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ORCIDAndrea L. Bertozzi
Person information
- affiliation: University of California, Los Angeles, USA
- award: Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2023
[i36]Dominic Yang, Yurun Ge, Thien Nguyen, Jacob D. Moorman, Denali Molitor, Andrea L. Bertozzi:
Structural Equivalence in Subgraph Matching. CoRR abs/2301.03161 (2023)- 2022
- [j65]Karthik Elamvazhuthi
, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher:
Neural ODE Control for Trajectory Approximation of Continuity Equation. IEEE Control. Syst. Lett. 6: 3152-3157 (2022) - [j64]Xia Li, Chuntian Wang, Hao Li, Andrea L. Bertozzi:
A martingale formulation for stochastic compartmental susceptible-infected-recovered (SIR) models to analyze finite size effects in COVID-19 case studies. Networks Heterog. Media 17(3): 311-331 (2022) - [j63]Kyung Ha, Brendan Harding, Andrea L. Bertozzi, Yvonne M. Stokes:
Dynamics of Small Particle Inertial Migration in Curved Square Ducts. SIAM J. Appl. Dyn. Syst. 21(1): 714-734 (2022) - [j62]Bao Wang, Tan M. Nguyen, Tao Sun, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher:
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. SIAM J. Imaging Sci. 15(2): 738-761 (2022) - [c55]Harlin Lee, Andrea L. Bertozzi, Jelena Kovacevic, Yuejie Chi:
Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization. ICASSP 2022: 5947-5951 - [c54]Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
GRAND++: Graph Neural Diffusion with A Source Term. ICLR 2022 - [i35]Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi:
Graph-based Active Learning for Semi-supervised Classification of SAR Data. CoRR abs/2204.00005 (2022) - [i34]Justin Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs. CoRR abs/2204.08621 (2022) - [i33]Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher:
Neural ODE Control for Trajectory Approximation of Continuity Equation. CoRR abs/2205.09241 (2022) - [i32]Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi:
Active Learning of Non-semantic Speech Tasks with Pretrained Models. CoRR abs/2211.00119 (2022) - 2021
- [j61]Hannah Dröge, Baichuan Yuan, Rafael Llerena, Jesse T. Yen, Michael Möller, Andrea L. Bertozzi:
Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. J. Imaging 7(10): 213 (2021) - [j60]Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi:
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 59(4): 3338-3351 (2021) - [j59]Geoffrey Iyer, Jocelyn Chanussot, Andrea L. Bertozzi:
A Graph-Based Approach for Data Fusion and Segmentation of Multimodal Images. IEEE Trans. Geosci. Remote. Sens. 59(5): 4419-4429 (2021) - [j58]Jacob D. Moorman, Thomas K. Tu, Qinyi Chen, Xie He, Andrea L. Bertozzi:
Subgraph Matching on Multiplex Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 1367-1384 (2021) - [c53]Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham:
An Analysis of COVID-19 Knowledge Graph Construction and Applications. IEEE BigData 2021: 2631-2640 - [c52]Yurun Ge, Andrea L. Bertozzi:
Active Learning for the Subgraph Matching Problem. IEEE BigData 2021: 2641-2649 - [c51]Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
Heavy Ball Neural Ordinary Differential Equations. NeurIPS 2021: 18646-18659 - [i31]Hangjie Ji, Kyle Lafata, Yvonne Mowery, David Brizel, Andrea L. Bertozzi, Fang-Fang Yin, Chunhao Wang:
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application. CoRR abs/2105.10650 (2021) - [i30]Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael R. Lindstrom, Christian Parkinson, Chuntian Wang, Andrea L. Bertozzi, Mason A. Porter:
A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions. CoRR abs/2107.01713 (2021) - [i29]Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
Heavy Ball Neural Ordinary Differential Equations. CoRR abs/2110.04840 (2021) - [i28]Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham:
An Analysis of COVID-19 Knowledge Graph Construction and Applications. CoRR abs/2110.04932 (2021) - [i27]Kevin Miller, Andrea L. Bertozzi:
Model-Change Active Learning in Graph-Based Semi-Supervised Learning. CoRR abs/2110.07739 (2021) - [i26]Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang:
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. CoRR abs/2112.15486 (2021) - 2020
- [j57]Zachary M. Boyd, Mason A. Porter, Andrea L. Bertozzi:
Stochastic Block Models are a Discrete Surface Tension. J. Nonlinear Sci. 30(5): 2429-2462 (2020) - [j56]Kevin Bui, Jacob Fauman, David Kes, Leticia Torres Mandiola, Adina Ciomaga, Ricardo Salazar, Andrea L. Bertozzi, Jérôme Gilles, Dominic P. Goronzy, Andrew I. Guttentag, Paul S. Weiss:
Segmentation of scanning tunneling microscopy images using variational methods and empirical wavelets. Pattern Anal. Appl. 23(2): 625-651 (2020) - [j55]Christian Parkinson, David Arnold, Andrea L. Bertozzi, Stanley J. Osher:
A Model for Optimal Human Navigation with Stochastic Effects. SIAM J. Appl. Math. 80(4): 1862-1881 (2020) - [c50]Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto:
Zero Shot Learning with the Isoperimetric Loss. AAAI 2020: 10704-10712 - [c49]Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. IEEE BigData 2020: 2508-2512 - [c48]Thomas K. Tu, Jacob D. Moorman, Dominic Yang, Qinyi Chen, Andrea L. Bertozzi:
Inexact Attributed Subgraph Matching. IEEE BigData 2020: 2575-2582 - [c47]Sian Wen, Andy Chen, Tanishq Bhatia, Nicholas Liskij, David Hyde, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory. IEEE BigData 2020: 3237-3245 - [c46]Ruofei Wu, Chenxin Yang, David Hyde, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Emotion Classification and Textual Clustering Techniques for Gang Intervention Data. IEEE BigData 2020: 3246-3254 - [c45]Christian Parkinson, Andrea L. Bertozzi, Stanley J. Osher:
A Hamilton-Jacobi Formulation for Time-Optimal Paths of Rectangular Nonholonomic Vehicles. CDC 2020: 4073-4078 - [c44]Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang:
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. ICLR 2020 - [c43]Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin:
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. LOD (2) 2020: 362-381 - [c42]Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. NeurIPS 2020 - [i25]Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher:
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. CoRR abs/2002.10583 (2020) - [i24]Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher:
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. CoRR abs/2003.00631 (2020) - [i23]Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. CoRR abs/2006.06919 (2020) - [i22]Kevin Miller, Hao Li, Andrea L. Bertozzi:
Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations. CoRR abs/2007.11126 (2020) - [i21]Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, Andrew M. Stuart:
Posterior Consistency of Semi-Supervised Regression on Graphs. CoRR abs/2007.12809 (2020) - [i20]Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. CoRR abs/2011.11804 (2020)
2010 – 2019
- 2019
- [j54]Omri Azencot, Wotao Yin, Andrea L. Bertozzi:
Consistent Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 18(3): 1565-1585 (2019) - [j53]David J. Arnold, Dayne Fernandez, Ruizhe Jia, Christian Parkinson, Deborah Tonne, Yotam Yaniv, Andrea L. Bertozzi, Stanley J. Osher:
Modeling Environmental Crime in Protected Areas Using the Level Set Method. SIAM J. Appl. Math. 79(3): 802-821 (2019) - [j52]Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter:
Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction. SIAM J. Math. Data Sci. 1(2): 356-382 (2019) - [j51]Lucas Drumetz, Travis R. Meyer, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten:
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms. IEEE Trans. Image Process. 28(7): 3435-3450 (2019) - [c41]Hui Jin, Xie He, Yanghui Wang, Hao Li, Andrea L. Bertozzi:
Noisy Subgraph Isomorphisms on Multiplex Networks. IEEE BigData 2019: 4899-4905 - [c40]Thien Nguyen, Dominic Yang, Yurun Ge, Hao Li, Andrea L. Bertozzi:
Applications of Structural Equivalence to Subgraph Isomorphism on Multichannel Multigraphs. IEEE BigData 2019: 4913-4920 - [c39]Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell:
Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. CIKM 2019: 2773-2781 - [c38]Yiling Qiao, Chang Shi, Chenjian Wang, Hao Li, Matt Haberland, Xiyang Luo, Andrew M. Stuart, Andrea L. Bertozzi:
Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos. Image Processing: Algorithms and Systems 2019 - [c37]Wen-Hao Chiang, Baichuan Yuan, Hao Li, Bao Wang, Andrea L. Bertozzi, Jeremy G. Carter, Brad Ray, George O. Mohler:
SOS-EW: System for Overdose Spike Early Warning Using Drug Mover's Distance-Based Hawkes Processes. PKDD/ECML Workshops (1) 2019: 538-554 - [c36]Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin:
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. WCGO 2019: 730-739 - [c35]Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, Andrea L. Bertozzi:
Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. WHISPERS 2019: 1-5 - [i19]Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin:
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. CoRR abs/1902.05113 (2019) - [i18]Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto:
Zero Shot Learning with the Isoperimetric Loss. CoRR abs/1903.06781 (2019) - [i17]Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi:
Quantifying Robotic Swarm Coverage. CoRR abs/1905.07655 (2019) - 2018
- [j50]Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi:
Unsupervised record matching with noisy and incomplete data. Int. J. Data Sci. Anal. 6(2): 109-129 (2018) - [j49]Don A. Vaughn, Welmoed K. van Deen, Wesley T. Kerr, Travis R. Meyer, Andrea L. Bertozzi, Daniel W. Hommes, Mark S. Cohen:
Using insurance claims to predict and improve hospitalizations and biologics use in members with inflammatory bowel diseases. J. Biomed. Informatics 81: 93-101 (2018) - [j48]Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis:
Uncertainty Quantification in Graph-Based Classification of High Dimensional Data. SIAM/ASA J. Uncertain. Quantification 6(2): 568-595 (2018) - [j47]Zachary M. Boyd, Egil Bae, Xue-Cheng Tai, Andrea L. Bertozzi:
Simplified Energy Landscape for Modularity Using Total Variation. SIAM J. Appl. Math. 78(5): 2439-2464 (2018) - [j46]Fangbo Zhang, Andrea L. Bertozzi, Karthik Elamvazhuthi, Spring Berman:
Performance Bounds on Spatial Coverage Tasks by Stochastic Robotic Swarms. IEEE Trans. Autom. Control. 63(6): 1473-1488 (2018) - [j45]Yang Xu, Zebin Wu, Jocelyn Chanussot, Mauro Dalla Mura, Andrea L. Bertozzi, Zhihui Wei:
Low-Rank Decomposition and Total Variation Regularization of Hyperspectral Video Sequences. IEEE Trans. Geosci. Remote. Sens. 56(3): 1680-1694 (2018) - [c34]Jacob D. Moorman, Qinyi Chen, Thomas K. Tu, Zachary M. Boyd, Andrea L. Bertozzi:
Filtering Methods for Subgraph Matching on Multiplex Networks. IEEE BigData 2018: 3980-3985 - [c33]Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi:
Quantitative Assessment of Robotic Swarm Coverage. ICINCO (2) 2018: 101-111 - [c32]Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi:
Quantifying Robotic Swarm Coverage. ICINCO (Selected Papers) 2018: 276-301 - [c31]Huimin Yu, Zebin Wu, Jie Wei, Yang Xu, Jocelyn Chanussot, Andrea L. Bertozzi, Linlin Shi, Zhihui Wei:
GPU Parallel Implementation of Gas Plume Detection in Hyperspectral Video Sequences. IGARSS 2018: 2781-2784 - [c30]Yoni Dukler, Yurun Ge, Yizhou Qian, Shintaro Yamamoto, Baichuan Yuan, Long Zhao, Andrea L. Bertozzi, Blake Hunter, Rafael Llerena, Jesse T. Yen:
Automatic valve segmentation in cardiac ultrasound time series data. Medical Imaging: Image Processing 2018: 105741Y - [c29]María Díaz, Jocelyn Chanussot, Raúl Guerra, Sebastián López, Roberto Sarmiento, Andrea L. Bertozzi:
A Novel Highly Parallel Algorithm For The Detection And Tracking Of Chemical Gas Plumes Using Hyperspectral Video Sequences. WHISPERS 2018: 1-5 - [c28]Wenting Shang, Zebin Wu, Jie Wei, Yang Xu, Ling Qian, Zhihui Wei, Jocelyn Chanussot, Andrea L. Bertozzi:
