Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Antti Ukkonen"'
Autor:
Lauri Ahonen, Benjamin Cowley, Jari Torniainen, Antti Ukkonen, Arto Vihavainen, Kai Puolamäki
Publikováno v:
PLoS ONE, Vol 11, Iss 7, p e0159178 (2016)
It is known that periods of intense social interaction result in shared patterns in collaborators' physiological signals. However, applied quantitative research on collaboration is hindered due to scarcity of objective metrics of teamwork effectivene
Externí odkaz:
https://doaj.org/article/50881b53642d453494fe5de73055076e
Autor:
Ilaria Bordino, Stefano Battiston, Guido Caldarelli, Matthieu Cristelli, Antti Ukkonen, Ingmar Weber
Publikováno v:
PLoS ONE, Vol 7, Iss 7, p e40014 (2012)
We live in a computerized and networked society where many of our actions leave a digital trace and affect other people's actions. This has lead to the emergence of a new data-driven research field: mathematical methods of computer science, statistic
Externí odkaz:
https://doaj.org/article/84a24faa42184fe489ad17fe2a8e30de
Publikováno v:
Information Technology & People. 35:369-396
PurposeInterruptions are prevalent in knowledge work, and their negative consequences have driven research to find ways for interruption management. However, these means almost always leave the responsibility and burden of interruptions with individu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fd4ebbe9618a292a03af5f25c7f4e69
https://doi.org/10.1108/itp-06-2021-0491
https://doi.org/10.1108/itp-06-2021-0491
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1884267373895ca00de1a4cba860a4b2
https://doi.org/10.1080/0144929x.2019.1657181
https://doi.org/10.1080/0144929x.2019.1657181
Adaption of end-to-end speech recognition systems to new tasks is known to be challenging. A number of solutions have been proposed which apply external language models with various fusion methods, possibly with a combination of two-pass decoding. Al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faee70f2d9f2e6d0b853f6d76a132fe6
http://arxiv.org/abs/2104.11127
http://arxiv.org/abs/2104.11127
Publikováno v:
SIGIR
Finding images matching a user's intention has been largely based on matching a representation of the user's information needs with an existing collection of images. For example, using an example image or a written query to express the information ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9114d1f4f4eeafddc9e427a659a556ce
https://doi.org/10.1145/3397271.3401129
https://doi.org/10.1145/3397271.3401129
Publikováno v:
ICDE
We study the problem of discrepancy maximization on graphs: given a set of nodes $Q$ of an underlying graph $G$ , we aim to identify a connected subgraph of $G$ that contains many more nodes from $Q$ than other nodes. This variant of the discrepancy-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2b779ed5399510977ed23891d1b538f
http://juuli.fi/Record/0280954917
http://juuli.fi/Record/0280954917
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ada824b62010d64e4d0422844196c072
https://doi.org/10.1145/3335082.3335112
https://doi.org/10.1145/3335082.3335112
In many domains it is necessary to generate surrogate networks, e.g., for hypothesis testing of different properties of a network. Generating surrogate networks typically requires that different properties of the network are preserved, e.g., edges ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96e84e2d59c704984d010ecbf6a6052d
http://hdl.handle.net/10138/303479
http://hdl.handle.net/10138/303479
Autor:
Marko Hassinen, Antti Ukkonen
Publikováno v:
ECML PKDD 2018 Workshops ISBN: 9783030134624
MIDAS/PAP@PKDD/ECML
MIDAS/PAP@PKDD/ECML
The mean-variance framework by Markowitz is a classical approach to portfolio selection. Earlier work has shown that the basic Markowitz portfolios obtained by solving a quadratic program tend to have poor out-of-sample performance. These issues have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f5af4eced447479cd34e3c597f8e16d
https://doi.org/10.1007/978-3-030-13463-1_5
https://doi.org/10.1007/978-3-030-13463-1_5