To page body
university of tampere: sis/luo-coms: research: cis - the tampere research center for information and systems: research groups: darg:
Faculties of Natural and Communication SciencesUniversity of TampereFaculties of Natural and Communication Sciences
CIS - The Tampere Research Center for Information and Systems

        2017

  • I. Pyykkö, V. Manchaiah, H. Levo, E. Kentala and M. Juhola: Internet-based peer support for Meniere’s disease: a summary of web-based data collection, impact evaluation, and user evaluation, International Journal of Audiology, 56, 447-457, 2017. http://www.tandfonline.com/doi/full/10.1080/14992027.2017.1282631

    Y. Zhang and M. Juhola: On biometrics with eye movements, IEEE Journal of Biomedical and Health Informatics, 21(5), 1360-1366, September 2017. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7448827

    K. Varpa, K. Iltanen, M. Siermala and M. Juhola: Attribute weighting with Scatter method and instance-based learning methods evaluated with otoneurological data.  International Journal of Data Science, 2(3), 173-204. http://www.inderscience.com/offer.php?id=86257
     
    H. Joutsijoki and M. Juhola: A comparison of classification methods in automated taxa identification of benthic macroinvertebrates, International Journal of Data Science, 2(4), 273-300, 2017.

    X. Li, H. Joutsijoki, J. Laurikkala and M. Juhola: Development of crime in England and Wales 1898-2001: Data mining using self-organising map. Proceedings of the 2017 IEEE Symposium of Computational Intelligence and Data Mining (CIDM 2017), 27.11.-1.12.2017, Honolulu, Hawaii, USA, pp. 1320-1327.

      

        2016

  • M. Juhola, K. Penttinen, H. Joutsijoki, K. Varpa, J. Saarikoski, J. Rasku, H. Siirtola, K. Iltanen, J. Laurikkala, H. Hyyrö, J. Hyttinen and K. Aalto-Setälä: Computer analysis of calcium cyclings of stem cell-derived cardiomyocytes, (based on the article in Computers in Biology and Medicine, 6, 1-7, 2015), Atlas of Science, January 24, 2016. http://atlasofscience.org/computer-analysis-of-calcium-cyclings-of-stem-cell-derived-cardiomyocytes/
  • Y. Zolotavkin and M. Juhola: A new scalar quantization method with initial data loss, Journal of Electrical and Computer Engineering, vol. 16, art. ID 9029745, 16 p., 2016. http://www.hindawi.com/journals/jece/2016/9029745/
  • K. Kartasalo, R.-P. Pölönen, M. Ojala, J. Rasku, J. Lekkala, K. Aalto-Setälä and P. Kallio: CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels. BMC Bioinformatics 16, 344, 2015. http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0782-y
  • J. Rasku, M. Ojala, R.-P. Pölönen, H. Joutsijoki, J. Kuosmanen, J. Laurikkala, K. Kartasalo, K. Aalto-Setälä and M. Juhola: Application for studying size and orientation of human cardiomyocytes, Biomedical Signal Processing and Control, 30, 134-139, 2016.
  • H. Joutsijoki, M. Haponen, J. Rasku. K. Aalto-Setälä and M. Juhola: Machine learning approach to automated quality identification of human induced pluripotent stem cell colony images, Computational and Mathematical Methods in Medicine, Article ID 3091039, 15 p., 2016 (Hindawi). http://dx.doi.org/10.1155/2016/3091039
  • H. Joutsijoki, M. Haponen, J. Rasku, K. Aalto-Setälä and M. Juhola: Error-Correcting Output Codes in Classification of Human Induced Pluripotent Stem Cell Colony Images, BioMed Research International, Article ID 3025057, 13 p., 2016 (Hindawi). http://dx.doi.org/10.1155/2016/3025057


        2015

  • M. Juhola and T. Grönfors: Variable importance evaluation for machine learning tasks, Chapter 29, Encyclopedia of Information Science and Technology, third edition, ed. M. Khosrow-Pour, IGI Global, 2015, 306-313.
  • M. Juhola, K. Penttinen, H. Joutsijoki, K. Varpa, J. Saarikoski, J. Rasku, H. Siirtola, K. Iltanen, J. Laurikkala, H. Hyyrö, J. Hyttinen and K. Aalto-Setälä: Signal analysis and classification methods for calcium transient data of stem cell derived cardiomyocytes, Computers in Biology and Medicine, 61, 1-7, 2015. http://dx.doi.org/10.1016/j.compbiomed.2015.03.016

