R
Rossitza Goleva
Researcher at New Bulgarian University
Publications - 47
Citations - 478
Rossitza Goleva is an academic researcher from New Bulgarian University. The author has contributed to research in topics: Network packet & Cloud computing. The author has an hindex of 9, co-authored 46 publications receiving 385 citations. Previous affiliations of Rossitza Goleva include Technical University of Sofia.
Papers
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Journal ArticleDOI
Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering
Eftim Zdravevski,Petre Lameski,Vladimir Trajkovik,Andrea Kulakov,Ivan Chorbev,Rossitza Goleva,Nuno Pombo,Nuno M. Garcia +7 more
TL;DR: A generic feature engineering method for selecting robust features from a variety of sensors, which can be used for generating reliable classification models and could reduce the cost of AAL systems by facilitating execution of algorithms on devices with limited resources and by using as few sensors as possible.
Book ChapterDOI
Automation in Systematic, Scoping and Rapid Reviews by an NLP Toolkit: A Case Study in Enhanced Living Environments
Eftim Zdravevski,Petre Lameski,Vladimir Trajkovik,Ivan Chorbev,Rossitza Goleva,Nuno Pombo,Nuno M. Garcia +6 more
TL;DR: The case study demonstrates that the NLP toolkit can ease and speed up the review process and show valuable insights from the surveyed articles even without manually reading of most of the articles.
Book ChapterDOI
Introduction to the AAL and ELE Systems
Ciprian Dobre,Constandinos X. Mavromoustakis,Nuno M. Garcia,George Mastorakis,Rossitza Goleva +4 more
TL;DR: This chapter makes an introduction into the technologies, technique and mechanisms, and algorithms, in other words the systems support for Ambient Assisted Living and Enhanced Living Environments.
Ambient Assisted Living and Enhanced Living Environments: Principles, Technologies and Control
Ciprian Dobre,Constandinos X. Mavromoustakis,Nuno M. Garcia,Nuno M. Garcia,Rossitza Goleva,George Mastorakis +5 more
Journal ArticleDOI
Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review.
Ivan Miguel Pires,Rui Santos,Nuno Pombo,Nuno Pombo,Nuno M. Garcia,Nuno M. Garcia,Francisco Flórez-Revuelta,Susanna Spinsante,Rossitza Goleva,Eftim Zdravevski +9 more
TL;DR: audio fingerprinting techniques that can be used with the acoustic data acquired from mobile devices using data acquired with mobile devices published between 2002 and 2017 are reviewed.