Xue-wen Chen - RankMe

107 papers A* 4A 5B 5C 13Journal 55Unranked 21

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction. Artif. Intell. Manal Nawar Allahyani, Rahaf Alsulami, Taif Alwafi, Tarik Alafif, Heyfa Ammar, Sari Sabban, Xue-wen Chen
2020	J	`jnl`	Correlation classifiers based on data perturbation: New formulations and algorithms. Pattern Recognit. Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou
2020	J	`jnl`	Locality preserving difference component analysis based on the Lq norm. Pattern Anal. Appl. Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou
2019	J	`jnl`	"Stream loss": ConvNet learning for face verification using unlabeled videos in the wild. Neurocomputing Elaheh Rashedi, Elaheh Barati, Matthew S. Nokleby, Xue-wen Chen
2019	—	`conf`	Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan
2018	B	`conf`	Deep Semi-Supervised Learning. ICPR Zeyad Hailat, Artem Komarichev, Xue-wen Chen
2018	J	`jnl`	Long-term face tracking in the wild using deep learning. CoRR Kunlei Zhang, Elaheh Rashedi, Elaheh Barati, Xue-wen Chen
2018	—	`conf`	Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. IEEE BigData Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018	J	`jnl`	Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. CoRR Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018	C	`conf`	Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels. ICMLA Zeyad Hailat, Xue-wen Chen
2017	C	`ed.`	16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017 ICMLA Xue-wen Chen, Bo Luo, Feng Luo, Vasile Palade, M. Arif Wani
2017	J	`jnl`	A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. CoRR Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2017	J	`jnl`	An Adaptive Cluster-based Wiener Filter for Speckle Reduction of OCT Skin Images. CoRR Elaheh Rashedi, Saba Adabi, Darius Mehregan, Xue-wen Chen
2017	J	`jnl`	Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild. CoRR Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xue-wen Chen
2017	J	`jnl`	Learning Deep Networks from Noisy Labels with Dropout Regularization. CoRR Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen
2017	J	`jnl`	Manifold Learning by Curved Cosine Mapping. IEEE Trans. Knowl. Data Eng. Huamao Gu, Xun Wang, Xue-wen Chen, Shaoping Deng, Jin-Qin Shi
2017	J	`jnl`	Multi-channel multi-model feature learning for face recognition. Pattern Recognit. Lett. Melih S. Aslan, Zeyad Hailat, Tarik K. Alafif, Xue-wen Chen
2017	C	`conf`	On Classifying Facial Races with Partial Occlusions and Pose Variations. ICMLA Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xue-wen Chen
2017	—	`conf`	On Detecting Partially Occluded Faces with Pose Variations. ISPAN-FCST-ISCC Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xue-wen Chen
2016	J	`jnl`	Analyzing and learning sparse and scale-free networks using Gaussian graphical models. Int. J. Data Sci. Anal. Melih S. Aslan, Xue-wen Chen, Hong Cheng
2016	J	`jnl`	GOAL: the comprehensive gene ontology analysis layer. Sci. China Inf. Sci. Jong Cheol Jeong, George Li, Xue-wen Chen
2016	C	`conf`	Latent Topic-Semantic Indexing Based Automatic Text Summarization. ICMLA Jiangsheng Yu, Xue-wen Chen
2016	A*	`conf`	Learning Deep Networks from Noisy Labels with Dropout Regularization. ICDM Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen
2016	—	`ch.`	Unsupervised Learning and Image Classification in High Performance Computing Cluster. Big Data Technologies and Applications Itauma Itauma, Melih S. Aslan, Xue-wen Chen, Flavio Villanustre
2015	J	`jnl`	A New Semantic Functional Similarity over Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. Jong Cheol Jeong, Xue-wen Chen
2015	—	`conf`	Learning Multi-channel Deep Feature Representations for Face Recognition. FE@NIPS Xue-wen Chen, Melih S. Aslan, Kunlei Zhang, Thomas S. Huang