  • X. Li, H. Joutsijoki, J. Laurikkala, M. Siermala and M. Juhola:   Homicide and its social context: analysis using the self-organizing map, Applied Artificial Intelligence, 29(4), 382-401.http://www.tandfonline.com/doi/full/10.1080/08839514.2015.1016774#.VTUW6mOAm1Y

  • X. Li and M. Juhola: Country crime analysis using the self-organizing map, with special regard to economic factors, International Journal of Data Mining, Modelling and Management, 7(2), 130-153, 2015.
  • I. Pyykkö, V. Manchaiah, H. Levo, Kentala and J. Rasku: Attitudes of significant others of people with Ménière's disease vary from coping to victimization, International Journal of Audiology, 54(5), 316-322, 2015. http://informahealthcare.com/doi/abs/10.3109/14992027.2014.989547
  • H. Joutsijoki, M. Siermala and M. Juhola: Directed acyclic graph support vector machines in classification of benthic macroinvertebrate samples, Artificial Intelligence Review, 44(2), 2015, 215-233DOI 10.1007/s10462-014-9425-3
  • X. Li, H. Joutsijoki, J. Laurikkala and M. Juhola: Crime vs. demographic factors revisited: Application of data mining methods, Webology, 12(1), 2015, Article 132, 1-19. http://www.webology.org/2015/v12n1/a132.pdf

  • Y. Zolotavkin and M. Juhola: A new two-dimensional quantization method for digital image watermarking, IEEE International Conference on Advanced Communications Technology (ICACT´15), July 2-3, 2015, Korea, 155-160.

  • J. Saarikoski, H. Joutsijoki, K. Järvelin, J. Laurikkala and M. Juhola: On the influence of training data quality on text document classification using machine learning methods, International Journal of Knowledge Engineering and Data Mining, 3(2), 2015, 143-169.

  • Y. Zhang, J. Laurikkala and M. Juhola: Biometric verification with eye movements: results from a long-term recording series, IET Biometrics, 4(3), 162-168, September 2015. http://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2014.0044;jsessionid=7or5l70mrqtks.x-iet-live-01

  • J. Rasku, I. Pyykkö. H. Levo, E. Kentala and V. Manchaiah: Disease profiling for computerized peer support of Meniere's disease, JMIR Rehabilitation and Assistive Technologies, 2(2), e9, 12 p., 2015. http://rehab.jmir.org/2015/2/e9/
  • K. Penttinen, H. Siirtola, J. Avalos-Salguero, T. Vainio, M. Juhola and K. Aalto-Setälä: A novel analysis software for detecting and classifying Ca2+ transient abnormalitites in stem cell -derived cardiomyocytes, Plos ONE, 10(8): e0135806, 2015. DOI:10.1371/journal.pone.0135806

  • M. Juhola, K. Penttinen, H. Joutsijoki, K. Varpa, J. Saarikoski, J. Rasku, H. Siirtola, K. Iltanen, J. Laurikkala, H. Hyyrö, J. Hyttinen and K. Aalto-Setälä: A feature for our acticle ‘Signal analysis and classification methods for the calcium transient data of stem cell-derived cardiomyocytes’ (in Computers in Biology and Medicine, 6, 1-7, 2015), Global Medical Discovery, October 5, 2015. https://globalmedicaldiscovery.com/key-stem-cells-research-articles/signal-analysis-and-classification-methods-for-the-calcium-transient-data-of-stem-cell-derived-cardiomyocytes/
  • K. Kartasalo, R.-P. Pölönen, M. Ojala, J. Rasku, J. Lekkala, K. Aalto-Setälä and P. Kallio: CytoSpectre: a toll for spectral analysis of oriented structures on cellular and subcellular levels, BMC Bioinformatics, 16:344, 2015. DOI 10.1186/s12859-015-0782-y

