Yixin Chen - RankMe

71 papers A* 5B 6C 2Journal 28Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Enhancing Fairness in Image Classification: Modified Loss Functions for Mitigating Race and Sex Bias. HICSS Christina Trotter, Yixin Chen, Charles Walter
2024	—	`conf`	Exploring Fairness-Accuracy Trade-Offs in Binary Classification: A Comparative Analysis Using Modified Loss Functions. ACM Southeast Regional Conference Christina Trotter, Yixin Chen
2024	—	`conf`	Toshakhana: A Multidimensional Panjabi Corpus in Gurmukhi Script. ACM Southeast Regional Conference Arvinder Kang, Thai Le, Yixin Chen
2022	J	`jnl`	One-Class Model for Fabric Defect Detection. CoRR Hao Zhou, Yixin Chen, David Troendle, Byunghyun Jang
2021	—	`conf`	Detection of local structures in images using local entropy information. ACM Southeast Conference Torumoy Ghoshal, Yixin Chen
2021	J	`jnl`	Estimating Feature-Label Dependence Using Gini Distance Statistics. IEEE Trans. Pattern Anal. Mach. Intell. Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen
2020	C	`conf`	A Lightweight Fault Localization Approach based on XGBoost. QRS Bo Yang, Yuze He, Huai Liu, Yixin Chen, Zhi Jin
2020	—	`conf`	Exploring Faster RCNN for Fabric Defect Detection. AI4I Hao Zhou, Byunghyun Jang, Yixin Chen, David Troendle
2019	J	`jnl`	A comparative study of multiclass feature selection on RNAseq and microarray data. Int. J. Comput. Biol. Drug Des. Silu Zhang, Junqing Wang, Keli Xu, Megan M. York, Yin-yuan Mo, Yixin Chen, Yunyun Zhou
2019	J	`jnl`	Estimating Feature-Label Dependence Using Gini Distance Statistics. CoRR Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen
2019	—	`conf`	Improving Performance of Convolutional Neural Networks via Feature Embedding. ACM Southeast Regional Conference Torumoy Ghoshal, Silu Zhang, Xin Dang, Dawn Wilkins, Yixin Chen
2018	—	`conf`	Integration of Cancer Data through Multiple Mixed Graphical Model. BCB Christopher Ma, Tina Gui, Xin Dang, Yixin Chen, Dawn Wilkins
2018	B	`conf`	Pareto cascade modeling of diffusion networks. IJCNN Christopher Ma, Xin Dang, Yixin Chen, Dawn Wilkins
2017	—	`conf`	A Probabilistic Approach to Multiple-Instance Learning. ISBRA Silu Zhang, Yixin Chen, Dawn Wilkins
2017	B	`conf`	Label confidence based AdaBoost algorithm. IJCNN Zhe Luo, Xin Dang, Yixin Chen
2017	—	`conf`	Novel gene selection method for breast cancer intrinsic subtypes from two large cohort study. BIBM Silu Zhang, Yin-yuan Mo, Torumoy Ghoshal, Dawn Wilkins, Yixin Chen, Yunyun Zhou
2015	—	`conf`	A generative Bayesian model to identify cancer driver genes. BIBM Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins
2015	J	`jnl`	Robust Model-Based Learning via Spatial-EM Algorithm. IEEE Trans. Knowl. Data Eng. Kai Yu, Xin Dang, Henry L. Bart Jr., Yixin Chen
2014	J	`jnl`	Learning accurate and interpretable models based on regularized random forests regression. BMC Syst. Biol. Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins
2014	—	`conf`	Ranking of cancer genes in Markov chain model through integration of heterogeneous sources of data. BIBM Christopher Ma, Yixin Chen, Dawn Wilkins
2013	J	`jnl`	Drug activity prediction using multiple-instance learning via joint instance and feature selection. BMC Bioinform. Zhendong Zhao, Gang Fu, Sheng Liu, Khaled M. Elokely, Robert J. Doerksen, Yixin Chen, Dawn Wilkins
2013	—	`conf`	Rule based regression and feature selection for biological data. BIBM Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins
2012	—	`conf`	An open source stimulator for SSVEP-based BCIs. ACM Southeast Regional Conference Jason Boyd, Yixin Chen
