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)

A novel concept drift detection method in data streams using ensemble classifiers. - Mahdie Dehghan; Hamid Beigy; Poorya ZareMoodi (Intell. Data Anal., 2016)

Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation. - Poorya Zaremoodi; Wray L. Buntine; Gholamreza Haffari (ACL (2), 2018)

Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model. - Poorya Zaremoodi; Gholamreza Haffari (COLING, 2018)

Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach. - Poorya ZareMoodi; Gholamreza Haffari (NAACL-HLT, 2018)

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)

Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation. - Poorya Zaremoodi; Gholamreza Haffari (NGT@EMNLP-IJCNLP, 2019)

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

Learning to Multi-Task Learn for Better Neural Machine Translation. - Poorya Zaremoodi; Gholamreza Haffari (CoRR, 2020)

Neural Machine Translation for Bilingually Low-Resource Scenarios. - Poorya Zaremoodi (2020)