2015	—	`conf`	Ontology-Based Visualization of Healthcare Data Mined from Online Healthcare Forums. ICHI Hariprasad Sampathkumar, Xue-wen Chen, Bo Luo
2015	—	`conf`	Topic and Sentiment Unification Maximum Entropy Model for Online Review Analysis. WWW (Companion Volume) Changlin Ma, Meng Wang, Xue-wen Chen
2015	C	`conf`	Unsupervised Learning and Image Classification in High Performance Computing Cluster. ICMLA Itauma Itauma, Melih S. Aslan, Flavio Villanustre, Xue-wen Chen
2014	—	`conf`	A novel semi-supervised learning approach to analyzing metagenomic reads. BCB Yuliang Geng, Xue-wen Chen, Dongxiao Zhu
2014	A	`conf`	A windowed dynamic time warping approach for 3D continuous hand gesture recognition. ICME Hong Cheng, Jun Luo, Xue-wen Chen
2014	J	`jnl`	Big Data Deep Learning: Challenges and Perspectives. IEEE Access Xue-wen Chen, Xiaotong Lin
2014	J	`jnl`	Editorial: Special issue on hybrid intelligent methods for health technologies. Appl. Soft Comput. Kit Yan Chan, Sai-Ho Ling, Tharam S. Dillon, Hung T. Nguyen, Tuan Nghia Nguyen, Vasile Palade, Xue-wen Chen
2014	J	`jnl`	Editorial: Special issue on hybrid intelligent methods for health technologies. Appl. Soft Comput. Sai-Ho Ling, Kit Yan Chan, Vasile Palade, Tharam S. Dillon, Hung T. Nguyen, Tuan Nghia Nguyen, Xue-wen Chen
2014	J	`jnl`	Kernelized pyramid nearest-neighbor search for object categorization. Mach. Vis. Appl. Hong Cheng, Rongchao Yu, Zicheng Liu, Lu Yang, Xue-wen Chen
2014	J	`jnl`	Large-Scale Deep Belief Nets With MapReduce. IEEE Access Kunlei Zhang, Xue-wen Chen
2014	B	`conf`	Learning sparse and scale-free networks. DSAA Melih S. Aslan, Xue-wen Chen, Hong Cheng
2014	J	`jnl`	Mining Adverse Drug Reactions from Online Healthcare Forums using Hidden Markov Model. BMC Medical Informatics Decis. Mak. Hariprasad Sampathkumar, Xue-wen Chen, Bo Luo
2014	A	`conf`	Pixel-to-Model background modeling in crowded scenes. ICME Lu Yang, Hong Cheng, Jianan Su, Xue-wen Chen
2014	B	`conf`	Pseudo labels for imbalanced multi-label learning. DSAA Wenrong Zeng, Xue-wen Chen, Hong Cheng
2013	—	`conf`	Content-based assessment of the credibility of online healthcare information. IEEE BigData Meeyoung Park, Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen
2013	—	`conf`	Evaluating topology-based metrics for GO term similarity measures. BIBM Jong Cheol Jeong, Xue-wen Chen
2013	J	`jnl`	Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention CoRR Ruoming Jin, Yelong Shen, Lin Liu, Xue-wen Chen
2013	J	`jnl`	Sparse representation and learning in visual recognition: Theory and applications. Signal Process. Hong Cheng, Zicheng Liu, Lu Yang, Xue-wen Chen
2013	J	`jnl`	iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features. IEEE Trans. Knowl. Data Eng. Yuxin Chen, Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen
2012	A	`ed.`	21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012 CIKM Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki
2012	J	`jnl`	Genetic studies of complex human diseases: Characterizing SNP-disease associations using Bayesian networks. BMC Syst. Biol. Bing Han, Xue-wen Chen, Zohreh Talebizadeh, Hua Xu
2012	—	`conf`	IPKB: a digital library for invertebrate paleontology. JCDL Yuanliang Meng, Junyan Li, Patrick Denton, Yuxin Chen, Bo Luo, Paul Selden, Xue-wen Chen
2012	—	`conf`	Identification of transposable elements of the giant panda (Ailuropoda melanoleuca) genome. BIBM Workshops Avindra Fernando, Jun Huan, Justin P. Blumenstiel, Jin Lin, Xue-wen Chen, Bo Luo
2012	J	`jnl`	Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs. J. Am. Medical Informatics Assoc. Mei Liu, Yonghui Wu, Yukun Chen, Jingchun Sun, Zhongming Zhao, Xue-wen Chen, Michael E. Matheny, Hua Xu
2012	—	`conf`	Mining Adverse Drug Side-Effects from Online Medical Forums. HISB Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen
2011	—	`ed.`	10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference ICMLA (1) Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani
2011	—	`ed.`	10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop ICMLA (2) Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani
2011	—	`conf`	Cephalometric Landmark Tracing Using Deformable Templates. HISB Yuxin Chen, Brian Potetz, Bo Luo, Xue-wen Chen, Yunfeng Lin
2011	J	`jnl`	FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach. BMC Bioinform. Bing Han, Xue-wen Chen, Zohreh Talebizadeh
2011	—	`conf`	Functional Gene Detection and Clustering from Seed Gene Sets. BIBM Alexander Senf, Xue-wen Chen
2011	—	`conf`	Healthcare Information Networks: Discovery and Evaluation. HISB Jonathan Lutes, Meeyoung Park, Bo Luo, Xue-wen Chen
2011	J	`jnl`	KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions. Nucleic Acids Res. Xue-wen Chen, Jong Cheol Jeong, Patrick Dermyer
2011	J	`jnl`	On Position-Specific Scoring Matrix for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Jong Cheol Jeong, Xiaotong Lin, Xue-wen Chen
2010	J	`jnl`	A Markov blanket-based method for detecting causal SNPs in GWAS. BMC Bioinform. Bing Han, Meeyoung Park, Xue-wen Chen
2010	J	`jnl`	Combating the Small Sample Class Imbalance Problem Using Feature Selection. IEEE Trans. Knowl. Data Eng. Michael Wasikowski, Xue-wen Chen
2010	J	`jnl`	Cross-platform microarray data integration using the Normalised Linear Transform. Int. J. Data Min. Bioinform. Huilin Xiong, Ya Zhang, Xue-wen Chen, Jiangsheng Yu
2010	—	`conf`	Detecting SNPs-disease associations using Bayesian networks. BIBM Bing Han, Xue-wen Chen
2010	A	`conf`	Mr.KNN: soft relevance for multi-label classification. CIKM Xiaotong Lin, Xue-wen Chen
2010	A*	`conf`	iLike: integrating visual and textual features for vertical search. ACM Multimedia Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
2009	J	`jnl`	Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms. BMC Bioinform. Xiaotong Lin, Mei Liu, Xue-wen Chen
2009	—	`conf`	DASSO-MB: Detection of Epistatic Interactions in Genome-Wide Association Studies Using Markov Blankets. BIBM Bing Han, Meeyoung Park, Xue-wen Chen
2009	J	`jnl`	Editorial. Int. J. Data Min. Bioinform. Leif E. Peterson, Xue-wen Chen
2009	J	`jnl`	Identification of genes involved in the same pathways using a Hidden Markov Model-based approach. Bioinform. Alexander Senf, Xue-wen Chen
2009	J	`jnl`	Knowledge-guided inference of domain-domain interactions from incomplete protein-protein interaction networks. Bioinform. Mei Liu, Xue-wen Chen, Raja Jothi
2009	A	`conf`	Learning to rank with a novel kernel perceptron method. CIKM Xue-wen Chen, Haixun Wang, Xiaotong Lin
2009	J	`jnl`	Sequence-based prediction of protein interaction sites with an integrative method. Bioinform. Xue-wen Chen, Jong Cheol Jeong
2009	J	`jnl`	Survival Prediction and Gene Identification with Penalized Global AUC Maximization. J. Comput. Biol. Zhenqiu Liu, Ronald B. Gartenhaus, Xue-wen Chen, Charles D. Howell, Ming Tan
2008	—	`ed.`	2008 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008, Philadephia, Pennsylvania, USA, November 3-5, 2008 BIBM Xue-wen Chen, Xiaohua Hu, Sun Kim
2008	J	`jnl`	A Bayesian approach to support vector machines for the binary classification. Neurocomputing Jiangsheng Yu, Fei Cheng, Huilin Xiong, Wanling Qu, Xue-wen Chen
2008	A*	`conf`	FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems. KDD Xue-wen Chen, Michael Wasikowski
2008	C	`conf`	Gene Network Learning Using Regulated Dynamic Bayesian Network Methods. ICMLA Xiaotong Lin, Xue-wen Chen
2008	J	`jnl`	Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm. IEEE Trans. Knowl. Data Eng. Xue-wen Chen, Gopalakrishna Anantha, Xiaotong Lin
2008	C	`conf`	Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data. ADMA Xue-wen Chen, Mei Liu, Yong Hu
