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Utkarshani Jaimini
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2020 – today
- 2024
- [j4]Utkarshani Jaimini
, Cory A. Henson
, Amit P. Sheth
:
Causal Neurosymbolic AI: A Synergy Between Causality and Neurosymbolic Methods. IEEE Intell. Syst. 39(3): 13-19 (2024) - [i4]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
CausalDisco: Causal discovery using knowledge graph link prediction. CoRR abs/2405.02327 (2024) - 2023
- [c5]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
An Ontology Design Pattern for Representing Causality. WOP@ISWC 2023: 31-42 - [c4]Valeria Fionda
, Olaf Hartig
, Reyhaneh Abdolazimi
, Sihem Amer-Yahia, Hongzhi Chen
, Xiao Chen
, Peng Cui, Jeffrey Dalton
, Xin Luna Dong
, Lisette Espín-Noboa
, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei
, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas
, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang
, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang
, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - 2022
- [j3]Utkarshani Jaimini, Amit P. Sheth
:
CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning. IEEE Internet Comput. 26(1): 43-50 (2022) - [j2]Utkarshani Jaimini, Tongtao Zhang, Georgia Olympia Brikis, Amit P. Sheth
:
iMetaverseKG: Industrial Metaverse Knowledge Graph to Promote Interoperability in Design and Engineering Applications. IEEE Internet Comput. 26(6): 59-67 (2022) - [c3]Utkarshani Jaimini, Tongtao Zhang, Georgia Olympia Brikis:
MetaverseKG: Knowledge Graph for Engineering and Design Application in Industrial Metaverse. ISWC (Posters/Demos/Industry) 2022 - [i3]Utkarshani Jaimini, Amit P. Sheth:
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning. CoRR abs/2201.03647 (2022)
2010 – 2019
- 2018
- [j1]Amit P. Sheth, Utkarshani Jaimini, Hong Yung Yip:
How Will the Internet of Things Enable Augmented Personalized Health? IEEE Intell. Syst. 33(1): 89-97 (2018) - [i2]Amit P. Sheth, Utkarshani Jaimini, Hong Yung Yip:
How will the Internet of Things enable Augmented Personalized Health? CoRR abs/1801.00356 (2018) - [i1]Revathy Venkataramanan, Dipesh Kadariya, Hong Yung Yip, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Amit P. Sheth:
Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application. CoRR abs/1811.10073 (2018) - 2017
- [c2]Amit P. Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee:
Augmented personalized health: How smart data with IoTs and AI is about to change healthcare. RTSI 2017: 1-6 - [c1]Utkarshani Jaimini:
PhD Forum: Multimodal IoT and EMR Based Smart Health Application for Asthma Management in Children. SMARTCOMP 2017: 1-2
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