Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Emilia Oikarinen"'
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
In recent years the use of complex machine learning has increased drastically. These complex black box models trade interpretability for accuracy. The lack of interpretability is troubling for, e.g., socially sensitive, safety-critical, or knowledge
Externí odkaz:
https://doaj.org/article/c6bd5b0a83b648c5937531ce1930b466
Publikováno v:
Journal of Safety Research. 82:28-37
Introduction: Finnish companies are legally required to insure their employees against occupational acci-dents. Insurance companies are then required to submit information about occupational accidents to the Finnish Workers' Compensation Center (TVK)
Publikováno v:
Data Mining and Knowledge Discovery. 35:726-747
Regression analysis is a standard supervised machine learning method used to model an outcome variable in terms of a set of predictor variables. In most real-world applications the true value of the outcome variable we want to predict is unknown outs
Real-world datasets are often characterised by outliers; data items that do not follow the same structure as the rest of the data. These outliers might negatively influence modelling of the data. In data analysis it is, therefore, important to consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed56d04519970287c13321c5c1aa28b6
http://hdl.handle.net/10138/342187
http://hdl.handle.net/10138/342187
Publikováno v:
Behaviour & Information Technology. 38:1038-1047
Today's ever-increasing amount of data places new demands on cognitive ergonomics and requires new design ideas to ensure successful human-data interaction. Our aim was to identify the cognitive factors that must be considered when designing systems
Publikováno v:
LPAR
Motivated by Gromov’s subgroup conjecture (GSC), a fundamental open conjecture in the area of geometric group theory, we tackle the problem of the existence of partic- ular types of subgroups—arising from so-called periodic apartments—for a spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a71b645de0aeac461c56c320c18aa11
http://hdl.handle.net/10138/318501
http://hdl.handle.net/10138/318501
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-1
A fundamental problem in visual data exploration concerns whether observed patterns are true or merely random noise. This problem is especially pertinent in visual analytics, where the user is presented with a barrage of patterns, without any guarant
Publikováno v:
Discovery Science ISBN: 9783030337773
DS
DS
Real-world datasets are often characterised by outliers, points far from the majority of the points, which might negatively influence modelling of the data. In data analysis it is hence important to use methods that are robust to outliers. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d4860963fbb3c82ab6b5693bb4da04e
http://hdl.handle.net/10138/308024
http://hdl.handle.net/10138/308024
Publikováno v:
ECCE
Today's ever-increasing amount of data places new demands on cognitive ergonomics and requires new design ideas to ensure successful human–data interaction. Our aim is to identify the cognitive factors that require attention when designing systems