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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
- 2025
[j70]Yurun Ge
, Dominic Yang, Andrea L. Bertozzi:
Iterative active learning strategies for subgraph matching. Pattern Recognit. 158: 110797 (2025)- 2024
- [j69]Bohyun Kim, Hangjie Ji, Andrea L. Bertozzi, Abolfazl Sadeghpour, Y. Sungtaek Ju:
A positivity-preserving numerical method for a thin liquid film on a vertical cylindrical fiber. J. Comput. Phys. 496: 112560 (2024) - [c66]Shih-Hsin Wang, Yung-Chang Hsu, Justin M. Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang:
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. ICLR 2024 - [c65]Jason Brown, Alyssa Arnheim, Andrea L. Bertozzi, Dino D. Carlo:
Detection and Segmentation Of Shape-Coded Particles Via Hough Transforms and Snake Active Contours. SSIAI 2024: 85-88 - [i41]Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher:
A Primal-Dual Framework for Transformers and Neural Networks. CoRR abs/2406.13781 (2024) - 2023
- [j68]Bohan Chen, Yifei Lou, Andrea L. Bertozzi, Jocelyn Chanussot:
Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j67]Dominic Yang, Yurun Ge, Thien Nguyen, Denali Molitor, Jacob D. Moorman, Andrea L. Bertozzi:
Structural Equivalence in Subgraph Matching. IEEE Trans. Netw. Sci. Eng. 10(4): 1846-1862 (2023) - [c64]Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal:
Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. IEEE Big Data 2023: 3107-3116 - [c63]Bohan Chen, Andrea L. Bertozzi:
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. IEEE Big Data 2023: 3117-3126 - [c62]Haoran Jia, Haoyu Li, Xinyue Li, Xiaoxian Shen, Yichen Wang, Zichun Liao, Andrea L. Bertozzi, P. Jeffrey Brantingham, Jona Lelmi:
Intentional Youth Development Activities and Peer Effects in a Gang Prevention Program. IEEE Big Data 2023: 4166-4175 - [c61]Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi:
Active Learning of non-Semantic Speech Tasks with Pretrained models. ICASSP 2023: 1-5 - [c60]Tan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher:
A Primal-Dual Framework for Transformers and Neural Networks. ICLR 2023 - [c59]Bohan Chen, Kevin Miller, Andrea L. Bertozzi, Jon Schwenk:
Graph-Based Active Learning for Surface Water and Sediment Detection in Multispectral Images. IGARSS 2023: 5431-5434 - [c58]Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Adrien Weihs, Andrea L. Bertozzi, Jocelyn Chanussot:
Material Identification in Complex Environments: Neural Network Approaches to Hyperspectral Image Analysis. WHISPERS 2023: 1-5 - [i40]Dominic Yang, Yurun Ge, Thien Nguyen, Jacob D. Moorman, Denali Molitor, Andrea L. Bertozzi:
Structural Equivalence in Subgraph Matching. CoRR abs/2301.03161 (2023) - [i39]James Chapman, Bohan Chen, Zheng Tan, Jeff Calder, Kevin Miller, Andrea L. Bertozzi:
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets. CoRR abs/2307.10495 (2023) - [i38]Bohyun Kim, Hangjie Ji, Andrea L. Bertozzi, Abolfazl Sadeghpour, Y. Sungtaek Ju:
A positivity-preserving numerical method for a thin liquid film on a vertical cylindrical fiber. CoRR abs/2310.10977 (2023) - [i37]Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal:
Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. CoRR abs/2311.11163 (2023) - [i36]Bohan Chen, Andrea L. Bertozzi:
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. CoRR abs/2311.14740 (2023) - 2022
- [j66]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) - [j65]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) - [j64]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) - [j63]Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang:
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. SIAM J. Appl. Math. 82(4): 1558-1586 (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) - [c57]Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Knowledge Graphs of the QAnon Twitter Network. IEEE Big Data 2022: 2903-2912 - [c56]Marc Andrew Choi, Siyu Huang, Hengyuan Qi, Marco Scialanga, Emerson McMullen, Axel Sanchez Moreno, Yifei Lou, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth. IEEE Big Data 2022: 4664-4673 - [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 M. 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 J. Lafata, Yvonne M. 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]Ekaterina Merkurjev, Tijana Kostic, Andrea L. Bertozzi:
