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Sajjad Kamali Siahroudi
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2020 – today
- 2024
- [c5]Sajjad Kamali Siahroudi, Zahra Ahmadi, Daniel Kudenko:
Effectively Capturing Label Correlation for Tabular Multi-Label Classification. CIKM 2024: 1060-1069 - 2023
- [j4]Sajjad Kamali Siahroudi
, Daniel Kudenko
An effective single-model learning for multi-label data. Expert Syst. Appl. 232: 120887 (2023) - [c4]Sajjad Kamali Siahroudi, Daniel Kudenko:
Partial Multi-label Learning via Constraint Clustering. ICONIP (11) 2023: 453-469 - 2021
- [c3]Sajjad Kamali Siahroudi, Daniel Kudenko:
An Online Learning Algorithm for Non-stationary Imbalanced Data by Extra-Charging Minority Class. PAKDD (1) 2021: 603-615
2010 – 2019
- 2019
- [j3]Poorya ZareMoodi, Sajjad Kamali Siahroudi, Hamid Beigy
Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach. Knowl. Inf. Syst. 60(3): 1329-1352 (2019) - [c2]Kovtun Valery, Sajjad Kamali Siahroudi, Wei Gang:
Psyncgan for Data Generation Application of Partially Syncronized GAN to Image and Caption Data Generation. ICAIP 2019: 92-96 - 2018
- [j2]Sajjad Kamali Siahroudi, Poorya ZareMoodi, Hamid Beigy
Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach. Expert Syst. Appl. 91: 187-197 (2018) - 2016
- [c1]Poorya ZareMoodi, Sajjad Kamali Siahroudi, Hamid Beigy
A support vector based approach for classification beyond the learned label space in data streams. SAC 2016: 910-915 - 2015
- [j1]Poorya ZareMoodi, Hamid Beigy
Novel class detection in data streams using local patterns and neighborhood graph. Neurocomputing 158: 234-245 (2015)
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last updated on 2024-11-14 21:04 CET by the dblp team
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