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Mohammad Hossein Namaki
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2020 – today
- 2024
- [j3]Arman Ahmed, Sagnik Basumallik, Amir Gholami, Sajan K. Sadanandan, Mohammad Hossein Namaki, Anurag K. Srivastava, Yinghui Wu:
Spatio-Temporal Deep Graph Network for Event Detection, Localization, and Classification in Cyber-Physical Electric Distribution System. IEEE Trans. Ind. Informatics 20(2): 2397-2407 (2024) - 2023
- [c16]Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu:
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. SIGMOD Conference Companion 2023: 123-126 - 2022
- [j2]Qi Song, Mohammad Hossein Namaki, Peng Lin, Yinghui Wu:
Answering Why-Questions for Subgraph Queries. IEEE Trans. Knowl. Data Eng. 34(10): 4636-4649 (2022) - 2020
- [c15]Mohammad Hossein Namaki, Xin Zhang, Sukhjinder Singh, Arman Ahmed, Armina Foroutan, Yinghui Wu, Anurag K. Srivastava, Anton Kocheturov:
Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams. ICDE 2020: 1766-1769 - [c14]Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer:
Vamsa: Automated Provenance Tracking in Data Science Scripts. KDD 2020: 1542-1551 - [i2]Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu:
Vamsa: Tracking Provenance in Data Science Scripts. CoRR abs/2001.01861 (2020)
2010 – 2019
- 2019
- [c13]Qi Song, Mohammad Hossein Namaki, Yinghui Wu:
Answering Why-Questions for Subgraph Queries in Multi-attributed Graphs. ICDE 2019: 40-51 - [c12]Mohammad Hossein Namaki, Qi Song, Yinghui Wu, Shengqi Yang:
Answering Why-questions by Exemplars in Attributed Graphs. SIGMOD Conference 2019: 1481-1498 - [c11]Mohammad Hossein Namaki, Qi Song, Yinghui Wu:
NAVIGATE: Explainable Visual Graph Exploration by Examples. SIGMOD Conference 2019: 1965-1968 - 2018
- [c10]Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang:
Diversified Keyword Expansion on Multi-labeled Graphs. APWeb/WAIM (1) 2018: 219-235 - [c9]Keyvan Sasani, Mohammad Hossein Namaki, Yinghui Wu, Assefaw Hadish Gebremedhin:
Multi-metric Graph Query Performance Prediction. DASFAA (1) 2018: 289-306 - [c8]Keyvan Sasani, Mohammad Hossein Namaki, Assefaw Hadish Gebremedhin:
Network Similarity Prediction in Time-Evolving Graphs: A Machine Learning Approach. IPDPS Workshops 2018: 1184-1193 - [c7]Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang:
GExp: Cost-aware Graph Exploration with Keywords. SIGMOD Conference 2018: 1729-1732 - [i1]Mohammad Hossein Namaki, F. A. Rezaur Rahman Chowdhury, Md. Rakibul Islam, Janardhan Rao Doppa, Yinghui Wu:
Learning to Speed Up Query Planning in Graph Databases. CoRR abs/1801.06766 (2018) - 2017
- [c6]F. A. Rezaur Rahman Chowdhury, Chao Ma, Md. Rakibul Islam, Mohammad Hossein Namaki, Mohammad Omar Faruk, Janardhan Rao Doppa:
Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search. ACML 2017: 129-144 - [c5]Mohammad Hossein Namaki, F. A. Rezaur Rahman Chowdhury, Md. Rakibul Islam, Janardhan Rao Doppa, Yinghui Wu:
Learning to Speed Up Query Planning in Graph Databases. ICAPS 2017: 443-451 - [c4]Mohammad Hossein Namaki, Peng Lin, Yinghui Wu:
Event pattern discovery by keywords in graph streams. IEEE BigData 2017: 982-987 - [c3]Mohammad Hossein Namaki, Yinghui Wu, Qi Song, Peng Lin, Tingjian Ge:
Discovering Graph Temporal Association Rules. CIKM 2017: 1697-1706 - [c2]Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Tingjian Ge:
BEAMS: Bounded Event Detection in Graph Streams. ICDE 2017: 1387-1388 - [c1]Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Assefaw Hadish Gebremedhin:
Performance Prediction for Graph Queries. NDA@SIGMOD 2017: 4:1-4:9 - 2013
- [j1]Mohammad Mahdavi Mazdeh, Mohammad Rostami, Mohammad Hossein Namaki:
Minimizing maximum tardiness and delivery costs in a batched delivery system. Comput. Ind. Eng. 66(4): 675-682 (2013)
Coauthor Index
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last updated on 2024-07-10 20:41 CEST by the dblp team
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