activity
20072026
most citedAn expanded evaluation of protein function prediction methods shows an improvement in accuracy

457 citations · 515 across the 16 of their papers we have counts for

collaborators

18 papers

cs.CE2026

InvestorNerd: An Investment and Financial Insights System Based on User Profiles

John Castillo, Rishika Gautam, Xinyu Wang +2

InvestorNerd is a web-based platform (investornerd.org) designed to educate and democratize financial understanding by providing accessible, AI-powered investment and personal fina…

cs.PL2024

Verifying Lock-free Search Structure Templates

Nisarg Patel, Dennis Shasha, Thomas Wies

We present and verify template algorithms for lock-free concurrent search structures that cover a broad range of existing implementations based on lists and skiplists. Our lineariz…

cs.LG2023★ 2 cited

On the calibration of compartmental epidemiological models

Nikunj Gupta, Anh Mai, Azza Abouzied +1

Epidemiological compartmental models are useful for understanding infectious disease propagation and directing public health policy decisions. Calibration of these models is an imp…

cs.LG2023★ 2 cited

Planning Multiple Epidemic Interventions with Reinforcement Learning

Anh Mai, Nikunj Gupta, Azza Abouzied +1

Combating an epidemic entails finding a plan that describes when and how to apply different interventions, such as mask-wearing mandates, vaccinations, school or workplace closures…

cs.LG2022

Forgetful Forests: high performance learning data structures for streaming data under concept drift

Zhehu Yuan, Yinqi Sun, Dennis Shasha

Database research can help machine learning performance in many ways. One way is to design better data structures. This paper combines the use of incremental computation and sequen…

stat.ML2021

Classification Under Ambiguity: When Is Average-K Better Than Top-K?

Titouan Lorieul, Alexis Joly, Dennis Shasha

When many labels are possible, choosing a single one can lead to low precision. A common alternative, referred to as top- classification, is to choose some number (commonly…