Napsu Karmitsa - UTU Research Portal

Napsu Karmitsa

- Senior Research Fellow,
Data-analytiikka (Department of Computing)
- Docent,
- Academy Research Fellow,
- Postdoctoral Researcher
- University Teacher
- Research Associate
Applied mathematics (Department of Mathematics and Statistics)

napsu.karmitsa@utu.fi

Vesilinnantie 5

Turku

1 of 3

Limited memory bundle DC algorithm for sparse pairwise kernel learning (2025)
- Journal of Global Optimization
Karmitsa, Napsu; Joki, Kaisa; Airola, Antti; Pahikkala, Tapio
Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (2025)
- Unsupervised and Semi-Supervised Learning
Bagirov, Adil; Karmitsa, Napsu; Taheri, Sona
Stochastic limited memory bundle algorithm for clustering in big data (2025)
- Pattern Recognition
Karmitsa, Napsu; Eronen, Ville-Pekka; Mäkelä, Marko M.; Pahikkala, Tapio; Airola, Antti
Nonsmooth DC optimization support vector machines method for piecewise linear regression (2024)
- Applied and Computational Mathematics
Bagirov, A.M.; Taheri, S.; Karmitsa, N.; Joki, K.; Mäkelä, M.M.
Predicting pairwise interaction affinities with ℓ0-penalized least squares-a nonsmooth bi-objective optimization based approach∗ (2024)
- Optimization Methods and Software
Paasivirta Pauliina, Numminen Riikka, Airola Antti, Karmitsa Napsu, Pahikkala Tapio
Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems (2023)
- Algorithms
Gaudioso Manlio, Taheri Sona, Bagirov Adil M., Karmitsa Napsu
Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression (2023)
- Algorithms
Karmitsa Napsu, Taheri Sona, Joki Kaisa, Paasivirta Pauliina, Bagirov Adil M., Mäkelä Marko M.
Limited Memory Bundle Method for Clusterwise Linear Regression (2022) Computational Sciences and Artificial Intelligence in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges Karmitsa Napsu, Bagirov Adil M., Taheri Sona, Joki Kaisa
Missing Value Imputation via Clusterwise Linear Regression (2022)
- IEEE Transactions on Knowledge and Data Engineering
Karmitsa Napsu, Taheri Sona, Bagirov Adil, Mäkinen Pauliina
Robust piecewise linear L1-regression via nonsmooth optimization in data sets with outliers (2022)
- Optimization Methods and Software
Adil M. Bagirov, Sona Taheri, Napsu Karmitsa, Nargiz Sultanova, Soodabeh Asadi
Aggregate subgradient method for nonsmooth DC optimization (2021)
- Optimization Letters
Bagirov Adil M., Taheri Sona, Joki Kaisa, Karmitsa Napsu, Mäkelä Marko M.
Clusterwise support vector linear regression (2020)
- European Journal of Operational Research
Joki Kaisa, Bagirov Adil M., Karmitsa Napsu, Mäkelä Marko M., Taheri Sona
Discrete Gradient Methods (2020) Numerical Nonsmooth Optimization: State of the Art Algorithms Bagirov A.M., Taheri S., Karmitsa N.
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.
Limited Memory Bundle Method and Its Variations for Large-Scale Nonsmooth Optimization (2020) Numerical Nonsmooth Optimization: State of the Art Algorithms Karmitsa N.
Numerical Nonsmooth Optimization: State of the Art Algorithms (2020) Adil M. Bagirov, Manlio Gaudioso, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri
Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (2020) A. Bagirov, N. Karmitsa, S. Taheri
Special Issue "Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov": Foreword by Guest Editors (2020)
- Algorithms
Napsu Karmitsa, Sona Taheri
A New Subgradient Based Method for Nonsmooth DC Programming (2019) Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä