Roy E. Welsch

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Robust dependence modeling for high-dimensional covariance matrices with financial applications

Zhe Zhu, Roy E. Welsch, R. Welsch, 2018, The Annals of Applied Statistics.

Handouts for the Instructional Meeting on "Robust Statistical Methods"

Roy E. Welsch, Werner A. Stahel, Frank R. Hampel, 1982 .

Comparing and Visualizing Gene Selection and Classification Methods for Microarray Data

Roy E. Welsch, Rajiv S. Menjoge, 2008 .

Computational Procedures for Bounded-Influence Regression

Roy E. Welsch, A. M. Samarov, 1982 .

Statistical analysis of drug treated cell morphologies from HCS image data

Roy E. Welsch, Jagath C. Rajapakse, James G. Evans, 2008 .

Algorithms for Robust Model Selection in Linear Regression

Roy E. Welsch, Stephan Morgenthaler, Andrei Zenide, 2004 .

Research Issues and Directions for Extensions

Roy E. Welsch, David A. Belsley, Edwin Kuh, 2005 .

Proceedings of the Ninth Interface Symposium on Computer Science and Statistics, Harvard University, Massachusetts Institute of Technology, April 1-2, 1976

Roy E. Welsch, David C. Hoaglin, 1976 .

Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line

Roy E. Welsch, Jagath C. Rajapakse, Vincent T. K. Chow, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Regression Sensitivity Analysis and Bounded-Influence Estimation

Roy E. Welsch, R. Welsch, 1980 .

Sequential Screening in Semiconductor Manufacturing, I: Exploiting Spatial Dependence

Roy E. Welsch, Lawrence M. Wein, Mark D. Longtin, 1996, Oper. Res..

Tables for stepwise multiple comparison procedures

Roy E. Welsch, 1977 .

Graphics for data analysis

Roy E. Welsch, Helge Bjaaland, 1974, SIGGRAPH '74.

Natural language based financial forecasting: a survey

Erik Cambria, Roy E. Welsch, Frank Z. Xing, 2017, Artificial Intelligence Review.

Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression

Roy E. Welsch, Mahesan Niranjan, Jagath C. Rajapakse, 2013, ISBRA.

Multiple Comparison Procedures Based on Gaps

Roy E. Welsch, 2015 .

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

Roy E. Welsch, David M. Gay, David S. Bunch, 1993, TOMS.

Robust variable selection using least angle regression and elemental set sampling

Roy E. Welsch, Lauren McCann, R. Welsch, 2007, Comput. Stat. Data Anal..

Automated scoring of liver fibrosis through combined features from different collagen groups

Roy E. Welsch, Hanry Yu, Jagath C. Rajapakse, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Kernel dependence analysis and graph structure morphing for novelty detection with high-dimensional small size data set

Roy E. Welsch, Oral Buyukozturk, Reza Mohammadi-Ghazi, 2020 .

Theoretical Underpinnings on Text Mining

Erik Cambria, Roy E. Welsch, Frank Z. Xing, 2019, Intelligent Asset Management.

Comprehensive Predictions of Tourists' Next Visit Location Based on Call Detail Records Using Machine Learning and Deep Learning Methods

Roy E. Welsch, Kent Larson, N. C. Chen, 2017, 2017 IEEE International Congress on Big Data (BigData Congress).

MCAM: Multiple Clustering Analysis Methodology for Deriving Hypotheses and Insights from High-Throughput Proteomic Datasets

Roy E. Welsch, Kristen M. Naegle, Forest M. White, 2011, PLoS Comput. Biol..

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

Ivor W. Tsang, Erik Cambria, Roy E. Welsch, 2016, Knowl. Based Syst..

Storage and Update of Knowledge

Erik Cambria, Roy E. Welsch, Frank Z. Xing, 2019, Intelligent Asset Management.

Intelligent Asset Allocation via Market Sentiment Views

Erik Cambria, Roy E. Welsch, Frank Z. Xing, 2018, IEEE Computational Intelligence Magazine.

Distinguishing between facts and opinions for sentiment analysis: Survey and challenges

Francisco Herrera, Erik Cambria, Roy E. Welsch, 2018, Inf. Fusion.

Dual Autoencoders Generative Adversarial Network for Imbalanced Classification Problem

Roy E. Welsch, Hongyan Cui, Ensen Wu, 2020, IEEE Access.

A method to quantify co-localization in biological images

Roy E. Welsch, Paul Matsudaira, Shiwen Zhu, 2016, EMBC.

Quantification of Cytoskeletal Protein Localization from High-Content Images

Roy E. Welsch, Jagath C. Rajapakse, Paul Matsudaira, 2010, PRIB.

Sub-population analysis based on temporal features of high content images

Roy E. Welsch, Jagath C. Rajapakse, James Evans, 2009, BMC Bioinformatics.

The Use of Bounded-Influence Regression in Data Analysis: Theory, Computation, and Graphics

Roy E. Welsch, William S. Krasker, 1983 .

