Content-Type: text/html R-LAIR: Riverside Lab for Artificial Intelligence Research

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R-LAIR: Riverside Lab for Artificial Intelligence Research

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Stochastic Processes
Christian R. Shelton, Zhen Qin, and Chandini Shetty (2018). "Hawkes Process Inference with Missing Data." Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. bib/abs pdf supp.pdf   code  
Zhen Qin and Christian R. Shelton (2017). "Event Detection in Continuous Video: An Inference in Point Process Approach." IEEE Transactions on Image Processing, 26(12), 5680-5691. bib/abs pdf        
Mike Ibicki, Sajjad Amini, Christian R. Shelton, and Hamed Mohsenian-Rad (2017). "Identification of Destabilizing Attacks in Power Systems." Proceedings of the 2017 American Control Conference. to appear. bib/abs pdf        
Kazi T. Islam, Christian R. Shelton, Juan I. Casse, and Randall Wetzel (2017). "Marked Point Process for Severity of Illness Assessment." Proceedings of Machine Learning for Healthcare. bib/abs pdf        
Emine Busra Celikkaya (2016). Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Zhen Qin and Christian R. Shelton (2015). "Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models." Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence. bib/abs pdf     code  
Robinder G. Khemani, E. Busra Celikkaya, Christian R. Shelton, Dave Kale, Patrick A. Ross, Randall C. Wetzel, and Christopher J. L. Newth (2014). "Algorithms to estimate PaCO2 and pH using non-invasive parameters for children with Hypoxemic Respiratory Failure." Respiratory Care, 59(8), 1248-1257. bib/abs         ext
E. Busra Celikkaya and Christian R. Shelton (2014). "Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes." Proceedings of the Thirty-First International Conference on Machine Learning. [version here corrects typos and error in Figure 2]. bib/abs pdf       stream
E. Busra Celikkaya, Christian R. Shelton, and William Lam (2011). "Factored Filtering of Continuous-Time Systems." Proceedings of the Twenty-Seventh International Conference on Uncertainty in Artificial Intelligence. bib/abs pdf        
Jing Xu (2010). A Continuous Time Bayesian Network Approach for Intrusion Detection. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Christian R. Shelton, Yu Fan, William Lam, Joon Lee, and Jing Xu (2010). "Continuous Time Bayesian Network Reasoning and Learning Engine." Journal of Machine Learning Research, 11(Mar), 1137-1140. bib/abs pdf     code  
Yu Fan, Jing Xu, and Christian R. Shelton (2010). "Importance Sampling for Continuous Time Bayesian Networks." Journal of Machine Learning Research, 11(Aug), 2115-2140. bib/abs pdf   ps    
Jing Xu and Christian R. Shelton (2010). "Intrusion Detection using Continuous Time Bayesian Networks." Journal of Artificial Intelligence Research, 39, 745-774. bib/abs pdf   ps    
Yu Fan (2009). Continuous Time Bayesian Network Approximate Inference and Social Network Applications. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Yu Fan and Christian R. Shelton (2009). "Learning Continuous-Time Social Network Dynamics." Proceedings of the Twenty-Fifth International Conference on Uncertainty in Artificial Intelligence. bib/abs pdf   ps    
Jing Xu and Christian R. Shelton (2008). "Continuous Time Bayesian Networks for Host Level Network Intrusion Detection." Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (LNAI, vol 5212) (pp. 613-627). © Springer-Verlag. bib/abs pdf        
Yu Fan and Christian R. Shelton (2008). "Sampling for Approximate Inference in Continuous Time Bayesian Networks." Tenth International Symposium on Artificial Intelligence and Mathematics. bib/abs pdf   ps    
Teddy N. Yap, Jr. and Christian R. Shelton (2008). "Simultaneous Learning of Motion and Sensor Model Parameters for Mobile Robots." Proceedings of the IEEE International Conference on Robotics and Automation (pp. 2091-2097). bib/abs pdf   ps ps.gz  
Kin Fai Kan and Christian R. Shelton (2008). "Solving Structured Continuous-Time Markov Decision Processes." Tenth International Symposium on Artificial Intelligence and Mathematics. bib/abs pdf   ps    
 
