markus Dürmuth, Battista Biggio, Giorgio Giacinto:
Who Are You? A Statistical Approach to Measuring User Authenticity. NDSS 2016 - 2015
- [c3]Garvit Juniwal, Sakshi Jain, Alexandre Donzé, Sanjit A. Seshia:
Clustering-Based Active Learning for CPSGrader. L@S 2015: 399-403 - 2014
- [c2]Serge Egelman, Sakshi Jain, Rebecca S. Portnoff, Kerwell Liao, Sunny Consolvo, David A. Wagner:
Are You Ready to Lock? CCS 2014: 750-761 - 2013
- [j1]Deeksha Bhartiya, Koustav Pal, Sourav Ghosh, Shruti Kapoor, Saakshi Jalali, Bharat Panwar, Sakshi Jain, Satish Sati, Shantanu Sengupta, Chetana Sachidanandan, Gajendra Pal Singh Raghava, Sridhar Sivasubbu, Vinod Scaria:
lncRNome: a comprehensive knowledgebase of human long noncoding RNAs. Database J. Biol. Databases Curation 2013 (2013) - [c1]Cynthia Sturton, Rohit Sinha, Thurston H. Y. Dang, Sakshi Jain, Michael McCoyd, Wei Yang Tan, Petros Maniatis, Sanjit A. Seshia, David A. Wagner:
Symbolic software model validation. MEMOCODE 2013: 97-108 - [i1]Mario Frank, Tiffany Hwu, Sakshi Jain, Robert T. Knight, Ivan Martinovic, Prateek Mittal, Daniele Perito, Dawn Song:
Subliminal Probing for Private Information via EEG-Based BCI Devices. CoRR abs/1312.6052 (2013)
Coauthor Index
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last updated on 2024-10-17 20:32 CEST by the dblp team
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