GJorgjevikj, Dejan
Full Name
GJorgjevikj, Dejan
Main Affiliation
Email
dejan.gjorgjevikj@finki.ukim.mk
Scopus Author ID
Loading...
2
0
5
0
false
Personal Site
dejan.gjorgjevikj.com
Researcher ID
Loading...
3
0
5
0
false
Subject
- 1 Classification
- 1 Comparison of multi-label learning methods
- 1 Deep learning, Fault diagnostics, Novelty detection, Multi-head deep neural network, Sparse autoencoder
- 1 Fault diagnosis; dynamic transfer adversarial learning; one-dimensional signal; deep learning; transfer learning
- 1 Hierarchical
- 1 Learning
- 1 Multi-label
- 1 Multi-label classification
- 1 Multi-label ranking
- 1 ranking
- next >
Date issued
Fulltext
Results 1-7 of 7 (Search time: 0.006 seconds).
Preview | Title | Author(s) | Issue Date | Type | |
---|---|---|---|---|---|
1 | An extensive experimental comparison of methods for multi-label learning | Madjarov, Gjorgji ; Kocev, Dragi; GJorgjevikj, Dejan ; Džeroski, Sašo | Sep-2012 | Journal Article | |
2 | HYBRID DECISION TREE ARCHITECTURE UTILIZING LOCAL SVMs FOR EFFICIENT MULTI-LABEL LEARNING | GJorgjevikj, Dejan ; Madjarov, Gjorgji ; DŽEROSKI, SAŠO | Nov-2013 | Journal Article | |
3 | Mechanical fault diagnosis by using dynamic transfer adversarial learning | Wei, Yadong; Long, Tuzhi; Cai, Xiaoman; Zhang, Shaohui; GJorgjevikj, Dejan ; Li, Chuan | 17-Jun-2021 | Journal Article | |
4 | A Multi-class SVM Classifier Utilizing Binary Decision Tree | Madzarov, GJorgji ; GJorgjevikj, Dejan ; CHorbev, Ivan | May-2009 | Journal Article | |
5 | Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties | Yang, Zhe; GJorgjevikj, Dejan ; Long, Jianyu; Zi, Yanyang; Zhang, Shaohui; Li, Chuan | 4-Jun-2021 | Journal Article | |
6 | Two stage architecture for multi-label learning | Madjarov, Gjorgji ; GJorgjevikj, Dejan ; Džeroski, Sašo | Mar-2012 | Journal Article | |
7 | The use of data-derived label hierarchies in multi-label classification | Madjarov, Gjorgji ; GJorgjevikj, Dejan ; Dimitrovski, Ivica ; Džeroski, Sašo | 2016 | Journal Article |