  • M. Ojala, C. Prajapati, R.-P. Pölönen, K. Rajala, M. Pekkanen-Mattila, J. Rasku, K. Larsson and K. Aalto-Setälä: Mutation-Specific Phenotypes in hiPSC-Derived Cardiomyocytes Carrying Either Myosin-Binding Protein C Or α-Tropomyosin Mutation for Hypertrophic Cardiomyopathy. Stem Cells International, Article ID 1684792, pp. 1-16, 2015. http://www.hindawi.com/journals/sci/aa/1684792/ref/
  • M. Rantanen and M. Juhola: Speeding up probabilistic roadmap planners with locality-sensitive hashing, Robotica, 33(7), 1491-1508, 2015. DOI: http://dx.doi.org/10.1017/S0263574714000873

2014

  • E. Tuunainen, J. Rasku, P. Jäntti and I. Pyykkö: Risk factors of falls in community dwelling active elderly, Auris Nasus Larynx, 41, 10-16, 2014.

  • X. Li and M. Juhola: Country crime analysis using the self-organizing map, with special regard to demographic factors, Artificial Intelligence & Society, 29(1), 53-68, 2014.

  • H. Joutsijoki, K. Meissner, M. Gabbouj, S. Kiranyaz, J. Raitoharju, J. Ärje, S. Kärkkäinen. V. Tirronen, T. Turpeinen and M. Juhola: Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates, Ecological Informatics, 20, 1-12, 2014.

  • H. Joutsijoki: Half-against-half structure with SVM and k-NN classifiers in benthic macroinvertebrate image classification, Journal of Computers, 9(2), 454-462, 2014.

  • Y. Zhang, J. Laurikkala and M. Juhola: Biometric verification of a subject with eye movements, with special reference to temporal variability in saccades between a subject’s measurements, International Journal of Biometrics, 6(1), 75-94, 2014.

  • J. Saarikoski, J. Laurikkala, K. Järvelin, M. Siermala and M. Juhola: Dimensionality reduction in text classification using scatter method, International Journal of Data Mining, Modelling and Management, 6(1), 1-21, 2014.
  • M. Juhola, H. Joutsijoki, H. Aalto and T.P. Hirvonen: On classification in the case of a medical data set with a complicated distribution, Applied Computing and Informatics, 10, 52-67, 2014.  http://dx.doi.org/10.1016/j.aci.2014.03.001
  • M. Rantanen and M. Juhola: Using probabilistic roadmaps in changing environments, Computer Animation and Virtual Worlds, 25(1), 17-31, 2014.
  • Y. Zhang and M. Juhola: Biometric verification of a user based on eye movements, International Journal of Biometrics, 6(2), 106-124, 2014.
  • X. Li and M. Juhola: Application of the self-organizing map to visualization of and Exploration to historical development of criminal phenomena in the United States, 1960-2007, International Journal of Society Systems Science, International Journal of Society Systems Science, 6(2), 120-142, 2014.

  • S. Ketola, H. Levo, J. Rasku, I. Pyykkö and E. Kentala: The sense of coherence in patients with Menière's disease, Auris Nasus Larynx, 41(3), 244-248, 2014.
  • H. Siirtola, J. Àvalos-Salguero, K. Penttinen, K. Aalto-Setälä and M. Juhola: Interactive biosignal analysis and classification, 18th International Conference on Information Visualzation (11th International Conference BioMedical Visualization), 15-18 Juluy, 2014, Paris, France, IEEE, 327-332.