Gas Plume Detection in Hyperspectral Video Sequence Using Tensor Nuclear Norm. WHISPERS 2018: 1-4 - [i16]Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. CoRR abs/1804.00684 (2018) - [i15]Kevin Bui, Jacob Fauman, David Kes, Leticia Torres Mandiola, Adina Ciomaga, Ricardo Salazar, Andrea L. Bertozzi, Jérôme Gilles, Andrew I. Guttentag, Paul S. Weiss:
Segmentation of Scanning Tunneling Microscopy Images Using Variational Methods and Empirical Wavelets. CoRR abs/1804.08890 (2018) - [i14]Zachary M. Boyd, Mason A. Porter, Andrea L. Bertozzi:
Stochastic Block Models are a Discrete Surface Tension. CoRR abs/1806.02485 (2018) - [i13]Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher:
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR abs/1809.08516 (2018) - [i12]Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter:
Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction. CoRR abs/1811.06321 (2018) - 2017
- [j44]Zhaoyi Meng, Ekaterina Merkurjev, Alice Koniges, Andrea L. Bertozzi:
Hyperspectral Image Classification Using Graph Clustering Methods. Image Process. Line 7: 218-245 (2017) - [j43]Dominique Zosso, Konstantin Dragomiretskiy, Andrea L. Bertozzi, Paul S. Weiss:
Two-Dimensional Compact Variational Mode Decomposition - Spatially Compact and Spectrally Sparse Image Decomposition and Segmentation. J. Math. Imaging Vis. 58(2): 294-320 (2017) - [j42]Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso, Da Kuang:
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. IEEE Trans. Geosci. Remote. Sens. 55(5): 2786-2798 (2017) - [j41]Guillaume Tochon, Jocelyn Chanussot, Mauro Dalla Mura, Andrea L. Bertozzi:
Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking. IEEE Trans. Geosci. Remote. Sens. 55(8): 4567-4585 (2017) - [c27]Victoria Chayes, Kevin Miller, Rasika Bhalerao, Jiajie Luo, Wei Zhu, Andrea L. Bertozzi, Wenzhi Liao, Stanley J. Osher:
Pre-processing and classification of hyperspectral imagery via selective inpainting. ICASSP 2017: 6195-6199 - [c26]Geoffrey Iyer, Jocelyn Chanussot, Andrea L. Bertozzi:
A graph-based approach for feature extraction and segmentation of multimodal images. ICIP 2017: 3320-3324 - [c25]Hanjun Li, Chunhan Feng, Henry Ehrhard, Yijun Shen, Bernardo Cobos, Fangbo Zhang, Karthik Elamvazhuthi, Spring Berman, Matt Haberland, Andrea L. Bertozzi:
Decentralized stochastic control of robotic swarm density: Theory, simulation, and experiment. IROS 2017: 4341-4347 - [c24]Baichuan Yuan, Sathya R. Chitturi, Geoffrey Iyer, Nuoyu Li, Xiaochuan Xu, Ruohan Zhan, Rafael Llerena, Jesse T. Yen, Andrea L. Bertozzi:
Machine learning for cardiac ultrasound time series data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101372D - [i11]Da Kuang, P. Jeffrey Brantingham, Andrea L. Bertozzi:
Crime Topic Modeling. CoRR abs/1701.01505 (2017) - [i10]Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis:
Uncertainty Quantification in the Classification of High Dimensional Data. CoRR abs/1703.08816 (2017) - [i9]Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi:
Unsupervised record matching with noisy and incomplete data. CoRR abs/1704.02955 (2017) - [i8]Bao Wang, Duo Zhang, Duanhao Zhang, P. Jeffrey Brantingham, Andrea L. Bertozzi:
Deep Learning for Real Time Crime Forecasting. CoRR abs/1707.03340 (2017) - [i7]Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin:
Deep Learning for Real-Time Crime Forecasting and its Ternarization. CoRR abs/1711.08833 (2017) - 2016
- [j40]Katy Craig, Andrea L. Bertozzi:
A blob method for the aggregation equation. Math. Comput. 85(300): 1681-1717 (2016) - [j39]Sean Wilson, Ruben Gameros, Michael Sheely, Matthew Lin, Kathryn Dover, Robert Gevorkyan, Matt Haberland, Andrea L. Bertozzi, Spring Berman:
Pheeno, A Versatile Swarm Robotic Research and Education Platform. IEEE Robotics Autom. Lett. 1(2): 884-891 (2016) - [j38]Andrea L. Bertozzi, John B. Garnett, Thomas Laurent, Joan Verdera:
