prindi

Interpretable machine learning for SME financial distress prediction

autor
Medianovskyi, Kyrylo
Malakauskas, Aidas
Lakstutiene, Ausrine
Ben Yahia, Sadok
vastutusandmed
Kyrylo Medianovskyi, Aidas Malakauskas, Ausrine Lakstutiene and Sadok Ben Yahia
allikas
12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System
ilmumiskoht
Cham
kirjastus/väljaandja
Springer
ilmumisaasta
2023
leheküljed
p. 454 - 464
seeria-sari
Lecture notes in networks and systems ; 624
konverentsi nimetus, aeg
12th International Conference on Information Systems and Advanced Technologies, ICISAT 2022, 26-27 August 2022
konverentsi toimumispaik
Virtual, Online
leitav
https://doi.org/10.1007/978-3-031-25344-7_42
märksõna
tehisõpe
finantskriisid
tehisintellekt
väikeettevõtted
keskmise suurusega ettevõtted
Scopus
Article collection metrics at Scopus
Article at Scopus
kvartiil
Q4
kategooria (üld)
Computer science
Engineering
kategooria (alam)
Computer science. Signal processing
Engineering. Control and systems engineering
Computer science. Computer networks and communications
võtmesõna
explainable AI
financial distress prediction
SHAP
SME
ISSN
2367-3370
ISBN
9783031253430
märkused
Bibliogr.: 27 ref
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
3.1
TTÜ struktuuriüksus
tarkvarateaduse instituut
keel
inglise
Medianovskyi, K., Malakauskas, A., Lakstutiene, A., Yahia, S.B. Interpretable machine learning for SME financial distress prediction // 12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System. Cham : Springer, 2023. p. 454 - 464. (Lecture notes in networks and systems ; 624). https://doi.org/10.1007/978-3-031-25344-7_42