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Petre Lameski
Petre Lameski
Faculty of Computer Sciecne and Engineering, Ss Cyril and Methodius University
Verified email at finki.ukim.mk - Homepage
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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
1822017
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
1132015
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
852020
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
822017
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
702020
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
682018
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
552020
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
472019
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
422011
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
402015
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
392021
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
382020
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
372016
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
342020
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
342019
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
322020
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
322015
The BBC micro: bit in the international classroom: learning experiences and first impressions
M Videnovik, E Zdravevski, P Lameski, V Trajkovik
2018 17th International Conference on Information Technology Based Higher …, 2018
302018
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
302017
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
292021
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