An MBO Scheme on Graphs for Classification and Image Processing. SIAM J. Imaging Sci. 6(4): 1903-1930 (2013) - [i3]Huiyi Hu, Thomas Laurent, Mason A. Porter, Andrea L. Bertozzi:
A Method Based on Total Variation for Network Modularity Optimization using the MBO Scheme. CoRR abs/1304.4679 (2013) - 2012
- [j25]Yanghong Huang, Thomas P. Witelski, Andrea L. Bertozzi:
Anomalous exponents of self-similar blow-up solutions to an aggregation equation in odd dimensions. Appl. Math. Lett. 25(12): 2317-2321 (2012) - [j24]Andrea L. Bertozzi, Arjuna Flenner:
Diffuse Interface Models on Graphs for Classification of High Dimensional Data. Multiscale Model. Simul. 10(3): 1090-1118 (2012) - [j23]Hui Sun, David Uminsky, Andrea L. Bertozzi:
A Generalized Birkhoff-Rott Equation for Two-dimensional Active Scalar Problems. SIAM J. Appl. Math. 72(1): 382-404 (2012) - [j22]Michael Möller, Todd Wittman, Andrea L. Bertozzi, Martin Burger:
A Variational Approach for Sharpening High Dimensional Images. SIAM J. Imaging Sci. 5(1): 150-178 (2012) - [j21]Andrea L. Bertozzi, John B. Garnett, Thomas Laurent:
Characterization of Radially Symmetric Finite Time Blowup in Multidimensional Aggregation Equations. SIAM J. Math. Anal. 44(2): 651-681 (2012) - [c17]Matthew Keeter, Daniel Moore, Ryan Muller, Eric Nieters, Jennifer Flenner, Susan E. Martonosi, Andrea L. Bertozzi, Allon G. Percus, Rachel Levy:
Cooperative search with autonomous vehicles in a 3D aquatic testbed. ACC 2012: 3154-3160 - [c16]Jérôme Gilles, Balaji R. Sharma, Will Ferenc, Hannah Kastein, Lauren Lieu, Ryan Wilson, Yuan Rick Huang, Andrea L. Bertozzi, Baisravan Homchaudhuri, Subramanian Ramakrishnan, Manish Kumar:
Robot swarming over the Internet. ACC 2012: 6065-6070 - [c15]Huiyi Hu, Yves van Gennip, Blake Hunter, Andrea L. Bertozzi, Mason A. Porter:
Multislice Modularity Optimization in Community Detection and Image Segmentation. ICDM Workshops 2012: 934-936 - [i2]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. CoRR abs/1206.4969 (2012) - [i1]Huiyi Hu, Yves van Gennip, Blake Hunter, Mason A. Porter, Andrea L. Bertozzi:
Multislice Modularity Optimization in Community Detection and Image Segmentation. CoRR abs/1211.7180 (2012) - 2011
- [j20]Matthew R. Mata, Andrea L. Bertozzi:
A numerical scheme for particle-laden thin film flow in two dimensions. J. Comput. Phys. 230(16): 6334-6353 (2011) - [j19]Yifei Lou, Andrea L. Bertozzi, Stefano Soatto:
Direct Sparse Deblurring. J. Math. Imaging Vis. 39(1): 1-12 (2011) - [j18]Wenhua Gao, Andrea L. Bertozzi:
Level Set Based Multispectral Segmentation with Corners. SIAM J. Imaging Sci. 4(2): 597-617 (2011) - [c14]Maximillian Gonzalez, Xinheng Huang, David S. Hermina Martinez, Chung H. Hsieh, Yuan R. Huang, Benjamin Irvine, Martin B. Short, Andrea L. Bertozzi:
A Third Generation Micro-vehicle Testbed for Cooperative Control and Sensing Strategies. ICINCO (2) 2011: 14-20 - 2010
- [j17]Laura M. Smith, Matthew S. Keegan, Todd Wittman, George O. Mohler, Andrea L. Bertozzi:
Improving Density Estimation by Incorporating Spatial Information. EURASIP J. Adv. Signal Process. 2010 (2010) - [j16]Yifei Lou, Xiaoqun Zhang, Stanley J. Osher, Andrea L. Bertozzi:
Image Recovery via Nonlocal Operators. J. Sci. Comput. 42(2): 185-197 (2010) - [j15]Martin B. Short, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Nonlinear Patterns in Urban Crime: Hotspots, Bifurcations, and Suppression. SIAM J. Appl. Dyn. Syst. 9(2): 462-483 (2010) - [j14]Yanghong Huang, Andrea L. Bertozzi:
Self-Similar Blowup Solutions to an Aggregation Equation in Rn. SIAM J. Appl. Math. 70(7): 2582-2603 (2010) - [j13]Marc Droske, Andrea L. Bertozzi:
Higher-Order Feature-Preserving Geometric Regularization. SIAM J. Imaging Sci. 3(1): 21-51 (2010) - [c13]Wangyi Liu, Yasser E. Taima, Martin B. Short, Andrea L. Bertozzi:
Multi-scale Collaborative Searching through Swarming. ICINCO (2) 2010: 222-231
2000 – 2009
- 2009
- [c12]Abhijeet Joshi, Trevor T. Ashley, Yuan R. Huang, Andrea L. Bertozzi:
Experimental validation of cooperative environmental boundary tracking with on-board sensors. ACC 2009: 2630-2635 - [c11]Yifei Lou, Paolo Favaro, Stefano Soatto, Andrea L. Bertozzi:
Nonlocal Similarity Image Filtering. ICIAP 2009: 62-71 - 2008
- [j12]Benjamin P. Cook, Andrea L. Bertozzi, A. E. Hosoi:
Shock Solutions for Particle-Laden Thin Films. SIAM J. Appl. Math. 68(3): 760-783 (2008) - [j11]Julia A. Dobrosotskaya, Andrea L. Bertozzi:
A Wavelet-Laplace Variational Technique for Image Deconvolution and Inpainting. IEEE Trans. Image Process. 17(5): 657-663 (2008) - [c10]Wen Yang, Andrea L. Bertozzi, Xiaofan Wang:
Stability of a second order consensus algorithm with time delay. CDC 2008: 2926-2931 - 2007
- [j10]Andrea L. Bertozzi, Selim Esedoglu, Alan Gillette:
Analysis of a Two-Scale Cahn-Hilliard Model for Binary Image Inpainting. Multiscale Model. Simul. 6(3): 913-936 (2007) - [j9]Andrea L. Bertozzi, Selim Esedoglu, Alan Gillette:
Inpainting of Binary Images Using the Cahn-Hilliard Equation. IEEE Trans. Image Process. 16(1): 285-291 (2007) - [c9]Kevin K. Leung, Chung H. Hsieh, Yuan R. Huang, Abhijeet Joshi, Vlad Voroninski, Andrea L. Bertozzi:
A second generation micro-vehicle testbed for cooperative control and sensing strategies. ACC 2007: 1900-1907 - [c8]Yanina Landa, David Galkowski, Yuan R. Huang, Abhijeet Joshi, Christine Lee, Kevin K. Leung, Gitendra Malla, Jennifer Treanor, Vlad Voroninski, Andrea L. Bertozzi, Yen-Hsi Richard Tsai:
Robotic Path Planning and Visibility with Limited Sensor Data. ACC 2007: 5425-5430 - [c7]Zhipu Jin, Andrea L. Bertozzi:
Environmental boundary tracking and estimation using multiple autonomous vehicles. CDC 2007: 4918-4923 - [c6]Yifei Lou, Paolo Favaro, Andrea L. Bertozzi, Stefano Soatto:
Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. CVPR 2007 - [c5]Yao-Li Chuang, Yuan R. Huang, Maria R. D'Orsogna, Andrea L. Bertozzi:
Multi-Vehicle Flocking: Scalability of Cooperative Control Algorithms using Pairwise Potentials. ICRA 2007: 2292-2299 - 2006
- [j8]John B. Greer, Andrea L. Bertozzi, Guillermo Sapiro:
Fourth order partial differential equations on general geometries. J. Comput. Phys. 216(1): 216-246 (2006) - [c4]Chung H. Hsieh, Yao-Li Chuang, Yuan R. Huang, Kevin K. Leung, Andrea L. Bertozzi, Emilio Frazzoli:
An economical micro-car testbed for validation of cooperative control strategies. ACC 2006 - 2005
- [c3]Chung H. Hsieh, Zhipu Jin, Daniel E. Marthaler, Bao Q. Nguyen, David J. Tung, Andrea L. Bertozzi, Richard M. Murray:
Experimental validation of an algorithm for cooperative boundary tracking. ACC 2005: 1078-1083vol.2 - [c2]Bao Q. Nguyen, Yao-Ling Chuang, David Tung, Chung H. Hsieh, Zhipu Jin, Ling Shi, Daniel E. Marthaler, Andrea L. Bertozzi, Richard M. Murray:
Virtual attractive-repulsive potentials for cooperative control of second order dynamic vehicles on the Caltech MVWT. ACC 2005: 1084-1089vol.2 - 2004
- [j7]Chad M. Topaz, Andrea L. Bertozzi:
Swarming Patterns in a Two-Dimensional Kinematic Model for Biological Groups. SIAM J. Appl. Math. 65(1): 152-174 (2004) - [j6]John B. Greer, Andrea L. Bertozzi:
Traveling Wave Solutions of Fourth Order PDEs for Image Processing. SIAM J. Math. Anal. 36(1): 38-68 (2004) - 2003
- [j5]Andrea L. Bertozzi, Michael Shearer, Robert Buckingham:
Thin Film Traveling Waves and the Navier Slip Condition. SIAM J. Appl. Math. 63(2): 722-744 (2003) - 2001
- [c1]Marcelo Bertalmío, Andrea L. Bertozzi, Guillermo Sapiro:
Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting. CVPR (1) 2001: 355-362 - 2000
- [j4]Andrea L. Bertozzi, Michael Shearer:
Existence of Undercompressive Traveling Waves in Thin Film Equations. SIAM J. Math. Anal. 32(1): 194-213 (2000)
1990 – 1999
- 1999
- [j3]L. Zhornitskaya, Andrea L. Bertozzi:
Positivity-Preserving Numerical Schemes for Lubrication-Type Equations. SIAM J. Numer. Anal. 37(2): 523-555 (1999) - 1996
- [j2]Andrea L. Bertozzi:
Symmetric Singularity Formation in Lubrication-Type Equations for Interface Motion. SIAM J. Appl. Math. 56(3): 681-714 (1996) - 1993
- [j1]Andrea L. Bertozzi, James McKenna:
Multidimensional Residues, Generating Functions, and Their Application to Queueing Networks. SIAM Rev. 35(2): 239-268 (1993)
Coauthor Index
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