Zobrazeno 1 - 10
of 373
pro vyhledávání: '"koneoppiminen"'
Autor:
Jaana Junttila
Publikováno v:
Finnish Journal of eHealth and eWelfare, Vol 16, Iss 2 (2024)
Lectio praecursoria 24.11.2023
Externí odkaz:
https://doaj.org/article/3803db9e8cb94425ad319237e85ca9f1
Autor:
Tomi Slotte Dufva, Pekka Mertala
Publikováno v:
Media & Viestintä, Vol 44, Iss 1 (2021)
Tässä artikkelissa tarkastelemme sitä, millaisena ja miten tekoäly esitetään suomalaisessa julkisessa keskustelussa, ja ketkä tekoälystä suurelle yleisölle kertovat. Aineistona olemme käyttäneet Yleisradion verkkosivujen tekoälyä käsit
Externí odkaz:
https://doaj.org/article/6676b0a6384c4bdb9f75e6db1a15a624
Publikováno v:
Procedia Computer Science. 217:91-101
Current advances in machine (deep) learning and the exponential growth of data collected by and shared between smart manufacturing processes give a unique opportunity to get extra value from that data. The use of public machine learning services actu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f65bc90abd6bd5d4793ad0d7dd0f5e4
https://doi.org/10.1016/j.procs.2022.12.205
https://doi.org/10.1016/j.procs.2022.12.205
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16:1654-1667
Nowcasts (i.e., short-term forecasts from 5 min to 6 h) of heavy rainfall are important for applications such as flash flood predictions. However, current precipitation nowcasting methods based on the extrapolation of radar echoes have a limited abil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaf95a3fd7d9f0f4b5dbef416615f28c
https://doi.org/10.1109/jstars.2023.3238016
https://doi.org/10.1109/jstars.2023.3238016
Publikováno v:
Neurocomputing. 518:344-359
Feature selection (FS) may improve the performance, cost-efficiency, and understandability of supervised machine learning models. In this paper, FS for the recently introduced distance-based supervised machine learning model is considered for regress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4813df5787122be6e1dc3b18b580857f
https://doi.org/10.1016/j.neucom.2022.11.023
https://doi.org/10.1016/j.neucom.2022.11.023
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31:316-325
The application of intracranial electroencephalogram (iEEG) to predict seizures remains challenging. Although channel selection has been utilized in seizure prediction and detection studies, most of them focus on the combination with conventional mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81fd0b8968f86b6b39e757486c526f9b
https://doi.org/10.1109/tnsre.2022.3222095
https://doi.org/10.1109/tnsre.2022.3222095
Autor:
Tommi Lehtonen, Juha Piukkula
Publikováno v:
Informaatiotutkimus, Vol 39, Iss 1 (2020)
Externí odkaz:
https://doaj.org/article/5eeb1123fb44460fa3de6e03fc2c5887
Autor:
Aila Kronqvist, Rebekah Ann Rousi
Publikováno v:
International Journal of Design Creativity and Innovation. 11:62-79
Ethics, artificial intelligence (AI), and design thinking are current buzz words. The threat of bias-riddled machine learning algorithms is represented media-wide. Research and development initiatives are endeavoring to ‘translate’ ethics into pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::608e8a7a7eecad0adc95e1a6d394c72a
https://doi.org/10.1080/21650349.2022.2136762
https://doi.org/10.1080/21650349.2022.2136762
Publikováno v:
The Journal of Physical Chemistry Letters. 13:9928-9933
We have trained the Extreme Minimum Learning Machine (EMLM) machine learning model to predict chemical potentials of individual conformers of multifunctional organic compounds containing carbon, hydrogen, and oxygen. The model is able to predict chem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94ee1eba6b820b0ca1b72472dbddc8dd
https://doi.org/10.1021/acs.jpclett.2c02612
https://doi.org/10.1021/acs.jpclett.2c02612