Neurocomputing

Research outputs

  1. 2018
  2. Published

    Supervised low rank indefinite kernel approximation using minimum enclosing balls

    Schleif, F. M., Gisbrecht, A. & Tino, P., 27 Nov 2018, In : Neurocomputing. 318, p. 213-226 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Published

    Gaussian process classification for prediction of in-hospital mortality among preterm infants

    Rinta-Koski, O. P., Särkkä, S., Hollmén, J., Leskinen, M. & Andersson, S., 2018, In : Neurocomputing. 298, p. 134-141

    Research output: Contribution to journalArticleScientificpeer-review

  4. Published

    Stochastic Discriminant Analysis for Linear Supervised Dimension Reduction

    Juuti, M., Corona, F. & Karhunen, J., 2018, In : Neurocomputing. 291, p. 136-150 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. 2017
  6. Published

    What you see is what you can change: Human-centered machine learning by interactive visualization

    Sacha, D., Sedlmair, M., Zhang, L., Lee, J. A., Peltonen, J., Weiskopf, D., North, S. C. & Keim, D. A., 13 Dec 2017, In : Neurocomputing. 268, p. 164-175 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Published

    Cluster ensemble selection with constraints

    Yang, F., Li, T., Zhou, Q. & Xiao, H., 26 Apr 2017, In : Neurocomputing. 235, p. 59-70 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Published

    Adding reliability to ELM forecasts by confidence intervals

    Akusok, A., Gritsenko, A., Miche, Y., Björk, K. M., Nian, R., Lauren, P. & Lendasse, A., 5 Jan 2017, In : Neurocomputing. 219, p. 232-241 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Published

    Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features

    Rezazadegan Tavakoli, H., Borji, A., Laaksonen, J. & Rahtu, E., 2017, In : Neurocomputing. 244, p. 10-18

    Research output: Contribution to journalArticleScientificpeer-review

  10. Published

    Utilising Kronecker Decomposition and Tensor-based Multi-view Learning to predict where people are looking in images

    Pasupa, K. & Szedmak, S., 2017, In : Neurocomputing. 248, p. 80–93

    Research output: Contribution to journalArticleScientificpeer-review

  11. 2016
  12. Published

    ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines

    Akusok, A., Baek, S., Miche, Y., Björk, K. M., Nian, R., Lauren, P. & Lendasse, A., 12 Sep 2016, In : Neurocomputing. 205, p. 247-263 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Published

    Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification

    Termenon, M., Grana, M., Savio, A., Akusok, A., Miche, Y., Bjork, K-M. & Lendasse, A., 22 Jan 2016, In : Neurocomputing. 174, p. 344-351 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Published

    Singular Value Decomposition update and its application to (Inc)-OP-ELM

    Grigorevskiy, A., Miche, Y., Käpylä, M. & Lendasse, A., 22 Jan 2016, In : Neurocomputing. 174, p. 99-108 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. Published

    Self-organizing multiobjective optimization based on decomposition with neighborhood ensemble

    Zhang, H., Zhang, X., Gao, X-Z. & Song, S., 15 Jan 2016, In : Neurocomputing. 173, p. 1868-1884 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. 2015
  17. Published

    Self-organization and missing values in SOM and GTM

    Vatanen, T., Osmala, M., Raiko, T., Lagus, K., Sysi-Aho, M., Orešič, M., Honkela, T. & Lähdesmäki, H., 5 Jan 2015, In : Neurocomputing. 147, 1, p. 60-70 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Published

    Binary/Ternary Extreme Learning Machines

    van Heeswijk, M. & Miche, Y., 2015, In : Neurocomputing. 149, Part A, p. 187-197

    Research output: Contribution to journalArticleScientificpeer-review

  19. Published

    Formation control of impulsive networked autonomous underwater vehicles under fixed and switching topologies

    Hu, Z., Ma, C., Zhang, L., Halme, A., Hayat, T. & Ahmad, B., 2015, In : Neurocomputing. 147, 1, p. 291-298 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Published

    MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model

    Akusok, A., Veganzones, D., Miché, Y., Björk, K-M., du Jardin, P., Séverin, E. & Lendasse, A., 2015, In : Neurocomputing. 159, p. 242-250

    Research output: Contribution to journalArticleScientificpeer-review

  21. Published

    Minimal Learning Machine: A novel supervised distance-based approach for regression and classification

    de Souza Junior, A. H., Barreto, G., Corona, F., Barretto, G., Miche, Y. & Lendasse, A., 2015, In : Neurocomputing. 164, p. 3444

    Research output: Contribution to journalArticleScientificpeer-review

  22. Published

    Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map

    Souza Junior, A. H., Barreto, G. A. & Corona, F., 2015, In : Neurocomputing. 147, p. 31-46