  • M. Juhola, H. Joutsijoki, K. Varpa, J. Saarikoski, J. Rasku, K. Iltanen, J. Laurikkala, H. Hyyrö, J. Ávalos- Salguero, H. Siirtola, K. Penttinen and K. Aalto-Setälä: On computation of calcium cycling anomalies in cardiomyocytes data, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2014), 26-30 August, 2014, Chicago, Illinois, USA, IEEE, 1444-1447.
  • Y. Gizatdinova, J. Rasku, M. Haponen, H. Joutsijoki, I. Baldin, M. Paci, J. Hyttinen, K. Aalto-Setälä and M. Juhola: Investigating local spatially-enhanced structural and textural descriptors for classification of iPSC colony images, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2014), 26-30 August, 2014, Chicago, Illinois, USA, IEEE, 3361-3365.
  • M. Juhola, H. Aalto and T.P. Hirvonen: Two-dimensional signal analysis reduced from three-dimensional nystagmus eye movements, Medical Informatics Europe 2014, 31 August – 3 September, 2014, Istanbul, Turkey, Proceedings of MIE2014, European Federation for Medical Informatics and IOSPress, 1148-1152.
  • K. Varpa, K. Iltanen and M. Juhola: Genetic algorithm based approach in attribute weighting for a medical data set, Journal of Computational Medicine (Hindawi Publishing Corporation), 2014, Article ID 526801, 11 p.
  • Y. Zolotavkin and M. Juhola: A new QIM-based watermarking method robust to gain attacks, International Journal of Digital Multimedia Broadcasting (Hindawi Publishing Corporation), 2014, Article ID 910808, 14 p.
  • H. Joutsijoki, M. Haponen, I. Baldin, J. Rasku, Y. Gizatdinova, M. Paci, J. Hyttinen, K. Aalto-Setälä and M. Juhola: Histogram-based classification of iPSC colony images using machine learning methods, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC2014), San Diego, CA, USA, 2641-2647.
  • M. Rantanen and M. Juhola: How to construct small probabilistic roadmaps with a good coverage? Advanced Robotics, 28(22), 1519-1531, 2014. http://dx.doi.org/10.1080/01691864.2014.967722
  • Y. Zolotavkin and M. Juhola: Quantization based watermarking approach with gain attack recovery, 2014 International Conference on Digital Image Computing: Techniques & Applications (DICTA), Wollogong, Australia, 25-27 November 2014, IEEE (CFP14397-ART), 20-27.
  • H. Joutsijoki, J. Rasku, M. Haponen, I. Baldin, Y. Gizatdinova, M. Paci, J. Saarikoski, K. Varpa, H. Siirtola, J. Ávalos-Salguero, K. Iltanen, J. Laurikkala, K. Penttinen, J. Hyttinen, K. Aalto-Setälä and M. Juhola: Classification of iPSC colony images using hierarchical strategies with support vector machines, 2014 IEEE Symposium on Computational Intelligence and Data Mining (IEEE SSCI 2014), 9.-12.12.2014, Orlando, FL, USA.

  • H. Levo, E. Kentala, J. Rasku and I. Pyykkö: Aural fullness in Meniere's disease, Audiology & Neurotology, 19, 395-399, 2014.

