Andrea L. Bertozzi

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 116

Top Venues

CoRR

IEEE BigData

IEEE Trans. Geosci. Remote. Sens.

SIAM J. Appl. Math.

Publications

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)
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)
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 (2024)
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 (2024)
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) (2023)
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)
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 (2023)
Dominic Yang, Yurun Ge, Thien Nguyen, Jacob D. Moorman, Denali Molitor, Andrea L. Bertozzi
Structural Equivalence in Subgraph Matching. CoRR (2023)
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 (2023)
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. BigData (2023)
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 (2023)
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)
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. BigData (2023)
Bohan Chen, Yifei Lou, Andrea L. Bertozzi, Jocelyn Chanussot
Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi
Active Learning of non-Semantic Speech Tasks with Pretrained models. ICASSP (2023)
Bohan Chen, Andrea L. Bertozzi
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. BigData (2023)
Bohan Chen, Andrea L. Bertozzi
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. CoRR (2023)
Bohan Chen, Kevin Miller, Andrea L. Bertozzi, Jon Schwenk
Graph-Based Active Learning for Surface Water and Sediment Detection in Multispectral Images. IGARSS (2023)
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) (2022)
Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher
Neural ODE Control for Trajectory Approximation of Continuity Equation. CoRR (2022)
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) (2022)
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. Big Data (2022)
Karthik Elamvazhuthi, Bahman Gharesifard, Andrea L. Bertozzi, Stanley J. Osher
Neural ODE Control for Trajectory Approximation of Continuity Equation. IEEE Control. Syst. Lett. 6 (2022)
Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi
Active Learning of Non-semantic Speech Tasks with Pretrained Models. CoRR (2022)
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)
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. Big Data (2022)
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) (2022)
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 (2022)
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) (2022)
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 (2022)
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)
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) (2021)
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) (2021)
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)
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) (2021)
Yurun Ge, Andrea L. Bertozzi
Active Learning for the Subgraph Matching Problem. IEEE BigData (2021)
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 (2021)
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 (2021)
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 (2021)
Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. CoRR (2021)
Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
Heavy Ball Neural Ordinary Differential Equations. CoRR (2021)
Kevin Miller, Andrea L. Bertozzi
Model-Change Active Learning in Graph-Based Semi-Supervised Learning. CoRR (2021)
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) (2021)
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)
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) (2020)
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 (2020)
Christian Parkinson, Andrea L. Bertozzi, Stanley J. Osher
A Hamilton-Jacobi Formulation for Time-Optimal Paths of Rectangular Nonholonomic Vehicles. CDC (2020)
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)
Thomas K. Tu, Jacob D. Moorman, Dominic Yang, Qinyi Chen, Andrea L. Bertozzi
Inexact Attributed Subgraph Matching. IEEE BigData (2020)
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)
Zachary M. Boyd, Mason A. Porter, Andrea L. Bertozzi
Stochastic Block Models are a Discrete Surface Tension. J. Nonlinear Sci. 30 (5) (2020)
Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. CoRR (2020)
Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto
Zero Shot Learning with the Isoperimetric Loss. AAAI (2020)
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)
Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. NeurIPS (2020)
Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. ICLR (2020)
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) (2020)
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)
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 (2020)
Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, Andrew M. Stuart
Posterior Consistency of Semi-Supervised Regression on Graphs. CoRR (2020)
Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. CoRR (2020)
Kevin Miller, Hao Li, Andrea L. Bertozzi
Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations. CoRR (2020)
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)
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)
Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, Andrea L. Bertozzi
Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. WHISPERS (2019)
Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto
Zero Shot Learning with the Isoperimetric Loss. CoRR (2019)
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)
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 (2019)
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)
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) (2019)
Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi
Quantifying Robotic Swarm Coverage. CoRR (2019)
Hui Jin, Xie He, Yanghui Wang, Hao Li, Andrea L. Bertozzi
Noisy Subgraph Isomorphisms on Multiplex Networks. IEEE BigData (2019)
Omri Azencot, Wotao Yin, Andrea L. Bertozzi
Consistent Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 18 (3) (2019)
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) (2019)
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) (2019)
Thien Nguyen, Dominic Yang, Yurun Ge, Hao Li, Andrea L. Bertozzi
Applications of Structural Equivalence to Subgraph Isomorphism on Multichannel Multigraphs. IEEE BigData (2019)
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) (2018)
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)
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 (2018)
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 (2018)
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)
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)
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)
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 (2018)
Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter
Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction. CoRR (2018)
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)
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)
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 (2018)
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) (2018)
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)
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) (2018)
Zachary M. Boyd, Mason A. Porter, Andrea L. Bertozzi
Stochastic Block Models are a Discrete Surface Tension. CoRR (2018)
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) (2018)
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) (2018)
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)
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) (2017)
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)
Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
Unsupervised record matching with noisy and incomplete data. CoRR (2017)
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 (2017)
Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
Uncertainty Quantification in the Classification of High Dimensional Data. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrea L. Bertozzi