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Computer Science

D-Index
63
Citations
18656
World Ranking
2727
National Ranking
1357

Overview

Luis Gravano is affiliated with Columbia University in the United States. Their research expertise lies primarily within the field of Computer Science, with a substantive focus on Artificial Intelligence as well as statistical and nonlinear physics. Additional subfields of their work include Information Systems, Transportation, and Communication.

Their scholarly output features topics related to:

  • Topic Modeling
  • Complex Network Analysis Techniques
  • Advanced Text Analysis Techniques
  • Expert Finding and Q&A Systems
  • Text and Document Classification Technologies
  • Human Mobility and Location-Based Analysis
  • Public Relations and Crisis Communication

Publications by Luis Gravano have appeared in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media

Recent papers authored or co-authored by Luis Gravano include:

  • "Beyond Trending Topics: Real-World Event Identification on Twitter," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Selecting Quality Twitter Content for Events," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Automatic Identification and Presentation of Twitter Content for Planned Events," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only," 2020, arXiv (Cornell University)
  • "Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher," 2020, arXiv (Cornell University)

Luis Gravano frequently collaborates with a number of coauthors, among the most common are:

  • Daniel Hsu
  • Hila Becker
  • Mor Naaman
  • Giannis Karamanolakis
  • Eden Shaveet

Best Publications

  • Snowball: extracting relations from large plain-text collections

    Eugene Agichtein;Luis Gravano

  • Beyond Trending Topics: Real-World Event Identification on Twitter

    Hila Becker;Mor Naaman;Luis Gravano

  • Efficient IR-style keyword search over relational databases

    Vagelis Hristidis;Luis Gravano;Yannis Papakonstantinou

  • Approximate String Joins in a Database (Almost) for Free

    Luis Gravano;Panagiotis G. Ipeirotis;H. V. Jagadish;Nick Koudas

  • k-Shape: Efficient and Accurate Clustering of Time Series

    John Paparrizos;Luis Gravano

  • k-Shape: Efficient and Accurate Clustering of Time Series

    Unknown

  • Learning similarity metrics for event identification in social media

    Hila Becker;Mor Naaman;Luis Gravano

  • The Stanford Digital Library Metadata Architecture

    Michelle Baldonado;Chen Chuan K. Chang;Luis Gravano;Andreas Paepcke

  • GlOSS: text-source discovery over the Internet

    Luis Gravano;Héctor García-Molina;Anthony Tomasic

  • STHoles: a multidimensional workload-aware histogram

    Nicolas Bruno;Surajit Chaudhuri;Luis Gravano

  • Hip and trendy: Characterizing emerging trends on Twitter

    Mor Naaman;Hila Becker;Luis Gravano

  • Evaluating Top-k Selection Queries

    Surajit Chaudhuri;Luis Gravano

  • Evaluating top-k queries over Web-accessible databases

    N. Bruno;L. Gravano;A. Marian

  • Top-k selection queries over relational databases: Mapping strategies and performance evaluation

    Nicolas Bruno;Surajit Chaudhuri;Luis Gravano

  • Computing Geographical Scopes of Web Resources

    Junyan Ding;Luis Gravano;Narayanan Shivakumar

  • Evaluating top-k queries over web-accessible databases

    Amélie Marian;Nicolas Bruno;Luis Gravano

  • Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies

    Luis Gravano;Hector Garcia-Molina

  • Text joins in an RDBMS for web data integration

    Luis Gravano;Panagiotis G. Ipeirotis;Nick Koudas;Divesh Srivastava

  • The effectiveness of GIOSS for the text database discovery problem

    Luis Gravano;Héctor García-Molina;Anthony Tomasic

  • STARTS: Stanford proposal for Internet meta-searching

    Luis Gravano;Chen-Chuan K. Chang;Héctor García-Molina;Andreas Paepcke

  • Hip andTrendy: Characterizing EmergingTrends onTwitter

    Mor Naaman;Hila Becker;Luis Gravano

Frequent Co-Authors

Panagiotis G. Ipeirotis
Panagiotis G. Ipeirotis New York University
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Eugene Agichtein
Eugene Agichtein Emory University
Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Nicolas Bruno
Nicolas Bruno Microsoft (United States)
Mor Naaman
Mor Naaman Cornell University
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Mehran Sahami
Mehran Sahami Stanford University
Daniel Hsu
Daniel Hsu Columbia University
Andreas Paepcke
Andreas Paepcke Stanford University

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