2012	J	`jnl`	Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data. Neurocomputing Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins
2012	J	`jnl`	Implementation of multiple-instance learning in drug activity prediction. BMC Bioinform. Gang Fu, Xiaofei Nan, Haining Liu, Ronak Y. Patel, Pankaj R. Daga, Yixin Chen, Dawn Wilkins, Robert J. Doerksen
2012	J	`jnl`	Large margin classifiers and Random Forests for integrated biological prediction. Int. J. Bioinform. Res. Appl. Sheng Liu, Yixin Chen, Dawn Wilkins
2012	J	`jnl`	Multiclass classification with potential function rules: Margin distribution and generalization. Pattern Recognit. Fei Teng, Yixin Chen, Xin Dang
2012	—	`conf`	MySQL and the trouble with temporal data. ACM Southeast Regional Conference Chad Vicknair, Dawn Wilkins, Yixin Chen
2011	J	`jnl`	Leveraging domain information to restructure biological prediction. BMC Bioinform. 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
2011	—	`conf`	Multi-class Joint Rule Extraction and Feature Selection for Biological Data. BIBM Sheng Liu, Ronak Y. Patel, Pankaj R. Daga, Haining Liu, Gang Fu, Robert J. Doerksen, Yixin Chen, Dawn Wilkins
2011	J	`jnl`	Square or Sine: Finding a Waveform with High Success Rate of Eliciting SSVEP. Comput. Intell. Neurosci. Fei Teng, Yixin Chen, Aik Min Choong, Scott Gustafson, Christopher Reichley, Pamela B. Lawhead, Dwight Waddell
2010	—	`conf`	A comparison of a graph database and a relational database: a data provenance perspective. ACM Southeast Regional Conference Chad Vicknair, Michael Macias, Zhendong Zhao, Xiaofei Nan, Yixin Chen, Dawn Wilkins
2010	—	`conf`	Gene selection using 1-norm regularization for multi-class microarray data. BIBM Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins
2010	J	`jnl`	Joint feature selection and classification for taxonomic problems within fish species complexes. Pattern Anal. Appl. Yixin Chen, Shuqing Huang, Huimin Chen, Henry L. Bart Jr.
2010	—	`conf`	Learning to rank using 1-norm regularization and convex hull reduction. ACM Southeast Regional Conference Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
2010	—	`conf`	Steady state visual evoked potentials by dual sine waves. ACM Southeast Regional Conference Fei Teng, Aik Min Choong, Scott Gustafson, Dwight Waddell, Pamela B. Lawhead, Yixin Chen
2009	J	`jnl`	Graph ranking for exploratory gene data analysis. BMC Bioinform. Cuilan Gao, Xin Dang, Yixin Chen, Dawn Wilkins
2009	J	`jnl`	Outlier Detection with the Kernelized Spatial Depth Function. IEEE Trans. Pattern Anal. Mach. Intell. Yixin Chen, Xin Dang, Hanxiang Peng, Henry L. Bart Jr.
2008	—	`ch.`	Support Vector Machines and Fuzzy Systems. Soft Computing for Knowledge Discovery and Data Mining Yixin Chen
2007	A*	`conf`	Depth-Based Novelty Detection and Its Application to Taxonomic Research. ICDM Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang Peng
2007	J	`jnl`	High diversity transforms multimedia information retrieval into a cross-cutting field: report on the 8th Workshop on Multimedia Information Retrieval. SIGMOD Rec. James Ze Wang, Nozha Boujemaa, Yixin Chen
2006	J	`jnl`	Fault tolerance of parallel manipulators using task space and kinematic redundancy. IEEE Trans. Robotics Yong Yi, John E. McInroy, Yixin Chen
2006	J	`jnl`	MILES: Multiple-Instance Learning via Embedded Instance Selection. IEEE Trans. Pattern Anal. Mach. Intell. Yixin Chen, Jinbo Bi, James Ze Wang
2006	J	`jnl`	Machine annotation and retrieval for digital imagery of historical materials. Int. J. Digit. Libr. James Ze Wang, Kurt Grieb, Ya Zhang, Ching-Chih Chen, Yixin Chen, Jia Li
2006	B	`conf`	Motif Discovery as a Multiple-Instance Problem. ICTAI Ya Zhang, Yixin Chen, Xiang Ji
