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Kevin S. Xu
Kevin S. Xu
Assistant Professor, Department of Computer and Data Sciences, Case Western Reserve University
Подтвержден адрес электронной почты в домене case.edu - Главная страница
Название
Процитировано
Процитировано
Год
Dynamic stochastic blockmodels for time-evolving social networks
KS Xu, AO Hero III
IEEE Journal of Selected Topics in Signal Processing 8 (4), 552-562, 2014
3002014
Consistent estimation of dynamic and multi-layer block models
Q Han, KS Xu, EM Airoldi
Proceedings of The 32nd International Conference on Machine Learning, 1511-1520, 2015
1892015
Adaptive evolutionary clustering
KS Xu, M Kliger, AO Hero III
Data Mining and Knowledge Discovery 28 (2), 304-336, 2014
1752014
Stochastic block transition models for dynamic networks
KS Xu
Proceedings of the 18th International Conference on Artificial Intelligence …, 2015
1282015
Dynamic stochastic blockmodels: Statistical models for time-evolving networks
KS Xu, AO Hero III
Proceedings of the 6th International Conference on Social Computing …, 2013
118*2013
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks
M Rahman, TK Saha, MA Hasan, KS Xu, CK Reddy
arXiv preprint arXiv:1804.05755, 2018
522018
A regularized graph layout framework for dynamic network visualization
KS Xu, M Kliger, AO Hero III
Data Mining and Knowledge Discovery 27 (1), 84-116, 2013
502013
Unsupervised motion artifact detection in wrist-measured electrodermal activity data
Y Zhang, M Haghdan, KS Xu
Proceedings of the 21st ACM International Symposium on Wearable Computers, 54-57, 2017
492017
A compressed sensing based decomposition of electrodermal activity signals
S Jain, U Oswal, KS Xu, B Eriksson, J Haupt
IEEE Transactions on Biomedical Engineering 64 (9), 2142-2151, 2017
482017
Evolutionary spectral clustering with adaptive forgetting factor
KS Xu, M Kliger, AO Hero III
Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2010
432010
Tracking communities in dynamic social networks
KS Xu, M Kliger, AO Hero III
Proceedings of the 4th International Conference on Social Computing …, 2011
422011
Revealing social networks of spammers through spectral clustering
KS Xu, M Kliger, Y Chen, PJ Woolf, AO Hero III
Proceedings of the IEEE International Conference on Communications, 2009
412009
Multi-criteria anomaly detection using Pareto depth analysis
KJ Hsiao, KS Xu, J Calder, AO Hero III
Advances in Neural Information Processing Systems 25, 854-862, 2012
402012
Regularized parametric regression for high-dimensional survival analysis
Y Li, KS Xu, CK Reddy
Proceedings of SIAM International Conference on Data Mining, 2016
392016
The block point process model for continuous-time event-based dynamic networks
R Junuthula, M Haghdan, KS Xu, V Devabhaktuni
The World Wide Web Conference, 829-839, 2019
362019
Method for automatic tooth type recognition from 3D scans
G Somasundaram, R Sivalingam, EJ Ribnick, KS Xu, D Pachauri
US Patent 10,032,271, 2018
362018
Evaluating link prediction accuracy on dynamic networks with added and removed edges
RR Junuthula, KS Xu, VK Devabhaktuni
Proceedings of the 9th IEEE International Conference on Social Computing and …, 2016
342016
Multicriteria similarity-based anomaly detection using Pareto depth analysis
KJ Hsiao, KS Xu, J Calder, AO Hero
IEEE Transactions on Neural Networks and Learning Systems 27 (6), 1307-1321, 2016
312016
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
M Arastuie, S Paul, K Xu
Advances in Neural Information Processing Systems 33, 2020
272020
Empirical Comparison of Continuous and Discrete-time Representations for Survival Prediction
M Sloma, F Syed, M Nemati, KS Xu
Survival Prediction-Algorithms, Challenges and Applications, 118-131, 2021
192021
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