2013

  • M. Juhola, Y. Zhang and J. Rasku: Biometric verification of a subject through eye movements, Computers in Biology and Medicine, 43(1), 42-50, 2013.
  • Y. Zolotavkin and M. Juhola: An SVD-based transparent watermarking method, The International Conference on E-Technologies and Businees on the Web (EBW2013),  May 7-9, 2013, Bangkok, Thailand, IEEE, 85-90.
  • Y. Zolotavkin and M. Juhola: A new blind SVD-based watermarking method with adaptation, 2013 International Conference on Sensor network Society Technology and Privacy Communication System (SNS & PCS 2013), May 18-19, 2013, Harbin, China, IEEE, 184-192.
  • H. Joutsijoki, K. Varpa, K. Iltanen and M. Juhola: Machine Learning Approach to an Otoneurological Classification Problem, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBS), Osaka, Japan, July 3-7, 2013, 1294-1297.
  • H. Joutsijoki: Half-against-half structure in classification of benthic macroinvertebrate images, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBS), Osaka, Japan, July 3-7, 2013, 3646-3649.
  • Y. Zhang and M. Juhola: On applying signals of saccade eye movements for biometric verification of a subject, 8th International Conference on Mass Data Analysis of Images and Signals (MDA 2013), New York, USA, July 13-16, 2013, Springer, 78-92. Next best paper in the best paper competition.
  • Y. Zolotavkin and M. Juhola: SVD-based digital image watermarking on approximate orthogonal matrix, 10th International Conference on Security and Cryptography (SECRYPT 2013), July 29-31, 2013, Reykjavik, Iceland, SCITEPRESS, 321-330.
  • X. Li and M. Juhola: Crime and its social context: analysis using the self-organizing maps, European Intelligence and Security Informatics Conference (EISIC) 2013, August 12-14, 2013, Uppsala, Sweden, IEEE Computer Society, 121-124.
  •  K. Iltanen, S. Kiviharju, L. Ao, M. Juhola and I. Pyykkö: Clustering and summarising association rules mined from phenotype, genotype and environmental data concerning age-related hearing impairment, Proceedings of the 14th World Congress on Medical and Health Informatics (MedInfo2013), Copenhagen, Denmark, 20-23 August, 2013, C. U. Lehmann et al. (Eds.), IMIA and IOS Press, 452-456.
  • H. Joutsijoki and M. Juhola: Kernel selection in multi-class support vector machines and its consequence to the number of ties in majority voting method, Artificial Intelligence Review, 40(3), 213-230, 2013.
  • M. Juhola and J. Laurikkala: Missing values: How many can they be to preserve classification reliability? Artificial Intelligence Review, 40(3), 231-245, 2013.
  • J.-P. Skön, M. Rönkkö, M. Raatikainen, M. Juhola, K. Främling and M. Kolehmainen: Research on computational intelligence for co-learning enabled healthy and sustainable housing, Advances in Control Engineering (ACE-2013), Istanbul, Turkey, 5-7 September, 2013, Scientific Cooperations, Ankara, Turkey, 80-86.
  • E. Tuunainen, J. Rasku, P. Jäntti, P. Moisio-Vilenius, E. Mäkinen, E. Toppila and I. Pyykkö: Postural stability and quallity of life after guided and self-training among older adults residing in an institutional setting, Clinical Interventions in aging, 8, 1237-1246, 2013.
  • E. Tuunainen, P. Jäntti, I. Pyykkö, J. Rasku, P. Moisio-Vilenius, E. Mäkinen and E. Toppila: Intervention to prevent falls in elderly adults living in a residential home, Journal of the American Geriatrics Society, 61(8), 1426-1427, 2013.
  • H. Levo, E. Kentala, J. Rasku and I. Pyykkö: Fatigue in Ménière’s disease, Hearing, Balance and Communication, 11 (4), 191-197, 2013.
  • H. Joutsijoki: An Application of One-vs-One Method in Automated Taxa Identification of Macroinvertebrates. Proceedings of 2013 Fourth Global Congress on Intelligent Systems: IEEE, 125-130, 2013.
  • M. Juhola, H. Aalto, H. Joutsijoki and T.P. Hirvonen: The classification of valid and invalid beats of three-dimensional nystagmus eye movement signals using machine learning methods, Advances in Artificial Neural Systems, Article ID 972412, 11 p., 2013. http://dx.doi.org/10.1155/2013/972412

