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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 - 10 of 76
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The AI tech-stack model
Tsaih R., Chang H., Hsu C., Yen D. Communications of the ACM 6669-77, 2023. Type: Article
Artificial intelligence (AI) utilization in enterprises is rapidly expanding, and organizations have to keep up with AI’s pace of growth. Once customers start to benefit from smart solutions such as predictive schemes or recommendation syste...
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Jul 11 2023 |
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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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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...
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Nov 11 2021 |
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Natural language processing with (tabled and constraint) logic programming
Christiansen H., Dahl V. In Declarative logic programming. New York, NY: Association for Computing Machinery and Morgan & Claypool, 2018. Type: Book Chapter
Natural language processing (NLP) is a subfield of computer science, with a history of already more than 50 years. It concerns the interaction between humans and computers through natural language, and integrates specialties like speec...
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Nov 24 2020 |
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"Accessibility came by accident": use of voice-controlled intelligent personal assistants by people with disabilities
Pradhan A., Mehta K., Findlater L. CHI 2018 (Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal, QC, Canada, Apr 21-26, 2018) 1-13, 2018. Type: Proceedings
Intelligent personal assistants (IPAs) are software packages designed to assist people with basic tasks. They are usually based on voice interaction, as input and output, and natural language understanding, and with the advent of voice...
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Jun 23 2020 |
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Unifying logical and statistical AI with Markov logic
Domingos P., Lowd D. Communications of the ACM 62(7): 74-83, 2019. Type: Article
A Markov logic network (MLN) is a probabilistic logic that endows the first-order logic with a degree of uncertainty by applying Markov networks. It represents an active area of research, introduced in the early 2000s by the very autho...
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Sep 20 2019 |
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Completeness management for RDF data sources
Darari F., Nutt W., Pirrò G., Razniewski S. ACM Transactions on the Web 12(3): 1-53, 2018. Type: Article
The resource description framework (RDF), a standardized concept to model data intercommunication on the web, associates relationships between things to structures of triples or graphs. SPARQL is a semantic query language tailored to e...
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Apr 23 2019 |
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UCF’s 30-year REU site in computer vision
Lobo N., Shah M. Communications of the ACM 62(1): 31-34, 2019. Type: Article
The article describes the University of Central Florida’s (UCF’s) history and position within the Research Experiences for Undergraduates (REUs) program. REUs are research programs in the US for undergraduates study...
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Apr 12 2019 |
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Facial expression analysis and expression-invariant face recognition by manifold-based synthesis
Peng Y., Yin H. Machine Vision and Applications 29(2): 263-284, 2018. Type: Article
Although an old topic of exploration, facial expression has become an important field of research. Marketing and medical research frequently use emotion analysis to identify customer needs and emotions....
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Aug 23 2018 |
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Multi-disciplinary engineering for cyber-physical production systems: data models and software solutions for handling complex engineering projects
Biffl S., Lüder A., Gerhard D., Springer International Publishing, New York, NY, 2017. 472 pp. Type: Book (978-3-319563-44-2)
Cyber-physical systems (CPS) are engines managed and monitored by computer algorithms in tight relation with information and communication technologies. Among the related topics and technologies are the Internet of Things, industrial I...
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May 4 2018 |
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