2006	—	`ed.`	Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2006, October 26-27, 2006, Santa Barbara, California, USA Multimedia Information Retrieval James Ze Wang, Nozha Boujemaa, Yixin Chen
2006	—	`conf`	Some new approaches for preventing software tampering. ACM Southeast Regional Conference Bin Fu, Golden G. Richard III, Yixin Chen
2006	J	`jnl`	Splice site prediction using support vector machines with a Bayes kernel. Expert Syst. Appl. Ya Zhang, Chao-Hsien Chu, Yixin Chen, Hongyuan Zha, Xiang Ji
2005	A*	`conf`	A Computational Framework for Taxonomic Research: Diagnosing Body Shape within Fish Species Complexes. ICDM Yixin Chen, Henry L. Bart Jr., Shuqing Huang, Huimin Chen
2005	—	`conf`	A Sparse Support Vector Machine Approach to Region-Based Image Categorization. CVPR (1) Jinbo Bi, Yixin Chen, James Ze Wang
2005	—	`conf`	A content-based image retrieval system for fish taxonomy. Multimedia Information Retrieval Yixin Chen, Henry L. Bart Jr., Fei Teng
2005	J	`jnl`	CLUE: cluster-based retrieval of images by unsupervised learning. IEEE Trans. Image Process. Yixin Chen, James Ze Wang, Robert Krovetz
2005	—	`conf`	Content-Based Image Retrieval for Digital Forensics. IFIP Int. Conf. Digital Forensics Yixin Chen, Vassil Roussev, Golden G. Richard III, Yun Gao
2005	—	`conf`	Size Regularized Cut for Data Clustering. NIPS Yixin Chen, Ya Zhang, Xiang Ji
2005	—	`conf`	Statistical categorization of human histological images. ICIP (3) Dehua Zhao, Yixin Chen, Nelson Correa
2004	J	`jnl`	Decoupled control of flexure-jointed hexapods using estimated joint-space mass-inertia matrix. IEEE Trans. Control. Syst. Technol. Yixin Chen, John E. McInroy
2004	J	`jnl`	Image Categorization by Learning and Reasoning with Regions. J. Mach. Learn. Res. Yixin Chen, James Ze Wang
2004	—	`book`	Machine Learning and Statistical Modeling Approaches to Image Retrieval Yixin Chen, Jia Li, James Ze Wang
2003	C	`conf`	A task space redundancy-based scheme for motion planning. ACC Yixin Chen, John E. McInroy
2003	—	`conf`	An unsupervised learning approach to content-based image retrieval. ISSPA (1) Yixin Chen, James Ze Wang, Robert Krovetz
2003	—	`conf`	Content-based image retrieval by clustering. Multimedia Information Retrieval Yixin Chen, James Ze Wang, Robert Krovetz
2003	B	`conf`	Kernel machines and additive fuzzy systems: classification and function approximation. FUZZ-IEEE Yixin Chen, James Ze Wang
2003	B	`conf`	Looking beyond region boundaries: a robust image similarity measure using fuzzified region features. FUZZ-IEEE Yixin Chen, James Ze Wang
2003	J	`jnl`	Optimal, fault-tolerant mappings to achieve secondary goals without compromising primary performance. IEEE Trans. Robotics Autom. Yixin Chen, John E. McInroy, Yong Yi
2003	J	`jnl`	Support vector learning for fuzzy rule-based classification systems. IEEE Trans. Fuzzy Syst. Yixin Chen, James Ze Wang
2002	J	`jnl`	A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Yixin Chen, James Ze Wang
2002	A*	`conf`	Estimating Symmetric, Positive Definite Matrices in Robotic Control. ICRA Yixin Chen, John E. McInroy
2002	J	`jnl`	Estimation of symmetric positive-definite matrices from imperfect measurements. IEEE Trans. Autom. Control. Yixin Chen, John E. McInroy
2001	A*	`conf`	FIRM: fuzzily integrated region matching for content-based image retrieval. ACM Multimedia Yixin Chen, James Ze Wang, Jia Li
2000	A*	`conf`	Identification and Decoupling Control of Flexure Jointed Hexapods. ICRA Yixin Chen, John E. McInroy
1999	B	`conf`	Efficient algorithm for training neural networks with one hidden layer. IJCNN Bogdan M. Wilamowski, Yixin Chen, Aleksander Malinowski