Yixin Chen

According to our database, Yixin Chen authored at least 69 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploring Fairness-Accuracy Trade-Offs in Binary Classification: A Comparative Analysis Using Modified Loss Functions.

Christina Trotter, Yixin Chen

Proceedings of the 2024 ACM Southeast Conference, 2024

Toshakhana: A Multidimensional Panjabi Corpus in Gurmukhi Script.

Arvinder Kang, Thai Le, Yixin Chen

Proceedings of the 2024 ACM Southeast Conference, 2024

2022

One-Class Model for Fabric Defect Detection.

Hao Zhou, Yixin Chen, David Troendle, Byunghyun Jang

CoRR, 2022

2021

Estimating Feature-Label Dependence Using Gini Distance Statistics.

Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Detection of local structures in images using local entropy information.

Torumoy Ghoshal, Yixin Chen

Proceedings of the ACM SE '21: 2021 ACM Southeast Conference, 2021

2020

A Lightweight Fault Localization Approach based on XGBoost.

Bo Yang, Yuze He, Huai Liu, Yixin Chen, Zhi Jin

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Exploring Faster RCNN for Fabric Defect Detection.

Hao Zhou, Byunghyun Jang, Yixin Chen, David Troendle

Proceedings of the Third International Conference on Artificial Intelligence for Industries, 2020

2019

A comparative study of multiclass feature selection on RNAseq and microarray data.

Silu Zhang, Junqing Wang, Keli Xu, Megan M. York, Yin-yuan Mo, Yixin Chen, Yunyun Zhou

Int. J. Comput. Biol. Drug Des., 2019

Improving Performance of Convolutional Neural Networks via Feature Embedding.

Torumoy Ghoshal, Silu Zhang, Xin Dang, Dawn Wilkins, Yixin Chen

Proceedings of the 2019 ACM Southeast Conference, 2019

2018

Pareto cascade modeling of diffusion networks.

Christopher Ma, Xin Dang, Yixin Chen, Dawn Wilkins

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Integration of Cancer Data through Multiple Mixed Graphical Model.

Christopher Ma, Tina Gui, Xin Dang, Yixin Chen, Dawn Wilkins

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

A Probabilistic Approach to Multiple-Instance Learning.

Silu Zhang, Yixin Chen, Dawn Wilkins

Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

Label confidence based AdaBoost algorithm.

Zhe Luo, Xin Dang, Yixin Chen

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Novel gene selection method for breast cancer intrinsic subtypes from two large cohort study.

Silu Zhang, Yin-yuan Mo, Torumoy Ghoshal, Dawn Wilkins, Yixin Chen, Yunyun Zhou

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2015

Robust Model-Based Learning via Spatial-EM Algorithm.

Kai Yu, Xin Dang, Henry L. Bart Jr., Yixin Chen

IEEE Trans. Knowl. Data Eng., 2015

A generative Bayesian model to identify cancer driver genes.

Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Learning accurate and interpretable models based on regularized random forests regression.

Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins

BMC Syst. Biol., 2014

Ranking of cancer genes in Markov chain model through integration of heterogeneous sources of data.

Christopher Ma, Yixin Chen, Dawn Wilkins

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Drug activity prediction using multiple-instance learning via joint instance and feature selection.

Zhendong Zhao, Gang Fu, Sheng Liu, Khaled M. Elokely, Robert J. Doerksen, Yixin Chen, Dawn Wilkins

BMC Bioinform., 2013

Rule based regression and feature selection for biological data.

Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Multiclass classification with potential function rules: Margin distribution and generalization.

Fei Teng, Yixin Chen, Xin Dang

Pattern Recognit., 2012

Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data.

Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins

Neurocomputing, 2012

Large margin classifiers and Random Forests for integrated biological prediction.

Sheng Liu, Yixin Chen, Dawn Wilkins

Int. J. Bioinform. Res. Appl., 2012

Implementation of multiple-instance learning in drug activity prediction.

