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2020 – today
- 2023
[j29]Aamna Al Shehhi, Roy E. Welsch:
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations. J. Big Data 10(1): 92 (2023)- [c11]Ensen Wu, Hongyan Cui, Xi Yu, Roy E. Welsch:
A Dynamic Time Warping Based RBFNN Model for Multi-User Time Series Prediction. GLOBECOM 2023: 6438-6443 - 2022
- [j28]Ensen Wu, Hongyan Cui, Zunming Chen, Roy E. Welsch:
Treeago: Tree-structure aggregation and optimization for graph neural network. Neurocomputing 489: 429-440 (2022) - [j27]Hongyan Cui, Gangkun Wang, Yuanxin Li, Roy E. Welsch:
Self-training method based on GCN for semi-supervised short text classification. Inf. Sci. 611: 18-29 (2022) - [j26]Iti Chaturvedi
, Qian Chen, Roy E. Welsch, Kishor Thapa, Erik Cambria:
Gaussian correction for adversarial learning of boundaries. Signal Process. Image Commun. 109: 116841 (2022) - [j25]Erik Cambria, Frank Xing, Mike Thelwall, Roy E. Welsch:
Guest Editorial: Sentiment Analysis as a Multidisciplinary Research Area. IEEE Trans. Artif. Intell. 3(5): 638-641 (2022) - [c10]Qiuji Luan, Hongyan Cui, Lifeng Zhang, Roy E. Welsch:
A Scheme for Flexible-Hybrid Subtask Offloading in a Two-Tier UAV- Assisted MEC Network. ICC 2022: 1-6 - 2021
- [j24]Iti Chaturvedi, Chit Lin Su, Roy E. Welsch:
Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks. Cogn. Comput. 13(1): 96-107 (2021) - [j23]Iti Chaturvedi, Kishor Thapa, Sandro Cavallari, Erik Cambria, Roy E. Welsch:
Predicting video engagement using heterogeneous DeepWalk. Neurocomputing 465: 228-237 (2021) - [j22]Diyue Chen, Hongyan Cui, Roy E. Welsch:
An Adaptive Routing Algorithm Based on Relation Tree in DTN. Sensors 21(23): 7847 (2021) - 2020
- [j21]Ensen Wu, Hongyan Cui, Roy E. Welsch:
Dual Autoencoders Generative Adversarial Network for Imbalanced Classification Problem. IEEE Access 8: 91265-91275 (2020) - [j20]N. Suhas Jagannathan, Mario O. Ihsan, Xiao Xuan Kin, Roy E. Welsch, Marie-Véronique Clément, Lisa Tucker-Kellogg:
Transcompp: understanding phenotypic plasticity by estimating Markov transition rates for cell state transitions. Bioinform. 36(9): 2813-2820 (2020) - [j19]Frank Z. Xing, Soujanya Poria, Erik Cambria, Roy E. Welsch:
Social Media Marketing and Financial Forecasting. Inf. Process. Manag. 57(5): 102314 (2020) - [c9]Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Roy E. Welsch:
Genetic Programming for Domain Adaptation in Product Reviews. CEC 2020: 1-8 - [c8]Lifeng Zhang, Hongyan Cui, Roy E. Welsch:
A Study on Multidimensional Medical Data Processing Based on Random Forest. UV 2020: 1-5
2010 – 2019
- 2019
- [j18]Aamna Al Shehhi, Justin Thomas, Roy E. Welsch, Ian Grey, Zeyar Aung:
Arabia Felix 2.0: a cross-linguistic Twitter analysis of happiness patterns in the United Arab Emirates. J. Big Data 6: 33 (2019) - [j17]Frank Z. Xing, Erik Cambria, Roy E. Welsch:
Growing semantic vines for robust asset allocation. Knowl. Based Syst. 165: 297-305 (2019) - 2018
- [j16]Frank Z. Xing, Erik Cambria, Roy E. Welsch:
Natural language based financial forecasting: a survey. Artif. Intell. Rev. 50(1): 49-73 (2018) - [j15]Frank Z. Xing, Erik Cambria, Roy E. Welsch:
Intelligent Asset Allocation via Market Sentiment Views. IEEE Comput. Intell. Mag. 13(4): 25-34 (2018) - [j14]Iti Chaturvedi, Erik Cambria, Roy E. Welsch, Francisco Herrera:
Distinguishing between facts and opinions for sentiment analysis: Survey and challenges. Inf. Fusion 44: 65-77 (2018) - 2017
- [c7]Nai Chun Chen, Wanqin Xie, Roy E. Welsch, Kent Larson, Jenny Xie:
Comprehensive Predictions of Tourists' Next Visit Location Based on Call Detail Records Using Machine Learning and Deep Learning Methods. BigData Congress 2017: 1-6 - 2016
