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Journal Articles
- 2025
[j8]Jianming Zhu
, Ye Xing, Runzhi Li, Smita Ghosh, Priyanshi Garg, Weili Wu:
Efficient algorithm for stochastic rumor blocking problem in social networks during safety accident period. Theor. Comput. Sci. 1023: 114898 (2025)- 2024
- [j7]Keanelek Enns, Kazi Tabassum Ferdous, Sowmya Balasubramanian, Smita Ghosh, Venkatesh Srinivasan, Alex Thomo:
Are brain networks classifiable? Netw. Model. Anal. Health Informatics Bioinform. 13(1): 44 (2024) - 2021
- [j6]Qiufen Ni, Smita Ghosh, Chuanhe Huang, Weili Wu, Rong Jin:
Discount allocation for cost minimization in online social networks. J. Comb. Optim. 41(1): 213-233 (2021) - [j5]Jianming Zhu, Smita Ghosh, Weili Wu:
Robust rumor blocking problem with uncertain rumor sources in social networks. World Wide Web 24(1): 229-247 (2021) - 2019
- [j4]Jianming Zhu, Smita Ghosh, Junlei Zhu, Weili Wu:
Near-Optimal Convergent Approach for Composed Influence Maximization Problem in Social Networks. IEEE Access 7: 142488-142497 (2019) - [j3]Jianming Zhu, Shuyue Liu, Smita Ghosh:
Model and algorithm of routes planning for emergency relief distribution in disaster management with disaster information update. J. Comb. Optim. 38(1): 208-223 (2019) - [j2]Jianming Zhu, Smita Ghosh, Weili Wu:
Group Influence Maximization Problem in Social Networks. IEEE Trans. Comput. Soc. Syst. 6(6): 1156-1164 (2019) - [j1]Jianming Zhu, Junlei Zhu, Smita Ghosh, Weili Wu, Jing Yuan:
Social Influence Maximization in Hypergraph in Social Networks. IEEE Trans. Netw. Sci. Eng. 6(4): 801-811 (2019)
Conference and Workshop Papers
- 2024
- [c11]Priyojit Palit, Smita Ghosh:
An Algebraic Perspective on Tree Imbalance Metrics. AAIM (2) 2024: 243-253 - [c10]Smita Ghosh, Diptaraj Sen, Sneha Ghosh:
Enhancing Clickbait Detection with Cross-Modal Topic Modeling in Social Networks. ICICT 2024: 289-294 - 2023
- [c9]Jianming Zhu, Runzhi Li, Smita Ghosh, Weili Wu:
Stochastic Model for Rumor Blocking Problem in Social Networks Under Rumor Source Uncertainty. COCOON (2) 2023: 329-339 - [c8]Michael Nocerino, Smita Ghosh:
Maximizing Prediction Accuracy in Wildfire Severity: A Comprehensive Analysis of Machine Learning Models Using Environmental Features. GHTC 2023: 448-455 - 2022
- [c7]Smita Ghosh, Pramita Das, Sneha Ghosh, Diptaraj Sen:
Detection of Clickbait Content Spreaders on Online Social Networks. ICICT 2022: 23-28 - 2021
- [c6]Navid Shaghaghi, Andrés Mauricio Calle, Juan Manuel Zuluaga Fernandez, Mubashir Hussain, Yash Kamdar, Smita Ghosh:
Twitter Sentiment Analysis and Political Approval Ratings for Situational Awareness. CogSIMA 2021: 59-65 - [c5]Navid Shaghaghi, Smita Ghosh, Raghav Kapoor:
ClassRoute: An English to Punjabi Educational Video Translation Pipeline for Supporting Punjabi Mother-Tongue Education. GHTC 2021: 342-348 - [c4]Navid Shaghaghi, Smita Ghosh, Fatima Ali, Abdul Basit Ali:
An English to Urdu Educational Video Translation Pipeline to Reinforce Mother-Tongue Based Learning. SERVICES 2021: 61-74 - 2019
- [c3]Jianming Zhu, Smita Ghosh, Weili Wu, Chuangen Gao:
Profit Maximization Under Group Influence Model in Social Networks. CSoNet 2019: 108-119 - [c2]Chuangen Gao, Shuyang Gu, Ruiqi Yang, Hongwei Du, Smita Ghosh, Hua Wang:
Robust Profit Maximization with Double Sandwich Algorithms in Social Networks. ICDCS 2019: 1539-1548 - 2015
- [c1]Adrija Bhattacharya, Smita Ghosh, Debarun Das, Sankhayan Choudhury:
A New Service Discovery Approach for Community-Based Web. ACSS (1) 2015: 139-151
Editorship
- 2024
- [e2]Smita Ghosh, Zhao Zhang:
Algorithmic Aspects in Information and Management - 18th International Conference, AAIM 2024, Virtual Event, September 21-23, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15179, Springer 2024, ISBN 978-981-97-7797-6 [contents] - [e1]Smita Ghosh, Zhao Zhang:
Algorithmic Aspects in Information and Management - 18th International Conference, AAIM 2024, Virtual Event, September 21-23, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15180, Springer 2024, ISBN 978-981-97-7800-3 [contents]
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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