Gang Fu, Xiaofei Nan, Haining Liu, Ronak Y. Patel, Pankaj R. Daga, Yixin Chen, Dawn Wilkins, Robert J. Doerksen

BMC Bioinform., 2012

MySQL and the trouble with temporal data.

Chad Vicknair, Dawn Wilkins, Yixin Chen

Proceedings of the 50th Annual Southeast Regional Conference, 2012

An open source stimulator for SSVEP-based BCIs.

Jason Boyd, Yixin Chen

Proceedings of the 50th Annual Southeast Regional Conference, 2012

2011

Square or Sine: Finding a Waveform with High Success Rate of Eliciting SSVEP.

Fei Teng, Yixin Chen, Aik Min Choong, Scott Gustafson, Christopher Reichley, Pamela B. Lawhead, Dwight Waddell

Comput. Intell. Neurosci., 2011

Leveraging domain information to restructure biological prediction.

Xiaofei Nan, Gang Fu, Zhengdong Zhao, Sheng Liu, Ronak Y. Patel, Haining Liu, Pankaj R. Daga, Robert J. Doerksen, Xin Dang, Yixin Chen, Dawn Wilkins

BMC Bioinform., 2011

Multi-class Joint Rule Extraction and Feature Selection for Biological Data.

Sheng Liu, Ronak Y. Patel, Pankaj R. Daga, Haining Liu, Gang Fu, Robert J. Doerksen, Yixin Chen, Dawn Wilkins

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

Joint feature selection and classification for taxonomic problems within fish species complexes.

Yixin Chen, Shuqing Huang, Huimin Chen, Henry L. Bart Jr.

Pattern Anal. Appl., 2010

Gene selection using 1-norm regularization for multi-class microarray data.

Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

A comparison of a graph database and a relational database: a data provenance perspective.

Chad Vicknair, Michael Macias, Zhendong Zhao, Xiaofei Nan, Yixin Chen, Dawn Wilkins

Proceedings of the 48th Annual Southeast Regional Conference, 2010

Steady state visual evoked potentials by dual sine waves.

Fei Teng, Aik Min Choong, Scott Gustafson, Dwight Waddell, Pamela B. Lawhead, Yixin Chen

Proceedings of the 48th Annual Southeast Regional Conference, 2010

Learning to rank using 1-norm regularization and convex hull reduction.

Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins

Proceedings of the 48th Annual Southeast Regional Conference, 2010

2009

Outlier Detection with the Kernelized Spatial Depth Function.

Yixin Chen, Xin Dang, Hanxiang Peng, Henry L. Bart Jr.

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Graph ranking for exploratory gene data analysis.

Cuilan Gao, Xin Dang, Yixin Chen, Dawn Wilkins

BMC Bioinform., 2009

2008

Support Vector Machines and Fuzzy Systems.

Yixin Chen

Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

2007

High diversity transforms multimedia information retrieval into a cross-cutting field: report on the 8th Workshop on Multimedia Information Retrieval.

James Ze Wang, Nozha Boujemaa, Yixin Chen

SIGMOD Rec., 2007

Depth-Based Novelty Detection and Its Application to Taxonomic Research.

Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang Peng

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Fault tolerance of parallel manipulators using task space and kinematic redundancy.

Yong Yi, John E. McInroy, Yixin Chen

IEEE Trans. Robotics, 2006

MILES: Multiple-Instance Learning via Embedded Instance Selection.

Yixin Chen, Jinbo Bi, James Ze Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Machine annotation and retrieval for digital imagery of historical materials.

James Ze Wang, Kurt Grieb, Ya Zhang, Ching-chih Chen, Yixin Chen, Jia Li

Int. J. Digit. Libr., 2006

Splice site prediction using support vector machines with a Bayes kernel.

Ya Zhang, Chao-Hsien Chu, Yixin Chen, Hongyuan Zha, Xiang Ji

Expert Syst. Appl., 2006

<i>md5bloom</i>: Forensic filesystem hashing revisited.

