Fang Zhou
Zitiert von
Zitiert von
Compression of weighted graphs
H Toivonen, F Zhou, A Hartikainen, A Hinkka
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
Network simplification with minimal loss of connectivity
F Zhou, S Malher, H Toivonen
2010 IEEE international conference on data mining, 659-668, 2010
Predicting the geographical origin of music
F Zhou, Q Claire, RD King
2014 IEEE International Conference on Data Mining, 1115-1120, 2014
A framework for path-oriented network simplification
H Toivonen, S Mahler, F Zhou
International Symposium on Intelligent Data Analysis, 220-231, 2010
Simplification of networks by edge pruning
F Zhou, S Mahler, H Toivonen
Bisociative knowledge discovery, 179-198, 2012
Graph compression
F Zhou
Department of Computer Science and Helsinki Institute for Information …, 2015
Generalization-Aware Structured Regression towards Balancing Bias and Variance.
M Pavlovski, F Zhou, N Arsov, L Kocarev, Z Obradovic
IJCAI, 2616-2622, 2018
Summarisation of weighted networks
F Zhou, Q Qu, H Toivonen
Journal of Experimental & Theoretical Artificial Intelligence 29 (5), 1023-1052, 2017
Gaussian conditional random fields extended for directed graphs
T Vujicic, J Glass, F Zhou, Z Obradovic
Machine Learning 106 (9), 1271-1288, 2017
Network compression by node and edge mergers
H Toivonen, F Zhou, A Hartikainen, A Hinkka
Bisociative Knowledge Discovery, 199-217, 2012
Fusing web and audio predictors to localize the origin of music pieces for geospatial retrieval
M Schedl, F Zhou
European Conference on Information Retrieval, 322-334, 2016
Adaptive Skip-Train Structured Regression for Temporal Networks
M Pavlovski, F Zhou, I Stojkovic, L Kocarev, Z Obradovic
ECML-PKDD 45, S45, 2017
A Robust Descriptor for Color Texture Classification Under Varying Illumination.
TT Negri, F Zhou, Z Obradovic, A Gonzaga
VISIGRAPP (4: VISAPP), 378-388, 2017
Review of bisonet abstraction techniques
F Zhou, S Mahler, H Toivonen
Bisociative Knowledge Discovery, 166-178, 2012
Predicting poll trends using twitter and multivariate time-series classification
T Mirowski, S Roychoudhury, F Zhou, Z Obradovic
International Conference on Social Informatics, 273-289, 2016
The use of weighted graphs for large-scale genome analysis
F Zhou, H Toivonen, RD King
PloS one 9 (3), e89618, 2014
Review of network abstraction techniques
F Zhou, S Mahler, H Toivonen
Workshop on Explorative Analytics of Information Networks at ECML PKDD, 50-63, 2009
Mutual Information based Minimum Spanning Trees Model for Selecting Discriminative Genes
F Zhou, J He, W Zhong
Proceedings of The 7th IEEE International Conference on BioInformatics and …, 2007
Use of Disease Embedding Technique to Predict the Risk of Progression to End-Stage Renal Disease
F Zhou, A Gillespie, D Gligorijevic, J Gligorijevic, Z Obradovic
Journal of Biomedical Informatics, 103409, 2020
Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification
S Roychoudhury, F Zhou, Z Obradovic
Proceedings of the 2019 SIAM International Conference on Data Mining, 495-503, 2019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20