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Segarceanu, Svetlana
Kepler-Rominfo SA
Bucuresti, Romania
 
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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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- 3 of 3 reviews

   
   Environmental audio scene and sound event recognition for autonomous surveillance: a survey and comparative studies
Chandrakala S., Jayalakshmi S. ACM Computing Surveys 52(3): 1-34, 2019.  Type: Article

As my colleagues and I define in a previous paper, “environmental sound recognition (AESR) is a relatively new discipline of computer science destined to extend the field of speech-based applications, or the study of music so...

Nov 11 2021  
   Big data analytics: a management perspective
Corea F., Springer International Publishing, New York, NY, 2016. 48 pp.  Type: Book (978-3-319389-91-2)

The big data concept started to form in the early 2000s; since then, organizations have been challenged with increasing, even alarming amounts of various types of data, generated by multiple sources such as social media exchanges, digi...

Apr 27 2017  
   Machine learning: an algorithmic perspective
Marsland S., Chapman & Hall/CRC, Boca Raton, FL, 2009. 406 pp.  Type: Book (9781420067187)

A comprehensive guide to pattern recognition methods, the most difficult problem for machine learning, is provided in this book. The author presents practical material with lots of examples, and covers almost all of the methodologies u...

Oct 15 2010  
 
 
   
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