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Henry Joutsijoki
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2020 – today
- 2024
- [j18]Rasmus Ryyppö
, Sergei Häyrynen, Henry Joutsijoki, Martti Juhola
Comparison of machine learning methods in the early identification of vasculitides, myositides and glomerulonephritides. Comput. Methods Programs Biomed. 243: 107917 (2024) - 2023
- [c13]Henry Joutsijoki, Markus Haponen, Katriina Aalto-Setälä, Martti Juhola:
A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony. CIBCB 2023: 1-7 - [c12]Henry Haverinen
Information-Centric Adoption and Use of Standard Compliant DevSecOps for Operational Technology: From Experience to Design Principles. ICSOB 2023: 400-415 - 2022
- [j17]Martti Juhola, Henry Joutsijoki, Kirsi Penttinen, Disheet Shah
Data analytics for cardiac diseases. Comput. Biol. Medicine 142: 105218 (2022) - [j16]Martti Juhola
A method to measure data complexity of a complicated medical data set. Int. J. Imaging Syst. Technol. 32(6): 1822-1831 (2022) - [c11]Martti Juhola, Henry Joutsijoki, Risto-Pekka Pölönen, Katriina Aalto-Setälä:
Machine Learning of Drug Influence Based on iPSC Cardiomyocyte Calcium Transient Signals. CinC 2022: 1-3 - 2021
- [j15]Martti Juhola
On computational classification of genetic cardiac diseases applying iPSC cardiomyocytes. Comput. Methods Programs Biomed. 210: 106367 (2021)
2010 – 2019
- 2019
- [j14]Henry Joutsijoki, Jyrki Rasku, Ilmari Pyykkö, Martti Juhola:
Classification of patients and controls based on stabilogram signal data. Intell. Data Anal. 23(1): 215-226 (2019) - 2018
- [j13]Xingan Li
GDP growth vs. criminal phenomena: data mining of Japan 1926-2013. AI Soc. 33(2): 261-274 (2018) - 2017
- [c10]Xingan Li
Development of crime in England and Wales 1898-2001: Data mining using self-organising map. SSCI 2017: 1-8 - 2016
- [j12]Jyrki Rasku, Marisa Ojala
A software tool for studying the size and shape of human cardiomyocytes. Biomed. Signal Process. Control. 30: 134-139 (2016) - [j11]Henry Joutsijoki
Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images. Comput. Math. Methods Medicine 2016: 3091039:1-3091039:15 (2016) - 2015
- [j10]Xingan Li
Homicide and Its Social Context: Analysis Using the Self-Organizing Map. Appl. Artif. Intell. 29(4): 382-401 (2015) - [j9]Henry Joutsijoki, Markku Siermala, Martti Juhola:
Directed acyclic graph support vector machines in classification of benthic macroinvertebrate samples. Artif. Intell. Rev. 44(2): 215-233 (2015) - [j8]Martti Juhola
Signal analysis and classification methods for the calcium transient data of stem cell-derived cardiomyocytes. Comput. Biol. Medicine 61: 1-7 (2015) - [j7]Jyri Saarikoski, Henry Joutsijoki, Kalervo Järvelin, Jorma Laurikkala, Martti Juhola:
On the influence of training data quality on text document classification using machine learning methods. Int. J. Knowl. Eng. Data Min. 3(2): 143-169 (2015) - [j6]Xingan Li, Henry Joutsijoki, Jorma Laurikkala, Martti Juhola:
Crime vs. demographic factors revisited: Application of data mining methods. Webology 12(1) (2015) - 2014
- [j5]Henry Joutsijoki, Kristian Meissner
Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates. Ecol. Informatics 20: 1-12 (2014) - [j4]Henry Joutsijoki:
Half-Against-Half Structure with SVM and k-NN Classifiers in Benthic Macroinvertebrate Image Classification. J. Comput. 9(2): 454-462 (2014) - [c9]Henry Joutsijoki, Jyrki Rasku, Markus Haponen, Ivan Baldin, Yulia Gizatdinova, Michelangelo Paci, Jyri Saarikoski, Kirsi Varpa, Harri Siirtola, Jorge Avalos-Salguero, Kati Iltanen, Jorma Laurikkala, Kirsi Penttinen, Jari A. K. Hyttinen
Classification of iPSC colony images using hierarchical strategies with support vector machines. CIDM 2014: 86-92 - [c8]Martti Juhola, Henry Joutsijoki, Kirsi Varpa, Jyri Saarikoski, Jyrki Rasku, Kati Iltanen, Jorma Laurikkala, Heikki Hyyrö, Jorge Avalos-Salguero, Harri Siirtola, Kirsi Penttinen, Katriina Aalto-Setälä:
On computation of calcium cycling anomalies in cardiomyocytes data. EMBC 2014: 1444-1447 - [c7]Yulia Gizatdinova, Jyrki Rasku, Markus Haponen, Henry Joutsijoki, Ivan Baldin, Michelangelo Paci, Jari A. K. Hyttinen
Investigating local spatially-enhanced structural and textural descriptors for classification of iPSC colony images. EMBC 2014: 3361-3365 - [c6]Henry Joutsijoki, Markus Haponen, Ivan Baldin, Jyrki Rasku, Yulia Gizatdinova, Michelangelo Paci, Jari A. K. Hyttinen
Histogram-based classification of iPSC colony images using machine learning methods. SMC 2014: 2611-2617 - 2013
- [j3]Martti Juhola
The Classification of Valid and Invalid Beats of Three-Dimensional Nystagmus Eye Movement Signals Using Machine Learning Methods. Adv. Artif. Neural Syst. 2013: 972412:1-972412:11 (2013) - [j2]Henry Joutsijoki, Martti Juhola:
Kernel selection in multi-class support vector machines and its consequence to the number of ties in majority voting method. Artif. Intell. Rev. 40(3): 213-230 (2013) - [c5]Henry Joutsijoki, Kirsi Varpa, Kati Iltanen, Martti Juhola:
Machine learning approach to an otoneurological classification problem. EMBC 2013: 1294-1297 - [c4]Henry Joutsijoki:
Half-against-half structure in classification of benthic macroinvertebrate images. EMBC 2013: 3646-3649 - 2012
- [b1]Henry Joutsijoki:
Variations on a Theme: The Classification of Benthic Macroinvertebrates. University of Tampere, Finland, 2012 - [j1]Jyrki Rasku, Henry Joutsijoki, Ilmari Pyykkö, Martti Juhola:
Prediction of a state of a subject on the basis of a stabilogram signal and video oculography test. Comput. Methods Programs Biomed. 108(2): 580-588 (2012) - [c3]Henry Joutsijoki, Martti Juhola:
DAGSVM vs. DAGKNN: An Experimental Case Study with Benthic Macroinvertebrate Dataset. MLDM 2012: 439-453 - 2011
- [c2]Kirsi Varpa, Henry Joutsijoki, Kati Iltanen, Martti Juhola:
Applying One-vs-One and One-vs-All Classifiers in k-Nearest Neighbour Method and Support Vector Machines to an Otoneurological Multi-Class Problem. MIE 2011: 579-583 - [c1]Henry Joutsijoki, Martti Juhola:
Comparing the One-vs-One and One-vs-All Methods in Benthic Macroinvertebrate Image Classification. MLDM 2011: 399-413
Coauthor Index
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