Vision
Zhen Qin and Christian R. Shelton (2017). "Event Detection in Continuous Video: An Inference in Point Process Approach." IEEE Transactions on Image Processing, 26(12), 5680-5691. bib/abs pdf        
Zhen Qin and Christian R. Shelton (2016). "Social Grouping for Multi-target Tracking and Head Pose Estimation in Video." IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 2082-2095. bib/abs pdf        
Zhen Qin (2015). Modeling Social and Temporal Context for Video Analysis. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Zhen Qin, Christian R. Shelton, and Lunshao Chai (2013). "Social Grouping for Target Handover in Multi-View Video." IEEE International Conference on Multimedia and Expo. bib/abs pdf        
Zhen Qin and Christian R. Shelton (2012). "Improving Multi-target Tracking via Social Grouping." IEEE Conference on Computer Vision and Pattern Recognition. bib/abs pdf     code avimpg
Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, and Christian R. Shelton (2012). "Re-Ranking using Compression-based Distance Measure for Content-based Commercial Product Image Retrieval." IEEE International Conference on Image Processing. bib/abs pdf        
Alec C. Gerry, G. E. Higginbotham, N. Periera, A. Lam, and C. R. Shelton (2011). "Evaluation of Surveillance Methods for Monitoring House Fly Abundance and Activity on Large Commercial Dairy Operations." Journal of Economic Entomology, 104(3), 1087-1092. bib/abs pdf     soft  
Antony M. Lam (2010). Learning Ranking Functions for Video Search on the Web. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Antony Lam, Amit K. Roy-Chowdhury, and Christian R. Shelton (2010). "Interactive Event Search Through Transfer Learning." Tenth Asian Conference on Computer Vision. bib/abs pdf        
Guobiao Mei (2008). Dimensionality Reduction Algorithms With Applications to Collaborative Data and Images. Doctoral dissertation, University of California at Riverside. bib/abs pdf     ps.gz  
Antony Lam and Christian R. Shelton (2008). "Face Recognition and Alignment using Support Vector Machines." Automatic Face and Gesture Recognition. bib/abs pdf   ps    
Guobiao Mei and Christian R. Shelton (2008). "Unsupervised Image Embedding Using Nonparametric Statistics." International Conference on Pattern Recognition. bib/abs pdf   ps ps.gz  
Guobiao Mei and Christian R. Shelton (2006). "Visualization of Collaborative Data." Proceedings of the Twenty-Second International Conference on Uncertainty in Artificial Intelligence (pp. 341-348). bib/abs pdf   ps    
 
Medical Informatics
Kazi T. Islam, Christian R. Shelton, Juan I. Casse, and Randall Wetzel (2017). "Marked Point Process for Severity of Illness Assessment." Proceedings of Machine Learning for Healthcare. bib/abs pdf        
Emine Busra Celikkaya (2016). Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Juan Ignacio Casse (2014). Automatic Co-Clustering for Social Network and Medical Data. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Robinder G. Khemani, E. Busra Celikkaya, Christian R. Shelton, Dave Kale, Patrick A. Ross, Randall C. Wetzel, and Christopher J. L. Newth (2014). "Algorithms to estimate PaCO2 and pH using non-invasive parameters for children with Hypoxemic Respiratory Failure." Respiratory Care, 59(8), 1248-1257. bib/abs         ext
 
Social Networks
Zhen Qin and Christian R. Shelton (2016). "Social Grouping for Multi-target Tracking and Head Pose Estimation in Video." IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 2082-2095. bib/abs pdf        
Zhen Qin (2015). Modeling Social and Temporal Context for Video Analysis. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Juan Ignacio Casse (2014). Automatic Co-Clustering for Social Network and Medical Data. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Juan I. Casse, Christian R. Shelton, and Robert A. Hanneman (2013). "A new criterion function for exploratory blockmodeling for structural and regular equivalence." Social Networks, 35(1), 31-50. bib/abs         ext
Zhen Qin, Christian R. Shelton, and Lunshao Chai (2013). "Social Grouping for Target Handover in Multi-View Video." IEEE International Conference on Multimedia and Expo. bib/abs pdf        
Zhen Qin and Christian R. Shelton (2012). "Improving Multi-target Tracking via Social Grouping." IEEE Conference on Computer Vision and Pattern Recognition. bib/abs pdf     code avimpg
Yu Fan (2009). Continuous Time Bayesian Network Approximate Inference and Social Network Applications. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Yu Fan and Christian R. Shelton (2009). "Learning Continuous-Time Social Network Dynamics." Proceedings of the Twenty-Fifth International Conference on Uncertainty in Artificial Intelligence. bib/abs pdf   ps    
 
Memory-Based Learning
Mike Izbicki and Christian R. Shelton (2015). "Faster Cover Trees." Proceedings of the Thirty-Second International Conference on Machine Learning. bib/abs pdf        
 
