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Kimmo Valtonen

dblp:75/1391 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
data mining		 0.011997
Data Mining for Regulatory Elements in Yeast Genome · ISMB 1997
Bioinformatics and computational biology
genomics		 0.011997
Data Mining for Regulatory Elements in Yeast Genome · ISMB 1997
Bioinformatics and computational biology › gene regulation
regulatory element discovery		 0.011997
Data Mining for Regulatory Elements in Yeast Genome · ISMB 1997

Methods — techniques the papers use, named apart from their topics

data mining · 0.0
YearPublicationVenuePosition
2004 Topics in probabilistic location estimation in wireless networks
abstract
In this survey-style paper we demonstrate the usefulness of the probabilistic modelling framework in solving not only the actual positioning problem, but also many related problems involving issues like calibration, active learning, error estimation and tracking with history. We also point out some interesting links between positioning research done in the area of robotics and in the area of wireless radio networks.
Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen, Hannes Wettig
 PIMRC5
1997 Data Mining for Regulatory Elements in Yeast Genome
Alvis Brazma, Jaak Vilo, Esko Ukkonen, Kimmo Valtonen
 ISMB4