Napsu Karmitsa
napsu.karmitsa@utu.fi Vesilinnantie 5 Turku |
Publications 
1 of 3
- Limited memory bundle DC algorithm for sparse pairwise kernel learning (2025)
- Journal of Global Optimization
(A1 Refereed original research article in a scientific journal) - Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (2025)
- Unsupervised and Semi-Supervised Learning
(C1 Refereed scientific book) - Stochastic limited memory bundle algorithm for clustering in big data (2025)
- Pattern Recognition
(A1 Refereed original research article in a scientific journal) - Nonsmooth DC optimization support vector machines method for piecewise linear regression (2024)
- Applied and Computational Mathematics
(A1 Refereed original research article in a scientific journal) - Predicting pairwise interaction affinities with ℓ0-penalized least squares-a nonsmooth bi-objective optimization based approach∗ (2024)
- Optimization Methods and Software
(A1 Refereed original research article in a scientific journal) - Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems (2023)
- Algorithms
(A1 Refereed original research article in a scientific journal) - Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression (2023)
- Algorithms
(A1 Refereed original research article in a scientific journal) - 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
(A3 Refereed book chapter or chapter in a compilation book) - Missing Value Imputation via Clusterwise Linear Regression (2022)
- IEEE Transactions on Knowledge and Data Engineering
(A1 Refereed original research article in a scientific journal) - Robust piecewise linear L1-regression via nonsmooth optimization in data sets with outliers (2022)
- Optimization Methods and Software
(A1 Refereed original research article in a scientific journal) - Aggregate subgradient method for nonsmooth DC optimization (2021)
- Optimization Letters
(A1 Refereed original research article in a scientific journal) - Clusterwise support vector linear regression (2020)
- European Journal of Operational Research
(A1 Refereed original research article in a scientific journal) - Discrete Gradient Methods (2020) Numerical Nonsmooth Optimization: State of the Art Algorithms Bagirov A.M., Taheri S., Karmitsa N.
(A3 Refereed book chapter or chapter in a compilation book) - Hyperparameter-free NN algorithm for large-scale regression problems (2020) Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Mäkinen, Adil M. Bagirov, Marko M. Mäkelä
(D4 Published development or research report or study ) - 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.
(B2 Non-refereed book chapter or chapter in a compilation book) - Limited Memory Bundle Method and Its Variations for Large-Scale Nonsmooth Optimization (2020) Numerical Nonsmooth Optimization: State of the Art Algorithms Karmitsa N.
(A3 Refereed book chapter or chapter in a compilation book) - Numerical Nonsmooth Optimization: State of the Art Algorithms (2020) Adil M. Bagirov, Manlio Gaudioso, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri
(C2 Editorial work for a scientific compilation book) - Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (2020) A. Bagirov, N. Karmitsa, S. Taheri
(C1 Refereed scientific book) - Special Issue "Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov": Foreword by Guest Editors (2020)
- Algorithms
(B1 Non-refereed article in a scientific journal) - A New Subgradient Based Method for Nonsmooth DC Programming (2019) Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä
(D4 Published development or research report or study )
UTU Research Portal