Tapio Elomaa

According to our database, Tapio Elomaa authored at least 62 papers between 1990 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Overfitting NN loop-filters in video coding.

Ruiying Yang, María Santamaría, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Miska M. Hannuksela, Tapio Elomaa

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

2021

using multiple losses for accurate facial age estimation.

Yi Zhou, Heikki Huttunen, Tapio Elomaa

CoRR, 2021

2018

Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction.

Ilari Kampman, Tapio Elomaa

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Feasibility of B2C Customer Relationship Analytics in the B2B Industrial Context.

Kati Stormi, Teemu Laine, Tapio Elomaa

Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

2016

Integer Linear Programming-Based Scheduling for Transport Triggered Architectures.

Tomi Äijö, Pekka Jääskeläinen, Tapio Elomaa, Heikki Kultala, Jarmo Takala

ACM Trans. Archit. Code Optim., 2016

2015

Quality Measures for Improving Technology Trees.

Teemu J. Heinimäki, Tapio Elomaa

Int. J. Comput. Games Technol., 2015

Augmenting Technology Trees: Automation and Tool Support.

Teemu J. Heinimäki, Tapio Elomaa

Proceedings of the 7th International Conference on Games and Virtual Worlds for Serious Applications, 2015

2012

Multi-target regression with rule ensembles.

Timo Aho, Bernard Zenko, Saso Dzeroski, Tapio Elomaa

J. Mach. Learn. Res., 2012

2011

Special issue on data analysis methodologies for intelligent systems: guest editor's introduction.

Tapio Elomaa, Petr Berka, Jan Rauch

J. Intell. Inf. Syst., 2011

2010

An Analysis of Relevance Vector Machine Regression.

Matti Saarela, Tapio Elomaa, Keijo Ruohonen

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Covering Analysis of the Greedy Algorithm for Partial Cover.

Tapio Elomaa, Jussi Kujala

Proceedings of the Algorithms and Applications, 2010

2009

A Walk from 2-Norm SVM to 1-Norm SVM.

Jussi Kujala, Timo Aho, Tapio Elomaa

Proceedings of the ICDM 2009, 2009

2008

The cost of offline binary search tree algorithms and the complexity of the request sequence.

Jussi Kujala, Tapio Elomaa

Theor. Comput. Sci., 2008

Reducing Splaying by Taking Advantage of Working Sets.

Timo Aho, Tapio Elomaa, Jussi Kujala

Proceedings of the Experimental Algorithms, 7th International Workshop, 2008

Ranking the Uniformity of Interval Pairs.

Jussi Kujala, Tapio Elomaa

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams.

Tapio Elomaa, Petri Lehtinen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Obtaining Low-Arity Discretizations from Online Data Streams.

Tapio Elomaa, Petri Lehtinen, Matti Saarela

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Unsupervised Classifier Selection Based on Two-Sample Test.

Timo Aho, Tapio Elomaa, Jussi Kujala

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

Improved Algorithms for Univariate Discretization of Continuous Features.

Jussi Kujala, Tapio Elomaa

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Following the Perturbed Leader to Gamble at Multi-armed Bandits.

Jussi Kujala, Tapio Elomaa

Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007

2006

Practical Approximation of Optimal Multivariate Discretization.

Tapio Elomaa, Jussi Kujala, Juho Rousu

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Poketree: A Dynamically Competitive Data Structure with Good Worst-Case Performance.

Jussi Kujala, Tapio Elomaa

Proceedings of the Algorithms and Computation, 17th International Symposium, 2006

A Voronoi Diagram Approach to Autonomous Clustering.

Heidi Koivistoinen, Minna Ruuska, Tapio Elomaa

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

On look-ahead and pathology in decision tree learning.

Tapio Elomaa, Tuomo Malinen

J. Exp. Theor. Artif. Intell., 2005

On Autonomous k-Means Clustering.

Tapio Elomaa, Heidi Koivistoinen

Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes.

Tapio Elomaa, Jussi Kujala, Juho Rousu

Proceedings of the Machine Learning: ECML 2005, 2005

On Following the Perturbed Leader in the Bandit Setting.

Jussi Kujala, Tapio Elomaa

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004

Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees.

Matti Kääriäinen, Tuomo Malinen, Tapio Elomaa

J. Mach. Learn. Res., 2004

Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates.

Tapio Elomaa, Juho Rousu

Data Min. Knowl. Discov., 2004

The Difficulty of Reduced Error Pruning of Leveled Branching Programs.

