Learning a Faceted Customer Segmentation for Discovering new Business Opportunities at Intel. - Itay Lieder; Meirav Segal; Eran Avidan; Asaf Cohen 004; Tom Hope (IEEE BigData, 2019)

Fair Set Selection: Meritocracy and Social Welfare. - Thomas Kleine Buening; Meirav Segal; Debabrota Basu; Christos Dimitrakakis (CoRR, 2021)

On Meritocracy in Optimal Set Selection. - Thomas Kleine Buening; Meirav Segal; Debabrota Basu; Anne-Marie George; Christos Dimitrakakis (EAAMO, 2022)

Simulating University Application Data for Fair Matchings. - Meirav Segal; Anne-Marie George; Christos Dimitrakakis (NAIS, 2022)

Policy Fairness and Unknown Bias Dynamics in Sequential Allocations. - Meirav Segal; Anne-Marie George; Christos Dimitrakakis (EAAMO, 2023)

Threshold Recourse for Dynamic Allocations. - Meirav Segal; Anne-Marie George; Christos Dimitrakakis (EWAF, 2024)

Better Luck Next Time: About Robust Recourse in Binary Allocation Problems. - Meirav Segal; Anne-Marie George; Ingrid Chieh Yu; Christos Dimitrakakis (xAI (3), 2024)

Algorithmic Fairness and Recourse for Allocation Policies. - Meirav Segal (2025)

What Makes an Evaluation Useful? Common Pitfalls and Best Practices. - Gil Gekker; Meirav Segal; Dan Lahav; Omer Nevo (CoRR, 2025)

Leveraging LLM Inconsistency to Boost Pass@k Performance. - Uri Dalal; Meirav Segal; Zvika Ben-Haim; Dan Lahav; Omer Nevo (CoRR, 2025)