2008	J	`jnl`	Large-scale Protein-Protein Interaction prediction using novel kernel methods. Int. J. Data Min. Bioinform. Xue-wen Chen, Bing Han, Jianwen Fang, Ryan J. Haasl
2008	—	`conf`	Protein-Protein Interaction Prediction and Assessment from Model Organisms. BIBM Xiaotong Lin, Mei Liu, Xue-wen Chen
2008	C	`ed.`	Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008 ICMLA M. Arif Wani, Xue-wen Chen, David P. Casasent, Lukasz A. Kurgan, Tony Hu, Khalid Hafeez
2008	C	`ed.`	The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007 ICMLA M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez
2007	J	`jnl`	Data-Dependent Kernel Machines for Microarray Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Huilin Xiong, Ya Zhang, Xue-wen Chen
2007	C	`conf`	Enhanced recursive feature elimination. ICMLA Xue-wen Chen, Jong Cheol Jeong
2007	—	`conf`	Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks. BIBM Aaron M. Smalter, Seak Fei Lei, Xue-wen Chen
2007	J	`jnl`	Machine Learning and Its Applications to Biology. PLoS Comput. Biol. Adi L. Tarca, Vincent J. Carey, Xue-wen Chen, Roberto Romero, Sorin Draghici
2007	A*	`conf`	Minimum reference set based feature selection for small sample classifications. ICML Xue-wen Chen, Jong Cheol Jeong
2007	C	`conf`	Normalized Linear Transform for Cross-Platform Microarray Data Integration. ICMLA Huilin Xiong, Ya Zhang, Xue-wen Chen
2007	J	`jnl`	Structural Risk Minimisation based gene expression profiling analysis. Int. J. Bioinform. Res. Appl. Xue-wen Chen, Byron Gerlach, Dechang Chen, Zhenqiu Liu
2006	J	`jnl`	Advanced Signal Processing Techniques for Bioinformatics. EURASIP J. Adv. Signal Process. Xue-wen Chen, Sun Kim, Vladimir I. Pavlovic, David P. Casasent
2006	J	`jnl`	An effective structure learning method for constructing gene networks. Bioinform. Xue-wen Chen, Gopalakrishna Anantha, Xinkun Wang
2006	—	`conf`	Comparison of One-Class SVM and Two-Class SVM for Fold Recognition. ICONIP (2) Alexander Senf, Xue-wen Chen, Anne Zhang
2006	J	`jnl`	Domain-Based Predictive Models for Protein-Protein Interaction Prediction. EURASIP J. Adv. Signal Process. Xue-wen Chen, Mei Liu
2006	J	`jnl`	Kernel-based distance metric learning for microarray data classification. BMC Bioinform. Huilin Xiong, Xue-wen Chen
2006	J	`jnl`	Margin-based wrapper methods for gene identification using microarray. Neurocomputing Xue-wen Chen
2006	J	`jnl`	Multi-class feature selection for texture classification. Pattern Recognit. Lett. Xue-wen Chen, Xiang-Yan Zeng, Deborah van Alphen
2005	—	`conf`	Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data. ISMB (Supplement of Bioinformatics) Jiangsheng Yu, Xue-wen Chen
2005	C	`conf`	Optimized Kernel Machine for Cancer Classification Using Gene Expression Data. CIBCB Huilin Xiong, Xue-wen Chen
2005	J	`jnl`	Prediction of protein-protein interactions using random decision forest framework. Bioinform. Xue-wen Chen, Mei Liu
2005	B	`conf`	Pruning support vectors for imbalanced data classification. IJCNN Xue-wen Chen, Byron Gerlach, David P. Casasent
2005	J	`jnl`	SMO-based pruning methods for sparse least squares support vector machines. IEEE Trans. Neural Networks Xiang-Yan Zeng, Xue-wen Chen
2004	C	`conf`	Locally optimal search method for identifying genes from microarray data. ICARCV Xue-wen Chen, Huaixin Chen
2003	B	`conf`	Confidence-clustering supervised radial basis function neural networks. IJCNN David P. Casasent, Xue-wen Chen
2003	J	`jnl`	Facial expression recognition: A clustering-based approach. Pattern Recognit. Lett. Xue-wen Chen, Thomas S. Huang
2003	J	`jnl`	New training strategies for RBF neural networks for X-ray agricultural product inspection. Pattern Recognit. David P. Casasent, Xue-wen Chen
2003	J	`jnl`	Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. Neural Networks David P. Casasent, Xue-wen Chen