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| | Svetlana Segarceanu received her PhD from the Polytechnic University of Bucharest and has a master’s degree in mathematical analysis from the University of Bucharest. She currently works in research and development (R&D) at Beia Consult International, mainly in the fields of environmental sound recognition and natural language processing (NLP).
Svetlana has worked as a programmer and researcher in computer science since 1983, including work on database management, computer-aided instruction (CAI), and speech signal applications at the Computer Research Institute in Bucharest, Romania, as well as the development of several modules for different applications using PL/I, Java, C, C++, the .NET environment, and SAS. In the development of the European Satisfaction Index System (ESIS), she was responsible for raw data processing and classification procedures, 2D and 3D data visualization procedures, and the development of a graphical editor for structural equations. She also developed an interface for installing and configuring sensors used in aviation applications, adding a new function to the existing installation module and a module for testing the transmission of messages from sensors.
Svetlana has authored more than 30 papers and has participated in several conferences, including the International Conference on Speech and Computer (SPECOM) and Telecommunication, Informatics, Energy and Management (TIEM). She is an active contributor at the Annual Symposium of the Institute of Solid Mechanics and the Commission of Acoustics Session, and has managed or participated in multiple international projects over the last 15 years.
She has been a reviewer for CR since 1992.
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1 - 5 of 5
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 A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data
Murray J., Philipson P. Computational Statistics & Data Analysis 170(1): 1-15, 2022. Type: Article
Many longitudinal clinical studies involve the repeated periodic measurement of continuous responses over a period to detect any changes that might occur in the condition of the individual, such as events of interest like survival after 90 days. I...
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May 4 2023 |
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Pervasive social computing: socially-aware pervasive systems and mobile applications
Kabir M., Han J., Colman A., Springer International Publishing, New York, NY, 2016. 282 pp. Type: Book (978-3-319299-49-5)
Social awareness applications or services are intended to handle remote communication by providing, automatically or in a supervised manner, hints about people’s current state or situation, or building a perception of the act...
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Apr 7 2017 |
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Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning
Zhang Y., Wen J., Wang X., Jiang Z. Journal of Intelligent Information Systems 45(1): 113-130, 2015. Type: Article
Zhang et al. propose a semi-supervised clustering algorithm, called SSCGD, addressing a specific class of such techniques: probabilistic clustering. The algorithm optimizes a given Gaussian mixture model (GMM) by adding, on the one han...
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Jan 20 2016 |
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Moving innovation: a history of computer animation
Sito T., The MIT Press, Cambridge, MA, 2013. 376 pp. Type: Book (978-0-262019-09-5), Reviews: (2 of 2)
Significant episodes in the rapidly growing field of computer animation are the subject of this comprehensive and fascinating account. The author, himself an animation artist and spectator of the last 40 years of computer graphics and ...
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Sep 11 2013 |
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Text versus speech: a comparison of tagging input modalities for camera phones
Cherubini M., Anguera X., Oliver N., de Oliveira R. MobileHCI 09 (Proc. of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services, Bonn, Germany, Sep 15-18, 2009) 1-10, 2009. Type: Proceedings
The paper investigates three modalities for labeling pictures captured with mobile phone cameras, both at the tag production stage and as a retrieval tool for pictures. Cherubini et al. “report the results of a month-long fie...
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Jan 12 2010 |
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