Computational Biology
Kevin Thomas Horan (2011). Gene Function Prediction Based on Sequence or Expression Data. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Kevin Horan, Christian R. Shelton, and Thomas Girke (2010). "Predicting conserved protein motifs with Sub-HMMs." BMC Bioinformatics, 11(205), 1471-2105. bib/abs          
Kevin Horan, Charles Jang, Julie Bailey-Serres, Ron Mittler, Christian Shelton, Jeff F Harper, Jian-Kang Zhu, John JC Cushman, Martin Gollery, and Thomas Girke (2008). "Annotating Genes of Known and Unknown Function by Large-Scale Co-Expression Analysis." Plant Physiology. bib/abs pdf        
 
Robotics
Teddy N. Yap, Jr., Mingyang Li, Anastasios I. Mourikis, and Christian R. Shelton (2011). "A Particle Filter for Monocular Vision-Aided Odometry." Proceedings of the IEEE International Conference on Robotics and Automation. bib/abs pdf        
Teddy Yap, Jr. (2009). Mobile Robot Navigation With Low-Cost Sensors. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Teddy N. Yap, Jr. and Christian R. Shelton (2009). "SLAM in Large Indoor Environments with Low-Cost, Noisy, and Sparse Sonars." Proceedings of the IEEE International Conference on Robotics and Automation (pp. 1395-1401). bib/abs pdf   ps ps.gz  
Teddy N. Yap, Jr. and Christian R. Shelton (2008). "Simultaneous Learning of Motion and Sensor Model Parameters for Mobile Robots." Proceedings of the IEEE International Conference on Robotics and Automation (pp. 2091-2097). bib/abs pdf   ps ps.gz  
 
Intrusion Detection
Jing Xu (2010). A Continuous Time Bayesian Network Approach for Intrusion Detection. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Jing Xu and Christian R. Shelton (2010). "Intrusion Detection using Continuous Time Bayesian Networks." Journal of Artificial Intelligence Research, 39, 745-774. bib/abs pdf   ps    
Jing Xu and Christian R. Shelton (2008). "Continuous Time Bayesian Networks for Host Level Network Intrusion Detection." Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (LNAI, vol 5212) (pp. 613-627). © Springer-Verlag. bib/abs pdf        
 
Transfer Learning
Antony M. Lam (2010). Learning Ranking Functions for Video Search on the Web. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Antony Lam, Amit K. Roy-Chowdhury, and Christian R. Shelton (2010). "Interactive Event Search Through Transfer Learning." Tenth Asian Conference on Computer Vision. bib/abs pdf        
 
Collaborative Data
Guobiao Mei (2008). Dimensionality Reduction Algorithms With Applications to Collaborative Data and Images. Doctoral dissertation, University of California at Riverside. bib/abs pdf     ps.gz  
Guobiao Mei and Christian R. Shelton (2008). "Unsupervised Image Embedding Using Nonparametric Statistics." International Conference on Pattern Recognition. bib/abs pdf   ps ps.gz  
Titus Winters, Christian R. Shelton, and Tom Payne (2007). "Investigating Generative Factors of Score Matrices." Thirteenth International Conference on Artificial Intelligence in Education (pp. 479-486). bib/abs pdf        
Guobiao Mei and Christian R. Shelton (2006). "Visualization of Collaborative Data." Proceedings of the Twenty-Second International Conference on Uncertainty in Artificial Intelligence (pp. 341-348). bib/abs pdf   ps    
 
Sequential Decision-Making
Kin Fai Kan (2008). Towards Information-Economical Classification and Ranking. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Kin Fai Kan and Christian R. Shelton (2008). "Catenary Support Vector Machines." Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (LNAI, vol 5211) (pp. 597-610). © Springer-Verlag. bib/abs pdf        
Kin Fai Kan and Christian R. Shelton (2008). "Solving Structured Continuous-Time Markov Decision Processes." Tenth International Symposium on Artificial Intelligence and Mathematics. bib/abs pdf   ps    
Christian R. Shelton, Wesley Huie, and Kin Fai Kan (2007). "Chained Boosting." Advances in Neural Information Processing Systems 19 (pp. 1281-1288). bib/abs pdf   ps    
 
Computer Science Education
Titus Winters, Christian R. Shelton, and Tom Payne (2007). "Investigating Generative Factors of Score Matrices." Thirteenth International Conference on Artificial Intelligence in Education (pp. 479-486). bib/abs pdf        

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