Tapio Elomaa

69 papers A* 4B 10C 10Journal 19Unranked 22
YearRankTypeTitle / Venue / Authors
2023 C conf
Overfitting NN loop-filters in video coding.
VCIP
Ruiying Yang, María Santamaría, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Miska M. Hannuksela, Tapio Elomaa
2021 J jnl
using multiple losses for accurate facial age estimation.
CoRR
Yi Zhou, Heikki Huttunen, Tapio Elomaa
2018 — conf
Feasibility of B2C Customer Relationship Analytics in the B2B Industrial Context.
ECIS
Kati Stormi, Teemu Laine, Tapio Elomaa
2018 C conf
Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction.
ISMIS
Ilari Kampman, Tapio Elomaa
2016 J jnl
Integer Linear Programming-Based Scheduling for Transport Triggered Architectures.
ACM Trans. Archit. Code Optim.
Tomi Äijö, Pekka Jääskeläinen, Tapio Elomaa, Heikki Kultala, Jarmo Takala
2015 — conf
Augmenting Technology Trees: Automation and Tool Support.
VS-GAMES
Teemu J. Heinimäki, Tapio Elomaa
2015 J jnl
Quality Measures for Improving Technology Trees.
Int. J. Comput. Games Technol.
Teemu J. Heinimäki, Tapio Elomaa
2012 J jnl
Multi-target regression with rule ensembles.
J. Mach. Learn. Res.
Timo Aho, Bernard Zenko, Saso Dzeroski, Tapio Elomaa
2011 J jnl
An Analysis of Reduced Error Pruning
CoRR
Tapio Elomaa, Matti Kääriäinen
2011 B ed.
Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings
Discovery Science
Tapio Elomaa, Jaakko Hollmén, Heikki Mannila
2011 J jnl
Special issue on data analysis methodologies for intelligent systems: guest editor's introduction.
J. Intell. Inf. Syst.
Tapio Elomaa, Petr Berka, Jan Rauch
2010 — ed.
Algorithms and Applications, Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday
Algorithms and Applications
Tapio Elomaa, Heikki Mannila, Pekka Orponen
2010 — ch.
An Analysis of Relevance Vector Machine Regression.
Advances in Machine Learning I
Matti Saarela, Tapio Elomaa, Keijo Ruohonen
2010 — conf
Covering Analysis of the Greedy Algorithm for Partial Cover.
Algorithms and Applications
Tapio Elomaa, Jussi Kujala
2009 A* conf
A Walk from 2-Norm SVM to 1-Norm SVM.
ICDM
Jussi Kujala, Timo Aho, Tapio Elomaa
2009 C ed.
Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009. Proceedings
ISMIS
Jan Rauch, Zbigniew W. Ras, Petr Berka, Tapio Elomaa
2008 B conf
Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams.
PAKDD
Tapio Elomaa, Petri Lehtinen
2008 C conf
Obtaining Low-Arity Discretizations from Online Data Streams.
ISMIS
Tapio Elomaa, Petri Lehtinen, Matti Saarela
2008 — conf
Ranking the Uniformity of Interval Pairs.
ECML/PKDD (1)
Jussi Kujala, Tapio Elomaa
2008 — conf
Reducing Splaying by Taking Advantage of Working Sets.
WEA
Timo Aho, Tapio Elomaa, Jussi Kujala
2008 J jnl
The cost of offline binary search tree algorithms and the complexity of the request sequence.
Theor. Comput. Sci.
Jussi Kujala, Tapio Elomaa
2008 B conf
Unsupervised Classifier Selection Based on Two-Sample Test.
Discovery Science
Timo Aho, Tapio Elomaa, Jussi Kujala
2007 B conf
Following the Perturbed Leader to Gamble at Multi-armed Bandits.
ALT
Jussi Kujala, Tapio Elomaa
2007 — conf
Improved Algorithms for Univariate Discretization of Continuous Features.
PKDD
Jussi Kujala, Tapio Elomaa
2006 B conf
A Voronoi Diagram Approach to Autonomous Clustering.
Discovery Science
Heidi Koivistoinen, Minna Ruuska, Tapio Elomaa
2006 B conf
Poketree: A Dynamically Competitive Data Structure with Good Worst-Case Performance.
ISAAC
Jussi Kujala, Tapio Elomaa
2006 C conf
Practical Approximation of Optimal Multivariate Discretization.
ISMIS
Tapio Elomaa, Jussi Kujala, Juho Rousu
2005 — conf
Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes.
ECML
Tapio Elomaa, Jussi Kujala, Juho Rousu
2005 C conf
On Autonomous k-Means Clustering.
ISMIS
Tapio Elomaa, Heidi Koivistoinen
2005 B conf
On Following the Perturbed Leader in the Bandit Setting.
ALT
Jussi Kujala, Tapio Elomaa
2005 J jnl
On look-ahead and pathology in decision tree learning.
J. Exp. Theor. Artif. Intell.
Tapio Elomaa, Tuomo Malinen
2004 J jnl
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates.
Data Min. Knowl. Discov.
Tapio Elomaa, Juho Rousu
2004 J jnl
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees.