Genetic Programming for Domain Adaptation in Product Reviews

Erik Cambria, Roy E. Welsch, Iti Chaturvedi, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Social Media Marketing and Financial Forecasting

Erik Cambria, Roy E. Welsch, Soujanya Poria, 2020, Inf. Process. Manag..

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

Roy E. Welsch, Rafael Palacios, R. John Hansman, 2016 .

Efficient Computing of Regression Diagnostics

Roy E. Welsch, Paul F. Velleman, Paul F. Velleman, 1981 .

Growing semantic vines for robust asset allocation

Erik Cambria, Roy E. Welsch, Frank Z. Xing, 2019, Knowl. Based Syst..

Computer Guided Diagnostics

Roy E. Welsch, David A. Belsley, David A. Belsley, 1988 .

Data Analysis, Communication, and Control

Roy E. Welsch, 1974 .

Estimation for dirty data and flawed models

Roy E. Welsch, Edwin Kuh, William S. Krasker, 1983 .

Computational Semantics for Asset Correlations

Erik Cambria, Roy E. Welsch, Frank Xing, 2019, Intelligent Asset Management.

Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer’s Disease and Autism Spectrum Disorder

Roy E. Welsch, Jagath C. Rajapakse, Sukrit Gupta, 2020, NeuroImage: Clinical.

Outlier detection and robust covariance estimation using mathematical programming

Tri-Dung Nguyen, Roy E. Welsch, R. Welsch, 2010, Adv. Data Anal. Classif..

Graphics for data analysis

Roy E. Welsch, 1976, Comput. Graph..

Correlation of cell membrane dynamics and cell motility

Roy E. Welsch, Jagath C. Rajapakse, Paul Matsudaira, 2011, BMC Bioinformatics.

Special issue on variable selection and robust procedures

Stefan Van Aelst, Ruben H. Zamar, Roy E. Welsch, 2010, Comput. Stat. Data Anal..

Literature Review and Preliminaries

Erik Cambria, Roy E. Welsch, Frank Z. Xing, 2019, Intelligent Asset Management.

A diagnostic method for simultaneous feature selection and outlier identification in linear regression

Roy E. Welsch, Rajiv S. Menjoge, R. Welsch, 2010, Comput. Stat. Data Anal..

Predicting video engagement using heterogeneous DeepWalk

Erik Cambria, Roy E. Welsch, Iti Chaturvedi, 2021, Neurocomputing.

An Adaptive Routing Algorithm Based on Relation Tree in DTN

Roy E. Welsch, Hongyan Cui, Diyue Chen, 2021, Sensors.

Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks

Roy E. Welsch, Iti Chaturvedi, Chit Lin Su, 2021, Cogn. Comput..

Robust Portfolio Optimization

Roy E. Welsch, A. M. Samarov, G. J. Lauprete, 2002 .

Multi-Strata Stealth Dicing Before Grinding for Singulation-Defects Elimination and Die Strength Enhancement: Experiment and Simulation

Roy E. Welsch, Duane S. Boning, Weng Hong Teh, 2015, IEEE Transactions on Semiconductor Manufacturing.

On evaluating interactive statistical program packages

Roy E. Welsch, Paul F. Velleman, R. Welsch, 1976 .

Detecting and Assessing Collinearity

Roy E. Welsch, David A. Belsley, Edwin Kuh, 2005 .

Multivariate Statistical Process Control and Signature Analysis Using Eigenfactor Detection Methods

Roy E. Welsch, Duane S. Boning, Kuang-Han Chen, 1999 .

Regression Diagnostics with Dynamic Graphics: [With Discussions and Response]

Roy E. Welsch, Daniel B. Carr, Anthony C. Atkinson, 1989 .

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

Roy E. Welsch, Yang Shao-Horn, R. Welsch, 2016 .

Logistics agglomeration in the US

Roy E. Welsch, Yossi Sheffi, R. Welsch, 2014 .

Maximum Likelihood and Quasi-Likelihood for Nonlinear Exponential Family Regression Models

Roy E. Welsch, R. Welsch, 1988 .

Detecting Influential Observations and Outliers

Roy E. Welsch, David A. Belsley, Edwin Kuh, 2005 .

A Convergence Theorem for Extreme Values From Gaussian Sequences

Roy E. Welsch, R. Welsch, 2013 .

Regression diagnostics with dynamic graphics (with discussion)

Roy E. Welsch, Daniel B. Carr, Anthony C. Atkinson, 1989 .

Modeling Energy Consumption--Using and Abusing Regression Diagnostics: Comment [Combining Robust and Traditional Least Squares Methods: A Critical Evaluation]

Roy E. Welsch, David A. Belsley, R. Welsch, 1988 .

Intelligent Bayesian Asset Allocation via Market Sentiment Views

Erik Cambria, Roy E. Welsch, Frank Z. Xing, 2018 .

Experimenting Liver Fibrosis Diagnostic by Two Photon Excitation Microscopy and Bag-of-Features Image Classification

Roy E. Welsch, Hanry Yu, Peter T. C. So, 2014, Scientific Reports.