DynED: Dynamic Ensemble Diversification in Data Stream Classification. - Soheil Abadifard; Sepehr Bakhshi; Sanaz Gheibuni; Fazli Can (CIKM, 2023)

A Broad Ensemble Learning System for Drifting Stream Classification. - Sepehr Bakhshi; Pouya Ghahramanian; Hamed R. Bonab; Fazli Can (IEEE Access, 2023)

Prioritized Binary Transformation Method for Efficient Multi-label Classification of Data Streams with Many Labels. - Onur Yildirim; Sepehr Bakhshi; Fazli Can (CIKM, 2024)

Balancing efficiency vs. effectiveness and providing missing label robustness in multi-label stream classification. - Sepehr Bakhshi; Fazli Can (Knowl. Based Syst., 2024)

A Novel Neural Ensemble Architecture for On-the-fly Classification of Evolving Text Streams. - Pouya Ghahramanian; Sepehr Bakhshi; Hamed R. Bonab; Fazli Can (ACM Trans. Knowl. Discov. Data, 2024)