Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mikko J. Sillanpaa"'
Publikováno v:
IEEE Access, Vol 12, Pp 51665-51675 (2024)
Multi-task learning (MTL) is a learning paradigm whose aim is to leverage information shared across related tasks to improve the generalization of models. Motivated by the success of proximal optimization algorithms and single-task learning regressio
Externí odkaz:
https://doaj.org/article/c7eb181395414d3a96f23bd80e06465a
Autor:
Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon Arridge, Adrien Desjardins, Mikko J. Sillanpaa, Andreas Hauptmann
Many interventional surgical procedures rely on medical imaging to visualise and track instruments. Such imaging methods not only need to be real-time capable, but also provide accurate and robust positional information. In ultrasound applications, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c628fd02caa6d46326810066f8be4368
http://arxiv.org/abs/2111.09631
http://arxiv.org/abs/2111.09631
Autor:
Helinä Heino, Lassi Rieppo, Tuija Männistö, Mikko J. Sillanpää, Vesa Mäntynen, Simo Saarakkala
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy coupled with machine learning-based partial least squares discriminant analysis (PLS-DA) was applied to study if severe acute respiratory syndrome coronavirus 2 (
Externí odkaz:
https://doaj.org/article/6e68ae891de04775b6b88533166de8b9
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Prediction of complex traits based on genome-wide marker information is of central importance for both animal and plant breeding. Numerous models have been proposed for the prediction of complex traits and still considerable effort has been given to
Externí odkaz:
https://doaj.org/article/7aa169b154f04b74a2ea2fe2de5c3091
Autor:
Tiina Huotari, Jarmo Rusanen, Timo Keistinen, Tero Lähderanta, Leena Ruha, Mikko J. Sillanpää, Harri Antikainen
Publikováno v:
BMC Health Services Research, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background In the past two decades, the number of maternity hospitals in Finland has been reduced from 42 to 22. Notwithstanding the benefits of centralization for larger units in terms of increased safety, the closures will inevitably impai
Externí odkaz:
https://doaj.org/article/aff98c38452b4d8d872c15c59d28a829
Autor:
Lauri Lovén, Tero Lähderanta, Leena Ruha, Ella Peltonen, Ilkka Launonen, Mikko J. Sillanpää, Jukka Riekki, Susanna Pirttikangas
Publikováno v:
Sensors, Vol 21, Iss 7, p 2279 (2021)
Spatio-temporal interpolation provides estimates of observations in unobserved locations and time slots. In smart cities, interpolation helps to provide a fine-grained contextual and situational understanding of the urban environment, in terms of bot
Externí odkaz:
https://doaj.org/article/a8d8c490a7b34f89be28c0b5e1090aba
Publikováno v:
Frontiers in Genetics, Vol 3 (2012)
Recent advances in high-throughput genotyping and transcript profiling technologies have enabled the inexpensive production of genome-wide dense marker maps in tandem with huge amounts of expression profiles. These large-scale data encompass valuable
Externí odkaz:
https://doaj.org/article/f8e23190e80649eeb9b66c2b0f5264f3