Tapio Elomaa, Matti Kääriäinen

Ann. Math. Artif. Intell., 2004

2003

Flexible view recognition for indoor navigation based on Gabor filters and support vector machines.

Ilkka Autio, Tapio Elomaa

Pattern Recognit., 2003

Necessary and Sufficient Pre-processing in Numerical Range Discretization.

Tapio Elomaa, Juho Rousu

Knowl. Inf. Syst., 2003

Reduced Error Pruning of branching programs cannot be approximated to within a logarithmic factor.

Richard Nock, Tapio Elomaa, Matti Kääriäinen

Inf. Process. Lett., 2003

On Decision Boundaries of Naïve Bayes in Continuous Domains.

Tapio Elomaa, Juho Rousu

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

On Lookahead Heuristics in Decision Tree Learning.

Tapio Elomaa, Tuomo Malinen

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Rademacher Penalization over Decision Tree Prunings.

Matti Kääriäinen, Tapio Elomaa

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Linear-Time Preprocessing in Optimal Numerical Range Partitioning.

Tapio Elomaa, Juho Rousu

J. Intell. Inf. Syst., 2002

Partition-Refining Algorithms for Learning Finite State Automata.

Tapio Elomaa

Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

Fast Minimum Training Error Discretization.

Tapio Elomaa, Juho Rousu

Proceedings of the Machine Learning, 2002

Experiments with Projection Learning.

Tapio Elomaa, Jussi T. Lindgren

Proceedings of the Discovery Science, 5th International Conference, 2002

Progressive Rademacher Sampling.

Tapio Elomaa, Matti Kääriäinen

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

An Analysis of Reduced Error Pruning.

Tapio Elomaa, Matti Kääriäinen

J. Artif. Intell. Res., 2001

On the Computational Complexity of Optimal Multisplitting.

Tapio Elomaa, Juho Rousu

Fundam. Informaticae, 2001

Robot Landmark Learning with SVMs.

Ilkka Autio, Tapio Elomaa, Teemu Kurppa

Proceedings of the SCAI'01, 2001

Preprocessing Opportunities in Optimal Numerical Range Partitioning.

Tapio Elomaa, Juho Rousu

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

On the Practice of Branching Program Boosting.

Tapio Elomaa, Matti Kääriäinen

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

On the Complexity of Optimal Multisplitting.

Tapio Elomaa, Juho Rousu

Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Generalizing Boundary Points.

Tapio Elomaa, Juho Rousu

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

General and Efficient Multisplitting of Numerical Attributes.

Tapio Elomaa, Juho Rousu

Mach. Learn., 1999

Speeding Up the Search for Optimal Partitions.

Tapio Elomaa, Juho Rousu

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Predicting the Speed of Beer Fermentation in Laboratory and Industrial Scale.

Juho Rousu, Tapio Elomaa, Robert J. Aarts

Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

The Biases of Decision Tree Pruning Strategies.

Tapio Elomaa

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

1998

A Review of How the Mind Works.

Tapio Elomaa

AI Mag., 1998

Postponing the Evaluation of Attributes with a High Number of Boundary Points.

Tapio Elomaa, Juho Rousu

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

1997

On the Well-Behavedness of Important Attribute Evaluation Functions.

Tapio Elomaa, Juho Rousu

Proceedings of the Sixth Scandinavian Conference on Artificial Intelligence, 1997

Efficient Multisplitting on Numerical Data.

Tapio Elomaa, Juho Rousu

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

Well-Behaved Evaluation Functions for Numerical Attributes.

Tapio Elomaa, Juho Rousu

Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

1995

TELA: A Platform for Experimenting with Attribute-based Learning Programs.

Tapio Elomaa, Niklas Holsti, Ilkka Hyvärinen

Proceedings of the Fifth Scandinavian Conference on Artificial Intelligence, 1995

1994

In Defense of C4.5: Notes in Learning One-Level Decision Trees.

Tapio Elomaa

Proceedings of the Machine Learning, 1994

A Geometric Approach to Feature Selection.

Tapio Elomaa, Esko Ukkonen

Proceedings of the Machine Learning: ECML-94, 1994

1991

Extending the learnability of decision trees.

Tapio Elomaa

Proceedings of the Third International Conference on Tools for Artificial Intelligence, 1991

1990

On inducing topologically minimal decision trees.

Tapio Elomaa, Jyrki Kivinen

Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990