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For:
Wickramanayake B
, He Z, Ouyang C, Moreira C, Xu Y, Sindhgatta R.
Building interpretable models for business process prediction using shared and specialised attention mechanisms.
Knowl Based Syst
2022. [DOI:
10.1016/j.knosys.2022.108773
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 2.0
]
[
Reference Citation Analysis
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[Indexed: 12/01/2022]
Number
Cited by Other Article(s)
1
Zhang N
, Zeng Z, Jin Y. Guest editorial: Robust, explainable, and privacy-preserving deep learning.
Knowl Based Syst
2023. [DOI:
10.1016/j.knosys.2023.110287
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
[
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[Indexed: 01/15/2023]
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2
Business process remaining time prediction using explainable reachability graph from gated RNNs.
APPL INTELL
2022. [DOI:
10.1007/s10489-022-04192-x
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
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[Indexed: 11/02/2022]
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3
Chen H
, Fang X, Fang H. Multi-task prediction method of business process based on BERT and Transfer Learning.
Knowl Based Syst
2022. [DOI:
10.1016/j.knosys.2022.109603
]
[
Citation(s) in
RCA
: 0
]
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Impact Index Per Article: 0
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[Indexed: 11/30/2022]
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