Junming Shao
Zitiert von
Zitiert von
Aberrant topology of striatum’s connectivity is associated with the number of episodes in depression
C Meng, F Brandl, M Tahmasian, J Shao, A Manoliu, M Scherr, ...
Brain 137 (2), 598-609, 2014
Community detection based on distance dynamics
J Shao, Z Han, Q Yang, T Zhou
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Aberrant intrinsic connectivity of hippocampus and amygdala overlap in the fronto-insular and dorsomedial-prefrontal cortex in major depressive disorder
M Tahmasian, DC Knight, A Manoliu, D Schwerthöffer, M Scherr, C Meng, ...
Frontiers in human neuroscience 7, 639, 2013
Clustering by synchronization
C Böhm, C Plant, J Shao, Q Yang
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
Learning in high-dimensional multimedia data: the state of the art
L Gao, J Song, X Liu, J Shao, J Liu, J Shao
Multimedia Systems 23 (3), 303-313, 2017
Prediction of Alzheimer's disease using individual structural connectivity networks
J Shao, N Myers, Q Yang, J Feng, C Plant, C Böhm, H Förstl, A Kurz, ...
Neurobiology of aging 33 (12), 2756-2765, 2012
Synchronization-inspired partitioning and hierarchical clustering
J Shao, X He, C Böhm, Q Yang, C Plant
IEEE Transactions on Knowledge and Data Engineering 25 (4), 893-905, 2012
Location prediction on trajectory data: A review
R Wu, G Luo, J Shao, L Tian, C Peng
Big data mining and analytics 1 (2), 108-127, 2018
Prototype-based learning on concept-drifting data streams
J Shao, Z Ahmadi, S Kramer
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Based on the network degeneration hypothesis: separating individual patients with different neurodegenerative syndromes in a preliminary hybrid PET/MR study
M Tahmasian, J Shao, C Meng, T Grimmer, J Diehl-Schmid, BH Yousefi, ...
Journal of Nuclear Medicine 57 (3), 410-415, 2016
Identifying influential nodes in complex networks based on weighted formal concept analysis
Z Sun, B Wang, J Sheng, Y Hu, Y Wang, J Shao
IEEE access 5, 3777-3789, 2017
Common and distinct changes of default mode and salience network in schizophrenia and major depression
J Shao, C Meng, M Tahmasian, F Brandl, Q Yang, G Luo, C Luo, D Yao, ...
Brain imaging and behavior 12 (6), 1708-1719, 2018
Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider Greater Manchester area
E Danso-Amoako, M Scholz, N Kalimeris, Q Yang, J Shao
Computers, Environment and Urban Systems 36 (5), 423-433, 2012
Large-scale multi-view subspace clustering in linear time
Z Kang, W Zhou, Z Zhao, J Shao, M Han, Z Xu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4412-4419, 2020
Music intervention leads to increased insular connectivity and improved clinical symptoms in schizophrenia
H He, M Yang, M Duan, X Chen, Y Lai, Y Xia, J Shao, BB Biswal, C Luo, ...
Frontiers in neuroscience 11, 744, 2018
Robust prototype-based learning on data streams
J Shao, F Huang, Q Yang, G Luo
IEEE Transactions on Knowledge and Data Engineering 30 (5), 978-991, 2017
Feature selection methods for characterizing and classifying adaptive Sustainable Flood Retention Basins
Q Yang, J Shao, M Scholz, C Plant
Water research 45 (3), 993-1004, 2011
Synchronization-based clustering on evolving data stream
J Shao, Y Tan, L Gao, Q Yang, C Plant, I Assent
Information Sciences 501, 573-587, 2019
Detection of arbitrarily oriented synchronized clusters in high-dimensional data
J Shao, C Plant, Q Yang, C Bohm
2011 IEEE 11th International Conference on Data Mining, 607-616, 2011
Synchronization-based scalable subspace clustering of high-dimensional data
J Shao, X Wang, Q Yang, C Plant, C Böhm
Knowledge and information systems 52 (1), 83-111, 2017
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