    Research output: Contribution to journalArticleScientificpeer-review

  23. Published

    Skeleton-based action recognition with extreme learning machines

    Chen, X. & Koskela, M., 2015, In : Neurocomputing. 149, Part A, p. 397-396

    Research output: Contribution to journalArticleScientificpeer-review

  24. Published

    SOM-ELM—Self-Organized Clustering using ELM

    Miché, Y., Akusok, A., Veganzones, D., Björk, K-M., Séverin, E., du Jardin, P., Termenón, M. & Lendasse, A., 2015, In : Neurocomputing. 165, p. 238254

    Research output: Contribution to journalArticleScientificpeer-review

  25. Published

    Towards cost-sensitive adaptation: when is it worth updating your predictive model?

    Zliobaite, I., Budka, M. & Stahl, F., 2015, In : Neurocomputing. 150, Part A, p. 240249

    Research output: Contribution to journalArticleScientificpeer-review

  26. Published

    Understanding emotional impact of images using Bayesian multiple kernel learning

    Zhang, H., Gönen, M., Yang, Z. & Oja, E., 2015, In : Neurocomputing. 165, 00, p. 3-13

    Research output: Contribution to journalArticleScientificpeer-review

  27. 2014
  28. Published

    Correlation-based embedding of pairwise score data

    Strickert, M., Bunte, K., Schleif, F. M. & Hüllermeier, E., 2 Oct 2014, In : Neurocomputing. 141, p. 97-109 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  29. Published

    Multi-task and multi-view learning of user state

    Kandemir, M., Vetek, A., Gönen, M., Klami, A. & Kaski, S., 2 Sep 2014, In : Neurocomputing. 139, p. 97-106 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  30. Published

    Advances in extreme learning machines (ELM2012)

    Lendasse, A., He, Q., Miche, Y. & Huang, G. B., 27 Mar 2014, In : Neurocomputing. 128, p. 1-3 3 p.

    Research output: Contribution to journalEditorialScientific

  31. Published

    Adaptive multiplicative updates for quadratic nonnegative matrix factorization

    Zhang, H., Yang, Z. & Oja, E., 2014, In : Neurocomputing. 134, p. 206-213

    Research output: Contribution to journalArticleScientificpeer-review

  32. Published

    Bankruptcy prediction using Extreme Learning Machine and financial expertise

    Yu, Q., Miche, Y., Séverin, E. & Lendasse, A., 2014, In : Neurocomputing. 128, 128, p. 296-302

    Research output: Contribution to journalArticleScientificpeer-review

  33. Published

    Ensemble Delta Test- Extreme Learning Machine (DT-ELM) For Regression

    Yu, Q., van Heeswijk, M., Miche, Y., Nian, R., He, B., Séverin, E. & Lendasse, A., 2014, In : Neurocomputing. 129, p. 153-158

    Research output: Contribution to journalArticleScientificpeer-review

  34. Published

    Extreme learning machines for soybean classification in remote sensing hyperspectral images

    Moreno, R., Corona, F., Lendasse, A., Grana, M. & Galvao, L., 2014, In : Neurocomputing. 128, p. 207-216

    Research output: Contribution to journalArticleScientificpeer-review

  35. Published

    Extreme Learning Machine towards Dynamic Model Hypothesis in Fish Ethology Research

    Nian, R., He, B., Zheng, B., van Heeswijk, M., Yu, Q., Miche, Y. & Lendasse, A., 2014, In : Neurocomputing. 128, p. 273-284

    Research output: Contribution to journalArticleScientificpeer-review

  36. Published

    Mixture of Gaussians for distance estimation with missing data

    Eirola, E., Lendasse, A., Vandewalle, V. & Biernacki, C., 2014, In : Neurocomputing. 131, p. 32-42

    Research output: Contribution to journalArticleScientificpeer-review

  37. 2013
  38. Published

    Feature Selection for Nonlinear Models using Extreme Learning Machines

    Frénay, B., van Heeswijk, M., Miche, Y., Verleysen, M. & Lendasse, A., 2013, In : Neurocomputing. 102, p. 111-124

    Research output: Contribution to journalArticleScientificpeer-review

  39. Published

    Finding Dependent and Independent Components from Related Data Sets: A Generalized Canonical Correlation Based Method

    Karhunen, J., Hao, T. & Ylipaavalniemi, J., 2013, In : Neurocomputing. 113, p. 153-167

    Research output: Contribution to journalArticleScientificpeer-review

  40. Published

    Regularized Extreme Learning Machine For Regression with Missing Data

    Yu, Q., Miche, Y., Eirola, E., van Heeswijk, M., Séverin, E. & Lendasse, A., 2013, In : Neurocomputing. 102, p. 4551

