Graphics for data analysis. - Roy E. Welsch; Helge Bjaaland (SIGGRAPH, 1974)

Graphics for data analysis. - Roy E. Welsch (Comput. Graph., 1976)

Algorithm 573: NL2SOL - An Adaptive Nonlinear Least-Squares Algorithm [E4]. - John E. Dennis Jr.; David M. Gay; Roy E. Welsch (ACM Trans. Math. Softw., 1981)

Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models. - David S. Bunch; David M. Gay; Roy E. Welsch (ACM Trans. Math. Softw., 1993)

Sequential Screening in Semiconductor Manufacturing, I: Exploiting Spatial Dependence. - Mark D. Longtin; Lawrence M. Wein; Roy E. Welsch (Oper. Res., 1996)

Robust variable selection using least angle regression and elemental set sampling. - Lauren McCann; Roy E. Welsch (Comput. Stat. Data Anal., 2007)

Sub-population analysis based on temporal features of high content images. - Merlin Veronika; James Evans; Paul Matsudaira; Roy E. Welsch; Jagath C. Rajapakse (BMC Bioinform., 2009)

Quantification of Cytoskeletal Protein Localization from High-Content Images. - Shiwen Zhu; Paul Matsudaira; Roy E. Welsch; Jagath C. Rajapakse (PRIB, 2010)

Outlier detection and robust covariance estimation using mathematical programming. - Tri-Dung Nguyen; Roy E. Welsch (Adv. Data Anal. Classif., 2010)

Special issue on variable selection and robust procedures. - Stefan Van Aelst; Roy E. Welsch; Ruben H. Zamar (Comput. Stat. Data Anal., 2010)

A diagnostic method for simultaneous feature selection and outlier identification in linear regression. - Rajiv S. Menjoge; Roy E. Welsch (Comput. Stat. Data Anal., 2010)

Outlier detection and least trimmed squares approximation using semi-definite programming. - Tri-Dung Nguyen; Roy E. Welsch (Comput. Stat. Data Anal., 2010)

Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line. - Fransiskus Xaverius Ivan; Roy E. Welsch; Vincent T. K. Chow; Jagath C. Rajapakse (EMBC, 2011)

Automated scoring of liver fibrosis through combined features from different collagen groups. - Shuoyu Xu; Dean Tai; Aileen Wee; Roy E. Welsch; Peter So; Hanry Yu; Jagath C. Rajapakse (EMBC, 2011)

Correlation of cell membrane dynamics and cell motility. - Merlin Veronika; Roy E. Welsch; Alvin Ng; Paul Matsudaira; Jagath C. Rajapakse (BMC Bioinform., 2011)

MCAM: Multiple Clustering Analysis Methodology for Deriving Hypotheses and Insights from High-Throughput Proteomic Datasets. - Kristen M. Naegle; Roy E. Welsch; Michael B. Yaffe; Forest M. White; Douglas A. Lauffenburger (PLoS Comput. Biol., 2011)

Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression. - Piyushkumar A. Mundra; Jie Zheng 002; Mahesan Niranjan; Roy E. Welsch; Jagath C. Rajapakse (ISBRA, 2013)

A method to quantify co-localization in biological images. - Shiwen Zhu; Roy E. Welsch; Paul Matsudaira (EMBC, 2016)

The Univariate Flagging Algorithm (UFA): a Fully-Automated Approach for Identifying Optimal Thresholds in Data. - Mallory Bounds Sheth; Roy E. Welsch; Natasha Markuzon (CoRR, 2016)

Learning word dependencies in text by means of a deep recurrent belief network. - Iti Chaturvedi; Yew-Soon Ong; Ivor W. Tsang; Roy E. Welsch; Erik Cambria (Knowl. Based Syst., 2016)

Comprehensive Predictions of Tourists' Next Visit Location Based on Call Detail Records Using Machine Learning and Deep Learning Methods. - Nai Chun Chen; Wanqin Xie; Roy E. Welsch; Kent Larson; Jenny Xie (BigData Congress, 2017)

Natural language based financial forecasting: a survey. - Frank Z. Xing; Erik Cambria; Roy E. Welsch (Artif. Intell. Rev., 2018)

Intelligent Asset Allocation via Market Sentiment Views. - Frank Z. Xing; Erik Cambria; Roy E. Welsch (IEEE Comput. Intell. Mag., 2018)

