- Published
- 2023-04-26
- Venue
- Expert Systems with Applications, vol. 227, pp. 120201
- Cited by
- 277
- Open access
- No free copy found
- DOI
- 10.1016/j.eswa.2023.120201
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Sun, Y., Li, J., Xu, Y., Zhang, T., & Wang, X. (2023). Deep learning versus conventional methods for missing data imputation: A review and comparative study. Expert Systems with Applications, 227, 120201. https://doi.org/10.1016/j.eswa.2023.120201
- MLA 9
Sun, Yige, et al. "Deep learning versus conventional methods for missing data imputation: A review and comparative study." Expert Systems with Applications, vol. 227, 2023, pp. 120201, https://doi.org/10.1016/j.eswa.2023.120201.
- Chicago
Sun, Yige, Jing Li, Yifan Xu, Tingting Zhang, and Xiaofeng Wang. "Deep learning versus conventional methods for missing data imputation: A review and comparative study." Expert Systems with Applications 227 (2023): 120201. https://doi.org/10.1016/j.eswa.2023.120201.
- GOST
Sun Y., Li J., Xu Y. [и др.] Deep learning versus conventional methods for missing data imputation: A review and comparative study // Expert Systems with Applications. — 2023. — Vol. 227. — P. 120201. — URL: https://doi.org/10.1016/j.eswa.2023.120201
- BibTeX
@article{sun2023deep, title = {{Deep learning versus conventional methods for missing data imputation: A review and comparative study}}, author = {Yige Sun and Jing Li and Yifan Xu and Tingting Zhang and Xiaofeng Wang}, journal = {Expert Systems with Applications}, year = {2023}, volume = {227}, pages = {120201}, doi = {10.1016/j.eswa.2023.120201}, url = {https://doi.org/10.1016/j.eswa.2023.120201} }- RIS
TY - JOUR AU - Sun, Yige AU - Li, Jing AU - Xu, Yifan AU - Zhang, Tingting AU - Wang, Xiaofeng TI - Deep learning versus conventional methods for missing data imputation: A review and comparative study JO - Expert Systems with Applications VL - 227 SP - 120201 PY - 2023 DA - 2023/04/26 DO - 10.1016/j.eswa.2023.120201 UR - https://doi.org/10.1016/j.eswa.2023.120201 ER -
Ask Claude about this paper
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
- “Summarize doi:10.1016/j.eswa.2023.120201 and list its main limitations.”
- “Find newer studies that test the same question, with free PDFs.”
- “Cite this and five related papers in APA for my literature review.”
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex. Find Research links only to legal copies.