Machine learning approach to automated quality identification of human induced pluripotent stem cell colony images H Joutsijoki, M Haponen, J Rasku, K Aalto-Setälä, M Juhola Computational and mathematical methods in medicine 2016, 2016 | 45 | 2016 |
Detection of genetic cardiac diseases by Ca2+ transient profiles using machine learning methods M Juhola, H Joutsijoki, K Penttinen, K Aalto-Setälä Scientific reports 8 (1), 9355, 2018 | 43 | 2018 |
Applying one-vs-one and one-vs-all classifiers in k-nearest neighbour method and support vector machines to an otoneurological multi-class problem K Varpa, H Joutsijoki, K Iltanen, M Juhola User centred networked health care, 579-583, 2011 | 37 | 2011 |
Error-correcting output codes in classification of human induced pluripotent stem cell colony images H Joutsijoki, M Haponen, J Rasku, K Aalto-Setälä, M Juhola BioMed Research International 2016, 2016 | 33 | 2016 |
Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates H Joutsijoki, K Meissner, M Gabbouj, S Kiranyaz, J Raitoharju, J Ärje, ... Ecological Informatics 20, 1-12, 2014 | 33 | 2014 |
Analysis of drug effects on iPSC cardiomyocytes with machine learning M Juhola, K Penttinen, H Joutsijoki, K Aalto-Setälä Annals of Biomedical Engineering 49, 129-138, 2021 | 27 | 2021 |
Comparing the one-vs-one and one-vs-all methods in benthic macroinvertebrate image classification H Joutsijoki, M Juhola Machine Learning and Data Mining in Pattern Recognition: 7th International …, 2011 | 27 | 2011 |
Signal analysis and classification methods for the calcium transient data of stem cell-derived cardiomyocytes M Juhola, K Penttinen, H Joutsijoki, K Varpa, J Saarikoski, J Rasku, ... Computers in Biology and Medicine 61, 1-7, 2015 | 23 | 2015 |
Kernel selection in multi-class support vector machines and its consequence to the number of ties in majority voting method H Joutsijoki, M Juhola Artificial Intelligence Review 40, 213-230, 2013 | 21 | 2013 |
Half-against-half multi-class support vector machines in classification of benthic macroinvertebrate images H Joutsijoki 2012 International Conference on Computer & Information Science (ICCIS) 1 …, 2012 | 16 | 2012 |
Data analytics for cardiac diseases M Juhola, H Joutsijoki, K Penttinen, D Shah, RP Pölönen, K Aalto-Setälä Computers in Biology and Medicine 142, 105218, 2022 | 15 | 2022 |
DAGSVM vs. DAGKNN: an experimental case study with benthic macroinvertebrate dataset H Joutsijoki, M Juhola Machine Learning and Data Mining in Pattern Recognition: 8th International …, 2012 | 15 | 2012 |
Prediction of a state of a subject on the basis of a stabilogram signal and video oculography test J Rasku, H Joutsijoki, I Pyykkö, M Juhola Computer methods and programs in biomedicine 108 (2), 580-588, 2012 | 14 | 2012 |
On classification in the case of a medical data set with a complicated distribution M Juhola, H Joutsijoki, H Aalto, TP Hirvonen Applied Computing and Informatics 10 (1-2), 52-67, 2014 | 13 | 2014 |
Separation of HCM and LQT cardiac diseases with machine learning of Ca2+ transient profiles H Joutsijoki, K Penttinen, M Juhola, K Aalto-Setälä Methods of Information in Medicine 58 (04/05), 167-178, 2019 | 9 | 2019 |
On the influence of training data quality on text document classification using machine learning methods J Saarikoski, H Joutsijoki, K Jarvelin, J Laurikkala, M Juhola International Journal of Knowledge Engineering and Data Mining 3 (2), 143-169, 2015 | 9 | 2015 |
On computation of calcium cycling anomalies in cardiomyocytes data M Juhola, H Joutsijoki, K Varpa, J Saarikoski, J Rasku, K Iltanen, ... 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 9 | 2014 |
Automated benthic macroinvertebrate identification with decision acyclic graph support vector machines H Joutsijoki, M Juhola Proceedings of the 2nd IASTED International Conference Computational …, 2011 | 9 | 2011 |
Classification of iPSC colony images using hierarchical strategies with support vector machines H Joutsijoki, J Rasku, M Haponen, I Baldin, Y Gizatdinova, M Paci, ... 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 86-92, 2014 | 8 | 2014 |
Histogram-based classification of iPSC colony images using machine learning methods H Joutsijoki, M Haponen, I Baldin, J Rasku, Y Gizatdinova, M Paci, ... 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 8 | 2014 |