Go to Header Go to Main Navigation Go to Content Go to Footer

Paavo Nieminen

Henkilökunnan yhteystiedot saatavilla yliopiston yhteystietohausta.

ORCID-linkki: http://orcid.org/0000-0002-3581-3736

Aktiiviset JYU-affiliaatiot

Informaatioteknologian tiedekunta, Yliopistonlehtori

Aiemmat tai muut työsuhteet

Paavo Nieminen, Informaatioteknologian tiedekunta (Jyväskylän yliopisto), Yliopistonopettaja

Tieteenalat

113 Tietojenkäsittely- ja informaatiotieteet (Luonnontieteet)

Julkaisut

Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine? (2020) Linja, Joakim; et al.; A1; OA
Exploring Creativity Expectation in CS1 Students’ View of Programming (2020) Isomöttönen, Ville; et al.; A4; OA; 9781728189611
Incorporating teacher-student dialogue into digital course material : Usage patterns and first experiences (2020) Tirronen, Ville; et al.; A4; OA; 9781728189611
Monte Carlo Simulations of Au38(SCH3)24 Nanocluster Using Distance-Based Machine Learning Methods (2020) Pihlajamäki, Antti; et al.; A1; OA
A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles (2019) Malola, Sami; et al.; A1; OA
How do Academics Experience Use of Recorded Audio Feedback in Higher Education? : A Thematic Analysis (2018) Heimbürger, Anneli; et al.; A4; OA
Semi-automatic literature mapping of participatory design studies 2006--2016 (2018) Tuhkala, Ari; et al.; A4
Cell Degradation Detection based on an Inter-Cell Approach (2017) Asghar, Muhammad; et al.; A1; OA
Towards Proactive Context-Aware Self-Healing for 5G Networks (2017) Asghar, Muhammad; et al.; A1; OA
Multicriteria optimized MLP for imbalanced learning (2016) Nieminen, Paavo; et al.; A4; OA
Multilayer perceptron training with multiobjective memetic optimization (2016) Nieminen, Paavo; G4; OA
Research literature clustering using diffusion maps (2013) Nieminen, Paavo; et al.; A1; OA
Neural prediction of product quality based on pilot paper machine process measurements (2011) Nieminen, Paavo; et al.; A4
A beamforming framework for detection of underwater sound-emitting objects using acoustic sensor arrays (2010) Ivannikov, Andriy; et al.; D4
Applications of dimension reduction, classification, and neural prediction for industrial process data (2010) Averbuch, Amir; et al.; D4
Comparison of MLP Cost Functions to Dodge Mislabeled Training Data (2010) Nieminen, Paavo; et al.; A4
Robust clustering and neural network training with dimension reduction for industrial use (2010) Nieminen, Paavo; et al.; D4
Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping (2009) Nieminen, Paavo; et al.; A4