Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design - Burcu Sayin; Tommaso Zoppi; Nicolò Marchini; Fahad Ahmed KhoKhar; Andrea Passerini (IEEE Access, 2025)

Rethinking and recomputing the value of machine learning models - Burcu Sayin; Jie Yang; Xinyue Chen; Andrea Passerini; Fabio Casati (Artif. Intell. Rev., 2025)

Do LLMs Provide Consistent Answers to Health-Related Questions Across Languages? - Ipek Baris Schlicht; Zhixue Zhao; Burcu Sayin; Lucie Flek; Paolo Rosso (Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III, 2025)

Do LLMs Provide Consistent Answers to Health-Related Questions across Languages? - Ipek Baris Schlicht; Zhixue Zhao; Burcu Sayin; Lucie Flek; Paolo Rosso (CoRR, 2025)

MedSyn: Enhancing Diagnostics with Human-AI Collaboration - Burcu Sayin; Ipek Baris Schlicht; Ngoc Vo Hong; Sara Allievi; Jacopo Staiano; Pasquale Minervini; Andrea Passerini (CoRR, 2025)

MedGellan: LLM-Generated Medical Guidance to Support Physicians - Debodeep Banerjee; Burcu Sayin; Stefano Teso; Andrea Passerini (CoRR, 2025)

Fostering effective hybrid human-LLM reasoning and decision making - Andrea Passerini; Aryo Gema; Pasquale Minervini; Burcu Sayin; Katya Tentori (Frontiers Artif. Intell., 2024)

Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain - Burcu Sayin; Pasquale Minervini; Jacopo Staiano; Andrea Passerini (Proceedings of the 6th Clinical Natural Language Processing Workshop, ClinicalNLP@NAACL 2024, Mexico City, Mexico, June 21, 2024, 2024)

Learning To Guide Human Decision Makers With Vision-Language Models - Debodeep Banerjee; Stefano Teso; Burcu Sayin; Andrea Passerini (CoRR, 2024)

Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain - Burcu Sayin; Pasquale Minervini; Jacopo Staiano; Andrea Passerini (CoRR, 2024)

Value-Aware Active Learning - Burcu Sayin; Jie Yang; Andrea Passerini; Fabio Casati (HHAI 2023: Augmenting Human Intellect - Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence, June 26-30, 2023, Munich, Germany, 2023)

Value-Based Hybrid Intelligence - Burcu Sayin; Jie Yang; Andrea Passerini; Fabio Casati (HHAI 2023: Augmenting Human Intellect - Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence, June 26-30, 2023, Munich, Germany, 2023)

Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality - Shahin Sharifi Noorian; Sihang Qiu; Burcu Sayin; Agathe Balayn; Ujwal Gadiraju; Jie Yang; Alessandro Bozzon (Proceedings of the 28th International Conference on Intelligent User Interfaces, IUI 2023, Sydney, NSW, Australia, March 27-31, 2023, 2023)

Rethinking and Recomputing the Value of ML Models - Burcu Sayin; Fabio Casati; Andrea Passerini; Jie Yang; Xinyue Chen (CoRR, 2022)

A review and experimental analysis of active learning over crowdsourced data - Burcu Sayin; Evgeny Krivosheev; Jie Yang; Andrea Passerini; Fabio Casati (Artif. Intell. Rev., 2021)

On the State of Reporting in Crowdsourcing Experiments and a Checklist to Aid Current Practices - Jorge Ramírez; Burcu Sayin; Marcos Báez; Fabio Casati; Luca Cernuzzi; Boualem Benatallah; Gianluca Demartini (Proc. ACM Hum. Comput. Interact., 2021)

Crowd-Powered Hybrid Classification Services: Calibration is all you need - Burcu Sayin; Evgeny Krivosheev; Jorge Ramírez; Fabio Casati; Ekaterina A. Taran; Veronika A. Malanina; Jie Yang (2021 IEEE International Conference on Web Services, ICWS 2021, Chicago, IL, USA, September 5-10, 2021, 2021)

On the state of reporting in crowdsourcing experiments and a checklist to aid current practices - Jorge Ramírez; Burcu Sayin; Marcos Báez; Fabio Casati; Luca Cernuzzi; Boualem Benatallah; Gianluca Demartini (CoRR, 2021)

The Science of Rejection: A Research Area for Human Computation - Burcu Sayin; Jie Yang; Andrea Passerini; Fabio Casati (CoRR, 2021)

Active Learning from Crowd in Document Screening - Evgeny Krivosheev; Burcu Sayin; Alessandro Bozzon; Zoltán Szlávik (Proceedings of the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation co-located with 34th Conference on Neural Information Processing Systems, CSW@NeurIPS 2020, Vancouver, BC, Canada / Online Event, December 11, 2020, 2020)

Active Learning from Crowd in Document Screening - Evgeny Krivosheev; Burcu Sayin; Alessandro Bozzon; Zoltán Szlávik (CoRR, 2020)

Privacy issues in post dissemination on Facebook - Burcu Sayin; Serap Sahin; Dimitrios G. Kogias; Charalampos Z. Patrikakis (Turkish J. Electr. Eng. Comput. Sci., 2019)