Sami Äyrämö

According to our database, Sami Äyrämö authored at least 17 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Dementia Classification Using Acoustic Speech and Feature Selection.

Marko Niemelä, Mikaela von Bonsdorff, Sami Äyrämö, Tommi Kärkkäinen

CoRR, February, 2025

2024

Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model.

Marko Niemelä, Mikaela von Bonsdorff, Sami Äyrämö, Tommi Kärkkäinen

CoRR, 2024

2023

Data Analytics in Healthcare: A Tertiary Study.

Toni Taipalus, Ville Isomöttönen, Hanna Erkkilä, Sami Äyrämö

SN Comput. Sci., 2023

Utilizing the International Classification of Functioning, Disability and Health (ICF) in forming a personal health index.

Ilkka Rautiainen, Lauri Parviainen, Veera Jakoaho, Sami Äyrämö, Jukka-Pekka Kauppi

CoRR, 2023

2022

Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer.

Liisa Petäinen, Juha P. Väyrynen, Pekka Ruusuvuori, Ilkka Pölönen, Sami Äyrämö, Teijo Kuopio

CoRR, 2022

Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values.

Marko Niemelä, Sami Äyrämö, Tommi Kärkkäinen

IEEE Access, 2022

2021

Information Extraction from Binary Skill Assessment Data with Machine Learning.

Susanne Jauhiainen, Tron Krosshaug, Erich Petushek, Jukka-Pekka Kauppi, Sami Äyrämö

Int. J. Learn. Anal. Artif. Intell. Educ., 2021

2020

Game learning analytics for understanding reading skills in transparent writing system.

Marko Niemelä, Tommi Kärkkäinen, Sami Äyrämö, Miia Ronimus, Ulla Richardson, Heikki Lyytinen

Br. J. Educ. Technol., 2020

2019

Talent identification in soccer using a one-class support vector machine.

Susanne Jauhiainen, Sami Äyrämö, H. Forsman, J.-P. Kauppi

Int. J. Comput. Sci. Sport, 2019

Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches.

Ilkka Rautiainen, Sami Äyrämö

CoRR, 2019

Predicting hospital associated disability from imbalanced data using supervised learning.

Mirka Saarela, Olli-Pekka Ryynänen, Sami Äyrämö

Artif. Intell. Medicine, 2019

2018

Comparison of cluster validation indices with missing data.

Marko Niemelä, Sami Äyrämö, Tommi Kärkkäinen

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2012

Context-Sensitive Approach to Dynamic Visual Analytics of Energy Production Processes.

Pekka Wartiainen, Tommi Kärkkäinen, Anneli Heimbürger, Sami Äyrämö

Proceedings of the Information Modelling and Knowledge Bases XXIV, 2012

2011

Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution.

Ville Tirronen, Sami Äyrämö, Matthieu Weber

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2009

Clustering aided approach for decision making in computationally expensive multiobjective optimization.

Timo Aittokoski, Sami Äyrämö, Kaisa Miettinen

Optim. Methods Softw., 2009

Online Mass Flow Prediction in CFB Boilers.

Andriy Ivannikov, Mykola Pechenizkiy, Jorn Bakker, Timo Leino, Mikko Jegoroff, Tommi Kärkkäinen, Sami Äyrämö

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

Visualizing Time Series State Changes with Prototype Based Clustering.

Markus Pylvänen, Sami Äyrämö, Tommi Kärkkäinen

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009