| Dave Gomboc, Christian R. Shelton, Andrew S. Miner, and Gianfranco Ciardo (2024). "Comparing Lossless Compression Methods for Chess Endgame Data." European Conference on Artificial Intelligence.
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| Marjuka F. Lazin, Christian R. Shelton, Simon N. Sandhofer, and Bryan M. Wong (2023). "High-Dimensional Multi-Fidelity Bayesian Optimization for Quantum Control." Machine Learning: Science and Technology, 4(4).
| bib/abs |
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| Malhar Manohar Thombare (2023). Improving Bayesian Optimization for Quantum Material Control. Masters thesis, University of California at Riverside.
| bib/abs |
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| Chengkuan Hong and Christian R. Shelton (2023). "Variational Inference for Neyman-Scott Processes." International Conference on Artificial Intelligence and Statistics.
| bib/abs |
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| Chengkuan Hong (2022). Deep Neyman-Scott Processes. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| Chengkuan Hong and Christian R. Shelton (2022). "Deep Neyman-Scott Processes." International Conference on Artificial Intelligence and Statistics.
| bib/abs |
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| | Chengkuan Hong and Christian R. Shelton (2021). "Deep Neyman-Scott Processes."
arXiv:2111.03949.
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| Chengkuan Hong and Christian R. Shelton (2021). "Convolutional Deep Exponential Families."
arXiv:2110.14800.
| bib/abs |
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| Dave Gomboc and Christian R. Shelton (2021). "Chess endgame compression via logic minimization." Advances in Computer Games.
| bib/abs |
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| Colin Lee (2021). Semi-Supervised Tracking of Multiple Identical Objects with Occlusions. Masters thesis, University of California at Riverside.
| bib/abs |
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| 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 |
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| Seyedamirhossein Feghahati (2020). Deep Constrastive Explanation. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| 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 |
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| 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 |
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| 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 |
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| Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, and Kevin Tang (2020). "CDeepEx: Contrastive Deep Explanations." European Conference on Artificial Intelligence.
| bib/abs |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Michael Pazzani, Amir Feghahati, Christian Shelton, and Aaron Seitz (2018). "Explaining Contrasting Categories." IUI Workshop on Explainable Smart Systems.
| bib/abs |
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| 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 |
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| Michael John Izbicki (2017). Divide and Conquer Algorithms for Machine Learning. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| 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 |
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| 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 |
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| 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 |
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| Emine Busra Celikkaya (2016). Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| 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 |
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| Zhen Qin (2015). Modeling Social and Temporal Context for Video Analysis. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| 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 |
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| Mike Izbicki and Christian R. Shelton (2015). "Faster Cover Trees." Proceedings of the Thirty-Second International Conference on Machine Learning.
| bib/abs |
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| Juan Ignacio Casse (2014). Automatic Co-Clustering for Social Network and Medical Data. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Zhen Qin and Christian R. Shelton (2012). "Improving Multi-target Tracking via Social Grouping." IEEE Conference on Computer Vision and Pattern Recognition.
| bib/abs |
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| Kevin Thomas Horan (2011). Gene Function Prediction Based on Sequence or Expression Data. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Jing Xu and Christian R. Shelton (2010). "Intrusion Detection using Continuous Time Bayesian Networks." Journal of Artificial Intelligence Research, 39, 745-774.
| bib/abs |
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| Antony M. Lam (2010). Learning Ranking Functions for Video Search on the Web. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| Jing Xu (2010). A Continuous Time Bayesian Network Approach for Intrusion Detection. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| 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 |
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| Kevin Horan, Christian R. Shelton, and Thomas Girke (2010). "Predicting conserved protein motifs with Sub-HMMs." BMC Bioinformatics, 11(205), 1471-2105.
| bib/abs |
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| 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 |
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| Yu Fan (2009). Continuous Time Bayesian Network Approximate Inference and Social Network Applications. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| Teddy Yap, Jr. (2009). Mobile Robot Navigation With Low-Cost Sensors. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| 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 |
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| 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 |
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| Kin Fai Kan (2008). Towards Information-Economical Classification and Ranking. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| Guobiao Mei (2008). Dimensionality Reduction Algorithms With Applications to Collaborative Data and Images. Doctoral dissertation, University of California at Riverside.
| bib/abs |
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| Guobiao Mei and Christian R. Shelton (2008). "Unsupervised Image Embedding Using Nonparametric Statistics." International Conference on Pattern Recognition.
| bib/abs |
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| Antony Lam and Christian R. Shelton (2008). "Face Recognition and Alignment using Support Vector Machines." Automatic Face and Gesture Recognition.
| bib/abs |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Christian R. Shelton, Wesley Huie, and Kin Fai Kan (2007). "Chained Boosting." Advances in Neural Information Processing Systems 19 (pp. 1281-1288).
| bib/abs |
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| 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 |
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| 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 |
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