2008 |
19 | EE | Mikko Korpela,
Harri Mäkinen,
Mika Sulkava,
Pekka Nöjd,
Jaakko Hollmén:
Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns.
Discovery Science 2008: 100-111 |
18 | EE | Jarkko Tikka,
Jaakko Hollmén:
Selection of important input variables for RBF network using partial derivatives.
ESANN 2008: 167-172 |
17 | EE | Konsta Sirvio,
Jaakko Hollmén:
Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks.
HAIS 2008: 204-211 |
2007 |
16 | EE | Jaakko Hollmén:
Model Selection and Estimation Via Subjective User Preferences.
Discovery Science 2007: 259-263 |
15 | EE | Robert Gwadera,
Janne Toivola,
Jaakko Hollmén:
Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks.
ICDM Workshops 2007: 465-470 |
14 | EE | Jaakko Hollmén,
Jarkko Tikka:
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions.
IDA 2007: 1-12 |
13 | EE | Jarkko Tikka,
Jaakko Hollmén,
Samuel Myllykangas:
Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer.
IWANN 2007: 972-979 |
2006 |
12 | EE | Antti Rasinen,
Jaakko Hollmén,
Heikki Mannila:
Analysis of Linux Evolution Using Aligned Source Code Segments.
Discovery Science 2006: 209-218 |
11 | EE | Jarkko Tikka,
Amaury Lendasse,
Jaakko Hollmén:
Analysis of Fast Input Selection: Application in Time Series Prediction.
ICANN (2) 2006: 161-170 |
2005 |
10 | EE | Mika Sulkava,
Pasi Rautio,
Jaakko Hollmén:
Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations.
ICANN (2) 2005: 761-767 |
9 | EE | Peddinti V. Gopalacharyulu,
Erno Lindfors,
Catherine Bounsaythip,
Teemu Kivioja,
Laxman Yetukuri,
Jaakko Hollmén,
Matej Oresic:
Data integration and visualization system for enabling conceptual biology.
ISMB (Supplement of Bioinformatics) 2005: 177-185 |
8 | EE | Jarkko Tikka,
Jaakko Hollmén,
Amaury Lendasse:
Input Selection for Long-Term Prediction of Time Series.
IWANN 2005: 1002-1009 |
2004 |
7 | EE | Artur Bykowski,
Jouni K. Seppänen,
Jaakko Hollmén:
Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data.
Database Support for Data Mining Applications 2004: 234-249 |
2003 |
6 | EE | Jaakko Hollmén,
Jouni K. Seppänen,
Heikki Mannila:
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data.
SDM 2003 |
2002 |
5 | EE | Salla Ruosaari,
Jaakko Hollmén:
Image Analysis for Detecting Faulty Spots from Microarray Images.
Discovery Science 2002: 259-266 |
4 | EE | Artur Bykowski,
Jouni K. Seppänen,
Jaakko Hollmén:
Model-independent Bounding of the Supports of Boolean Formulae in Binary Data.
KDID 2002: 20-31 |
2001 |
3 | | Juha Vesanto,
Jaakko Hollmén:
An Automated Report Generation Tool for the Data Understanding Phase.
HIS 2001: 611-625 |
2000 |
2 | EE | Michal Skubacz,
Jaakko Hollmén:
Quantization of Continuous Input Variables for Binary Classification.
IDEAL 2000: 42-47 |
1998 |
1 | EE | Jaakko Hollmén,
Volker Tresp:
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model.
NIPS 1998: 889-895 |