has been cited by the following article(s):
[1]
|
Comparison of machine learning models to provide preliminary forecasts of real estate prices
Journal of Housing and the Built Environment,
2022
DOI:10.1007/s10901-022-09937-1
|
|
|
[2]
|
Price Prediction of House using KNN based Lasso and Ridge Model
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS),
2022
DOI:10.1109/ICSCDS53736.2022.9760832
|
|
|
[3]
|
Applying C atboost Regression Model for Prediction of House Prices
2022 International Conference on Engineering & MIS (ICEMIS),
2022
DOI:10.1109/ICEMIS56295.2022.9914345
|
|
|
[4]
|
Comparison of machine learning models to provide preliminary forecasts of real estate prices
Journal of Housing and the Built Environment,
2022
DOI:10.1007/s10901-022-09937-1
|
|
|
[5]
|
Applications of Artificial Intelligence and Machine Learning
Lecture Notes in Electrical Engineering,
2021
DOI:10.1007/978-981-16-3067-5_46
|
|
|
[6]
|
Prediction of Real Estate Land Prices in the Kingdom of Bahrain
2020 International Conference on Decision Aid Sciences and Application (DASA),
2020
DOI:10.1109/DASA51403.2020.9317063
|
|
|
[7]
|
Deep Learning with XGBoost for Real Estate Appraisal
2019 IEEE Symposium Series on Computational Intelligence (SSCI),
2019
DOI:10.1109/SSCI44817.2019.9002790
|
|
|
[8]
|
Comprehensive Analysis of Housing Price Prediction in Pune Using Multi-Featured Random Forest Approach
2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA),
2018
DOI:10.1109/ICCUBEA.2018.8697402
|
|
|