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2016

Conference Publication

When sensor meets tensor: filling missing sensor values through a tensor approach

Ruan, Wenjie, Xu, Peipei, Sheng, Quan Z., Tran, Nguyen Khoi, Falkner, Nickolas J. G., Li, Xue and Zhang, Wei Emma (2016). When sensor meets tensor: filling missing sensor values through a tensor approach. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983900

When sensor meets tensor: filling missing sensor values through a tensor approach

2016

Conference Publication

Outlier detection via minimum spanning tree

Tang, Xin, Huang, Wei, Li, Xue, Li, Shengli and Liu, Yuewen (2016). Outlier detection via minimum spanning tree. Pacific Asia Conference on Information Systems, PACIS, Chiayi, Taiwan, 27 June - 1 July 2016. Pacific Asia Conference on Information Systems.

Outlier detection via minimum spanning tree

2016

Conference Publication

Preface

Li, Jinyan, Li, Xue and Wang, Shuliang (2016). Preface. 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, Gold Coast, QLD, Australia, 12 - 15 December 2016. Berlin, Germany: Springer Verlag. doi: 10.1007/978-3-319-49586-6

Preface

2016

Conference Publication

Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength

Yao, Lina, Sheng, Quan Z., Ruan, Wenjie, Li, Xue, Wang, Sen and Yang, Zhi (2016). Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength. 2015 IEEE 21st International Conference on Parallel and Distributed Systems, ICPADS 2015, Melbourne, Victoria, Australia, 14- 17 December 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPADS.2015.23

Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength

2016

Conference Publication

Classification based on compressive multivariate time series

Utomo, Chandra, Li, Xue and Wang, Sen (2016). Classification based on compressive multivariate time series. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_16

Classification based on compressive multivariate time series

2016

Conference Publication

Forecasting seasonal time series using weighted gradient RBF network based autoregressive model

Ruan, Wenjie, Sheng, Quan Z., Xu, Peipei, Tran, Nguyen Khoi, Falkner, Nickolas J. G., Li, Xue and Zhang, Wei Emma (2016). Forecasting seasonal time series using weighted gradient RBF network based autoregressive model. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983899

Forecasting seasonal time series using weighted gradient RBF network based autoregressive model

2015

Conference Publication

An integrated Bayesian approach for effective multi-truth discovery

Wang, Xianzhi, Sheng, Quan Z., Fang, Xiu Susie, Yao, Lina, Xu, Xiaofei and Li, Xue (2015). An integrated Bayesian approach for effective multi-truth discovery. 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, Australia, 19-23 October 2015. New York, NY United States: The Association for Computing Machinery. doi: 10.1145/2806416.2806443

An integrated Bayesian approach for effective multi-truth discovery

2015

Conference Publication

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags

Ruan, Wenjie, Yao, Lina, Sheng, Quan Z., Falkner, Nickolas J.G., Li, Xue and Gu, Tao (2015). TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags. MOBIQUITOUS 2015, Coimbra, Portugal, 22-24 July 2015. Gent, Belgium: ICST. doi: 10.4108/eai.22-7-2015.2260072

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags

2015

Conference Publication

Unsupervised feature analysis with class margin optimization

Wang, Sen, Nie, Feiping, Chang, Xiaojun, Yao, Lina, Li, Xue and Sheng, Quan Z. (2015). Unsupervised feature analysis with class margin optimization. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 7-11 September 2015. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-23528-8_24

Unsupervised feature analysis with class margin optimization

2015

Conference Publication

RF-care: device-free posture recognition for elderly people using a passive RFID tag array

Yao, Lina, Sheng, Quan Z., Ruan, Wenjie, Gu, Tao, Li, Xue, Falkner, Nickolas J.G. and Yang, Zhi (2015). RF-care: device-free posture recognition for elderly people using a passive RFID tag array. 12th International Conference on Mobile and Ubiquitous Systems, Coimbra, Portugal, 22-24 July 2015. ICST. doi: 10.4108/icst.mobiquitous.2015.260064

RF-care: device-free posture recognition for elderly people using a passive RFID tag array

