Publication: Room occupancy detection using modified stacking
Issued Date
2017-02-24
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2-s2.0-85024390194
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Mahidol University
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SCOPUS
Bibliographic Citation
ACM International Conference Proceeding Series. Vol.Part F128357, (2017), 162-166
Suggested Citation
Pawalai Kraipeerapun, Somkid Amornsamankur Room occupancy detection using modified stacking. ACM International Conference Proceeding Series. Vol.Part F128357, (2017), 162-166. doi:10.1145/3055635.3056597 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/42393
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Title
Room occupancy detection using modified stacking
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Abstract
© 2017 ACM. Occupancy detection is a binary classification task. However, in this paper, stacking for multiclass classification is applied to detect occupancy of a room. Neural network with duo outputs are combined with stacking. The outputs of stacking for multiclass classification are then integrated to get a binary classification. The occupancy detection dataset obtained from UCI Machine Learning Repository is used in the experiment. It is found that our proposed stacking technique provides better accuracy result than the traditional stacking for binary classification.