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Eftim Zdravevski
Eftim Zdravevski
Faculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje, Macedonia
Verified email at finki.ukim.mk
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Cited by
Year
Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment
LJ Marcos-Zambrano, K Karaduzovic-Hadziabdic, T Loncar Turukalo, ...
Frontiers in microbiology 12, 634511, 2021
2892021
Literature on wearable technology for connected health: scoping review of research trends, advances, and barriers
T Loncar-Turukalo, E Zdravevski, JM da Silva, I Chouvarda, V Trajkovik
Journal of medical Internet research 21 (9), e14017, 2019
2422019
A framework for malicious traffic detection in IoT healthcare environment
F Hussain, SG Abbas, GA Shah, IM Pires, UU Fayyaz, F Shahzad, ...
Sensors 21 (9), 3025, 2021
2022021
Improving activity recognition accuracy in ambient-assisted living systems by automated feature engineering
E Zdravevski, P Lameski, V Trajkovik, A Kulakov, I Chorbev, R Goleva, ...
Ieee Access 5, 5262-5280, 2017
2002017
SVM parameter tuning with grid search and its impact on reduction of model over-fitting
P Lameski, E Zdravevski, R Mingov, A Kulakov
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 15th …, 2015
1252015
Deep learning for feature extraction in remote sensing: A case-study of aerial scene classification
B Petrovska, E Zdravevski, P Lameski, R Corizzo, I Štajduhar, J Lerga
Sensors 20 (14), 3906, 2020
1112020
Air pollution prediction with multi-modal data and deep neural networks
J Kalajdjieski, E Zdravevski, R Corizzo, P Lameski, S Kalajdziski, IM Pires, ...
Remote Sensing 12 (24), 4142, 2020
962020
Weed detection dataset with RGB images taken under variable light conditions
P Lameski, E Zdravevski, V Trajkovik, A Kulakov
ICT Innovations 2017: Data-Driven Innovation. 9th International Conference …, 2017
962017
Technological solutions for older people with Alzheimer's disease
P Maresova, S Tomsone, P Lameski, J Madureira, A Mendes, ...
Current Alzheimer Research 15 (10), 975-983, 2018
822018
From Big Data to business analytics: The case study of churn prediction
E Zdravevski, P Lameski, C Apanowicz, D Ślȩzak
Applied Soft Computing 90, 106164, 2020
722020
Scalable auto-encoders for gravitational waves detection from time series data
R Corizzo, M Ceci, E Zdravevski, N Japkowicz
Expert Systems with Applications 151, 113378, 2020
632020
Pattern recognition techniques for the identification of activities of daily living using a mobile device accelerometer
IM Pires, G Marques, NM Garcia, F Flórez-Revuelta, ...
Electronics 9 (3), 509, 2020
612020
Automation in systematic, scoping and rapid reviews by an NLP toolkit: a case study in enhanced living environments
E Zdravevski, P Lameski, V Trajkovik, I Chorbev, R Goleva, N Pombo, ...
Enhanced living environments: algorithms, architectures, platforms, and …, 2019
582019
Rural healthcare IoT architecture based on low-energy LoRa
A Dimitrievski, S Filiposka, FJ Melero, E Zdravevski, P Lameski, IM Pires, ...
International journal of environmental research and public health 18 (14), 7660, 2021
562021
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
E Zdravevski, B Risteska Stojkoska, M Standl, H Schulz
PloS one 12 (9), e0184216, 2017
552017
Robust histogram-based feature engineering of time series data
E Zdravevski, P Lameski, R Mingov, A Kulakov, D Gjorgjevikj
2015 Federated Conference on Computer Science and Information Systems …, 2015
482015
Homogeneous data normalization and deep learning: A case study in human activity classification
IM Pires, F Hussain, NM Garcia, P Lameski, E Zdravevski
Future Internet 12 (11), 194, 2020
472020
System for Prediction of the Winner in a Sports Game
E Zdravevski, A Kulakov
International conference on ICT innovations, 55-63, 2009
462009
Ambient assisted living: scoping review of artificial intelligence models, domains, technology, and concerns
M Jovanovic, G Mitrov, E Zdravevski, P Lameski, S Colantonio, M Kampel, ...
Journal of Medical Internet Research 24 (11), e36553, 2022
452022
Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms
E Zdravevski, P Lameski, A Kulakov
The 2011 international joint conference on neural networks, 181-188, 2011
452011
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Articles 1–20