Sledovat
Fang Zhou
Název
Citace
Citace
Rok
Compression of weighted graphs
H Toivonen, F Zhou, A Hartikainen, A Hinkka
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
1732011
Predicting the geographical origin of music
F Zhou, Q Claire, RD King
2014 IEEE International Conference on Data Mining, 1115-1120, 2014
672014
Network simplification with minimal loss of connectivity
F Zhou, S Malher, H Toivonen
2010 IEEE international conference on data mining, 659-668, 2010
672010
Simplification of networks by edge pruning
F Zhou, S Mahler, H Toivonen
Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms …, 2012
392012
A framework for path-oriented network simplification
H Toivonen, S Mahler, F Zhou
Advances in Intelligent Data Analysis IX: 9th International Symposium, IDA …, 2010
382010
Graph compression
F Zhou
Department of Computer Science and Helsinki Institute for Information …, 2015
172015
Summarisation of weighted networks
F Zhou, Q Qu, H Toivonen
Journal of Experimental & Theoretical Artificial Intelligence 29 (5), 1023-1052, 2017
162017
Generalization-Aware Structured Regression towards Balancing Bias and Variance.
M Pavlovski, F Zhou, N Arsov, L Kocarev, Z Obradovic
IJCAI, 2616-2622, 2018
132018
Gaussian conditional random fields extended for directed graphs
T Vujicic, J Glass, F Zhou, Z Obradovic
Machine Learning 106, 1271-1288, 2017
132017
Network compression by node and edge mergers
H Toivonen, F Zhou, A Hartikainen, A Hinkka
Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms …, 2012
122012
Adaptive Skip-Train Structured Regression for Temporal Networks
M Pavlovski, F Zhou, I Stojkovic, L Kocarev, Z Obradovic
ECML-PKDD 45, S45, 2017
102017
Fusing web and audio predictors to localize the origin of music pieces for geospatial retrieval
M Schedl, F Zhou
Advances in Information Retrieval: 38th European Conference on IR Research …, 2016
92016
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
82020
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
82019
A robust descriptor for color texture classification under varying illumination
T Negri, F Zhou, Z Obradovic, A Gonzaga
International Conference on Computer Vision Theory and Applications 5, 378-388, 2017
82017
Review of bisonet abstraction techniques
F Zhou, S Mahler, H Toivonen
Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms …, 2012
82012
Predicting poll trends using twitter and multivariate time-series classification
T Mirowski, S Roychoudhury, F Zhou, Z Obradovic
Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA …, 2016
72016
The use of weighted graphs for large-scale genome analysis
F Zhou, H Toivonen, RD King
PloS One 9 (3), e89618, 2014
72014
Review of network abstraction techniques
F Zhou, S Mahler, H Toivonen
Workshop on Explorative Analytics of Information Networks at ECML PKDD, 50-63, 2009
72009
A Fast Structured Regression for Large Networks
F Zhou, M Ghalwash, Z Obradovic
2016 IEEE International Conference on Big Data, 106-115, 2016
62016
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Články 1–20