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Eftim Zdravevski
Researcher at Saints Cyril and Methodius University of Skopje
Publications - 132
Citations - 1766
Eftim Zdravevski is an academic researcher from Saints Cyril and Methodius University of Skopje. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 16, co-authored 105 publications receiving 920 citations. Previous affiliations of Eftim Zdravevski include Universidade Lusófona.
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.
Journal ArticleDOI
Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers
Tatjana Loncar-Turukalo,Eftim Zdravevski,Jose Machado da Silva,Ioanna Chouvarda,Vladimir Trajkovik +4 more
TL;DR: This study confirms that applications of wearable technology in the CH domain are becoming mature and established as a scientific domain with respect to four important pillars: technology, safety and security, prescriptive insight, and user-related concerns.
Journal ArticleDOI
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.
Laura Judith Marcos-Zambrano,Kanita Karaduzovic-Hadziabdic,Tatjana Loncar Turukalo,Piotr Przymus,Vladimir Trajkovik,Oliver Aasmets,Magali Berland,Aleksandra Gruca,Jasminka Hasic,Karel Hron,Thomas Klammsteiner,Mikhail Kolev,Leo Lahti,Marta B. Lopes,Victor Moreno,Irina Naskinova,Elin Org,Inês Paciência,Georgios Papoutsoglou,Rajesh Shigdel,Blaz Stres,Baiba Vilne,Malik Yousef,Eftim Zdravevski,Ioannis Tsamardinos,Enrique Carrillo de Santa Pau,Marcus J. Claesson,Isabel Moreno-Indias,Isabel Moreno-Indias,Jaak Truu +29 more
TL;DR: In this paper, a review of the state-of-the-art ML methods and respective software applied in human microbiome studies, performed as part of the COST Action ML4Microbiome activities, is presented.
Book ChapterDOI
SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting
TL;DR: This paper addresses the challenge of building robust classification models with support vector machines (SVMs) that are built from time series data and investigates the impact of parameter tuning of SVMs with grid search on the classification performance and its effect on preventing over-fitting.
Journal ArticleDOI
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
Biserka Petrovska,Eftim Zdravevski,Petre Lameski,Roberto Corizzo,Ivan Štajduhar,Jonatan Lerga +5 more
TL;DR: This work classified the scene from areal images using a two-stream deep architecture using pre-trained CNN that extracts deep features of aerial images from different network layers: the average pooling layer or some of the previous convolutional layers.