| 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 | 194 | 2017 |
| 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 | 122 | 2015 |
| 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 | 107 | 2020 |
| 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 | 90 | 2017 |
| 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 | 85 | 2020 |
| 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 | 75 | 2018 |
| 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 | 66 | 2020 |
| 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 | 55 | 2019 |
| 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 | 47 | 2021 |
| 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 | 44 | 2015 |
| 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 | 44 | 2011 |
| 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 | 43 | 2020 |
| 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 | 42 | 2020 |
| GAN-based image colorization for self-supervised visual feature learning S Treneska, E Zdravevski, IM Pires, P Lameski, S Gievska Sensors 22 (4), 1599, 2022 | 40 | 2022 |
| Cost optimization for big data workloads based on dynamic scheduling and cluster-size tuning M Grzegorowski, E Zdravevski, A Janusz, P Lameski, C Apanowicz, ... Big Data Research 25, 100203, 2021 | 40 | 2021 |
| Health–related ICT solutions of smart environments for elderly–systematic review P Maresova, O Krejcar, S Barakovic, JB Husic, P Lameski, E Zdravevski, ... Ieee Access 8, 54574-54600, 2020 | 39 | 2020 |
| 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 | 38 | 2022 |
| 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 | 38 | 2016 |
| Aging at work: A review of recent trends and future directions J Barakovic Husic, FJ Melero, S Barakovic, P Lameski, E Zdravevski, ... International journal of environmental research and public health 17 (20), 7659, 2020 | 37 | 2020 |
| Skin lesion segmentation with deep learning J Lameski, A Jovanov, E Zdravevski, P Lameski, S Gievska IEEE EUROCON 2019-18th International Conference on Smart Technologies, 1-5, 2019 | 37 | 2019 |
Eftim ZdravevskiFaculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje, MacedoniaVerified email at finki.ukim.mk
