Mehdi Naseriparsa

Orcid: 0000-0001-9230-1625

According to our database1, Mehdi Naseriparsa authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Knowledge Graphs: Opportunities and Challenges.
Artif. Intell. Rev., November, 2023

Exploring Public Sentiment During COVID-19: A Cross Country Analysis.
IEEE Trans. Comput. Soc. Syst., 2023

2022
Graph Learning for Fake Review Detection.
Frontiers Artif. Intell., 2022

MET-Meme: A Multimodal Meme Dataset Rich in Metaphors.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Abnormal Entity-Aware Knowledge Graph Completion.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Predicting Mental Health Problems with Personality, Behavior, and Social Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
RSMOTE: improving classification performance over imbalanced medical datasets.
Health Inf. Sci. Syst., 2020

2019
XPloreRank: exploring XML data via you may also like queries.
World Wide Web, 2019

An effective density-based clustering and dynamic maintenance framework for evolving medical data streams.
Int. J. Medical Informatics, 2019

XSnippets: Exploring semi-structured data via snippets.
Data Knowl. Eng., 2019

2018
No-but-semantic-match: computing semantically matched xml keyword search results.
World Wide Web, 2018

A Framework for Processing Cumulative Frequency Queries over Medical Data Streams.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

2017
A Framework for Clustering and Dynamic Maintenance of XML Documents.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2014
Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset.
CoRR, 2014

A Hybrid Feature Selection Method to Improve Performance of a Group of Classification Algorithms.
CoRR, 2014

Improving Performance of a Group of Classification Algorithms Using Resampling and Feature Selection.
CoRR, 2014


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