Marko M. Mäkelä

Marko M. Mäkelä

Turun yliopisto

H-index: 28

Europe-Finland

About Marko M. Mäkelä

Marko M. Mäkelä, With an exceptional h-index of 28 and a recent h-index of 19 (since 2020), a distinguished researcher at Turun yliopisto, specializes in the field of Optimization, Convex and Nonconvex Analysis, Nonsmooth Optimization, Multiobjective Optimization, Bundle Methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

Correntropy-Based Constructive One Hidden Layer Neural Network

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

Loading optimization algorithm for solving assembly assignment problem in the final disposal of spent nuclear fuel in Finland

Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression

Stability in Discrete Games with Perturbed Payoffs

Randomized Constructive Neural Network Based on Regularized Minimum Error Entropy

Using projected cutting planes in the extended cutting plane method

Not just the facts: an index for measuring the information density of political communication

Marko M. Mäkelä Information

University

Position

Department of Mathematics and Statistics

Citations(all)

3995

Citations(since 2020)

1218

Cited By

3590

hIndex(all)

28

hIndex(since 2020)

19

i10Index(all)

56

i10Index(since 2020)

27

Email

University Profile Page

Turun yliopisto

Google Scholar

View Google Scholar Profile

Marko M. Mäkelä Skills & Research Interests

Optimization

Convex and Nonconvex Analysis

Nonsmooth Optimization

Multiobjective Optimization

Bundle Methods

Top articles of Marko M. Mäkelä

Title

Journal

Author(s)

Publication Date

Correntropy-Based Constructive One Hidden Layer Neural Network

Algorithms

Mojtaba Nayyeri

Modjtaba Rouhani

Hadi Sadoghi Yazdi

Marko M Mäkelä

Alaleh Maskooki

...

2024/1/22

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

PLOS Computational Biology

Anni S Halkola

Kaisa Joki

Tuomas Mirtti

Marko M Mäkelä

Tero Aittokallio

...

2023/3/10

Loading optimization algorithm for solving assembly assignment problem in the final disposal of spent nuclear fuel in Finland

Nuclear Engineering and Design

Ville-Pekka Eronen

Timo Ranta

Jani AS Huttunen

Marko M Mäkelä

2023/2/1

Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression

Algorithms

Napsu Karmitsa

Sona Taheri

Kaisa Joki

Pauliina Paasivirta

Adil M Bagirov

...

2023/9/14

Stability in Discrete Games with Perturbed Payoffs

Vladimir A Emelichev

Marko M Mäkelä

Yury V Nikulin

2023/7/8

Randomized Constructive Neural Network Based on Regularized Minimum Error Entropy

Mojtaba Nayyeri

Hadi Sadoghi Yazdi

Modjtaba Rouhani

Alaleh Maskooki

Marko M Mäkelä

2023/7/8

Using projected cutting planes in the extended cutting plane method

Optimization

Tapio Westerlund

Ville-Pekka Eronen

Marko M Mäkelä

2022/12/9

Not just the facts: an index for measuring the information density of political communication

Quality & Quantity

Lauri Rapeli

Sakari Nieminen

Marko Mäkelä

2021/10

Aggregate subgradient method for nonsmooth DC optimization

Optimization Letters

Adil M Bagirov

Sona Taheri

Kaisa Joki

Napsu Karmitsa

Marko M Mäkelä

2021/2

On mixed integer nonsmooth optimization

Numerical Nonsmooth Optimization: State of the Art Algorithms

Ville-Pekka Eronen

Tapio Westerlund

Marko M Mäkelä

2020

Clusterwise support vector linear regression

European Journal of Operational Research

Kaisa Joki

Adil M Bagirov

Napsu Karmitsa

Marko M Mäkelä

Sona Taheri

2020/11/16

New multiobjective proximal bundle method with scaled improvement function

Numerical Nonsmooth Optimization: State of the Art Algorithms

Marko M Mäkelä

Outi Montonen

2020

Multiobjective Mixed Integer Nonlinear Model to Plan the Schedule for the Final Disposal of the Spent Nuclear Fuel in Finland

Mathematics

Outi Montonen

Ville-Pekka Eronen

Timo Ranta

Jani AS Huttunen

Marko M Mäkelä

2020/4/3

Hyperparameter-free NN algorithm for large-scale regression problems

Napsu Karmitsa

Sona Taheri

Kaisa Joki

P Mäkinen

Adil Bagirov

...

2020

Numerical Nonsmooth Optimization Introduction

Adil Baghirov

Manlio Gaudioso

Napsu Karmitsa

Marko Mäkelä

Sona Taheri

2020

Numerical nonsmooth optimization

Adil M Bagirov

Manlio Gaudioso

Napsu Karmitsa

Marko M Mäkelä

Sona Taheri

2020

See List of Professors in Marko M. Mäkelä University(Turun yliopisto)

Co-Authors

H-index: 48
Pekka Neittaanmäki

Pekka Neittaanmäki

Jyväskylän yliopisto

H-index: 37
Adil Bagirov

Adil Bagirov

Federation University Australia

H-index: 34
Karl Tapio Westerlund

Karl Tapio Westerlund

Åbo Akademi

H-index: 19
Napsu Karmitsa

Napsu Karmitsa

Turun yliopisto

H-index: 15
Yury Nikulin

Yury Nikulin

Turun yliopisto

H-index: 13
Sona Taheri

Sona Taheri

RMIT University

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