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Swedish

Anton Akusok

Person

  1. 2018
  2. Eirola, E, Akusok, A, Björk, K-M & Lendasse, A 2018, Distance Estimation for Incomplete Data by Extreme Learning Machine. in International Conference on Extreme Learning Machine: Proceedings of ELM-2017. Proceedings in Adaptation, Learning and Optimization (PALO), vol. 10, Springer, Cham, pp. 203-209, 2017 the 8th International Conference on Extreme Learning Machines (ELM) , Yantai, China, 04.10.2017. https://doi.org/10.1007/978-3-030-01520-6_18
  3. Akusok, A, Eirola, E, Björk, K-M & Lendasse, A 2018, Extreme Learning Tree. in International Conference on Extreme Learning Machine: Proceedings of ELM-2017. Proceedings in Adaptation, Learning and Optimization (PALO), vol. 10, Springer, Cham, pp. 181-185 , 2017 the 8th International Conference on Extreme Learning Machines (ELM) , Yantai, China, 04.10.2017. https://doi.org/10.1007/978-3-030-01520-6_16
  4. Akusok, A, Saarela, M, Kärkkäinen, T, Björk, K-M & Lendasse, A 2018, Mislabel Detection of Finnish Publication Ranks. in International Conference on Extreme Learning Machine: Proceedings of ELM-2017. Proceedings in Adaptation, Learning and Optimization (PALO), vol. 10, Springer, Cham, pp. 240-248 , 2017 the 8th International Conference on Extreme Learning Machines (ELM) , Yantai, China, 04.10.2017. https://doi.org/10.1007/978-3-030-01520-6_22
  5. Hu, R, Roshdibenam, V, Johnson, HJ, Eirola, E, Akusok, A, Miche, Y, Björk, KM & Lendasse, A 2018, ELM-SOM: A Continuous Self-Organizing Map for Visualization. in 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. vol. 2018-July, 8489268, Institute of Electrical and Electronics Engineers Inc., 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, 08.07.2018. https://doi.org/10.1109/IJCNN.2018.8489268
  6. Roshan, S, Miche, Y, Akusok, A & Lendasse, A 2018, 'Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines' Journal of the Franklin Institute : Engineering and Applied Mathematics, vol. 355, no. 4, pp. 1752-1779. https://doi.org/10.1016/j.jfranklin.2017.06.006
  7. Leal, LE, Björk, KM, Lendasse, A & Akusok, A 2018, A web page classifier library based on random image content analysis using deep learning. in Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, PETRA 2018. ACM - Association for Computing Machinery, pp. 13-16, 11th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2018, Corfu, Greece, 26.06.2018. https://doi.org/10.1145/3197768.3201525
  8. Akusok, A, Miche, Y, Björk, K-M & Lendasse, A 2018, 'Per-sample prediction intervals for extreme learning machines' International Journal of Machine Learning and Cybernetics, pp. 1-11. https://doi.org/10.1007/s13042-017-0777-2
  9. 2017
  10. Gritsenko, A, Akusok, A, Baek, S, Miche, Y & Lendasse, A 2017, 'Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables' Cognitive Computation, vol. 10, no. 3, pp. 464-477. https://doi.org/10.1007/s12559-017-9537-6
  11. Akusok, A, Eirola, E, Björk, K-M, Miche, Y, Johnson, H & Lendasse, A 2017, Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease. in 10th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2017. vol. Part F128530, ACM - Association for Computing Machinery, pp. 189-192, 10th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2017, Island of Rhodes, Greece, 21.06.2017. https://doi.org/10.1145/3056540.3064945
  12. Akusok, A, Eirola, E, Miche, Y, Oliver, I, Björk, K-M, Gritsenko, A, Baek, S & Lendasse, A 2017, Incremental ELMVIS for Unsupervised Learning. in Proceedings of ELM-2016. Proceedings in Adaptation, Learning and Optimization (PALO), vol. 9, Springer, Cham, pp. 183-193 . https://doi.org/10.1007/978-3-319-57421-9_15
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