Distinguishing between facts and opinions for sentiment analysis: Survey and challenges. - Iti Chaturvedi; Erik Cambria; Roy E. Welsch; Francisco Herrera (Inf. Fusion, 2018)

Arabia Felix 2.0: a cross-linguistic Twitter analysis of happiness patterns in the United Arab Emirates. - Aamna Al Shehhi; Justin Thomas; Roy E. Welsch; Ian Grey; Zeyar Aung (J. Big Data, 2019)

Growing semantic vines for robust asset allocation. - Frank Z. Xing; Erik Cambria; Roy E. Welsch (Knowl. Based Syst., 2019)

Genetic Programming for Domain Adaptation in Product Reviews. - Iti Chaturvedi; Erik Cambria; Sandro Cavallari; Roy E. Welsch (CEC, 2020)

A Study on Multidimensional Medical Data Processing Based on Random Forest. - Lifeng Zhang; Hongyan Cui; Roy E. Welsch (UV, 2020)

Dual Autoencoders Generative Adversarial Network for Imbalanced Classification Problem. - Ensen Wu; Hongyan Cui; Roy E. Welsch (IEEE Access, 2020)

Transcompp: understanding phenotypic plasticity by estimating Markov transition rates for cell state transitions. - N. Suhas Jagannathan; Mario O. Ihsan; Xiao Xuan Kin; Roy E. Welsch; Marie-Véronique Clément; Lisa Tucker-Kellogg (Bioinform., 2020)

Social Media Marketing and Financial Forecasting. - Frank Z. Xing; Soujanya Poria; Erik Cambria; Roy E. Welsch (Inf. Process. Manag., 2020)

Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks. - Iti Chaturvedi; Chit Lin Su; Roy E. Welsch (Cogn. Comput., 2021)

Predicting video engagement using heterogeneous DeepWalk. - Iti Chaturvedi; Kishor Thapa; Sandro Cavallari; Erik Cambria; Roy E. Welsch (Neurocomputing, 2021)

An Adaptive Routing Algorithm Based on Relation Tree in DTN. - Diyue Chen; Hongyan Cui; Roy E. Welsch (Sensors, 2021)

A Scheme for Flexible-Hybrid Subtask Offloading in a Two-Tier UAV- Assisted MEC Network. - Qiuji Luan; Hongyan Cui; Lifeng Zhang; Roy E. Welsch (ICC, 2022)

Treeago: Tree-structure aggregation and optimization for graph neural network. - Ensen Wu; Hongyan Cui; Zunming Chen; Roy E. Welsch (Neurocomputing, 2022)

Self-training method based on GCN for semi-supervised short text classification. - Hongyan Cui; Gangkun Wang; Yuanxin Li; Roy E. Welsch (Inf. Sci., 2022)

Gaussian correction for adversarial learning of boundaries. - Iti Chaturvedi; Qian Chen 033; Roy E. Welsch; Kishor Thapa; Erik Cambria (Signal Process. Image Commun., 2022)

Guest Editorial: Sentiment Analysis as a Multidisciplinary Research Area. - Erik Cambria; Frank Xing; Mike Thelwall; Roy E. Welsch (IEEE Trans. Artif. Intell., 2022)

A Dynamic Time Warping Based RBFNN Model for Multi-User Time Series Prediction. - Ensen Wu; Hongyan Cui; Xi Yu; Roy E. Welsch (GLOBECOM, 2023)

Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations. - Aamna Al Shehhi; Roy E. Welsch (J. Big Data, 2023)

Novel Alzheimer's Disease Stating Based on Comorbidities-Informed Graph Neural Networks. - Ferial AbuHantash; Mohd Khalil Abu Hantash; Roy E. Welsch; Mohamed Lamine Seghier; Leontios J. Hadjileontiadis; Aamna Al Shehhi (EMBC, 2024)

Aligning LLMs with Human Instructions and Stock Market Feedback in Financial Sentiment Analysis. - Zijie Zhao; Roy E. Welsch (CoRR, 2024)

Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution. - Zijie Zhao; Roy E. Welsch (CoRR, 2024)

Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers. - Charlene Zhi Lin Ong; N. Jannah M. Nasir; Roy E. Welsch; Lisa Tucker-Kellogg; Jagath C. Rajapakse (Frontiers Bioinform., 2024)

Barrier Function to Skin Elasticity in Talking Head. - Iti Chaturvedi; Vlad Pandelea; Erik Cambria; Roy E. Welsch; Bithin Datta (Cogn. Comput., 2024)