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ORCIDSami Äyrämö
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2020 – today
- 2024
[i4]Marko Niemelä, Mikaela von Bonsdorff, Sami Äyrämö, Tommi Kärkkäinen:
Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model. CoRR abs/2402.01824 (2024)- 2023
- [j7]Toni Taipalus
, Ville Isomöttönen, Hanna Erkkilä, Sami Äyrämö:
Data Analytics in Healthcare: A Tertiary Study. SN Comput. Sci. 4(1): 87 (2023) - [i3]Ilkka Rautiainen, Lauri Parviainen, Veera Jakoaho, Sami Äyrämö, Jukka-Pekka Kauppi:
Utilizing the International Classification of Functioning, Disability and Health (ICF) in forming a personal health index. CoRR abs/2304.06143 (2023) - 2022
- [j6]Marko Niemelä, Sami Äyrämö, Tommi Kärkkäinen:
Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values. IEEE Access 10: 352-367 (2022) - [i2]Liisa Petäinen, Juha P. Väyrynen, Pekka Ruusuvuori, Ilkka Pölönen, Sami Äyrämö, Teijo Kuopio:
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. CoRR abs/2212.14652 (2022) - 2021
- [j5]Susanne Jauhiainen, Tron Krosshaug, Erich Petushek, Jukka-Pekka Kauppi, Sami Äyrämö:
Information Extraction from Binary Skill Assessment Data with Machine Learning. Int. J. Learn. Anal. Artif. Intell. Educ. 3(1): 20-35 (2021) - 2020
- [j4]Marko Niemelä, Tommi Kärkkäinen, Sami Äyrämö, Miia Ronimus, Ulla Richardson, Heikki Lyytinen:
Game learning analytics for understanding reading skills in transparent writing system. Br. J. Educ. Technol. 51(6): 2376-2390 (2020)
2010 – 2019
- 2019
- [j3]Mirka Saarela, Olli-Pekka Ryynänen, Sami Äyrämö:
Predicting hospital associated disability from imbalanced data using supervised learning. Artif. Intell. Medicine 95: 88-95 (2019) - [j2]Susanne Jauhiainen, Sami Äyrämö, H. Forsman, J.-P. Kauppi:
Talent identification in soccer using a one-class support vector machine. Int. J. Comput. Sci. Sport 18(3): 125-136 (2019) - [i1]Ilkka Rautiainen, Sami Äyrämö:
Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches. CoRR abs/1911.08361 (2019) - 2018
- [c5]Marko Niemelä, Sami Äyrämö, Tommi Kärkkäinen:
Comparison of cluster validation indices with missing data. ESANN 2018 - 2012
- [c4]Pekka Wartiainen, Tommi Kärkkäinen, Anneli Heimbürger, Sami Äyrämö:
Context-Sensitive Approach to Dynamic Visual Analytics of Energy Production Processes. EJC 2012: 15-22 - 2011
- [c3]Ville Tirronen, Sami Äyrämö, Matthieu Weber:
Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution. ICANNGA (1) 2011: 361-370
2000 – 2009
- 2009
- [j1]Timo Aittokoski, Sami Äyrämö, Kaisa Miettinen:
Clustering aided approach for decision making in computationally expensive multiobjective optimization. Optim. Methods Softw. 24(2): 157-174 (2009) - [c2]Markus Pylvänen, Sami Äyrämö, Tommi Kärkkäinen:
Visualizing Time Series State Changes with Prototype Based Clustering. ICANNGA 2009: 619-628 - [c1]Andriy Ivannikov, Mykola Pechenizkiy, Jorn Bakker, Timo Leino, Mikko Jegoroff, Tommi Kärkkäinen, Sami Äyrämö:
Online Mass Flow Prediction in CFB Boilers. ICDM 2009: 206-219
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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