Antti Sorjamaa

According to our database, Antti Sorjamaa authored at least 21 papers between 2005 and 2012.

Collaborative distances:

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

2012

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition.

Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa

Expert Syst. Appl., 2012

2010

OP-ELM: optimally pruned extreme learning machine.

Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse

IEEE Trans. Neural Networks, 2010

Multiple-output modeling for multi-step-ahead time series forecasting.

Souhaib Ben Taieb, Antti Sorjamaa, Gianluca Bontempi

Neurocomputing, 2010

OPELM and OPKNN in long-term prediction of time series using projected input data.

Dusan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, Eric Séverin

Neurocomputing, 2010

X-SOM and L-SOM: A double classification approach for missing value imputation.

Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse

Neurocomputing, 2010

OP-KNN: Method and Applications.

Qi Yu, Yoan Miché, Antti Sorjamaa, Alberto Guillén, Amaury Lendasse, Eric Séverin

Adv. Artif. Neural Syst., 2010

2009

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.

Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Efficient Parallel Feature Selection for Steganography Problems.

Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Ignacio Rojas

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Long-term prediction of time series by combining direct and MIMO strategies.

Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse

Proceedings of the International Joint Conference on Neural Networks, 2009

Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.

Alberto Guillén, Antti Sorjamaa, Ginés Rubio, Amaury Lendasse, Ignacio Rojas

Proceedings of the Artificial Neural Networks, 2009

X-SOM and L-SOM: a nested approach for missing value imputation.

Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Long-term prediction of time series using NNE-based projection and OP-ELM.

Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury Lendasse

Proceedings of the International Joint Conference on Neural Networks, 2008

OP-ELM: Theory, Experiments and a Toolbox.

Yoan Miche, Antti Sorjamaa, Amaury Lendasse

Proceedings of the Artificial Neural Networks, 2008

Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling.

Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Eric Séverin, Alberto Guillén, Fernando Mateo

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Methodology for long-term prediction of time series.

Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse

Neurocomputing, 2007

Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks.

Antti Sorjamaa, Amaury Lendasse

Proceedings of the International Joint Conference on Neural Networks, 2007

SOM+EOF for finding missing values.

Antti Sorjamaa, Paul Merlin, Bertrand Maillet, Amaury Lendasse

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

Time series prediction using DirRec strategy.

Antti Sorjamaa, Amaury Lendasse

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Input and Structure Selection for k-NN Approximator.

Antti Sorjamaa, Nima Reyhani, Amaury Lendasse

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Mutual Information and <i>k</i>-Nearest Neighbors Approximator for Time Series Prediction.

Antti Sorjamaa, Jin Hao, Amaury Lendasse

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Pruned lazy learning models for time series prediction.

Antti Sorjamaa, Amaury Lendasse, Michel Verleysen

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005