Peter Pirolli

Florida Institute for Human and Machine Cognition

Computer ScienceDecision Sciences

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks”.

Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks

arXiv (Cornell University)(2021)10.1109/icdh52753.2021.00027

N/A

0DataRank · unranked

0 citations

Peter Pirolli, Arash Mahyari

Real-Time Learning from an Expert in Deep Recommendation Systems with Application to mHealth for Physical Exercises

IEEE Journal of Biomedical and Health Informatics(2022)10.1109/jbhi.2022.3167314

N/A

0DataRank · unranked

26 citations

Peter Pirolli, Jacqueline A. LeBlanc, Arash Mahyari