Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Pekka Malo"'
Autor:
Zhaoyang Chen, Lina Siltala-Li, Mikko Lassila, Pekka Malo, Eeva Vilkkumaa, Tarja Saaresranta, Arho Veli Virkki
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 11, Pp 306-317 (2023)
Background: Obstructive sleep apnea (OSA) is growing increasingly prevalent in many countries as obesity rises. Sufficient, effective treatment of OSA entails high social and financial costs for healthcare. Objective: For treatment purposes, predicti
Externí odkaz:
https://doaj.org/article/7b41ed710945456287a5d062825c9c41
Publikováno v:
Canadian Journal of Forest Research. 51:1393-1409
We solve a stochastic high-dimensional optimal harvesting problem by using reinforcement learning algorithms developed for agents who learn an optimal policy in a sequential decision process through repeated experience. This approach produces optimal
Autor:
Neda Barzegar Marvasti, Pekka Malo, Samuel Kaski, Bikesh Raj Upreti, Zeinab R. Yousefi, Iiro Vaniala, Henrikki Tikkanen, Juho-Petteri Huhtala
Publikováno v:
Industrial Marketing Management. 97:126-133
Funding Information: The authors would like to thank Business Finland (the public organization for innovation funding and trade, travel and investment pro-motion in Finland) for funding this research project (B2BAI). The authors would also like to th
Publikováno v:
Journal of International Accounting, Auditing and Taxation. 51:100550
Funding Information: We are grateful to the Finnish Tax Administration for access to data and for their support during the research project. We thank the Editor-in-Chief and two anonymous reviewers for their highly constructive comments that signific
Autor:
Samuel Kaski, Juho-Petteri Huhtala, Neda Barzegar Marvasti, Henrikki Tikkanen, Pekka Malo, Bikesh Raj Upreti, Iiro Vaniala, Pekka Mattila
Publikováno v:
Industrial Marketing Management. 93:32-40
Business-to-business (B2B) sellers need to enhance content marketing and analytics in an online environment. The challenge is that sellers have data but do not know how to utilize it. In this study, we develop a neural content model to match the cont
Publikováno v:
Journal of the Association for Information Science and Technology.
Fine-grained financial sentiment analysis on news headlines is a challenging task requiring human-annotated datasets to achieve high performance. Limited studies have tried to address the sentiment extraction task in a setting where multiple entities
Publikováno v:
SSRN Electronic Journal.
In proceeding beyond the generic optimal rotation model, forest economic research has applied various specifications that aim to circumvent the problems of high dimensional-ity. We specify an age-and size-structured mixed-species optimal harvesting m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e6bf24b745d7245900b1246222a35e4
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-490536
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-490536
Publikováno v:
Journal of Heuristics. 26:151-185
A large number of application problems involve two levels of optimization, where one optimization task is nested inside the other. These problems are known as bilevel optimization problems and have been studied by both classical optimization communit
Autor:
Pekka Malo, Antti Salovaara, Tapani Rinta-Kahila, Per Rådberg Nagbøl, Esko Penttinen, Aleksandre Asatiani
Publikováno v:
Asatiani, A, Malo, P, Nagbøl, P R, Penttinen, E, Rinta-Kahila, T & Salovaara, A 2021, ' Sociotechnical Envelopment of Artificial Intelligence: An Approach to Organizational Deployment of Inscrutable Artificial Intelligence Systems ', Journal of the Association for Information Systems (JAIS), vol. Volume 22, no. Issue 2, pp. 325-252 . https://doi.org/10.17705/1jais.00664
The paper presents an approach for implementing inscrutable (i.e., nonexplainable) artificial intelligence (AI) such as neural networks in an accountable and safe manner in organizational settings. Drawing on an exploratory case study and the recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3443d0437fade167625534f94ca6bd3
https://pure.itu.dk/ws/files/86457282/asatiani2021SociotechnicalEnvelopmentofArtificialIntelligence_AnApproachtoOrganizationalDeploymentofInscrutableArtificialIntelligenceSystems_.pdf
https://pure.itu.dk/ws/files/86457282/asatiani2021SociotechnicalEnvelopmentofArtificialIntelligence_AnApproachtoOrganizationalDeploymentofInscrutableArtificialIntelligenceSystems_.pdf