Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. - Abhijnan Chakraborty; Gourab K. Patro; Niloy Ganguly; Krishna P. Gummadi; Patrick Loiseau (FAT, 2019)

Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly. - Gourab K. Patro; Abhijnan Chakraborty; Niloy Ganguly; Krishna P. Gummadi (CoRR, 2019)

Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. - Gourab K. Patro; Abhijnan Chakraborty; Niloy Ganguly; Krishna P. Gummadi (AAAI, 2020)

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. - Ashmi Banerjee; Gourab K. Patro; Linus W. Dietz; Abhijnan Chakraborty (IEEE BigData, 2020)

Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World. - Gourab K. Patro; Abhijnan Chakraborty; Ashmi Banerjee; Niloy Ganguly (RecSys, 2020)

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. - Gourab K. Patro; Arpita Biswas; Niloy Ganguly; Krishna P. Gummadi; Abhijnan Chakraborty (WWW, 2020)

On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction. - Gourab K. Patro; Abhijnan Chakraborty; Niloy Ganguly; Krishna P. Gummadi (CoRR, 2020)

Two-Sided Fairness in Non-Personalised Recommendations. - Aadi Swadipto Mondal; Rakesh Bal; Sayan Sinha; Gourab K. Patro (CoRR, 2020)

Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract). - Aadi Swadipto Mondal; Rakesh Bal; Sayan Sinha; Gourab K. Patro (AAAI, 2021)

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness. - Jessie Finocchiaro; Roland Maio; Faidra Monachou; Gourab K. Patro; Manish Raghavan; Ana-Andreea Stoica; Stratis Tsirtsis (FAccT, 2021)

Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. - Alejandra Bringas Colmenarejo; Luca Nannini; Alisa Rieger; Kristen M. Scott; Xuan Zhao; Gourab K. Patro; Gjergji Kasneci; Katharina Kinder-Kurlanda (AIES, 2022)

Fair ranking: a critical review, challenges, and future directions. - Gourab K. Patro; Lorenzo Porcaro; Laura Mitchell; Qiuyue Zhang; Meike Zehlike; Nikhil Garg 001 (FAccT, 2022)

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. - Gourab K. Patro; Prithwish Jana; Abhijnan Chakraborty; Krishna P. Gummadi; Niloy Ganguly (WWW, 2022)

Towards Fair Recommendation in Two-Sided Platforms. - Arpita Biswas; Gourab K. Patro; Niloy Ganguly; Krishna P. Gummadi; Abhijnan Chakraborty (CoRR, 2022)

Fairness implications of encoding protected categorical attributes. - Carlos Mougan; José M. Álvarez 002; Gourab K. Patro; Salvatore Ruggieri; Steffen Staab (CoRR, 2022)

Toward Fair Recommendation in Two-sided Platforms. - Arpita Biswas; Gourab K. Patro; Niloy Ganguly; Krishna P. Gummadi; Abhijnan Chakraborty (ACM Trans. Web, 2022)

A Review of the Role of Causality in Developing Trustworthy AI Systems. - Niloy Ganguly; Dren Fazlija; Maryam Badar; Marco Fisichella; Sandipan Sikdar; Johanna Schrader; Jonas Wallat; Koustav Rudra; Manolis Koubarakis; Gourab K. Patro; Wadhah Zai El Amri; Wolfgang Nejdl (CoRR, 2023)

TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya. - Hailay Kidu Teklehaymanot; Dren Fazlija; Niloy Ganguly; Gourab Kumar Patro; Wolfgang Nejdl (LREC/COLING, 2024)

TIGQA:An Expert Annotated Question Answering Dataset in Tigrinya. - Hailay Kidu Teklehaymanot; Dren Fazlija; Niloy Ganguly; Gourab K. Patro; Wolfgang Nejdl (CoRR, 2024)