- [j13]Iti Chaturvedi, Yew-Soon Ong, Ivor W. Tsang, Roy E. Welsch, Erik Cambria:
Learning word dependencies in text by means of a deep recurrent belief network. Knowl. Based Syst. 108: 144-154 (2016) - [c6]Shiwen Zhu, Roy E. Welsch, Paul Matsudaira:
A method to quantify co-localization in biological images. EMBC 2016: 3887-3890 - [i1]Mallory Bounds Sheth, Roy E. Welsch, Natasha Markuzon:
The Univariate Flagging Algorithm (UFA): a Fully-Automated Approach for Identifying Optimal Thresholds in Data. CoRR abs/1604.03248 (2016) - 2013
- [c5]Piyushkumar A. Mundra, Jie Zheng, Mahesan Niranjan, Roy E. Welsch, Jagath C. Rajapakse:
Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression. ISBRA 2013: 64-75 - 2011
- [j12]Merlin Veronika, Roy E. Welsch, Alvin Ng, Paul Matsudaira, Jagath C. Rajapakse:
Correlation of cell membrane dynamics and cell motility. BMC Bioinform. 12(S-13): S19 (2011) - [j11]Kristen M. Naegle, Roy E. Welsch, Michael B. Yaffe, Forest M. White, Douglas A. Lauffenburger:
MCAM: Multiple Clustering Analysis Methodology for Deriving Hypotheses and Insights from High-Throughput Proteomic Datasets. PLoS Comput. Biol. 7(7) (2011) - [c4]Shuoyu Xu, Dean Tai, Aileen Wee, Roy E. Welsch, Peter So, Hanry Yu, Jagath C. Rajapakse:
Automated scoring of liver fibrosis through combined features from different collagen groups. EMBC 2011: 4503-4506 - [c3]Fransiskus Xaverius Ivan, Roy E. Welsch, Vincent T. K. Chow, Jagath C. Rajapakse:
Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line. EMBC 2011: 6001-6004 - 2010
- [j10]Tri-Dung Nguyen, Roy E. Welsch:
Outlier detection and robust covariance estimation using mathematical programming. Adv. Data Anal. Classif. 4(4): 301-334 (2010) - [j9]Stefan Van Aelst, Roy E. Welsch, Ruben H. Zamar:
Special issue on variable selection and robust procedures. Comput. Stat. Data Anal. 54(12): 2879-2882 (2010) - [j8]Rajiv S. Menjoge, Roy E. Welsch:
A diagnostic method for simultaneous feature selection and outlier identification in linear regression. Comput. Stat. Data Anal. 54(12): 3181-3193 (2010) - [j7]Tri-Dung Nguyen, Roy E. Welsch:
Outlier detection and least trimmed squares approximation using semi-definite programming. Comput. Stat. Data Anal. 54(12): 3212-3226 (2010) - [c2]Shiwen Zhu, Paul Matsudaira, Roy E. Welsch, Jagath C. Rajapakse:
Quantification of Cytoskeletal Protein Localization from High-Content Images. PRIB 2010: 289-300
2000 – 2009
- 2009
- [j6]Merlin Veronika, James Evans, Paul Matsudaira, Roy E. Welsch, Jagath C. Rajapakse:
Sub-population analysis based on temporal features of high content images. BMC Bioinform. 10(S-15): 4 (2009) - 2007
- [j5]Lauren McCann, Roy E. Welsch:
Robust variable selection using least angle regression and elemental set sampling. Comput. Stat. Data Anal. 52(1): 249-257 (2007)
1990 – 1999
- 1996
- [j4]Mark D. Longtin, Lawrence M. Wein, Roy E. Welsch:
Sequential Screening in Semiconductor Manufacturing, I: Exploiting Spatial Dependence. Oper. Res. 44(1): 173-195 (1996) - 1993
- [j3]David S. Bunch, David M. Gay, Roy E. Welsch:
Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models. ACM Trans. Math. Softw. 19(1): 109-130 (1993)
1980 – 1989
- 1981
- [j2]John E. Dennis Jr., David M. Gay, Roy E. Welsch:
Algorithm 573: NL2SOL - An Adaptive Nonlinear Least-Squares Algorithm [E4]. ACM Trans. Math. Softw. 7(3): 369-383 (1981)
1970 – 1979
- 1976
- [j1]Roy E. Welsch:
Graphics for data analysis. Comput. Graph. 2(1): 31-37 (1976) - 1974
- [c1]Roy E. Welsch, Helge Bjaaland:
Graphics for data analysis. SIGGRAPH 1974: 74
Coauthor Index
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