Novel class detection in data streams using local patterns and neighborhood graph. - Poorya ZareMoodi; Hamid Beigy; Sajjad Kamali Siahroudi (Neurocomputing, 2015)

A support vector based approach for classification beyond the learned label space in data streams. - Poorya ZareMoodi; Sajjad Kamali Siahroudi; Hamid Beigy (SAC, 2016)

Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach. - Sajjad Kamali Siahroudi; Poorya ZareMoodi; Hamid Beigy (Expert Syst. Appl., 2018)

Psyncgan for Data Generation Application of Partially Syncronized GAN to Image and Caption Data Generation. - Kovtun Valery; Sajjad Kamali Siahroudi; Wei Gang (ICAIP, 2019)

Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach. - Poorya ZareMoodi; Sajjad Kamali Siahroudi; Hamid Beigy (Knowl. Inf. Syst., 2019)

An Online Learning Algorithm for Non-stationary Imbalanced Data by Extra-Charging Minority Class. - Sajjad Kamali Siahroudi; Daniel Kudenko (PAKDD (1), 2021)

Partial Multi-label Learning via Constraint Clustering. - Sajjad Kamali Siahroudi; Daniel Kudenko (ICONIP (11), 2023)

An effective single-model learning for multi-label data. - Sajjad Kamali Siahroudi; Daniel Kudenko (Expert Syst. Appl., 2023)

Effectively Capturing Label Correlation for Tabular Multi-Label Classification. - Sajjad Kamali Siahroudi; Zahra Ahmadi; Daniel Kudenko (CIKM, 2024)