2012

  • M. Rantanen and M. Juhola: A configuration deactivation algorithm for boosting probabilistic roadmap planning of robots, International Journal of Automation and Computing, 9(2), 155-164, 2012.
  • M. Juhola and M. Siermala: A scatter method for data and variable importance evaluation, Integrated Computer-Aided Engineering, 19, 137-149, 2012; Evaluation of data variables for classification with Scatter Method software: ScatterCounter.exe or ScatterCounter.tar (for Unix); Instruction in Finnish or in English. Compressed (7z) dist.7z is the new version and its istruction in Finnish and in English.
  • T. P. Hirvonen, M. Juhola and H. Aalto: Suppression of spontaneous nystagmus during different visual fixation conditions, European Archives of Oto-Rhino-Laryngology and Head & Neck, 269(7), 1759-1762, 2012.
  • H. Joutsijoki: Half-against-half multi-class support vector machines in classification of benthic macroinvertebrate images. In Proceedings of 2012 International Conference on Computer and Information Science (ICCIS2012), IEEE, vol. 1, pp. 414–419, 2012.
  • H. Joutsijoki and M. Juhola: DAGSVM vs DAGKNN: An experimental case study with benthic macroinvertebrate dataset, 8th International Conference on Machine Learning and Data Mining (MLDM2012), July 13-20, 2012, Berlin, Germany, P. Perner (Ed.), Springer-Verlag, Berlin, Lecture Notes in Artificial Intelligence, 7376, 439-453.
  • Y. Zhang, J. Rasku and M. Juhola: Biometric verification of subjects using saccade eye movements, International Journal of Biometrics, 4(4), 317-337, 2012.
  • J. Rasku, H. Joutsijoki, I. Pyykkö and M. Juhola: Prediction of a state of a subject on the basis of a stabilogram signal and videooculography test, Computer Methods and Programs in Biomedicine, 108, 580-588, 2012.
  • Y. Zhang and M. Juhola: On biometric verification of user by means of eye movement data mining, The Second International Conference on Advance in Information Mining and Management (IMMM2012), October 21-26, 2012, Venice, Italy, IARIA, 85-90. Best paper award.
  • J. Rasku, I. Pyykkö, M. Juhola, M. Garcia, T. Harris, L. Launer, G. Eiriksdottir, K. Siggeirsdottir, P. Jonsson, H. J. Hoffman, H. Petersen, C. Rasmussen, P. Caserotti, E. Toppila, S. Pajala and V. Gudnason: Evaluation of the postural stability of elderly persons using time domain signal analysis, Journal of Vestibular Research, 22, 243-252, 2012.
  • J. Rasku, H. Joutsijoki, I. Pyykkö and M. Juhola: Prediction of a state of a subject on the basis of a stabilogram signal and videooculograhy test, Computer Methods and Programs in Biomedicine, 108, 580-588, 2012.

2011

  • J. Mattila, V. Hotti and M. Juhola: Product mix and its optimization in a paper mill according to profitability computation of process measurements, International Journal of Computer Aided Engineering and Technology, 3(2), 155-174, 2011.
  • M. Juhola, H. Aalto, T. Jutila and T. Hirvonen: Signal analysis of three-dimensional nystagmus for otoneurological investigations, Annals of Biomedical Engineering, 39(3), 973-982, 2011.
  • S. Kiranyaz, T. Ince, J. Pulkkinen, M. Gabbouj, J, Ärje, S. Karkkainen, V. Tirronen, M. Juhola, T. Turpeinen and K. Meissner: Classification and retrieval on macroinvertabrate image databases, Computers in Biology and Medicine, 41, 463-472, 2011.
  • V. Rantanen, T. Vanhala, O. Tuisku, P.-H. Niemenlehto, J. Verho, V. Surakka, M. Juhola and J. Lekkala: A wearable, wireless gaze tracker with integrated selection command source for human-computer interaction, IEEE Transactions on Information Technology in Biomedicine, 15(5), 795-801.
  • A. Järvelin and M. Juhola: Comparison of machine learning methods for classifying aphasic and non-aphasic speakers, Computer Methods and Programs in Biomedicine, 104, 349-357, 2011.
  • J. Saarikoski, J. Laurikkala, K. Järvelin and M. Juhola: Self-organising maps in document classification: A comparison with six machine learning methods, Part I, Lecture Notes in Computer Science 6593, 260-269, International Conference on Adaptive and Natural Computing Algorithms (ICANNGA’11), A. Dobnikar, U. Lotrič and B. Šter (Eds.), April 14-16, 2011, Lujubljana, Slovenia, Springer-Verlag, Berlin, Germany.
  • H. Joutsijoki and M. Juhola: Automated benthic macroinvertebrate identification with decision acyclic graph support vector machines, Proceedings of the IASTED International Conference Computational Biosicences (CompBio 2011), July 11-13, 2011, Cambridge, United Kingdom.
  • K. Varpa, H. Joutsijoki, K. Iltanen and M. Juhola: Applying one-vs-one and one-vs-all classifiers in k-nearest neighbour method and support vector machines to an otoneurological multiclass problem, Proceedings of the 23rd International Conference of the European Federation for Medical Informatics (MIE 2011), User Centred Networked Health Care, Oslo, Norway, August 28-31, 2011, A. Moen et al. (Eds.), IOS Press, 579-583.
  • H. Joutsijoki and M. Juhola: Comparing the one-vs-one and one-vs-all methods in benthic macroinvertebrate image classification, 7th International Conference on Machine Learning and Data Mining (MLDM 2011), August 30 – September 3, 2011, New Yourk, USA, P. Perner (Ed.), Springer-Verlag, Berlin, Germany, Lecture Notes in Artifical Intelligence, 6871, 399-413.
  • M. Rantanen: A connectivity-based method for enhancing sampling in probabilistic roadmap planners, Journal of Intelligent & Robotic Systems, 64(2), 161-178.

