UCR

Computer Science and Engineering



R-LAIR: Riverside Lab for Artificial Intelligence Research

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Chengkuan Hong and Christian R. Shelton (2021). "Deep Neyman-Scott Processes." arXiv:2111.03949. bib/abs         arxiv
Chengkuan Hong and Christian R. Shelton (2021). "Convolutional Deep Exponential Families." arXiv:2110.14800. bib/abs         arxiv
Dave Gomboc and Christian R. Shelton (2021). "Chess endgame compression via logic minimization." Advances in Computer Games. to appear. bib/abs pdf        
Colin Lee (2021). Semi-Supervised Tracking of Multiple Identical Objects with Occlusions. Masters thesis, University of California at Riverside. bib/abs pdf        
Akber Raza, Chengkuan Hong, Xian Wang, Anshuman Kumar, Christian R. Shelton, and Bryan M. Wong (2021). "NIC-CAGE: An Open-Source Software Package for Predicting Optimal Control Fields in Photo-Excited Chemical Systems." Computer Physics Communications, 258, 107541. bib/abs pdf       ext
Seyedamirhossein Feghahati (2020). Deep Constrastive Explanation. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Kazi Tasnif Islam (2020). Marked Temporal Point Processes for Irregular Time Series in the Context of Medical Data and Recommendation Systems. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Leah Fauber, Ming-Feng Ho, Simeon Bird, Christian R. Shelton, Roman Garnett, and Ishita Korde (2020). "Automated Measurement of Quasar Redshift with a Gaussian Process." Monthly Notices of the Royal Astronomical Society. bib/abs pdf   codecode-2   arxiv
Sanjana Sandeep, Christian R. Shelton, Anja Pahor, Susanne M. Jaeggi, and Aaron R. Seitz (2020). "Application of Machine Learning Models for Tracking Participant Skills in Cognitive Training." Frontiers in Psychology, 11, 1532. bib/abs pdf       ext
Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, and Kevin Tang (2020). "CDeepEx: Contrastive Deep Explanations." European Conference on Artificial Intelligence. bib/abs pdf     mp4  
Dave Gomboc and Christian R. Shelton (2020). "Lossless compression via two-level logic minimization: a case study using Chess endgame data." 29th International Workshop on Logic and Synthesis. Version here corrects minor error in number of clauses for KN versus k. bib/abs pdf        
Kazi Islam and Christian Shelton (2019). "Neural Stochastic Differential Equations with Bayesian Jumps for Marked Temporal Point Process." NeurIPS workshop on Learning wtih Temporal Point Processes. bib/abs pdf        
Mike Izbicki and Christian R. Shelton (2019). "Distributed Learning of Neural Networks with One Round of Communication." 2nd International Workshop on Decentralized Machine Learning at the Edge (DMLE'19). bib/abs pdf        
Mike Izbicki and Christian R. Shelton (2019). "Distributed Learning of Non-Convex Linear Models with One Round of Communication." Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). bib/abs pdf        
Amirali Darvishzadeh, Thomas F. Stahovich, Amir Feghahati, Negin Entezari, Shaghayegh Gharghabi, Reed Kanemaru, and Christian Shelton (2019). "CNN-BLSTM-CRF Network for Semantic Labeling of Students' Online Handwritten Assignments." 15th International Conference on Document Analysis and Recognition. bib/abs pdf        
Jacob Fauber and Christian R. Shelton (2018). "Modeling ``Presentness'' of Electronic Health Record Data to Improve Patient State Estimation." Proceedings of Machine Learning for Healthcare. bib/abs pdf        
Michael Pazzani, Amir Feghahati, Christian Shelton, and Aaron Seitz (2018). "Explaining Contrasting Categories." IUI Workshop on Explainable Smart Systems. bib/abs pdf        
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    
Michael John Izbicki (2017). Divide and Conquer Algorithms for Machine Learning. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
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        
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        
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. 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 (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 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    
Mike Izbicki and Christian R. Shelton (2015). "Faster Cover Trees." Proceedings of the Thirty-Second International Conference on Machine Learning. 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        
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
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
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        
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
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        
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 avi mpg
Kevin Thomas Horan (2011). Gene Function Prediction Based on Sequence or Expression Data. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
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        
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        
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 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        
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    
Antony M. Lam (2010). Learning Ranking Functions for Video Search on the Web. Doctoral dissertation, University of California at Riverside. 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        
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    
Kevin Horan, Christian R. Shelton, and Thomas Girke (2010). "Predicting conserved protein motifs with Sub-HMMs." BMC Bioinformatics, 11(205), 1471-2105. bib/abs          
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 (2009). Continuous Time Bayesian Network Approximate Inference and Social Network Applications. Doctoral dissertation, University of California at Riverside. bib/abs pdf        
Teddy Yap, Jr. (2009). Mobile Robot Navigation With Low-Cost Sensors. 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    
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  
Kin Fai Kan (2008). Towards Information-Economical Classification and Ranking. Doctoral dissertation, University of California at Riverside. 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  
Guobiao Mei and Christian R. Shelton (2008). "Unsupervised Image Embedding Using Nonparametric Statistics." International Conference on Pattern Recognition. bib/abs pdf   ps 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    
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        
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        
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        
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  
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    
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    
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    

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