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Chaitanya Kulkarni
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2020 – today
- 2024
- [j3]Mayur Wankhade, Chaitanya Kulkarni, Annavarapu Chandra Sekhara Rao:
A survey on aspect base sentiment analysis methods and challenges. Appl. Soft Comput. 167: 112249 (2024) - [j2]Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma, Ismail Keshta, Mukesh Soni, Haewon Byeon:
Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer. BMC Medical Informatics Decis. Mak. 24(1): 92 (2024) - 2023
- [c6]Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash:
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace. WWW (Companion Volume) 2023: 331-335 - [i3]Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash:
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace. CoRR abs/2302.10527 (2023) - 2022
- [j1]Mayur Wankhade, Annavarapu Chandra Sekhara Rao, Chaitanya Kulkarni:
A survey on sentiment analysis methods, applications, and challenges. Artif. Intell. Rev. 55(7): 5731-5780 (2022) - [c5]Luoluo Liu, Dennis Swearingen, Eran Simhon, Chaitanya Kulkarni, David Noren, Ronny Mans:
Interpretable Identification of Comorbidities Associated with Recurrent ED and Inpatient Visits. EMBC 2022: 991-997 - 2021
- [c4]Chaitanya Kulkarni, Jany Chan, Eric Fosler-Lussier, Raghu Machiraju:
Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols. ACL/IJCNLP (1) 2021: 6737-6750 - [i2]Luoluo Liu, Eran Simhon, Chaitanya Kulkarni, Ronny Mans:
Min-similarity association rules for identifying past comorbidities of recurrent ED and inpatient patients. CoRR abs/2110.13769 (2021)
2010 – 2019
- 2018
- [c3]Arjun Pandya, Chaitanya Kulkarni, Kunal Mali, Jianwu Wang:
An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data. Bench 2018: 65-77 - [c2]Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju:
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols. NAACL-HLT (2) 2018: 97-106 - [c1]Arunima Srivastava, Chaitanya Kulkarni, Parag Mallick, Kun Huang, Raghu Machiraju:
Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles. PSB 2018: 377-388 - [i1]Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju:
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols. CoRR abs/1805.00195 (2018)
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