[1] Q : ,  Yang ,  N ,  Gen ,  J ,  Shao ,  D ,  and  He ,  A Model for Image Categorization Based on Biological Visual Mechanism

[2] Q : ,  Yang ,  D ,  He ,  J ,  and  Shao ,  Multi-semantic Scene Classification Based on Region of Interest

[3] C.: ,  Plant ,  C ,  Boehm ,  C ,  Hahn ,  A ,  Wohlschläger ,  J ,  and  Shao ,  Density-based Clustering of White Matter Tracts in the Human Brain with Dynamic Time Warping

[4] C.: ,  Plant ,  N. ,  Myers ,  A. ,  Wohlschlaeger ,  C. ,  Boehm ,  Q. ,  Yang ,  K. ,  Hahn ,  J. ,  and  Shao ,  Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain

[5] C.: ,  Plant ,  N. ,  Myers ,  C. ,  Boehm ,  A. ,  Wohlschlaeger ,  Q. ,  Yang ,  K. ,  Hahn ,  J. ,  and  Shao ,  Hierarchical Density-based Clustering of White Matter Tracts in the Human Brain

[6] J.: ,  Shao ,  C. ,  Plant ,  S. M. ,  Mai ,  X. ,  He ,  J. ,  Feng ,  C. ,  and  Boehm ,  A Novel Similarity Measure for Fiber Clustering using Longest Common Subsequence

[7] C.: ,  Plant ,  Q. ,  Yang ,  C. ,  Boehm ,  J. ,  and  Shao ,  Synchronization Based Outlier Detection

[8] Q.: ,  Yang ,  J.* ,  Shao ,  C. ,  Plant ,  C. ,  and  Boehm ,  Clustering by synchronization

[9] C.: ,  Boehm ,  C. ,  Plant ,  J. ,  Shao ,  K. ,  Haegler ,  N.S. ,  and  Mueller ,  Weighted Graph Compression for Parameter-free Clustering WithPaCCo

[10] M: ,  Scholz ,  J ,  Shao ,  Q ,  and  Yang ,  Classification of Water Bodies including Sustainable Flood Retention Basins (SFRB)

[11] C: ,  Plant ,  M ,  Scholz ,  J ,  Shao ,  Q ,  and  Yang ,  Feature selection methods for characterizing and classifying adaptive Sustainable Flood Retention Basins

[12] J: ,  Shao ,  M ,  Scholz ,  Q ,  and  Yang ,  Application of Spatial Statistics as a Screening Tool for Sustainable Flood Retention Basin Management

[13] C.: ,  Plant ,  C. ,  Boehm ,  Q. ,  Yang ,  J. ,  and  Shao ,  Detection of Arbitrarily Oriented Synchronized Clusters in High-dimensional Data

[14] C: ,  Boehm ,  A ,  Meyer-Baese ,  F ,  Theis ,  J ,  Shao ,  SM ,  Thai ,  C ,  and  Plant ,  Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider Greater Manchester area

[15] C: ,  Plant ,  C ,  Boehm ,  M ,  Scholz ,  J ,  Shao ,  Q ,  and  Yang ,  Multi-label classification model for Sustainable Flood Retention Basins

[16] M: ,  Scholz ,  J ,  Shao ,  Q ,  and  Yang ,  Prediction of Sustainable Flood Retention Basin Characteristics using a Self-Organizing Map

[17] C: ,  Boehm ,  A ,  Meyer-Baese ,  F ,  Theis ,  J ,  Shao ,  SM ,  Thai ,  C ,  and  Plant ,  Measuring Non-Gaussianity by Phi-transformed and Fuzzy Histograms

[18] Sorg C.: ,  Wohlschlaeger A. ,  Yang Q. ,  and  Shao J. ,  Discovering Aberrant Patterns of Human Connectome in Alzheimer’s Disease via Subgraph Mining

[19] C.: ,  Sorg ,  A. ,  Wohlschläger ,  V. ,  Riedl ,  C. ,  Meng ,  C. ,  Zimmer ,  A. ,  Kurz ,  H. ,  Förstl ,  C. ,  Böhm ,  C. ,  Plant ,  J. ,  Feng ,  Q. ,  Yang ,  N. ,  Myers ,  J. ,  and  Shao ,  Prediction of Alzheimer’s disease using individual structural connectivity networks

[20] J: and  Shao ,  Synchronization on Data Mining