2010

  • J. Rasku and M. Juhola: A detection method of body movement signals measured with magnetic tracking device for human balance investigations, International Journal of Medical Engineering and Informatics, 2(1), 37-51, 2010.
  • K. Miettinen and M. Juhola: Classification of otoneurological cases according to Bayesian probabilistic models, Journal of Medical Systems, 34, 119–130, 2010.
  • M. Juhola, H. Aalto, T. Jutila and T. Hirvonen: Three-dimensional signal analysis of nystagmus with video-oculography. XXVI Barany Society Meeting, Reykjavik, Iceland, August 18-21, 2010, Journal of Vestibular Research, 20(3,4) 2010, 192-193.
  • M. Juhola: Evaluation report on M.Sc. study programme for Computer Engineering of University of Rijeka, Croatia, 2010.

 2009

  • T. Alatalo, M. Juhola, V. Surakka and T. Tossavainen: Creation of virtual reality stimulus for a psychophysiological body balance measurement, Psychology Research and Behavior Management, 2, 13-22, 2009.
  • M. Juhola and J. Laurikkala: On metricity of two heterogeneous measures in the presence of missing values, Artificial Intelligence Review, 28(2), 163-178, 2007. (published 2009).
  • J. Saarikoski, J. Laurikkala, K. Järvelin and M. Juhola: A study on the use of self-organised maps in information retrieval, Journal of Documentation, 65(2), 304-322, 2009.
  • P. Niemenlehto and M. Juhola: Application of a modified two-point backward difference to sequential event detection in surface electromyography, Journal of Medical Engineering & Technology, 33(5), 349-360, 2009.
  • J. Saarikoski, K. Järvelin, J. Laurikkala and M. Juhola: On document classification with self-organising maps, Lecture Notes in Computer Science 5495, 140-149, International Conference on Adaptive and Natural Computing Algorithms (ICANNGA’09), April 23-25, 2009, Kuopio, Finland, Mikko Kolehmainen et al. (Eds.), Springer-Verlag, Berlin, Germany.
  • J. Rasku, M. Juhola, I. Pyykkö, E. Toppila and K. Varpa: the effect of removing the force feedback during the quiet standing, Proceedings of Medical Informatics in Europe (MIE2009), August 30 - September 2, 2009, Sarajevo, Bosnia and Herzegovina, K.-P. Adlassning, B. Blobel, J. Mantas and I. Masic (Eds.), IOS Press, 620-624.
  • M. Juhola, H. Aalto and T. Hirvonen: On signal analysis of three-dimensional nystagmus, Proceedings of Medical Informatics in Europe 2009 (MIE2009), August 30 - September 2, Sarajevo, Bosnia and Herzegovina, K.-P. Adlassning, B. Blobel, J. Mantas and I. Masic (Eds.), IOS Press, 846-850.
  • M. Juhola and E. Oja: Evaluation of the School of Computing, University of Eastern Finland (Universities of Joensuu and Kuopio), November 11-13, 2009.

