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pro vyhledávání: '"BOSE, INDRANIL"'
Autor:
Dong, Pingping, Wang, Xiao-Lin, Bose, Indranil, Ng, Kam K. H., Zhang, Xiaoning, Zhang, Xiaoge
Accurate and reliable prediction has profound implications to a wide range of applications. In this study, we focus on an instance of spatio-temporal learning problem--traffic prediction--to demonstrate an advanced deep learning model developed for m
Externí odkaz:
http://arxiv.org/abs/2408.13293
In this paper, we develop a generic methodology to encode hierarchical causality structure among observed variables into a neural network in order to improve its predictive performance. The proposed methodology, called causality-informed neural netwo
Externí odkaz:
http://arxiv.org/abs/2311.17303
Causal Inference plays an significant role in explaining the decisions taken by statistical models and artificial intelligence models. Of late, this field started attracting the attention of researchers and practitioners alike. This paper presents a
Externí odkaz:
http://arxiv.org/abs/2307.16427
Publikováno v:
The Learning Organization, 2023, Vol. 31, Issue 4, pp. 465-483.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TLO-04-2023-0067
Autor:
Prabhala, Madhuri, Bose, Indranil
Publikováno v:
Industrial Management & Data Systems, 2023, Vol. 124, Issue 2, pp. 485-508.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMDS-04-2023-0262
Autor:
Bose, Indranil1 sentindranil72@gmail.com, Ray, Nilanjan2 dr.nilanjanmgmt@gmail.com, Biswas, Soma Bose3 mabbiswas@gmail.com, Gupta, Madhurima Das4 madhurima.dasgupta2@gmail.com
Publikováno v:
Indian Journal of Industrial Relations. 2024, Vol. 60 Issue 1, p72-83. 12p.
Publikováno v:
In International Journal of Information Management April 2024 75
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