Improving Performance of a Group of Classification Algorithms Using Resampling and Feature Selection. - Mehdi Naseriparsa; Amir-Massoud Bidgoli; Touraj Varaee (CoRR, 2014)

A Hybrid Feature Selection Method to Improve Performance of a Group of Classification Algorithms. - Mehdi Naseriparsa; Amir-Massoud Bidgoli; Touraj Varaee (CoRR, 2014)

Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset. - Mehdi Naseriparsa; Mohammad Mansour Riahi Kashani (CoRR, 2014)

A Framework for Clustering and Dynamic Maintenance of XML Documents. - Ahmed Al-Shammari; Chengfei Liu; Mehdi Naseriparsa; Bao Quoc Vo; Tarique Anwar; Rui Zhou 001 (ADMA, 2017)

A Framework for Processing Cumulative Frequency Queries over Medical Data Streams. - Ahmed Al-Shammari; Rui Zhou 001; Chengfei Liu; Mehdi Naseriparsa; Bao Quoc Vo (WISE (2), 2018)

No-but-semantic-match: computing semantically matched xml keyword search results. - Mehdi Naseriparsa; Md. Saiful Islam 003; Chengfei Liu; Irene Moser (World Wide Web, 2018)

XSnippets: Exploring semi-structured data via snippets. - Mehdi Naseriparsa; Md. Saiful Islam 003; Chengfei Liu; Lu Chen 008 (Data Knowl. Eng., 2019)

An effective density-based clustering and dynamic maintenance framework for evolving medical data streams. - Ahmed Al-Shammari; Rui Zhou 001; Mehdi Naseriparsa; Chengfei Liu (Int. J. Medical Informatics, 2019)

XPloreRank: exploring XML data via you may also like queries. - Mehdi Naseriparsa; Chengfei Liu; Md. Saiful Islam 003; Rui Zhou 001 (World Wide Web, 2019)

RSMOTE: improving classification performance over imbalanced medical datasets. - Mehdi Naseriparsa; Ahmed Al-Shammari; Ming Sheng; Yong Zhang 002; Rui Zhou 001 (Health Inf. Sci. Syst., 2020)

Predicting Mental Health Problems with Personality, Behavior, and Social Networks. - Dongyu Zhang 001; Teng Guo; Shiyu Han; Sadaf Vahabli; Mehdi Naseriparsa; Feng Xia 001 (IEEE BigData, 2021)

Abnormal Entity-Aware Knowledge Graph Completion. - Ke Sun 011; Shuo Yu 001; Ciyuan Peng; Xiang Li; Mehdi Naseriparsa; Feng Xia 001 (ICDM (Workshops), 2022)

MET-Meme: A Multimodal Meme Dataset Rich in Metaphors. - Bo Xu 009; Tingting Li; Junzhe Zheng; Mehdi Naseriparsa; Zhehuan Zhao; Hongfei Lin; Feng Xia 001 (SIGIR, 2022)

Graph Learning for Fake Review Detection. - Shuo Yu 001; Jing Ren 001; Shihao Li; Mehdi Naseriparsa; Feng Xia 001 (Frontiers Artif. Intell., 2022)

Exploring Public Sentiment During COVID-19: A Cross Country Analysis. - Shuo Yu 001; Sihan He; Zhen Cai; Ivan Lee 001; Mehdi Naseriparsa; Feng Xia 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Knowledge Graphs: Opportunities and Challenges. - Ciyuan Peng; Feng Xia 001; Mehdi Naseriparsa; Francesco Osborne (Artif. Intell. Rev., 2023)

Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling. - Bo Xu 009; Longjiao Li; Wei Luo 001; Mehdi Naseriparsa; Zhehuan Zhao; Hongfei Lin; Feng Xia 001 (LREC/COLING, 2024)

MTCEA: Guiding Multi-Modal Entity Alignment via Entity-Type Information. - Xiaoming Zhang; Ziyi Zheng; Huiyong Wang; Mehdi Naseriparsa (Int. J. Softw. Eng. Knowl. Eng., 2025)

MFIEA: entity alignment through multi-modal feature interaction and knowledge facts. - Xiaoming Zhang; Menglong Lv; Huiyong Wang; Mehdi Naseriparsa (J. Intell. Inf. Syst., 2025)

ED-Filter: dynamic feature filtering for eating disorder classification. - Mehdi Naseriparsa; Suku Sukunesan; Zhen Cai; Osama Alfarraj; Amr Tolba; Saba Fathi Rabooki; Feng Xia 001 (Artif. Intell. Rev., 2025)