    Research output: Contribution to journalArticleScientificpeer-review

  41. Published

    Transfer learning using a nonparametric sparse topic model

    Faisal, A., Gillberg, J., Leen, G. & Peltonen, J., 2013, In : Neurocomputing. 112, 0, p. 124-137

    Research output: Contribution to journalArticleScientificpeer-review

  42. 2012
  43. Published

    Adaptive kernel smoothing regression for spatio-temporal environmental datasets

    Montesino Pouzols, F. & Lendasse, A., 1 Aug 2012, In : Neurocomputing. 90, p. 59-65 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  44. Published

    Reinforcement learning based sensing policy optimization for energy efficient cognitive radio networks

    Oksanen, J., Lunden, J. & Koivunen, V., 2012, In : Neurocomputing. 80, 80, p. 102-110

    Research output: Contribution to journalArticleScientificpeer-review

  45. Published

    Three-way analysis of structural health monitoring data

    Prada, M. A. ., Toivola, J., Kullaa, J. & Hollmén, J., 2012, In : Neurocomputing. 80, p. 119-128

    Research output: Contribution to journalArticleScientificpeer-review

  46. 2011
  47. Published

    Parameter-insensitive kernel in extreme learning for non-linear support vector regression

    Frénay, B. & Verleysen, M., Sep 2011, In : Neurocomputing. 74, 16, p. 2526-2531 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  48. Published

    Fault tolerant machine learning for nanoscale cognitive radio

    Pajarinen, J., Peltonen, J. & Uusitalo, M. A., 2011, In : Neurocomputing. 74, 5, p. 753-764

    Research output: Contribution to journalArticleScientificpeer-review

  49. Published

    GPU-Accelerated and Parallelized ELM Ensembles for Large-scale Regression

    van Heeswijk, M., Miche, Y., Oja, E. & Lendasse, A., 2011, In : Neurocomputing. 74, 16, p. 2430-2437

    Research output: Contribution to journalArticleScientificpeer-review

  50. Published

    TROP-ELM: a Double-Regularized ELM using LARS and Tikhonov Regularization

    Miche, Y., van Heeswijk, M., Bas, P., Simula, O. & Lendasse, A., 2011, In : Neurocomputing. 74, 16, p. 2413-2421

    Research output: Contribution to journalArticleScientificpeer-review

  51. 2010
  52. Published

    Approximate k-NN Delta Test Minimization Method using Genetic Algorithms: Application to Time Series

    Mateo, F., Sovilj, D. & Gadea, R., 2010, In : Neurocomputing. 73, 10-12, p. 2017-2029

    Research output: Contribution to journalArticleScientificpeer-review

  53. Published

    Automatic clustering-based identification of autoregressive fuzzy inference models for time series

    Pouzols, F. M. & Barros, A. B., 2010, In : Neurocomputing. 73, 10-12, p. 1937-1949

    Research output: Contribution to journalArticleScientificpeer-review

  54. Published

    Automatic detection of onset and cessation of tree stem radius increase using dendrometer data

    Korpela, M., Mäkinen, H., Nöjd, P., Hollmén, J. & Sulkava, M., 2010, In : Neurocomputing. 73, 10-12, p. 2039-2046

    Research output: Contribution to journalArticleScientificpeer-review

  55. Published

    European Symposium on Times Series Prediction

    Lendasse, A., Honkela, T. & Simula, O., 2010, In : Neurocomputing. 73, 10-12, p. 1919-1922

    Research output: Contribution to journalArticleScientificpeer-review

  56. Published

    Multiple-Output Modelling for Multi-Step-Ahead Time Series Forecasting

    Taieb, S. B., Sorjamaa, A. & Bontempi, G., 2010, In : Neurocomputing. 73, 10-12, p. 1950-1957

    Research output: Contribution to journalArticleScientificpeer-review

  57. Published

    New method for instance or prototype selection using mutual information in time series prediction

    Guillén, A., Herrera, L., Rubio, G., Lendasse, A. & Pomares, H., 2010, In : Neurocomputing. 73, 10-12, p. 2030-2038

    Research output: Contribution to journalArticleScientificpeer-review

  58. Published

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

    Sovilj, D., Sorjamaa, A., Yu, Q., Miche, Y. & Séverin, E., 2010, In : Neurocomputing. 73, 10-12, p. 1976-1986

    Research output: Contribution to journalArticleScientificpeer-review

  59. Published

    Transformations in variational Bayesian factor analysis to speed up learning

    Luttinen, J. & Ilin, A., 2010, In : Neurocomputing. 73, 7-9, p. 1093-1102

    Research output: Contribution to journalArticleScientificpeer-review

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