Zdravevski, Eftim
Full Name
Zdravevski, Eftim
Variants
Eftim Zdravevski
Main Affiliation
Email
eftim.zdravevski@finki.ukim.mk
Other emails
Scopus Author ID
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2
0
5
0
false
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3
0
5
0
false
Subject
- 1 ambient assisted living, daily activity recognition, data collection, field conditions
- 1 Data streams; ETL; Business analytics; Hadoop; Spark; Cluster size optimization
- 1 Deep Learning, Neural Networks, Segmentation, Skin Lesion, Melanoma
- 1 Nutrition, Physical activity, Mobile applications, Health, Systematic review, Diet, Google Play Store
Type
Fulltext
Results 1-5 of 5 (Search time: 0.012 seconds).
| Preview | Title | Author(s) | Issue Date | Type | |
|---|---|---|---|---|---|
| 1 | Challenges in data collection in real-world environments for activity recognition | Lameski, Petre ; Dimitrievski, Ace; Zdravevski, Eftim ; Trajkovikj, Vladmir; Koceski, Saso | 1-Jul-2019 | Proceeding article | |
| 2 | The CHARME" Advanced Big Data Training School for Life Sciences": an example of good practices for training on current bioinformatics challenges | Hoang, Yen; Pfeil, Juliane; Zagoršcak, Maja; Y. A. Thieffry , Axel; Zdravevski, Eftim ; Ramšak, Živa; Lameski, Petre ; Schulze , Sabrina K.; Papakonstantinou , Eleni; Papageorgiou, Louis; Singh, Tarry; Duarte López, Ariel; Pérez-Casany , Marta | 5-Feb-2019 | Article | |
| 3 | Cluster-size optimization within a cloud-based ETL framework for Big Data | Zdravevski, Eftim ; Lameski, Petre ; Dimitrievski, Ace; Grzegorowski, Marek; Apanowicz, Cas | 9-Dec-2019 | Proceeding article | |
| 4 | Mobile applications for the promotion and support of healthy nutrition and physical activity habits: A systematic review, extraction of features and taxonomy proposal | Villasana, María Vanessa; Pires, Ivan Miguel; Sá, Juliana; Garcia, Nuno M; Zdravevski, Eftim ; Chorbev, Ivan; Lameski, Petre ; Flórez-Revuelta, Francisco | 20-Dec-2019 | Journal Article | |
| 5 | Skin lesion segmentation with deep learning | Gievska, Sonja ; Lameski, Jane; Jovanov, Andrej; Zdravevski, Eftim ; Lameski, Petre | 1-Jul-2019 | Proceeding article |