Eftim Zdravevski
Eftim Zdravevski
Faculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje, Macedonia
Verified email at finki.ukim.mk
Title
Cited by
Cited by
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
792017
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, 464-474, 2015
502015
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
272017
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
252020
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
222015
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
212016
Can we predict obstetric anal sphincter injury?
KD Starič, P Bukovec, K Jakopič, E Zdravevski, V Trajkovik, A Lukanović
European Journal of Obstetrics & Gynecology and Reproductive Biology 210 …, 2017
192017
System for Prediction of the Winner in a Sports Game
E Zdravevski, A Kulakov
International Conference on ICT Innovations, 55-63, 2009
182009
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
172018
Feature ranking based on information gain for large classification problems with mapreduce
E Zdravevski, P Lameski, A Kulakov, B Jakimovski, S Filiposka, ...
2015 IEEE Trustcom/BigDataSE/ISPA 2, 186-191, 2015
172015
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
162019
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
162017
Parallel computation of information gain using Hadoop and MapReduce
E Zdravevski, P Lameski, A Kulakov, S Filiposka, D Trajanov, ...
2015 Federated Conference on Computer Science and Information Systems …, 2015
162015
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
152018
Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter
E Zdravevski, P Lameski, A Kulakov, S Kalajdziski
2015 Federated Conference on Computer Science and Information Systems …, 2015
152015
Architecture for wireless sensor and actor networks control and data acquisition
P Lameski, E Zdravevski, A Kulakov, D Davcev
2011 international conference on distributed computing in sensor systems and …, 2011
152011
Weed detection dataset with RGB images taken under variable light conditions
P Lameski, E Zdravevski, V Trajkovik, A Kulakov
International Conference on ICT Innovations, 112-119, 2017
142017
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
132011
Recognition of Activities of Daily Living and Environments Using Acoustic Sensors Embedded on Mobile Devices
IM Pires, G Marques, NM Garcia, N Pombo, F Flórez-Revuelta, ...
Electronics 8 (12), 1499, 2019
122019
Scalable auto-encoders for gravitational waves detection from time series data
R Corizzo, M Ceci, E Zdravevski, N Japkowicz
Expert Systems with Applications, 113378, 2020
112020
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Articles 1–20