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Computer Science

D-Index
33
Citations
16172
World Ranking
12343
National Ranking
4995

Research.com Recognitions

  • 2015 - ACM Senior Member

Overview

Daniel Gruhl is a researcher affiliated with IBM in the United States. Their work primarily focuses on the field of Computer Science, with a specialization in Artificial Intelligence.

The main topics of their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text and Document Classification Technologies

Daniel Gruhl has contributed to research published in recognized venues, notably:

  • arXiv (Cornell University)

Among the recent papers authored or co-authored by Daniel Gruhl is:

  • SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion, published in 2021 at arXiv (Cornell University)

Their frequent collaborators include:

  • Muntasir Wahed
  • Alfredo Alba
  • Anna Lisa Gentile
  • Petar Ristoski
  • Chad DeLuca

Daniel Gruhl has been recognized as an ACM Senior Member since 2015.

Best Publications

  • Techniques for data hiding

    W. Bender;D. Gruhl;N. Morimoto;Aiguo Lu

  • Information diffusion through blogspace

    Daniel Gruhl;R. Guha;David Liben-Nowell;Andrew Tomkins

  • Steps toward a science of service systems

    J. Spohrer;P.P. Maglio;J. Bailey;D. Gruhl

  • Information diffusion through blogspace

    D. Gruhl;David Liben-Nowell;R. Guha;A. Tomkins

  • Echo Hiding

    Daniel Gruhl;Anthony Lu;Walter Bender

  • SemTag and seeker: bootstrapping the semantic web via automated semantic annotation

    Stephen Dill;Nadav Eiron;David Gibson;Daniel Gruhl

  • Techniques for data hiding

    Walter R. Bender;Daniel Gruhl;Norishige Morimoto

  • The predictive power of online chatter

    Daniel Gruhl;R. Guha;Ravi Kumar;Jasmine Novak

  • Method and apparatus for data hiding in images

    Walter Bender;Norishige Morimoto;Daniel Gruhl

  • Method and apparatus for echo data hiding in audio signals

    Walter Bender;Daniel Gruhl;Norishige Morimoto

  • A Case for Automated Large Scale Semantic Annotation

    Stephen Dill;Nadav Eiron;David Gibson;Daniel Gruhl

  • Vinci: A service-oriented architecture for rapid development of Web applications

    Rakesh Agrawal;Roberto J. Bayardo;Daniel Gruhl;Spyridon Papadimitriou

  • Applications for data hiding

    W. Bender;W. Butera;D. Gruhl;R. Hwang

  • Service Science

    Unknown

  • How to build a WebFountain: An architecture for very large-scale text analytics

    D. Gruhl;L. Chavet;D. Gibson;J. Meyer

  • Method and apparatus for data hiding in printed images

    Walter Bender;Daniel Gruhl

  • System, method, and service for segmenting a topic into chatter and subtopics

    Daniel Frederick Gruhl;Ramanathan Vaidhyanath Guha;Andrew S. Tomkins

  • Method and apparatus for logo hiding in images

    Walter Bender;Norishige Morimoto;Daniel Gruhl

  • DATA STORAGE FOR A KNOWLEDGE-BASED SYSTEM FOR EXTRACTION OF INFORMATION FROM DATA

    Denisuk Matt Ju;Grul Daniel Frederik;Makkarli Kevin Snou;Mejer Dzhouerg

  • Content monitoring in a high volume on-line community application

    Daniel F. Gruhl;Kevin Haas

  • An evaluation of binary xml encoding optimizations for fast stream based xml processing

    R. J. Bayardo;D. Gruhl;V. Josifovski;J. Myllymaki

Frequent Co-Authors

Andrew Tomkins
Andrew Tomkins Google (United States)
Ramanathan V. Guha
Ramanathan V. Guha Google (United States)
Sridhar Rajagopalan
Sridhar Rajagopalan IBM (United States)
Tanveer Syeda-Mahmood
Tanveer Syeda-Mahmood IBM (United States)
Rakesh Agrawal
Rakesh Agrawal Purdue University West Lafayette
Kenneth L. Clarkson
Kenneth L. Clarkson IBM (United States)
Dharmendra S. Modha
Dharmendra S. Modha IBM (United States)
Amit P. Sheth
Amit P. Sheth University of South Carolina
Paul P. Maglio
Paul P. Maglio University of California, Merced

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