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Roy E. Welsch

Roy E. Welsch

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
22580
World Ranking
9305
National Ranking
2600

Research.com Recognitions

  • 1987 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1981 - Fellow of the American Statistical Association (ASA)

Overview

Roy E. Welsch is affiliated with MIT in the United States and works primarily in the field of Computer Science, with a focus on areas such as Artificial Intelligence, Statistics and Probability, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Endocrinology, Diabetes and Metabolism.

The scientist's recent published papers cover a range of topics and include:

  • "Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia" (2022), published in Nature Communications
  • "Self-training method based on GCN for semi-supervised short text classification" (2022), published in Information Sciences
  • "Dual Autoencoders Generative Adversarial Network for Imbalanced Classification Problem" (2020), published in IEEE Access
  • "Predicting video engagement using heterogeneous DeepWalk" (2021), published in Neurocomputing
  • "Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer's Disease and Autism Spectrum Disorder" (2020), published in NeuroImage Clinical

Frequent collaborators include:

  • Stan N. Finkelstein
  • Erik Cambria
  • Kenney Ng
  • Jagath C. Rajapakse
  • Lisa Tucker-Kellogg

Roy E. Welsch has contributed to several publication venues multiple times. The most frequent are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Neurocomputing
  • Cognitive Computation
  • bioRxiv (Cold Spring Harbor Laboratory)

The scientist's primary research topics include:

  • Advanced Causal Inference Techniques
  • Pressure Ulcer Prevention and Management
  • Stock Market Forecasting Methods
  • Statistical Methods and Inference
  • Diabetic Foot Ulcer Assessment and Management
  • Advanced Text Analysis Techniques
  • Health Systems, Economic Evaluations, Quality of Life

Throughout their career, Roy E. Welsch has been recognized as a Fellow by two major organizations: the American Association for the Advancement of Science (AAAS) in 1987 and the American Statistical Association (ASA) in 1981.

Best Publications

  • Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

    David A. Belsley;Edwin Kuh;Roy E. Welsch

  • The Hat Matrix in Regression and ANOVA

    David C. Hoaglin;Roy E. Welsch

  • Algorithm 573: NL2SOL—An Adaptive Nonlinear Least-Squares Algorithm [E4]

    John E. Dennis;Roy E. Welsch

  • Efficient Bounded-Influence Regression Estimation

    William S. Krasker;Roy E. Welsch

  • Efficient Computing of Regression Diagnostics

    Paul F. Velleman;Roy E. Welsch

  • Natural language based financial forecasting: a survey

    Frank Z. Xing;Erik Cambria;Roy E. Welsch

  • Descriptors of Oxygen-Evolution Activity for Oxides: A Statistical Evaluation

    Wesley Terrence Hong;Roy E Welsch;Yang Shao-Horn

  • Stepwise Multiple Comparison Procedures

    Roy E. Welsch

  • Distinguishing between facts and opinions for sentiment analysis: survey and challenges

    Iti Chaturvedi;Erik Cambria;Roy E. Welsch;Francisco Herrera

  • Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring

    Lishuai Li;R. John Hansman;Rafael Palacios;Roy Welsch

  • Techniques for nonlinear least squares and robust regression

    John E. Dennis;Roy E. Welsch

  • Linear regression diagnostics

    Roy E. Welsch;Edwin Kuh

  • Logistics agglomeration in the US

    Liliana Rivera;Yossi Sheffi;Roy Welsch

  • Regression Sensitivity Analysis and Bounded-Influence Estimation

    Roy E. Welsch

  • Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models

    David S. Bunch;Roy E. Welsch

  • Intelligent Asset Allocation via Market Sentiment Views

    Frank Z. Xing;Erik Cambria;Roy E. Welsch

  • Detecting and Assessing Collinearity

    David A. Belsley;Edwin Kuh;Roy E. Welsch

  • INFLUENCE FUNCTIONS AND REGRESSION DIAGNOSTICS

    Roy E. Welsch

  • Deep learning enables automated scoring of liver fibrosis stages

    Yang Yu;Jiahao Wang;Chan Way Ng;Yukun Ma

  • Learning word dependencies in text by means of a deep recurrent belief network

    Iti Chaturvedi;Yew-Soon Ong;Ivor W. Tsang;Roy E. Welsch

Frequent Co-Authors

Jagath C. Rajapakse
Jagath C. Rajapakse Nanyang Technological University
Erik Cambria
Erik Cambria Nanyang Technological University
Paul Matsudaira
Paul Matsudaira National University of Singapore
Hanry Yu
Hanry Yu National University of Singapore
John E. Dennis
John E. Dennis Rice University
Vincent T. K. Chow
Vincent T. K. Chow National University of Singapore
Patrick Tan
Patrick Tan Duke NUS Graduate Medical School
Jie Yan
Jie Yan National University of Singapore
Sanford Weisberg
Sanford Weisberg University of Minnesota

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