From dynamic time warping (DTW) to hidden markov model (HMM) C Fang University of Cincinnati 3, 19, 2009 | 53 | 2009 |
Flow imaging and monitoring for synchronized management of wide area drainage R Kertesz, D Murray, M Bolan, R Anderson, C Fang US Patent 9,541,432, 2017 | 27 | 2017 |
Localizing temporal anomalies in large evolving graphs T Wang, C Fang, D Lin, SF Wu Proceedings of the 2015 SIAM International Conference on Data Mining, 927-935, 2015 | 22 | 2015 |
Molecular network analysis and applications M Zhang, J Deng, CV Fang, X Zhang, LJ Lu Knowledge-Based Bioinformatics, 253, 2010 | 21 | 2010 |
Graph Embedding Framework for Link Prediction and Vertex Behavior Modeling in Temporal Social Networks C Fang, M Kohram, X Meng, A Ralescu ACM SIG KDD, 2011 | 16 | 2011 |
Spectral regression with low-rank approximation for dynamic graph link prediction C Fang, M Kohram, AL Ralescu IEEE intelligent systems 26 (4), 48, 2011 | 12 | 2011 |
A hybrid learning from multi-behavior for malicious domain detection on enterprise network L Shi, D Lin, CV Fang, Y Zhai 2015 IEEE international conference on data mining workshop (ICDMW), 987-996, 2015 | 8 | 2015 |
Gaussian Mixture Model background modeling for video Manual version 1.0 C Fang Sep, 2008 | 5 | 2008 |
Detecting Parkinson's brain changes using local feature based regional SVM ensemble on MRI images C Fang, J Storrs, A Ralescu, JH Lee, J Lu Human Brain Mapping, 2011 | 4 | 2011 |
Graph spectra regression with low-rank approximation for dynamic graph link prediction C Fang, J Lu, A Ralescu NIPS2010 Workshop on Low-rank Methods for Large-scale Machine Learning …, 2010 | 4 | 2010 |
Towards a spectral regression with low-rank approximation approach for link prediction in dynamic graphs C Fang, M Kohram, A Ralescu IEEE Intelligent Systems Magazine (To appear, 2011 | 3 | 2011 |
Experiments on probability based similarity measures applied to image similarity C Fang, S Visa, M Ionescu, A Ralescu International Conf. for Pattern Recognition, Sensing Web Workshop, 2008 | 3 | 2008 |
Online Gaussian mixture model for concept modeling and discovery C Fang, AL Ralescu Int. J. Intell. Technol. Appl. Stat. 2 (1), 59-75, 2008 | 3 | 2008 |
Flow imaging and monitoring for synchronized management of wide area drainage R Kertesz, DJ MURRAY, M Bolan, R Anderson, C Fang US Patent 9,945,705, 2018 | 1 | 2018 |
A Dynamic Programming Approach for Heart Segmentation in Chest Radiographs CF Aarti Raheja, Jason Knapp MAICS 180 (184), http://ceur-ws.org/Vol-841/submission_29, 2012 | 1 | 2012 |
Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining C Fang, M Zhang, AL Ralescu, JL Lu 2010 IEEE International Conference on Data Mining Workshops, 695-702, 2010 | 1 | 2010 |
An integrative scoring approach to identify transcriptional regulations controlling lung surfactant homeostasis M Zhang, C Fang, Y Xu, RK Bhatnagar, LJ Lu 2010 IEEE International Conference on Data Mining Workshops, 787-792, 2010 | 1 | 2010 |
ProbSim-Annotation: A novel image annotation algorithm using a probability-based similarity measure C Fang, A Ralescu Proc. 20th Midwest Artif. Intell. Cognit. Sci. Conf., 1-8, 2009 | 1 | 2009 |
Content based image retrieval H Wang, Y Wang | 1 | 2008 |
Flow imaging and monitoring for synchronized management of wide area drainage R Kertesz, DJ MURRAY, M Bolan, R Anderson, C Fang US Patent App. 18/486,007, 2024 | | 2024 |