The Regularity of the Boundary of a Multidimensional Aggregation Patch. SIAM J. Math. Anal. 48(6): 3789-3819 (2016) - [j37]Andrea L. Bertozzi, Arjuna Flenner:
Diffuse Interface Models on Graphs for Classification of High Dimensional Data. SIAM Rev. 58(2): 293-328 (2016) - [c23]Travis R. Meyer, Lucas Drumetz, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten:
Hyperspectral unmixing with material variability using social sparsity. ICIP 2016: 2187-2191 - [c22]Yang Xu, Zebin Wu, Zhihui Wei, Mauro Dalla Mura, Jocelyn Chanussot, Andrea L. Bertozzi:
GAS plume detection in hyperspectral video sequence using low rank representation. ICIP 2016: 2221-2225 - [c21]Zhaoyi Meng, Alice Koniges, Yun (Helen) He, Samuel Williams, Thorsten Kurth, Brandon Cook, Jack Deslippe, Andrea L. Bertozzi:
OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms. IWOMP 2016: 17-31 - [i6]Da Kuang, Zuoqiang Shi, Stanley J. Osher, Andrea L. Bertozzi:
A Harmonic Extension Approach for Collaborative Ranking. CoRR abs/1602.05127 (2016) - [i5]Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Da Kuang, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso:
Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. CoRR abs/1604.08182 (2016) - 2015
- [j36]Ekaterina Merkurjev, Egil Bae, Andrea L. Bertozzi, Xue-Cheng Tai:
Global Binary Optimization on Graphs for Classification of High-Dimensional Data. J. Math. Imaging Vis. 52(3): 414-435 (2015) - [i4]Charles Z. Marshak, M. Puck Rombach, Andrea L. Bertozzi, Maria R. D'Orsogña:
Pursuit on an Organized Crime Network. CoRR abs/1510.08106 (2015) - 2014
- [j35]Ekaterina Merkurjev, Cristina Garcia-Cardona, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus:
Diffuse interface methods for multiclass segmentation of high-dimensional data. Appl. Math. Lett. 33: 29-34 (2014) - [j34]Mario Micheli, Yifei Lou, Stefano Soatto, Andrea L. Bertozzi:
A Linear Systems Approach to Imaging Through Turbulence. J. Math. Imaging Vis. 48(1): 185-201 (2014) - [j33]Cristina Garcia-Cardona, Ekaterina Merkurjev, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus:
Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1600-1613 (2014) - [j32]Li Wang, Andrea L. Bertozzi:
Shock Solutions for High Concentration Particle-Laden Thin Films. SIAM J. Appl. Math. 74(2): 322-344 (2014) - [c20]Huiyi Hu, Justin Sunu, Andrea L. Bertozzi:
Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme. EMMCVPR 2014: 209-222 - [c19]Ekaterina Merkurjev, Justin Sunu, Andrea L. Bertozzi:
Graph MBO method for multiclass segmentation of hyperspectral stand-off detection video. ICIP 2014: 689-693 - [c18]Guillaume Tochon, Jocelyn Chanussot, Jérôme Gilles, Mauro Dalla Mura, Jen-Mei Chang, Andrea L. Bertozzi:
Gas plume detection and tracking in hyperspectral video sequences using Binary Partition Trees. WHISPERS 2014: 1-4 - 2013
- [j31]Tijana Kostic, Andrea L. Bertozzi:
Statistical Density Estimation Using Threshold Dynamics for Geometric Motion. J. Sci. Comput. 54(2-3): 513-530 (2013) - [j30]Rachel A. Hegemann, Erik A. Lewis, Andrea L. Bertozzi:
An "Estimate & Score Algorithm" for simultaneous parameter estimation and reconstruction of incomplete data on social networks. Secur. Informatics 2(1): 1 (2013) - [j29]Yves van Gennip, Blake Hunter, Raymond Ahn, Peter Elliott, Kyle Luh, Megan Halvorson, Shannon Reid, Matthew Valasik, James Wo, George E. Tita, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Community Detection Using Spectral Clustering on Sparse Geosocial Data. SIAM J. Appl. Math. 73(1): 67-83 (2013) - [j28]Huiyi Hu, Thomas Laurent, Mason A. Porter, Andrea L. Bertozzi:
A Method Based on Total Variation for Network Modularity Optimization Using the MBO Scheme. SIAM J. Appl. Math. 73(6): 2224-2246 (2013) - [j27]Julia A. Dobrosotskaya, Andrea L. Bertozzi:
Analysis of the Wavelet Ginzburg-Landau Energy in Image Applications with Edges. SIAM J. Imaging Sci. 6(1): 698-729 (2013) - [j26]