I’m Sepehr Bakhshi and currently a graduate student at Bilkent University, working with the Information Retrieval Group under the guidance of Professor Fazli Can.

Publications

[1] Sepehr Bakhshi, and Fazli Can (2024). Balancing efficiency vs. effectiveness and providing missing label robustness in multi-label stream classification. Knowledge-Based Systems, p.111489. [Paper] [Code]

[2] Pouya Ghahramanian, Sepehr Bakhshi, Hamed Bonab, and Fazli Can (2023). A Novel Neural Ensemble Architecture for On-The-Fly Classification of Evolving Text Streams. ACM Transactions on Knowledge Discovery from Data. [Paper] [Code]

[3] Soheil Abadifard, Sepehr Bakhshi, Sanaz Gheibuni, and Fazli Can (2023). DynED: Dynamic Ensemble Diversification in Data Stream Classification. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 3707–3711). [Paper][Code]

[4] Sepehr Bakhshi, Pouya Ghahramanian, Hamed Bonab, and Fazli Can (2023). A Broad ensemble learning system for drifting stream classification. IEEE Access. [Paper][Code]

[5] Onur Yildirim, Sepehr Bakhshi, and Fazli Can. “Prioritized Binary Transformation Method for Efficient Multi-label Classification of Data Streams with Many Labels.” In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, pp. 4218-4222. 2024. [Paper]