Vassil Roussev, Yixin Chen, Timothy Bourg, Golden G. Richard III

Digit. Investig., 2006

Motif Discovery as a Multiple-Instance Problem.

Ya Zhang, Yixin Chen, Xiang Ji

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Some new approaches for preventing software tampering.

Bin Fu, Golden G. Richard III, Yixin Chen

Proceedings of the 44st Annual Southeast Regional Conference, 2006

2005

CLUE: cluster-based retrieval of images by unsupervised learning.

Yixin Chen, James Ze Wang, Robert Krovetz

IEEE Trans. Image Process., 2005

Size Regularized Cut for Data Clustering.

Yixin Chen, Ya Zhang, Xiang Ji

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A content-based image retrieval system for fish taxonomy.

Yixin Chen, Henry L. Bart Jr., Fei Teng

Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Content-Based Image Retrieval for Digital Forensics.

Yixin Chen, Vassil Roussev, Golden G. Richard III, Yun Gao

Proceedings of the Advances in Digital Forensics, 2005

Statistical categorization of human histological images.

Dehua Zhao, Yixin Chen, Nelson Correa

Proceedings of the 2005 International Conference on Image Processing, 2005

A Computational Framework for Taxonomic Research: Diagnosing Body Shape within Fish Species Complexes.

Yixin Chen, Henry L. Bart Jr., Shuqing Huang, Huimin Chen

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

A Sparse Support Vector Machine Approach to Region-Based Image Categorization.

Jinbo Bi, Yixin Chen, James Ze Wang

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Machine Learning and Statistical Modeling Approaches to Image Retrieval

Yixin Chen, Jia Li, James Ze Wang

The Kluwer International Series on Information Retrieval 14, Kluwer, ISBN: 978-1-4020-8035-7, 2004

Decoupled control of flexure-jointed hexapods using estimated joint-space mass-inertia matrix.

Yixin Chen, John E. McInroy

IEEE Trans. Control. Syst. Technol., 2004

Image Categorization by Learning and Reasoning with Regions.

Yixin Chen, James Ze Wang

J. Mach. Learn. Res., 2004

2003

Optimal, fault-tolerant mappings to achieve secondary goals without compromising primary performance.

Yixin Chen, John E. McInroy, Yong Yi

IEEE Trans. Robotics Autom., 2003

Support vector learning for fuzzy rule-based classification systems.

Yixin Chen, James Ze Wang

IEEE Trans. Fuzzy Syst., 2003

Content-based image retrieval by clustering.

Yixin Chen, James Ze Wang, Robert Krovetz

Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003

An unsupervised learning approach to content-based image retrieval.

Yixin Chen, James Ze Wang, Robert Krovetz

Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Looking beyond region boundaries: a robust image similarity measure using fuzzified region features.

Yixin Chen, James Ze Wang

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Kernel machines and additive fuzzy systems: classification and function approximation.

Yixin Chen, James Ze Wang

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

A task space redundancy-based scheme for motion planning.

Yixin Chen, John E. McInroy

Proceedings of the American Control Conference, 2003

2002

Estimation of symmetric positive-definite matrices from imperfect measurements.

Yixin Chen, John E. McInroy

IEEE Trans. Autom. Control., 2002

A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval.

Yixin Chen, James Ze Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2002

Estimating Symmetric, Positive Definite Matrices in Robotic Control.

Yixin Chen, John E. McInroy

Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2001

FIRM: fuzzily integrated region matching for content-based image retrieval.

Yixin Chen, James Ze Wang, Jia Li

Proceedings of the 9th ACM International Conference on Multimedia 2001, Ottawa, Ontario, Canada, September 30, 2001

2000

Identification and Decoupling Control of Flexure Jointed Hexapods.

Yixin Chen, John E. McInroy

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

1999

Efficient algorithm for training neural networks with one hidden layer.

Bogdan M. Wilamowski, Yixin Chen, Aleksander Malinowski

Proceedings of the International Joint Conference Neural Networks, 1999