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38
Citations
7999
World Ranking
7920
National Ranking
2172

Overview

Roni Rosenfeld is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the field of Medicine, with a focus on Epidemiology, Modeling and Simulation, and Artificial Intelligence. Additional subfields of study include Clinical Psychology and General Health Professions.

The main topics addressed in their work encompass Data-Driven Disease Surveillance, COVID-19 epidemiological studies, and Influenza Virus Research Studies. Other notable topics include Anomaly Detection Techniques and Applications, COVID-19 and Mental Health, Public Health Policies and Education, and Viral Infections and Outbreaks Research.

Rosenfeld has published extensively, with contributions appearing frequently in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), and the Proceedings of the National Academy of Sciences. Other recurring publication venues include PLoS Computational Biology and OPAL (Open@LaTrobe) at La Trobe University.

Among their recent papers are:

  • The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination (2021), Proceedings of the National Academy of Sciences
  • Collaborative Hubs: Making the Most of Predictive Epidemic Modeling (2022), American Journal of Public Health
  • An open repository of real-time COVID-19 indicators (2021), Proceedings of the National Academy of Sciences
  • Orality-Grounded HCID: Understanding the Oral User (2022), OPAL (Open@LaTrobe) (La Trobe University)
  • Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations (2024), Nature Communications

Frequent collaborators in Rosenfeld's research include Ryan J. Tibshirani, Bryan Wilder, Justin Lessler, Aaron Rumack, and Nicholas G Reich.

Best Publications

  • Two decades of statistical language modeling: where do we go from here?

    R. Rosenfeld

  • Learning Hidden Markov Model Structure for Information Extraction

    Kristie Seymore;Roni Rosenfeld

  • Generating remote control interfaces for complex appliances

    Jeffrey Nichols;Brad A. Myers;Michael Higgins;Joseph Hughes

  • Impulse Model Design of Acoustic Surface-Wave Filters

    C.S. Hartmann;D.T. Bell;R.C. Rosenfeld

  • A survey of smoothing techniques for ME models

    S.F. Chen;R. Rosenfeld

  • Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

    James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

  • Trigger-based language models: a maximum entropy approach

    R. Lau;R. Rosenfeld;S. Roukos

  • FRED (A Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations

    John J Grefenstette;Shawn T Brown;Roni Rosenfeld;Jay DePasse

  • Evaluation Metrics For Language Models

    Stanley F Chen;Douglas Beeferman;Roni Rosenfeld

  • HealthLine: Speech-based access to health information by low-literate users

    J. Sherwani;N. Ali;S. Mirza;A. Fatma

  • Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.

    Nicholas G. Reich;Craig J. McGowan;Teresa K. Yamana;Abhinav Tushar

  • The hub and spoke paradigm for CSR evaluation

    Francis Kubala;Jerome Bellegarda;Jordan Cohen;David Pallett

  • Results from the Centers for Disease Control and Prevention's predict the 2013-2014 Influenza Season Challenge.

    Matthew Biggerstaff;David Alper;Mark Dredze;Spencer Fox

  • Winner takes all: competing viruses or ideas on fair-play networks

    B. Aditya Prakash;Alex Beutel;Roni Rosenfeld;Christos Faloutsos

  • Improving trigram language modeling with the World Wide Web

    Xiaojin Zhu;R. Rosenfeld

  • Scalable backoff language models

    K. Seymore;R. Rosenfeld

  • Interacting viruses in networks: can both survive?

    Alex Beutel;B. Aditya Prakash;Roni Rosenfeld;Christos Faloutsos

  • Flexible Modeling of Epidemics with an Empirical Bayes Framework

    Logan C. Brooks;David C. Farrow;Sangwon Hyun;Ryan J. Tibshirani

  • Applying SPHINX-II to the DARPA Wall Street Journal CSR task

    F. Alleva;H. Hon;X. Huang;M. Hwang

  • Speech vs. touch-tone: telephony interfaces for information access by low literate users

    Jahanzeb Sherwani;Sooraj Palijo;Sarwat Mirza;Tanveer Ahmed

  • The 1997 CMU Sphinx-3 English Broadcast News Transcription System

    K. Seymore;S. Chen;S. Doh;M. Eskenazi

  • Comparative n-gram analysis of whole-genome protein sequences

    M. Ganapathiraju;D. Weisser;R. Rosenfeld;J. Carbonell

Frequent Co-Authors

Judith Klein-Seetharaman
Judith Klein-Seetharaman Arizona State University
Ryan J. Tibshirani
Ryan J. Tibshirani University of California, Berkeley
Ziv Bar-Joseph
Ziv Bar-Joseph Carnegie Mellon University
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Donald S. Burke
Donald S. Burke University of Pittsburgh
Alexander I. Rudnicky
Alexander I. Rudnicky Carnegie Mellon University
Xiaojin Zhu
Xiaojin Zhu University of Wisconsin–Madison
Larry Wasserman
Larry Wasserman Carnegie Mellon University
Jeffrey Nichols
Jeffrey Nichols Apple (United States)
Brad A. Myers
Brad A. Myers Carnegie Mellon University

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