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Computer Science

D-Index
42
Citations
7053
World Ranking
8426
National Ranking
3607

Overview

Vittorio Castelli is a researcher affiliated with IBM in the United States. Their work primarily falls within the broad field of Computer Science, with a focus on several specialized subfields. These include Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, and Management Science and Operations Research.

Their research topics span multiple areas related to natural language and machine learning technologies. Key topics of interest include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Web Data Mining and Analysis
  • Text and Document Classification Technologies
  • Advanced Text Analysis Techniques

Castelli has contributed to a number of publications, predominantly appearing in the venue arXiv (Cornell University), where they have at least 19 papers. A smaller number of works have been published in the Proceedings of the AAAI Conference on Artificial Intelligence.

Recent papers include the following:

  • End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training, 2020, arXiv (Cornell University)
  • Multi-Stage Pre-training for Low-Resource Domain Adaptation, 2020, arXiv (Cornell University)
  • UNITE: A Unified Benchmark for Text-to-SQL Evaluation, 2023, arXiv (Cornell University)
  • Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness, 2023, arXiv (Cornell University)
  • Improved Synthetic Training for Reading Comprehension, 2020, arXiv (Cornell University)

Their collaborations frequently include partnerships with researchers such as Patrick Ng, Zhiguo Wang, Dan Roth, Revanth Gangi Reddy, and Md Arafat Sultan. The number of joint publications indicates ongoing professional relationships, notably with Patrick Ng (6 papers) and Zhiguo Wang (5 papers).

Best Publications

  • Multidimensional data clustering and dimension reduction for indexing and searching

    Vittorio Castelli;Chung-Sheng Li;Alexander Thamasian

  • Proactive management of software aging

    V. Castelli;R. E. Harper;P. Heidelberger;S. W. Hunter

  • Image Databases: Search and Retrieval of Digital Imagery

    Vittorio Castelli;Lawrence D. Bergman

  • On the exponential value of labeled samples

    Vittorio Castelli;Thomas M. Cover

  • The relative value of labeled and unlabeled samples in pattern recognition with an unknown mixing parameter

    V. Castelli;T.M. Cover

  • The onion technique: indexing for linear optimization queries

    Yuan-Chi Chang;Lawrence Bergman;Vittorio Castelli;Chung-Sheng Li

  • Progressive content-based retrieval of image and video with adaptive and iterative refinement

    Chung-Sheng Li;John Joseph Edward Turek;Vittorio Castelli;Ming-Syan Chen

  • On Periodicity Detection and Structural Periodic Similarity

    Michail Vlachos;Philip S. Yu;Vittorio Castelli

  • Searching multidimensional indexes using associated clustering and dimension reduction information

    Vittorio Castelli;Chung-Sheng Li;Alexander Thomasian

  • System and method for generating multi-representations of a data cube

    Vittorio Castelli;Anant Deep Jhingran;Chung-Sheng Li;John Timothy Robinson

  • Methods and apparatus for indexing data in a database and for retrieving data from a database in accordance with queries using example sets

    Lawrence D. Bergman;Vittorio Castelli;Chung-Sheng Li

  • DocWizards: a system for authoring follow-me documentation wizards

    Lawrence Bergman;Vittorio Castelli;Tessa Lau;Daniel Oblinger

  • HierarchyScan: a hierarchical similarity search algorithm for databases of long sequences

    Chung-Sheng Li;P.S. Yu;V. Castelli

  • Indicating physical site energy usage through a virtual environment

    Vittorio Castelli;A. Hamilton Ii Rick;Clifford A. Pickover;Robert Wisniewski

  • A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization

    Lu Wang;Hema Raghavan;Vittorio Castelli;Radu Florian

  • Adaptive similarity searching in sequence databases

    Vittorio Castelli;Chung-Sheng Li;Philip Shi-lung Yu

  • CSVD: clustering and singular value decomposition for approximate similarity search in high-dimensional spaces

    V. Castelli;A. Thomasian;Chung-Sheng Li

  • MALM: a framework for mining sequence database at multiple abstraction levels

    Chung-Sheng Li;Philip S. Yu;Vittorio Castelli

  • Modifying an unreliable training set for supervised classification

    Vittorio Castelli;Sharmila Thadhani Hutchins;Chung-Sheng Li;John Joseph Edward Turek

  • Selective memory controller access path for directory caching

    Caroline Benveniste;Vittorio Castelli;Peter A. Franaszek

  • DocWizards: A System for Authoring Follow-me

    Lawrence Bergman;Vittorio Castelli;Tessa Lau;Daniel Oblinger

Frequent Co-Authors

Chung-Sheng Li
Chung-Sheng Li PricewaterhouseCoopers (United Kingdom)
John R. Smith
John R. Smith IBM (United States)
Alexander Thomasian
Alexander Thomasian IBM (United States)
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Clifford A. Pickover
Clifford A. Pickover IBM (United States)
Salim Roukos
Salim Roukos IBM (United States)
A. Hamilton Ii Rick
A. Hamilton Ii Rick Focused Ultrasound Foundation
Brian M. O'Connell
Brian M. O'Connell IBM (United States)
Philip Heidelberger
Philip Heidelberger IBM (United States)
Keith R. Walker
Keith R. Walker IBM (United States)

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