2008

  • J.C. Patra, M. Juhola and P.K. Meher: Intelligent sensors using computationally efficient Chebyshev neural networks, IET Science, Measurement & Technology, 2(2), 68-75, 2008.
  • J. Boháčik and M. Juhola: Fuzzy rule induction and classification applied to otoneurological data, Journal of Information, Control and Management Systems, 6(1), 9-20, 2008.
  • K. Varpa, K. Iltanen and M. Juhola: Machine learning method for knowledge discovery experimented with otoneurological data, Computer Methods and Programs in Biomedicine, 91, 154-164, 2008.
  • J. Rasku, M. Juhola, T. Tossavainen, I. Pyykkö and E. Toppila: Modelling stabilograms with hidden Markov models, Journal of Medical Engineering & Technology, 32(4), 273-283, 2008.
  • M. Siermala, M. Juhola and E. Kentala: Neural network classification of otoneurological data and its visualization, Computers in Biology and Medicine, 38, 858-866, 2008.
  • T. Talvensaari, A. Pirkola, K. Järvelin, M. Juhola and J. Laurikkala Focused web crawling in the acquisition of comparable corpora, Information Retrieval, 11, 427-445, 2008.
  • J. Mattila, T. Tiihonen, V. Hotti and M. Juhola: Is the ontological approach for the grade concept a necessity for successful product profitability calculation in a paper mill?, The Open Applied Informatics Journal, 2, 32-43, 2008.
  • J. Ollikainen and M. Juhola: On comparison methods of identifiers for DNA investigations in the context of crimes and accidents, Intelligent Data Analysis, 12(4), 409-423, 2008.
  • J. Boháčik, M. Juhola and V. Levashenko: Fuzzy if-then rule induction with cumulative information estimations applied to real-world data, Acta Electrotechnica et Informatica, 8(4), 24-29, 2008.
  • M. Juhola: Data Classification, Encyclopedia of Computer Science and Engineering, ed. B. Wah, John Wiley & Sons, 2008 (print version, 2009, Hoboken, NJ), 759-767.
  • T. Grönfors and M. Juhola: Compression of biosignals, Encyclopedia of Biomaterials and Biomedical Engineering, eds. Gary E. Wnek and Gary L. Bowlin, Informa HealthCare, 2nd edition, 2008, vol. 1, 677-686.
  • J. Rasku and M. Juhola: Looking for differences in postural control systems: Young students versus pensioners, Proceedings of the Sixth IASTED International Conference Biomedical Engineering, Innsbruck, Austria, February 13-15, 2008, 108-112.
  • P. Niemenlehto and M. Juhola: Detection of saccadic eye movements using the order statistic constant false alarm rate technique, Proceedings of the Sixth IASTED International Conference Biomedical Engineering, Innsbruck, Austria, February 13-15, 2008, 29-33.
  • M. Juhola: On machine learning classification of otoneurological data, Proceedings of Medical Informatics Europe 2008 (MIE 2008), May 25-28, 2008, Gothenburg, Sweden, S. K. Andersen, G. O. Klein, S. Schulz, J. Arts and M. C. Mazzoleni (Eds.), IOS Press, 211-216.
  • J. Rasku and M. Juhola: Classification of task driven swaying paths, Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS2008), June 17-19, 2008, Jyväskylä, Finland, S. Puuronen, M. Pechenizkiy, A. Tsymbal and D.-J. Lee (Eds.), IEEE Computer Society, 284-286.
  • M. Juhola, H. Aalto and T. Hirvonen: Machine learning recognition of otoneurogical patients by means of the results of vestibulo-ocular signal analysis, Proceedongs of the 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS2008), June 17-19, 2008, Jyväskylä, Finland, S. Puuronen, M. Pechenizkiy, A. Tsymbal and D.-J. Lee (Eds.), IEEE Computer Society, 578-580.
  • M. Juhola (ed.): Evaluation report on research of Biosciences, Chemistry, Computer Science, Mathematics and Physics in the University of Joensuu, University of Joensuu, June 9-11, 2008.

 
Maintained by: webmaster@uta.fi
Last update: 5.12.2017 11.38 Muokkaa

University of Tampere
+358 3 355 111
registry@uta.fi


FINEEC Audited HR Excellence in Research

THE UNIVERSITY
Research
Admissions
Studies
News
Cooperation and Services
About Us

CURRENT ISSUES
Research & Study
Tampere3
Vacancies

SERVICES
Administration
Career Services
Finnish Social Science Data Archive
Centre for International Education
IT services
Language Centre
Language Services
Library
Registrar's Office
Registry
Sports Activities
» more

STUDIES
Teaching schedules
Curricula guides
Student's Desktop

ONLINE SERVICES
Andor search
Renew your loans
UTA intranet
Office 365 webmail
Uta webmail
Moodle
NettiOpsu
NettiKatti
TamPub
Electronic exam service
Examination results