Marko Mäkelä
makela@utu.fi +358 29 450 4311 +358 50 326 4519 Vesilinnantie 5 Turku |
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- Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression (2023)
- Algorithms
- OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer (2023)
- PLoS Computational Biology
- Randomized Constructive Neural Network Based on Regularized Minimum Error Entropy (2023) Impact of Scientific Computing on Science and Society Nayyeri Mojtaba, Yazdi Hadi Sadoghi, Rouhani Modjtaba, Maskooki Alaleh, Mäkelä Marko M.
- Stability in Discrete Games with Perturbed Payoffs (2023) Impact of Scientific Computing on Science and Society Emelichev Vladimir A., Mäkelä Marko M., Nikulin Yury V.
- Using projected cutting planes in the extended cutting plane method (2022)
- Optimization
- Aggregate subgradient method for nonsmooth DC optimization (2021)
- Optimization Letters
- Clusterwise support vector linear regression (2020)
- European Journal of Operational Research
- Hyperparameter-free NN algorithm for large-scale regression problems (2020) Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Mäkinen, Adil M. Bagirov, Marko M. Mäkelä
- Introduction. In: Bagirov A., Gaudioso M., Karmitsa N., Mäkelä M., Taheri S. (eds) Numerical Nonsmooth Optimization: State of the Art Algorithms (2020) Numerical Nonsmooth Optimization: State of the Art Algorithms Bagirov A.M., Gaudioso M., Karmitsa N., Mäkelä M.M., Taheri S.
- Multiobjective Mixed Integer Nonlinear Model to Plan the Schedule for the Final Disposal of the Spent Nuclear Fuel in Finland (2020)
- Mathematics
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