2 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution
Nripsuta Ani Saxena, Shang-Ling Hsu, Mehul Shetty +3
Accurately attributing user visits to specific Points of Interest (POIs) is a foundational task for mobility analytics, personalized services, marketing and urban planning. However…
Preventing Discriminatory Decision-making in Evolving Data Streams
Zichong Wang, Nripsuta Saxena, Tongjia Yu +8
Bias in machine learning has rightly received significant attention over the last decade. However, most fair machine learning (fair-ML) work to address bias in decision-making syst…
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena +2
With the widespread use of AI systems and applications in our everyday lives, it is important to take fairness issues into consideration while designing and engineering these types…