Lameski, Petre
Full Name
Lameski, Petre
Main Affiliation
Email
petre.lameski@finki.ukim.mk
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Subject
- 1 air pollution prediction; machine learning; air pollution; review
- 1 Cardiovascular diseasesSystematic reviewECG sensorsDiagnosis
- 1 Daily activities
- 1 Diseases
- 1 document classification, layout analysis, OCR, intelligent document processing
- 1 Electrocardiography signals
- 1 image classification; deep neural networks; transfer learning; classifier fusion; mobile application; bug bites
- 1 Page stream segmentation, section segmentation, Donut, intelligent document processing, deep learning
- 1 Seated
- 1 Stand up
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Type
Fulltext
Results 1-9 of 9 (Search time: 0.007 seconds).
| Preview | Title | Author(s) | Issue Date | Type | |
|---|---|---|---|---|---|
| 1 | Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review | Vitaliyivna Denysyuk, Hanna; Pinto, Rui Joao; Silva, Pedro Miguel; Duarte, Rui Pedro; Marinho, Francisco Alexandre; Pimenta, Luís; Gouveia, António Jorge; Gonçalves, Norberto Jorge; Coelho, Paulo Jorge; Zdravevski, Eftim ; Lameski, Petre ; Leithardt, Valderi; Garcia, Nuno M; Pires, Ivan Miguel | 1-Feb-2023 | Journal Article | |
| 2 | Approaches and Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 | Cvitić, Ivan; Jevremovic, Aleksandar; Lameski, Petre | 13-Oct-2023 | Journal Article | |
| 3 | A Comprehensive Analysis of LayoutLM and Donut for Document Classification | Bajrami, Merxhan; Zdravevski, Eftim ; Lameski, Petre ; Stojkoska, Biljana | Jul-2023 | Proceeding article | |
| 4 | Corrigendum to “Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up”[Data in Brief, volume 46 (2023) 108874] | Duarte, Rui Pedro; Marinho, Francisco Alexandre; Bastos, Eduarda Sofia; Pinto, Rui João; Silva, Pedro Miguel; Fermino, Alice; Vitalyvna Denysyuk, Hanna; Gouveia, António Jorge; Gonçalves, Norberto Jorge; Coelho, Paulo Jorge; Zdravevski, Eftim ; Lameski, Petre ; Tripunovski, Toni; Garcia, Nuno M; Pires, Ivan Miguel | 1-Apr-2023 | Journal 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 | DocSplitAI: A Deep Learning Approach for Document Segmentation in Large PDFs | Bajrami, Merxhan; Kulakov, Andrea ; Gaissmaier, Yvonne; Lameski, Petre | Jul-2023 | Proceeding 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 | Methods for urban Air Pollution measurement and forecasting: Challenges, opportunities, and solutions | Mitreska Jovanovska, Elena; Batz, Victoria; Lameski, Petre ; Zdravevski, Eftim ; Herzog, Michael A; Trajkovik, Vladimir | 15-Sep-2023 | Journal Article | |
| 9 | Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A concise systematic review | Lopes Gabriel, Cristiana; Pires, Ivan Miguel; Coelho, Paulo Jorge; Zdravevski, Eftim ; Lameski, Petre ; Mewada, Hiren; Madeira, Filipe; Garcia, Nuno M; Carreto, Carlos | 25-May-2023 | Journal Article |