Výsledky vyhledávání - "Bounsaythip, Catherine"

megNet®:Visualization and modelling environment for translational medicine

Autor: Orešič, Matej, Lötjönen, Jyrki, Bounsaythip, Catherine

Publikováno v: Orešič, M, Lötjönen, J & Bounsaythip, C 2007, ' megNet® : Visualization and modelling environment for translational medicine ', ERCIM News, no. 69, pp. 32-34 . < http://ercim-news.ercim.eu/images/stories/EN69/EN69.pdf >

There has long been a consensus that there is a pressing need to bridge the gap between basic and clinical sciences, to ensure that basic research discoveries of potential relevance to patient care are effectively applied. This is a formidable challe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::f06d8b2b8e381d51d40cfa6d4ac9df33
https://cris.vtt.fi/en/publications/1bf5f1fc-6877-4c90-b8c1-a68d802894d8

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Towards an integrative and context-sensitive approach to in silico disease modelling

Autor: Orešič, Matej, Gopalacharyulu, Peddinti V., Lindfors, Erno, Bounsaythip, Catherine, Karanta, Ilkka, Hiirsalmi, Mikko, Seitsonen, Lauri, Silvonen, Paula

Publikováno v: Orešič, M, Gopalacharyulu, P V, Lindfors, E, Bounsaythip, C, Karanta, I, Hiirsalmi, M, Seitsonen, L & Silvonen, P 2005, ' Towards an integrative and context-sensitive approach to in silico disease modelling ', ERCIM News, no. 60, pp. 25-26 . < https://www.ercim.eu/publication/Ercim_News/enw60/oresic.html >

Historically, the scientific methods applied to biological problems have largely been limited due to the fact that it has been difficult to collect the data. Today, these scientific methods are challenged by the 'omics' revolution, which are empoweri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::7c2f1a48edf0ca0ad084d69958fb7afd
https://cris.vtt.fi/en/publications/42655746-af71-4466-b637-e1b37770e0fc

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Ontology based data integration and context-based mining for life sciences

Autor: Gopalacharyulu, Peddinti V., Lindfors, Erno, Bounsaythip, Catherine, Wefelmeyer, Winnie, Orešič, Matej

Publikováno v: Gopalacharyulu, P V, Lindfors, E, Bounsaythip, C, Wefelmeyer, W & Orešič, M 2004, ' Ontology based data integration and context-based mining for life sciences ', Paper presented at World Wide Web Consortium (W3C) Workshop on Semantic Web for Life Sciences, Cambridge, United States, 27/10/04-28/10/04 . < https://publications.vtt.fi/julkaisut/muut/2004/w3csemweblifesci04.pdf >

Semantic web is a useful framework for accessing heterogeneous data sources, and its supporting technologies have already been utilized for data integration in life science domain. In this context, the primary challenge is to tackle the problem of ev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::9906a8d7b2ae373c8162c2cddbe73c00
https://cris.vtt.fi/en/publications/a1bc5c1a-3759-4c9f-889a-4915400af14a

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Highforest-forest parameter estimation from high resolution remote sensing data

Autor: Astola, Heikki, Bounsaythip, Catherine, Ahola, Jussi, Häme, Tuomas, Parmes, Eija, Sirro, Laura, Veikkanen, Brita

Publikováno v: Astola, H, Bounsaythip, C, Ahola, J, Häme, T, Parmes, E, Sirro, L & Veikkanen, B 2004, Highforest-forest parameter estimation from high resolution remote sensing data . in O Altan (ed.), Proceedings of the International Society for Photogrammetry and Remote Sensing XXth Congress . vol. XXXV Part B7, International Society for Photogrammetry and Remote Sensing ISPRS, Istanbul, pp. 335-341, XXth ISPRS Congress, Istanbul, Turkey, 12/07/04 . < https://www.isprs.org/proceedings/XXXV/congress/comm7/papers/65.pdf >

The aim of the study was to develop a tool for the estimation of forest variables using high-resolution satellite data. The tool included modular operative software. The image analysis methodology focused on the reduction of the known problems of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::4af3761645781deedb4756c5460b292b
https://cris.vtt.fi/en/publications/4537ab1b-5cf2-4b73-9e8d-fe98866fb167

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Overview of data mining for customer behavior modeling:LOUHI. Version 1

Autor: Bounsaythip, Catherine, Rinta-Runsala, Esa

Publikováno v: Bounsaythip, C & Rinta-Runsala, E 2001, Overview of data mining for customer behavior modeling : LOUHI. Version 1 . VTT Research Report, no. TTE1-2001-18, VTT Technical Research Centre of Finland, Espoo . < https://publications.vtt.fi/julkaisut/muut/2001/customerprofiling.pdf >

This report examines the problems of customer relationship management (CRM) particularly customer segmentation and customer profiling, and how data mining tools are used to support the decision making. We first describe the steps towards predicting c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::0309449a185b4cb556d953f9344b5ced
https://cris.vtt.fi/en/publications/7fb00e70-ee82-4b05-a3cc-4c3358dd21fe

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Requirements for a vehicle routing and scheduling system in timber transport

Autor: Karanta, Ilkka, Jokinen, Olli, Mikkola, Topi, Savola, Juha, Bounsaythip, Catherine

Publikováno v: Karanta, I, Jokinen, O, Mikkola, T, Savola, J & Bounsaythip, C 2000, Requirements for a vehicle routing and scheduling system in timber transport . in K Sjöström (ed.), Logistics in the Forest Sector . Timber Logistics Club, Helsinki, pp. 235-250, 1st World Symposium on Logistics in the Forest Sector, Helsinki, Finland, 15/05/00 .

We outline the needs of a wood-refining company with regard to timber transport truck routing and scheduling. The operational context and needs for vehicle routing in forest sector companies are described. We show that the problem has many features n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::f15827d674771e3a559cddfe62b739f3
https://cris.vtt.fi/en/publications/554d2f13-9074-4f02-929a-897d581bf382

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Solving wood collection problem with genetic algorithms

Autor: Karanta, Ilkka, Mikkola, Topi, Bounsaythip, Catherine, Jokinen, Olli, Savola, Juha

Publikováno v: Karanta, I, Mikkola, T, Bounsaythip, C, Jokinen, O & Savola, J 1999, Solving wood collection problem with genetic algorithms . in GECCO'99: Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation Proceedings of the Genetic and Evolutionary Computation Conference . vol. 2, Morgan Kaufmann Publishers, pp. 1787, 1st Annual Conference on Genetic and Evolutionary Computation, GECCO'99, Orlando, Florida, United States, 13/07/99 . https://doi.org/10.5555/2934046.2934202

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https://cris.vtt.fi/en/publications/90e81c49-f742-41ea-bb52-f7d60ca0b8e1

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