Visualizing Time Series State Changes with Prototype Based Clustering. - Markus Pylvänen; Sami Äyrämö; Tommi Kärkkäinen (ICANNGA, 2009)

Online Mass Flow Prediction in CFB Boilers. - Andriy Ivannikov; Mykola Pechenizkiy; Jorn Bakker; Timo Leino; Mikko Jegoroff; Tommi Kärkkäinen; Sami Äyrämö (ICDM, 2009)

Clustering aided approach for decision making in computationally expensive multiobjective optimization. - Timo Aittokoski; Sami Äyrämö; Kaisa Miettinen (Optim. Methods Softw., 2009)

Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution. - Ville Tirronen; Sami Äyrämö; Matthieu Weber (ICANNGA (1), 2011)

Context-Sensitive Approach to Dynamic Visual Analytics of Energy Production Processes. - Pekka Wartiainen; Tommi Kärkkäinen; Anneli Heimbürger; Sami Äyrämö (EJC, 2012)

Comparison of cluster validation indices with missing data. - Marko Niemelä; Sami Äyrämö; Tommi Kärkkäinen (ESANN, 2018)

Predicting hospital associated disability from imbalanced data using supervised learning. - Mirka Saarela; Olli-Pekka Ryynänen; Sami Äyrämö (Artif. Intell. Medicine, 2019)

Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches. - Ilkka Rautiainen; Sami Äyrämö (CoRR, 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)

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)

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)

Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values. - Marko Niemelä; Sami Äyrämö; Tommi Kärkkäinen (IEEE Access, 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)

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)

Data Analytics in Healthcare: A Tertiary Study. - Toni Taipalus; Ville Isomöttönen; Hanna Erkkilä; Sami Äyrämö (SN Comput. Sci., 2023)

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)

Dementia Classification Using Acoustic Speech and Feature Selection. - Marko Niemelä; Mikaela von Bonsdorff; Sami Äyrämö; Tommi Kärkkäinen (CoRR, 2025)