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102 lines
3.2 KiB
BibTeX
102 lines
3.2 KiB
BibTeX
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@article{al2020generalizing,
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title={Generalizing AI: challenges and opportunities for plug and play AI solutions},
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author={Al Ridhawi, Ismaeel and Otoum, Safa and Aloqaily, Moayad},
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journal={IEEE Network},
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volume={35},
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number={1},
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pages={372--379},
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year={2020},
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publisher={IEEE}
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}
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@article{elayan2021digital,
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title={Digital Twin for Intelligent Context-Aware IoT Healthcare Systems},
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author={Elayan, Haya and Aloqaily, Moayad and Guizani, Mohsen},
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journal={IEEE Internet of Things Journal},
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year={2021},
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publisher={IEEE}
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}
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@article{10223206,
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author={Iklassov, Zangir and Sobirov, Ikboljon and Solozabal, Ruben and Takáč, Martin},
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journal={IEEE Access},
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title={Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands},
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year={2023},
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volume={11},
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number={},
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pages={87958-87969},
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doi={10.1109/ACCESS.2023.3306076}
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}
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@article{JLL2025,
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author = {JLL Research},
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journal = {JLL Global Real Estate Perspective},
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title = {Global Real Estate Perspective February 2025: A positive but nuanced outlook for 2025},
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year = {2025},
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month = {February},
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publisher = {Jones Lang LaSalle IP, Inc.},
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url = {https://www.jll.co.th/en/trends-and-insights/research/global/gmp}
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}
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@article{nationthailand1,
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author = {Nationthailand},
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journal = {Nationthailand},
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title = {8 key trends shaping Thai real estate after rollercoaster year},
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year = {2025},
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month = {January},
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url = {https://www.nationthailand.com/business/property/40044774}
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}
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@article{bangkokpost1,
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author = {Bangkok Post},
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journal = {Bangkok Post},
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title = {Real Estate Information Center targets better data gathering to head off crises},
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year = {2024},
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month = {Jule},
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url = {https://www.bangkokpost.com/property/2836667/real-estate-information-center-targets-better-data-gathering-to-head-off-crises}
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}
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@misc{ST-RAP,
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title={ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal},
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author={Hojoon Lee and Hawon Jeong and Byungkun Lee and Kyungyup Lee and Jaegul Choo},
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year={2023},
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eprint={2308.10609},
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archivePrefix={arXiv},
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2308.10609},
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}
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@Manual{kernelshap,
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title = {kernelshap: Kernel SHAP},
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author = {Michael Mayer and David Watson},
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year = {2024},
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note = {R package version 0.7.1},
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url = {https://github.com/ModelOriented/kernelshap},
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}
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@misc{veličković2018graphattentionnetworks,
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title={Graph Attention Networks},
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author={Petar Veličković and Guillem Cucurull and Arantxa Casanova and Adriana Romero and Pietro Liò and Yoshua Bengio},
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year={2018},
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eprint={1710.10903},
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archivePrefix={arXiv},
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primaryClass={stat.ML},
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url={https://arxiv.org/abs/1710.10903},
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}
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@inproceedings{Chen_2016, series={KDD ’16},
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title={XGBoost: A Scalable Tree Boosting System},
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url={http://dx.doi.org/10.1145/2939672.2939785},
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DOI={10.1145/2939672.2939785},
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booktitle={Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
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publisher={ACM},
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author={Chen, Tianqi and Guestrin, Carlos},
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year={2016},
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month=aug, pages={785–794},
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collection={KDD ’16} }
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