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D-Index & Metrics

Computer Science

D-Index
44
Citations
12718
World Ranking
7410
National Ranking
3231

Overview

David Jensen is affiliated with the University of Massachusetts Amherst in the United States and specializes in the field of Computer Science with a focus on Artificial Intelligence. Their research portfolio spans several subfields including Artificial Intelligence, Statistics and Probability, Astronomy and Astrophysics, Computational Theory and Mathematics, and Physiology.

Their work covers a range of main topics that include:

  • Advanced Causal Inference Techniques
  • Reinforcement Learning in Robotics
  • Adversarial Robustness in Machine Learning
  • Bayesian Modeling and Causal Inference
  • Explainable Artificial Intelligence (XAI)
  • Astro and Planetary Science
  • Stellar, planetary, and galactic studies

Recent publications authored or coauthored by David Jensen include:

  • "Measuring and characterizing generalization in deep reinforcement learning," 2021, Applied AI Letters
  • "Causal Inference using Gaussian Processes with Structured Latent Confounders," 2020, arXiv (Cornell University)
  • "Beyond Point Masses. II. Non-Keplerian Shape Effects Are Detectable in Several TNO Binaries," 2024, The Astronomical Journal
  • "Improving Causal Inference by Increasing Model Expressiveness," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference," 2020, arXiv (Cornell University)

David Jensen frequently collaborates with several researchers, including:

  • Sam Witty
  • Purva Pruthi
  • Emma Tosch
  • Michael L. Littman
  • Amanda Gentzel

Their published work appears regularly in venues such as:

  • arXiv (Cornell University)
  • The Astronomical Journal
  • Applied AI Letters
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Neuroscience Applied

Best Publications

  • MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks

    J. Burgess;B. Gallagher;D. Jensen;B. N. Levine

  • Resisting structural re-identification in anonymized social networks

    Michael Hay;Gerome Miklau;David Jensen;Don Towsley

  • Efficient progressive sampling

    Foster Provost;David Jensen;Tim Oates

  • Iterative Classification in Relational Data

    Jennifer Neville;David Jensen

  • Anonymizing Social Networks

    Michael Hay;Gerome Miklau;David Jensen;Philipp Weis

  • Accurate Estimation of the Degree Distribution of Private Networks

    Michael Hay;Chao Li;Gerome Miklau;David Jensen

  • Relational Dependency Networks

    Jennifer Neville;David Jensen

  • Why collective inference improves relational classification

    David Jensen;Jennifer Neville;Brian Gallagher

  • Privacy vulnerabilities in encrypted HTTP streams

    George Dean Bissias;Marc Liberatore;David Jensen;Brian Neil Levine

  • Multiple Comparisons in Induction Algorithms

    David D. Jensen;Paul R. Cohen

  • Learning relational probability trees

    Jennifer Neville;David Jensen;Lisa Friedland;Michael Hay

  • Mining of Concurrent Text and Time Series

    Victor Lavrenko;Matt Schmill;Dawn Lawrie;Paul Ogilvie

  • Graph clustering with network structure indices

    Matthew J. Rattigan;Marc Maier;David Jensen

  • The Effects of Training Set Size on Decision Tree Complexity

    Tim Oates;David Jensen

  • Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning

    David Jensen;Jennifer Neville

  • Recommending citations for academic papers

    Trevor Strohman;W. Bruce Croft;David Jensen

  • Language models for financial news recommendation

    Victor Lavrenko;Matt Schmill;Dawn Lawrie;Paul Ogilvie

  • Detecting insider threats in a real corporate database of computer usage activity

    Ted E. Senator;Henry G. Goldberg;Alex Memory;William T. Young

  • Leveraging relational autocorrelation with latent group models

    Jennifer Neville;David Jensen

  • Collective classification with relational dependency networks

    David Jensen

Frequent Co-Authors

Jennifer Neville
Jennifer Neville Purdue University West Lafayette
Tim Oates
Tim Oates University of Maryland, Baltimore County
Gerome Miklau
Gerome Miklau University of Massachusetts Amherst
Don Towsley
Don Towsley University of Massachusetts Amherst
Paul R. Cohen
Paul R. Cohen University of Pittsburgh
Victor Lesser
Victor Lesser University of Massachusetts Amherst
Brian Neil Levine
Brian Neil Levine University of Massachusetts Amherst
Benyuan Liu
Benyuan Liu University of Massachusetts Lowell
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
James Allan
James Allan University of Massachusetts Amherst

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