Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Hollmén, Jaakko"'
Publikováno v:
Nordic Machine Intelligence, Volume 3, Pages 27-47, Year 2023
The interpretability of deep neural networks has become a subject of great interest within the medical and healthcare domain. This attention stems from concerns regarding transparency, legal and ethical considerations, and the medical significance of
Externí odkaz:
http://arxiv.org/abs/2307.08003
Autor:
Agriesti, Serio, Kuzmanovski, Vladimir, Hollmén, Jaakko, Roncoli, Claudio, Nahmias-Biran, Bat-hen
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, vol.4, pp. 740 - 754, 2023
The use of Agent-Based and Activity-Based modeling in transportation is rising due to the capability of addressing complex applications such as disruptive trends (e.g., remote working and automation) or the design and assessment of disaggregated mana
Externí odkaz:
http://arxiv.org/abs/2302.03480
Autor:
Kulmala, Liisa, Žliobaitė, Indre, Nikinmaa, Eero, Nöjd, Pekka, Kolari, Pasi, Kabiri Koupaei, Kourosh, Hollmén, Jaakko, Mäkinen, Harri
Publikováno v:
Silva Fennica, Vol 50, Iss 5 (2016)
Despite the numerous studies on year-to-year variation of tree growth, the physiological mechanisms controlling annual variation in growth are still not understood in detail. We studied the applicability of data-driven approach i.e. different regress
Externí odkaz:
https://doaj.org/article/300c53391c674da0b6b723c76f986c10
Autor:
Mondrejevski, Lena, Miliou, Ioanna, Montanino, Annaclaudia, Pitts, David, Hollmén, Jaakko, Papapetrou, Panagiotis
Although Machine Learning (ML) can be seen as a promising tool to improve clinical decision-making for supporting the improvement of medication plans, clinical procedures, diagnoses, or medication prescriptions, it remains limited by access to health
Externí odkaz:
http://arxiv.org/abs/2205.15104
Publikováno v:
Pattern Recognition, Volume 63, Pages 45-55, 2017
The number of methods available for classification of multi-label data has increased rapidly over recent years, yet relatively few links have been made with the related task of classification of sequential data. If labels indices are considered as ti
Externí odkaz:
http://arxiv.org/abs/1609.08349
Autor:
Read, Jesse, Hollmén, Jaakko
Competitive methods for multi-label classification typically invest in learning labels together. To do so in a beneficial way, analysis of label dependence is often seen as a fundamental step, separate and prior to constructing a classifier. Some met
Externí odkaz:
http://arxiv.org/abs/1503.09022
Autor:
Nöjd, Pekka, Korpela, Mikko, Hari, Pertti, Rannik, Üllar, Sulkava, Mika, Hollmén, Jaakko, Mäkinen, Harri
Publikováno v:
In Dendrochronologia December 2017 46:35-45
Publikováno v:
In Pattern Recognition March 2017 63:45-55
Autor:
Teittinen, Jukka, Hiienkari, Markus, Žliobaitė, Indrė, Hollmen, Jaakko, Berg, Heikki, Heiskala, Juha, Viitanen, Timo, Simonsson, Jesse, Koskinen, Lauri
Publikováno v:
In Microelectronics Journal March 2017 61:106-113
Autor:
Kulmala, Liisa, Read, Jesse, Nöjd, Pekka, Rathgeber, Cyrille B.K., Cuny, Henri E., Hollmén, Jaakko, Mäkinen, Harri
Publikováno v:
In Agricultural and Forest Meteorology 15 January 2017 232:210-224