J. Mach. Learn. Res.
Matti Kääriäinen, Tuomo Malinen, Tapio Elomaa
2004 J jnl
The Difficulty of Reduced Error Pruning of Leveled Branching Programs.
Ann. Math. Artif. Intell.
Tapio Elomaa, Matti Kääriäinen
2003 J jnl
Flexible view recognition for indoor navigation based on Gabor filters and support vector machines.
Pattern Recognit.
Ilkka Autio, Tapio Elomaa
2003 J jnl
Necessary and Sufficient Pre-processing in Numerical Range Discretization.
Knowl. Inf. Syst.
Tapio Elomaa, Juho Rousu
2003 — conf
On Decision Boundaries of Naïve Bayes in Continuous Domains.
PKDD
Tapio Elomaa, Juho Rousu
2003 C conf
On Lookahead Heuristics in Decision Tree Learning.
ISMIS
Tapio Elomaa, Tuomo Malinen
2003 — conf
Rademacher Penalization over Decision Tree Prunings.
ECML
Matti Kääriäinen, Tapio Elomaa
2003 J jnl
Reduced Error Pruning of branching programs cannot be approximated to within a logarithmic factor.
Inf. Process. Lett.
Richard Nock, Tapio Elomaa, Matti Kääriäinen
2002 B conf
Experiments with Projection Learning.
Discovery Science
Tapio Elomaa, Jussi T. Lindgren
2002 A* conf
Fast Minimum Training Error Discretization.
ICML
Tapio Elomaa, Juho Rousu
2002 J jnl
Linear-Time Preprocessing in Optimal Numerical Range Partitioning.
J. Intell. Inf. Syst.
Tapio Elomaa, Juho Rousu
2002 — ed.
Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, Proceedings
ECML
Tapio Elomaa, Heikki Mannila, Hannu Toivonen
2002 C conf
Partition-Refining Algorithms for Learning Finite State Automata.
ISMIS
Tapio Elomaa
2002 — ed.
Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings
PKDD
Tapio Elomaa, Heikki Mannila, Hannu Toivonen
2002 — conf
Progressive Rademacher Sampling.
AAAI/IAAI
Tapio Elomaa, Matti Kääriäinen
2002 — conf
The Difficulty of Reduced Error Pruning of Leveled Branching Programs.
AI&M
Tapio Elomaa, Matti Kääriäinen
2001 J jnl
An Analysis of Reduced Error Pruning.
J. Artif. Intell. Res.
Tapio Elomaa, Matti Kääriäinen
2001 J jnl
On the Computational Complexity of Optimal Multisplitting.
Fundam. Informaticae
Tapio Elomaa, Juho Rousu
2001 — conf
On the Practice of Branching Program Boosting.
ECML
Tapio Elomaa, Matti Kääriäinen
2001 A* conf
Preprocessing Opportunities in Optimal Numerical Range Partitioning.
ICDM
Tapio Elomaa, Juho Rousu
2001 — conf
Robot Landmark Learning with SVMs.
SCAI
Ilkka Autio, Tapio Elomaa, Teemu Kurppa
2000 — conf
Generalizing Boundary Points.
AAAI/IAAI
Tapio Elomaa, Juho Rousu
2000 C conf
On the Complexity of Optimal Multisplitting.
ISMIS
Tapio Elomaa, Juho Rousu
1999 J jnl
General and Efficient Multisplitting of Numerical Attributes.
Mach. Learn.
Tapio Elomaa, Juho Rousu
1999 — conf
Predicting the Speed of Beer Fermentation in Laboratory and Industrial Scale.
IWANN (2)
Juho Rousu, Tapio Elomaa, Robert J. Aarts
1999 — conf
Speeding Up the Search for Optimal Partitions.
PKDD
Tapio Elomaa, Juho Rousu
1999 B conf
The Biases of Decision Tree Pruning Strategies.
IDA
Tapio Elomaa
1998 J jnl
A Review of How the Mind Works.
AI Mag.
Tapio Elomaa
1998 — conf
Postponing the Evaluation of Attributes with a High Number of Boundary Points.
PKDD
Tapio Elomaa, Juho Rousu
1997 — conf
Efficient Multisplitting on Numerical Data.
PKDD
Tapio Elomaa, Juho Rousu
1997 — conf
On the Well-Behavedness of Important Attribute Evaluation Functions.
SCAI
Tapio Elomaa, Juho Rousu
1997 C conf
Well-Behaved Evaluation Functions for Numerical Attributes.
ISMIS
Tapio Elomaa, Juho Rousu
1995 — conf
TELA: A Platform for Experimenting with Attribute-based Learning Programs.
SCAI
Tapio Elomaa, Niklas Holsti, Ilkka Hyvärinen
1994 — conf
A Geometric Approach to Feature Selection.
ECML
Tapio Elomaa, Esko Ukkonen
1994 A* conf
In Defense of C4.5: Notes in Learning One-Level Decision Trees.
ICML
Tapio Elomaa
1991 B conf
Extending the learnability of decision trees.
ICTAI
Tapio Elomaa
1990 — conf
On inducing topologically minimal decision trees.
TAI
Tapio Elomaa, Jyrki Kivinen