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Computer Science

D-Index
34
Citations
10303
World Ranking
11900
National Ranking
4852

Overview

Razvan Bunescu is affiliated with the University of North Carolina at Charlotte in the United States. Their research spans several fields within computer science, with a particular focus on artificial intelligence and its applications.

The scientist has contributed to a range of subfields, including:

  • Artificial Intelligence
  • Astronomy and Astrophysics
  • Molecular Biology
  • Endocrinology, Diabetes and Metabolism
  • Signal Processing

Their main topics of research cover diverse areas such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Galaxies: Formation, Evolution, Phenomena
  • Gamma-ray bursts and supernovae
  • Diabetes Management and Research
  • Language, Metaphor, and Cognition
  • Advanced Text Analysis Techniques

Razvan Bunescu has published frequently in a variety of academic venues, including:

  • arXiv (Cornell University)
  • Monthly Notices of the Royal Astronomical Society
  • Sensors
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Information Processing & Management

Among the recent papers authored or coauthored by Razvan Bunescu are:

  • Improving galaxy clustering measurements with deep learning: analysis of the DECaLS DR7 data, 2020, Monthly Notices of the Royal Astronomical Society
  • Primordial non-Gaussianity from the completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey - I: Catalogue preparation and systematic mitigation, 2021, Monthly Notices of the Royal Astronomical Society
  • LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management, 2021, Sensors
  • Hardware-Level Thread Migration to Reduce On-Chip Data Movement Via Reinforcement Learning, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Changing the narrative perspective: From deictic to anaphoric point of view, 2021, Information Processing & Management

The scientist collaborates with multiple frequent coauthors, including:

  • Avinash Karanth
  • Erfan Al-Hossami
  • Cindy Marling
  • Ahmed Louri
  • Mehdi Rezaie

Best Publications

  • A Shortest Path Dependency Kernel for Relation Extraction

    Razvan Bunescu;Raymond Mooney

  • Using Encyclopedic Knowledge for Named Entity Disambiguation

    Razvan C. Bunescu;Marius Pasca

  • Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques

    J. Yi;T. Nasukawa;R. Bunescu;W. Niblack

  • Subsequence Kernels for Relation Extraction

    Raymond J. Mooney;Razvan C. Bunescu

  • Comparative experiments on learning information extractors for proteins and their interactions

    Razvan Bunescu;Ruifang Ge;Rohit J. Kate;Edward M. Marcotte

  • FALCON: Boosting Knowledge for Answer Engines

    Sanda M. Harabagiu;Dan I. Moldovan;Marius. Paşca;Rada Mihalcea

  • Mining knowledge from text using information extraction

    Raymond J. Mooney;Razvan Bunescu

  • Learning to Extract Relations from the Web using Minimal Supervision

    Razvan Bunescu;Raymond Mooney

  • Learning to rank relevant files for bug reports using domain knowledge

    Xin Ye;Razvan Bunescu;Chang Liu

  • From word embeddings to document similarities for improved information retrieval in software engineering

    Xin Ye;Hui Shen;Xiao Ma;Razvan Bunescu

  • Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments

    Michael Mohler;Razvan Bunescu;Rada Mihalcea

  • Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome

    Arun K Ramani;Razvan C Bunescu;Raymond J Mooney;Edward M Marcotte

  • Multiple instance learning for sparse positive bags

    Razvan C. Bunescu;Raymond J. Mooney

  • Disambiguation of named entities

    Razvan Constantin Bunescu;Alexandru Marius Pasca

  • Collective Information Extraction with Relational Markov Networks

    Razvan Bunescu;Raymond Mooney

  • A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management

    Kevin Plis;Razvan C. Bunescu;Cindy Marling;Jay Shubrook

  • The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering

    Sanda Harabagiu;Dan Moldovan;Marius Pasca;Rada Mihalcea

  • Text and knowledge mining for coreference resolution

    Sanda M. Harabagiu;Rǎzvan C. Bunescu;Steven J. Maiorano

  • Answering complex, list and context questions with LCC's Question-Answering Server

    Sanda M. Harabagiu;Dan I. Moldovan;Marius. Paşca;Mihai Surdeanu

  • Method and system for extracting opinions from text documents

    Jeonghee Yi;Tetsuya Nasukawa;Razvan Constantin Bunescu

  • GCNAX: A Flexible and Energy-efficient Accelerator for Graph Convolutional Neural Networks

    Jiajun Li;Ahmed Louri;Avinash Karanth;Razvan Bunescu

  • The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020.

    Cindy Marling;Razvan C. Bunescu

Frequent Co-Authors

Raymond J. Mooney
Raymond J. Mooney The University of Texas at Austin
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Edward M. Marcotte
Edward M. Marcotte The University of Texas at Austin
Li Xu
Li Xu Tsinghua University
Sanda M. Harabagiu
Sanda M. Harabagiu The University of Texas at Dallas
Mihai Surdeanu
Mihai Surdeanu University of Arizona
Will J. Percival
Will J. Percival University of Waterloo
Scott Cohen
Scott Cohen Adobe Systems (United States)
Dan Moldovan
Dan Moldovan The University of Texas at Dallas
Ryan Chornock
Ryan Chornock Northwestern University

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