Petre Lameski
Petre Lameski
University of Sts. Cyril and Methodius in Skopje, Macedonia Faculty of Computer Science and
Verified email at finki.ukim.mk - Homepage
Title
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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
972017
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
612015
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
252016
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
242015
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
222018
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
212015
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, 1-18, 2019
202019
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
202011
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
192020
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
192017
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
192015
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
192011
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
182017
Firearms training simulator based on low cost motion tracking sensor
D Bogatinov, P Lameski, V Trajkovik, KM Trendova
Multimedia tools and applications 76 (1), 1403-1418, 2017
182017
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
182015
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
172016
Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data.
I Dimitrovski, G Madjarov, D Kocev, P Lameski
CLEF (Working Notes) 2014, 705-714, 2014
162014
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
152020
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
132020
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
132014
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Articles 1–20