2015

Conference Publication

Approximate truth discovery via problem scale reduction

Wang, Xianzhi, Sheng, Quan Z., Fang, Xiu Susie, Li, Xue, Xu, Xiaofei and Yao, Lina (2015). Approximate truth discovery via problem scale reduction. 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC Australia, 19-23 October 2015. New York, NY United States: The Association for Computing Machinery. doi: 10.1145/2806416.2806444

Approximate truth discovery via problem scale reduction

2015

Conference Publication

Invariant event tracking on social networks

Unankard, Sayan, Li, Xue and Long, Guodong (2015). Invariant event tracking on social networks. 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015, Hanoi, Vietnam, 20-23 April 2015. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-18123-3_31

Invariant event tracking on social networks

2014

Conference Publication

An effective approach to handling noise and drift in electronic noses

Al-Maskari, Sanad, Li, Xue and Liu, Qihe (2014). An effective approach to handling noise and drift in electronic noses. 25th Australasian Database Conference, ADC 2014, Brisbane, QLD Australia, 14 - 16 July2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-08608-8_21

An effective approach to handling noise and drift in electronic noses

2014

Conference Publication

Exploring recommendations in Internet of Things

Yao, Lina, Sheng, Quan Z., Ngu, Anne H. H., Ashman Helen and Li, Xue (2014). Exploring recommendations in Internet of Things. 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014, Gold Coast, QLD Australia, 6-11 July 2014. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2600428.2609458

Exploring recommendations in Internet of Things

2014

Conference Publication

Semi-supervised learning for cyberbullying detection in social networks

Nahar, Vinita, Al-Maskari, Sanad, Li, Xue and Pang, Chaoyi (2014). Semi-supervised learning for cyberbullying detection in social networks. 25th Australasian Database Conference, ADC 2014, Brisbane, QLD, 14 - 16 July2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-08608-8_14

Semi-supervised learning for cyberbullying detection in social networks

2014

Conference Publication

Mining personal health index from annual geriatric medical examinations

Chen, Ling, Li, Xue, Wang, Sen, Hu, Hsiao-Yun, Huang, Nicole, Sheng, Quan Z. and Sharaf, Mohamed (2014). Mining personal health index from annual geriatric medical examinations. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDM.2014.32

Mining personal health index from annual geriatric medical examinations

2014

Conference Publication

Predicting elections from social networks based on sub-event detection and sentiment analysis

Unankard, Sayan, Li, Xue, Sharaf, Mohamed, Zhong, Jiang and Li, Xueming (2014). Predicting elections from social networks based on sub-event detection and sentiment analysis. 15th International Conference on Web Information Systems Engineering (WISE 2014), Thessaloniki, Greece, 12-14 October 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-11746-1_1

Predicting elections from social networks based on sub-event detection and sentiment analysis

2014

Conference Publication

Exploring tag-free RFID-based passive localization and tracking via learning-based probabilistic approaches

Yao, Lina, Ruan, Wenjie, Sheng, Quan Z., Li, Xue and Falkner, Nicholas J.G. (2014). Exploring tag-free RFID-based passive localization and tracking via learning-based probabilistic approaches. 23rd ACM International Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, 3-7 November 2014 . New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2661829.2661873

Exploring tag-free RFID-based passive localization and tracking via learning-based probabilistic approaches

2014

Conference Publication

Semi-supervised feature analysis for multimedia annotation by mining label correlation

Chang, Xiaojun, Shen, Haoquan, Wang, Sen, Liu, Jiajun and Li, Xue (2014). Semi-supervised feature analysis for multimedia annotation by mining label correlation. 18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014, Tainan, Taiwan, 13 - 16 May 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-06605-9_7

Semi-supervised feature analysis for multimedia annotation by mining label correlation

2014

Conference Publication

Dynamic background learning through deep auto-encoder networks

Xu, Pei, Liu, Qihe, Ye, Mao, Yang, Yi, Li, Xue and Ding, Jian (2014). Dynamic background learning through deep auto-encoder networks. 2014 ACM Conference on Multimedia, MM 2014, Orlando, FL, United States, 3 - 7 November 2014. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2647868.2654914

Dynamic background learning through deep auto-encoder networks