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2020 – today
- 2024
[j11]Yunhong Xie, Yifu Wang, Zhao Sun, Ruiting Liang, Zhidan Ding, Baoying Wang, Shaodong Huang, Yujun Sun:
Instance segmentation and stand-scale forest mapping based on UAV images derived RGB and CHM. Comput. Electron. Agric. 220: 108878 (2024)- [i1]Baoying Wang, Huixu Dong:
Bin Packing Optimization via Deep Reinforcement Learning. CoRR abs/2403.12420 (2024)
2010 – 2019
- 2016
- [j10]Yubing Gong, Baoying Wang, Huijuan Xie:
Spike-timing-dependent plasticity enhanced synchronization transitions induced by autapses in adaptive Newman-Watts neuronal networks. Biosyst. 150: 132-137 (2016) - 2013
- [j9]Baoying Wang, Aijuan Dong:
Parallel Dynamic Fraud Detection on Market Basket Data. Int. J. Comput. Their Appl. 20(1): 2-9 (2013) - [j8]Baoying Wang, Marietta F. Wright:
A Learning Software Tool on Genetics Statistics. Int. J. Comput. Their Appl. 20(3): 165-174 (2013) - 2011
- [j7]Baoying Wang, Imad Rahal, Aijuan Dong:
Parallel hierarchical clustering using weighted confidence affinity. Int. J. Data Min. Model. Manag. 3(2): 110-129 (2011) - 2010
- [j6]Baoying Wang, Imad Rahal, William Perrizo:
DAVYD: An iterative Density-Based Approach for Clusters with VarYing Densities. Int. J. Comput. Their Appl. 17(1): 2-15 (2010) - [p1]Christopher A. Canning, Baoying Wang:
Trends in Information Security Regulation. Handbook of Research on Computational Forensics, Digital Crime, and Investigation 2010: 516-528
2000 – 2009
- 2009
- [j5]Imad Rahal, Baoying Wang, Riad Rahhal
:
Automated Gene-Retrieval System for Biological Information Needs. J. Inf. Knowl. Manag. 8(1): 13-23 (2009) - [c20]Aijuan Dong, Baoying Wang:
Feature Selection and Comparison in Medical Image Analysis. IPCV 2009: 1018-1022 - 2008
- [j4]Imad Rahal, Riad Rahhal, Baoying Wang, William Perrizo:
CARIBIAM: Constrained Association Rules using Interactive Biological IncrementAl Mining. Int. J. Bioinform. Res. Appl. 4(1): 28-48 (2008) - [c19]Baoying Wang, Aijuan Dong:
Parallel Implementation of Hybrid Clustering. DMIN 2008: 550-554 - [c18]Baoying Wang, Aijuan Dong:
A Parallel Attractor-tree Based Clustering Method. HPCNCS 2008: 176-180 - [c17]Baoying Wang, Qin Ding, Imad Rahal:
Parallel Hierarchical Clustering on Market Basket Data. ICDM Workshops 2008: 526-532 - 2007
- [j3]Baoying Wang, William Perrizo:
A Hybrid Clustering Method for Gene Expression Data. Int. J. Comput. Their Appl. 14(4): 232-241 (2007) - [c16]Baoying Wang, Imad Rahal:
WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure. ICDM Workshops 2007: 355-360 - 2006
- [c15]Baoying Wang, Qi Gong, Jie Hu:
A PC-based Parallel Programming System. PDCS 2006: 57-62 - [c14]Baoying Wang, William Perrizo:
A Hierarchical Approach for Clusters in Different Densities. SEDE 2006: 211-216 - 2005
- [j2]Baoying Wang, Fei Pan, Yue Cui, William Perrizo:
Efficient Vertical Quantitative Frequent Pattern Mining. Int. J. Comput. Their Appl. 12(4): 233-240 (2005) - [c13]Baoying Wang, William Perrizo:
Tree-based clustering for gene expression data. SAC 2005: 204-205 - [r1]William Perrizo, Qiang Ding, Masum Serazi, Taufik Fuadi Abidin, Baoying Wang:
Vertical Database Design for Scalable Data Mining. Encyclopedia of Database Technologies and Applications 2005: 736-739 - 2004
- [j1]Fei Pan, Baoying Wang, Xin Hu, William Perrizo:
Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysis. J. Biomed. Informatics 37(4): 240-248 (2004) - [c12]Dongmei Ren, Kirk Scott, Baoying Wang, William Perrizo:
A Distance-based Outlier Detection Method Using P-Tree. CAINE 2004: 160-164 - [c11]Dongmei Ren, Baoying Wang, William Perrizo:
A P-Tree based Outlier Detection Method. CAINE 2004: 165-170 - [c10]Dongmei Ren, Baoying Wang, William Perrizo:
A Cluster-based Outlier Detection Method without Pre-Clustering. CAINE 2004: 177-180 - [c9]Baoying Wang, William Perrizo:
Parameter Reduction for Density-based Clustering on Large Data Sets. CAINE 2004: 181-186 - [c8]Baoying Wang, Qiang Ding, Fei Pan, William Perrizo:
Digital Sky Surveys in P-HTM. IASSE 2004: 6-10 - [c7]Baoying Wang, Qiang Ding, Fei Pan, William Perrizo:
Efficient Modeling the Sloan Digital Sky Survey Data Using P-orchards. IASSE 2004: 11-16 - [c6]Fei Pan, Xin Hu, Baoying Wang, William Perrizo:
Rapid and Accurate Density Clustering Analysis for High Dimensional Data. IASSE 2004: 269-274 - [c5]Dongmei Ren, Baoying Wang, William Perrizo:
RDF: A Density-Based Outlier Detection Method using Vertical Data Representation. ICDM 2004: 503-506 - 2003
- [c4]Baoying Wang, Fei Pan, Yue Cui, William Perrizo:
Efficient Quantitative Frequent Pattern Mining Using Predicate Trees. CAINE 2003: 168-171 - [c3]Fei Pan, Baoying Wang, Dongmei Ren, Xin Hu, William Perrizo:
Efficient Proximal Support Vector Machine for Spatial Data. CAINE 2003: 292-297 - [c2]Baoying Wang, Fei Pan, Dongmei Ren, Yue Cui, Qiang Ding, William Perrizo:
Efficient OLAP operations for spatial data using peano trees. DMKD 2003: 28-34 - [c1]Fei Pan, Baoying Wang, Yi Zhang, Dongmei Ren, Xin Hu, William Perrizo:
Efficient Density Clustering Method for Spatial Data. PKDD 2003: 375-386
Coauthor Index
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