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Christophe Giraud-Carrier

Christophe Giraud-Carrier

D-Index & Metrics

Computer Science

D-Index
32
Citations
7119
World Ranking
12924
National Ranking
5219

Overview

Christophe Giraud-Carrier is affiliated with Brigham Young University in the United States. Their research primarily spans the fields of Computer Science and Social Sciences, with key work in several subfields including Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics, Information Systems, and Health.

The scientist has contributed to topics such as Complex Network Analysis Techniques, Evolutionary Game Theory and Cooperation, Sentiment Analysis and Opinion Mining, Advanced Text Analysis Techniques, Topic Modeling, Machine Learning and Data Classification, and Data Mining Algorithms and Applications.

Frequent publication venues where Christophe Giraud-Carrier's work appears include:

  • Intelligent Data Analysis
  • Proceedings of the International AAAI Conference on Web and Social Media
  • JMIR Infodemiology
  • Clinical Practice in Pediatric Psychology
  • Research Square (Research Square)

Recent papers authored or co-authored by Christophe Giraud-Carrier cover a range of interdisciplinary themes. These include:

  • "Analyzing the Political Sentiment of Tweets in Farsi," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "A Randomized Pilot Trial of a Text Messaging Intervention for Sleep Improvement and Weight Control in Emerging Adults," 2023, Clinical Practice in Pediatric Psychology
  • "GT-CHES: Graph transformation for classification in human evolutionary systems," 2023, Intelligent Data Analysis
  • "COVID-19 Health Beliefs Regarding Mask Wearing and Vaccinations on Twitter: Deep Learning Approach," 2022, JMIR Infodemiology
  • "Improved Early Violence Detection through Dynamic Graph Classification," 2023, Research Square (Research Square)

The scientist collaborates regularly with several co-authors, including Joseph Johnson, Elham Vaziripour, Daniel Zappala, Si yang Ke, and E. Shannon Neeley-Tass.

Best Publications

  • Metalearning: Applications to Data Mining

    Pavel Brazdil;Christophe Giraud-Carrier;Carlos Soares;Ricardo Vilalta

  • Meta-Learning by Landmarking Various Learning Algorithms

    Bernhard Pfahringer;Hilan Bensusan;Christophe G. Giraud-Carrier

  • An instance level analysis of data complexity

    Michael R. Smith;Tony Martinez;Christophe Giraud-Carrier

  • There’s an App for That: Content Analysis of Paid Health and Fitness Apps

    Joshua H West;P Cougar Hall;Carl L. Hanson;Michael D Barnes

  • Tracking Suicide Risk Factors Through Twitter in the US

    Jared Jashinsky;Scott H. Burton;Carl L. Hanson;Josh West

  • Evaluating Social Media's Capacity to Develop Engaged Audiences in Health Promotion Settings: Use of Twitter Metrics as a Case Study

    Brad L. Neiger;Rosemary Thackeray;Scott H. Burton;Christophe G. Giraud-Carrier

  • A note on the utility of incremental learning

    Christophe Giraud-Carrier

  • Metalearning

    Unknown

  • Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students

    Carl L Hanson;Scott H Burton;Christophe Giraud-Carrier;Josh H West

  • Introduction to the Special Issue on Meta-Learning

    Christophe Giraud-Carrier;Ricardo Vilalta;Pavel Brazdil

  • Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month.

    Rosemary Thackeray;Scott H Burton;Christophe Giraud-Carrier;Stephen Rollins

  • Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality

    Scott R Braithwaite;Christophe Giraud-Carrier;Josh West;Michael D Barnes

  • Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous

    Mike Gashler;Christophe Giraud-Carrier;Tony Martinez

  • An exploration of social circles and prescription drug abuse through Twitter.

    Carl Lee Hanson;Ben Cannon;Scott Burton;Christophe Giraud-Carrier

  • Identifying health-related topics on twitter: an exploration of tobacco-related tweets as a test topic

    Kyle W. Prier;Matthew S. Smith;Christophe Giraud-Carrier;Carl L. Hanson

  • Model of familiarity discrimination in the perirhinal cortex.

    Rafal Bogacz;Malcolm W. Brown;Christophe G. Giraud-Carrier

  • "Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information

    Scott H Burton;Kesler W Tanner;Christophe G Giraud-Carrier;Joshua H West

  • A reconfigurable dataflow machine for implementing functional programming languages

    Christophe Giraud-Carrier

  • A higher-order approach to meta-learning

    Hilan Bensusan;Christophe Giraud-Carrier;Claire Kennedy

  • Discovering Task Neighbourhoods Through Landmark Learning Performances

    Hilan Bensusan;Christophe G. Giraud-Carrier

  • A novel modular neural architecture for rule-based and similarity-based reasoning

    R Bogacz;C Giraud-Carrier

Frequent Co-Authors

Rafal Bogacz
Rafal Bogacz University of Oxford
Malcolm W. Brown
Malcolm W. Brown University of Bristol
Lei Chen
Lei Chen Hong Kong University of Science and Technology
John W. Lloyd
John W. Lloyd University of Bristol
David W. Embley
David W. Embley Brigham Young University
Bernhard Pfahringer
Bernhard Pfahringer University of Waikato
Richard G. M. Morris
Richard G. M. Morris University of Edinburgh
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Sherry Emery
Sherry Emery University of Chicago
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München

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