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
622017
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
372015
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
E Zdravevski, BR Stojkoska, M Standl, H Schulz
PloS one 12 (9), 2017
252017
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
202015
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
172016
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
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
162015
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
152020
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
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
152017
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
System for Prediction of the Winner in a Sports Game
E Zdravevski, A Kulakov
International Conference on ICT Innovations, 55-63, 2009
152009
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
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
122011
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
112017
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
112015
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
102018
Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets
E Zdravevski, P Lameski, A Kulakov, D Gjorgjevikj
2014 Federated Conference on Computer Science and Information Systems, 387-394, 2014
102014
Automatic feature engineering for prediction of dangerous seismic activities in coal mines
E Zdravevski, P Lameski, A Kulakov
2016 Federated Conference on Computer Science and Information Systems …, 2016
82016
Towards application of non-invasive environmental sensors for risks and activity detection
A Dimitrievski, E Zdravevski, P Lameski, V Trajkovik
2016 IEEE 12th International Conference on Intelligent Computer …, 2016
72016
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Articles 1–20