Lameski, Petre
Full Name
Lameski, Petre
Main Affiliation
Email
petre.lameski@finki.ukim.mk
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Subject
- 2 Big Data, ETL, Cloud computing, Spot price prediction, ARIMA, Spark
- 1 5P-Medicine; digital health; mobile bio-sensing for medicine; patient empowerment technologies; artificial intelligence; cardiovascular diseases
- 1 activities of daily living; AdaBoost; mobile devices; artificial neural networks; deep neural networks
- 1 Connected health; Internet of Things; battery consumption optimization; privacy-preserving devices
- 1 Daily activities
- 1 daily activities recognition; ensemble learning; ensemble classifiers; environments; mobile devices; sensors; systematic review
- 1 Data streams; ETL; Business analytics; Hadoop; Spark; Churn Prediction
- 1 Diseases
- 1 Electrocardiography signals
- 1 image classification; deep neural networks; transfer learning; classifier fusion; mobile application; bug bites
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Results 1-17 of 17 (Search time: 0.801 seconds).
Preview | Title | Author(s) | Issue Date | Type | |
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1 | 2.2. 4 Applications of Deep Learning Based Semantic Segmentation of Images | Lameski, Petre ; Zdravevski, Eftim ; Kulakov, Andrea ; Chorbev, Ivan; Trajkovikj, Vladimir | 2022 | Article | |
2 | Activities of daily living and environment recognition using mobile devices: a comparative study | Ferreira, José M; Pires, Ivan Miguel; Marques, Gonçalo; Garcia, Nuno M; Zdravevski, Eftim ; Lameski, Petre ; Flórez-Revuelta, Francisco; Spinsante, Susanna; Xu, Lina | 18-Jan-2020 | Article | |
3 | Cost optimization for big data workloads based on dynamic scheduling and cluster-size tuning | Grzegorowski, Marek; Zdravevski, Eftim ; Janusz, Andrzej; Lameski, Petre ; Apanowicz, Cas; Ślęzak, Dominik | 15-Jul-2021 | Article | |
4 | Cost optimization for big data workloads based on dynamic scheduling and cluster-size tuning | Grzegorowski, Marek; Zdravevski, Eftim ; Janusz, Andrzej; Lameski, Petre ; Apanowicz, Cas; Ślęzak, Dominik | 15-Jul-2021 | Article | |
5 | Deep Learning Methods for Bug Bite Classification: An End-to-End System | Ilijoski, Bojan ; Trojachanec Dineva, Katarina; Tojtovska Ribarski, Biljana; Petrov, Petar; Mladenovska, Teodora; Trajanoska, Milena; Gjorshoska, Ivana; Lameski, Petre | 2023 | Article | |
6 | Experimental Study on Wound Area Measurement with Mobile Devices | Ferreira, Filipe; Pires, Ivan Miguel; Ponciano, Vasco; Costa, Mónica; Villasana, María Vanessa; Garcia, Nuno M; Zdravevski, Eftim ; Lameski, Petre ; Chorbev, Ivan; Mihajlov, Martin ; Trajkovikj, Vladimir | 26-Aug-2021 | Article | |
7 | Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up | Duarte, Rui Pedro; Marinho, Francisco Alexandre; Bastos, Eduarda Sofia; Pinto, Rui João; Silva, Pedro Miguel; Fermino, Alice; Denysyuk, Hanna Vitalyvna; Gouveia, António Jorge; Gonçalves, Norberto Jorge; Coelho, Paulo Jorge; Zdravevski, Eftim ; Lameski, Petre ; Tripunoski, Toni ; Garcia, Nuno M; Pires, Ivan Miguel | Feb-2023 | Article | |
8 | Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices | Dimitrievski, Ace; Zdravevski, Eftim ; Lameski, Petre ; Trajkovikj, Vladmir | 2022 | Article | |
9 | Fintech and Artificial Intelligence in Finance-Towards a transparent financialindustry”(FinAI) CA19130 | Petrovska, Biserka; Atanasova-Pacemska, Tatjana; Corizzo, Roberto; Mignone, Paolo; Lameski, Petre ; Zdravevski, Eftim | 14-Sep-2020 | Article | |
10 | From Big Data to business analytics: The case study of churn prediction | Zdravevski, Eftim ; Lameski, Petre ; Apanowicz, Cas; Ślȩzak, Dominik | 1-May-2020 | Article | |
11 | GAN-Based Image Colorization for Self-Supervised Visual Feature Learning | Gievska, Sonja ; Treneska, Sandra; Zdravevski, Eftim ; Pires, Ivan Miguel; Lameski, Petre | 18-Feb-2022 | Article | |
12 | Identification of daily activites and environments based on the adaboost method using mobile device data: A systematic review | Ferreira, José M; Pires, Ivan Miguel; Marques, Gonçalo; Zdravevski, Eftim ; Lameski, Petre ; Garcia, Nuno M; Flórez-Revuelta, Francisco; Spinsante, Susanna | 20-Jan-2020 | Article | |
13 | Mobile 5P-medicine approach for cardiovascular patients | Miguel Pires, Ivan; Vitaliyivna Denysyuk, Hanna; Vanessa Villasana, María; Sá, Juliana; Lameski, Petre ; Chorbev, Ivan; Zdravevski, Eftim ; Trajkovik, Vladimir; Francisco Morgado, José; M Garcia, Nuno | 21-Oct-2021 | Article | |
14 | Patient-Centered Care based on Fog Computing Paradigm-A Case of Sleep Apnea Detection | Dimitrievski, Ace; Koceski, Sasho; Koceska, Natasha; Zdravevski, Eftim ; Lameski, Petre ; Hrvoje Belani,; Trajkovikj, Vladimir | 2020 | Article | |
15 | Rural Healthcare IoT Architecture Based on Low-Energy LoRa | Dimitrievski, Ace; Filiposka, Sonja ; Melero, Francisco José; Zdravevski, Eftim ; Lameski, Petre ; Pires, Ivan Miguel; Garcia, Nuno M; Lousado, José Paulo; Trajkovikj, Vladimir | 2021 | Article | |
16 | Technological solutions for sign language recognition: a scoping review of research trends, challenges, and opportunities | Joksimoski, Boban ; Zdravevski, Eftim ; Lameski, Petre ; Pires, Ivan Miguel; Melero, Francisco José; Martinez, Tomás Puebla; Garcia, Nuno M; Mihajlov, Martin ; Chorbev, Ivan; Trajkovikj, Vladimir | 22-Mar-2022 | Article | |
17 | Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks | Dimitrievski, Ace; Zdravevski, Eftim ; Lameski, Petre ; Villasana, María Vanessa; Miguel Pires, Ivan; Garcia, Nuno M; Flórez-Revuelta, Francisco; Trajkovikj, Vladimir | 26-Apr-2021 | Article |