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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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Year
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
1542017
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
1432019
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, 313, 2021
1192021
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
1012015
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
642020
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
552018
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
552017
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
482020
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
452017
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
442021
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
442020
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
392020
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
382020
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
382019
A survey of Ambient Assisted Living systems: Challenges and opportunities
A Dimitrievski, E Zdravevski, P Lameski, V Trajkovik
2016 IEEE 12th international conference on intelligent computer …, 2016
332016
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
322011
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
312015
Aerial scene classification through fine-tuning with adaptive learning rates and label smoothing
B Petrovska, T Atanasova-Pacemska, R Corizzo, P Mignone, P Lameski, ...
Applied Sciences 10 (17), 5792, 2020
302020
Suppression of intensive care unit false alarms based on the arterial blood pressure signal
P Lameski, E Zdravevski, S Koceski, A Kulakov, V Trajkovik
IEEE Access 5, 5829-5836, 2017
292017
Recognition of activities of daily living based on environmental analyses using audio fingerprinting techniques: A systematic review
IM Pires, R Santos, N Pombo, NM Garcia, F Flórez-Revuelta, S Spinsante, ...
Sensors 18 (1), 160, 2018
282018
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