Anuj Karpatne

发表

Incorporating Prior Domain Knowledge into Deep Neural Networks

Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes

Anuj Karpatne, Vipin Kumar, Ankush Khandelwal, 2015, SDM.

Spatio-Temporal Data Mining

Anuj Karpatne, Vipin Kumar, Gowtham Atluri, 2017, ACM Comput. Surv..

Intelligent Systems for Geosciences: Accelerating Discovery and Building Community I: Lightning

Anuj Karpatne, Daniel Garijo, Michael J. Friedel, 2017 .

Importance of vegetation type in forest cover estimation

Michael Lau, Anuj Karpatne, Vipin Kumar, 2012, 2012 Conference on Intelligent Data Understanding.

Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics pdf

Anuj Karpatne, Wei-Cheng Lee, Jie Bu, 2020, ArXiv.

Predictive Learning with Heterogeneity in Populations

Anuj Karpatne, 2017 .

CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

Anuj Karpatne, Wei-Cheng Lee, Jie Bu, 2020, ACM Trans. Intell. Syst. Technol..

Proximal support tensor machines

Anuj Karpatne, Reshma Khemchandani, Suresh Chandra, 2013, Int. J. Mach. Learn. Cybern..

PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly

Nikhil Muralidhar, Anuj Karpatne, Danesh K. Tafti, 2020, SDM.

Tripoles: A New Class of Relationships in Time Series Data

Anuj Karpatne, Vipin Kumar, Snigdhansu Chatterjee, 2017, KDD.

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles pdf

Anuj Karpatne, Xiaowei Jia, Vipin Kumar, 2020, Trans. Data Sci..

Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities

Xi Chen, Anuj Karpatne, Vipin Kumar, 2016, Computational Sustainability.

Building Bridges Between Geoscience and Data Science through Benchmark Data Sets

Mary C. Hill, Anuj Karpatne, Imme Ebert-Uphoff, 2017 .

GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization pdf

Anuj Karpatne, Abhijit Sarkar, Ioannis Papakis, 2020, ArXiv.

Discovery of Shifting Patterns in Sequence Classification pdf

Anuj Karpatne, Vipin Kumar, Xiaowei Jia, 2017, ArXiv.

Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection

Anuj Karpatne, Vipin Kumar, Xiaowei Jia, 2019, SDM.

Big Data in Climate: Opportunities and Challenges for Machine Learning

Anuj Karpatne, Vipin Kumar, A. Karpatne, 2017, KDD.

Machine Learning for the Geosciences: Challenges and Opportunities

Anuj Karpatne, Vipin Kumar, Imme Ebert-Uphoff, 2017, IEEE Transactions on Knowledge and Data Engineering.

Twin support vector regression for the simultaneous learning of a function and its derivatives

Anuj Karpatne, Reshma Khemchandani, Suresh Chandra, 2013, Int. J. Mach. Learn. Cybern..

Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics

Anuj Karpatne, Vipin Kumar, A. Karpatne, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

A Guide to Earth Science Data: Summary and Research Challenges

Anuj Karpatne, Stefan Liess, 2015, Computing in Science & Engineering.

Monitoring Land-Cover Changes: A Machine-Learning Perspective

Zhe Jiang, Anuj Karpatne, Vipin Kumar, 2016, IEEE Geoscience and Remote Sensing Magazine.

ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring pdf

Anuj Karpatne, Vipin Kumar, Ankush Khandelwal, 2017, ArXiv.

Tutorial on Machine Learning and Deep Learning for the Environmental and Geosciences

Karthik Kashinath, Prabhat, Anuj Karpatne, 2019 .

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series pdf

Anuj Karpatne, Vipin Kumar, Snigdhansu Chatterjee, 2019, ArXiv.

Introduction to Data Mining (2nd Edition)

Anuj Karpatne, Pang-Ning Tan, Michael Steinbach, 2018 .

Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands

Anuj Karpatne, Vipin Kumar, Yifan Hu, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Emerging Data Science and Machine Learning Opportunities in the Weather and Climate Sciences

Karthik Kashinath, Anuj Karpatne, Kevin A. Reed, 2018 .

A Guide to Climate Datasets: Summary and Research Challenges

Anuj Karpatne, James H. Faghmous, Vipin Kumar, 2015 .

Augmenting machine learning algorithms with the addition of a physics based intelligence prior

Anuj Karpatne, Wei-Cheng Lee, Jie Bu, 2020 .

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

Anuj Karpatne, Vipin Kumar, Michael S. Steinbach, 2018, SDM.

BHPMF – a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography

Anuj Karpatne, Markus Reichstein, Sandra Lavorel, 2015 .

Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems

Nikhil Muralidhar, Anuj Karpatne, Naren Ramakrishnan, 2020, Big Data.

A new data mining framework for forest fire mapping

Michael Lau, Vipin Kumar, Anuj Karpatne, 2012, 2012 Conference on Intelligent Data Understanding.

Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids pdf

Nikhil Muralidhar, Anuj Karpatne, Long He, 2019, ArXiv.

Mining Sub-Interval Relationships In Time Series Data pdf

Anuj Karpatne, Vipin Kumar, Snigdhansu Chatterjee, 2018, ArXiv.

Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application

Anuj Karpatne, Vipin Kumar, Xi C. Chen, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

Nagiza F. Samatova, Shashi Shekhar, Anuj Karpatne, 2016, IEEE Transactions on Knowledge and Data Engineering.

Earth Science Applications of Sensor Data

Anuj Karpatne, Vipin Kumar, Michael S. Steinbach, 2013, Managing and Mining Sensor Data.

Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances

Anuj Karpatne, Vipin Kumar, A. Karpatne, 2015, 2015 IEEE International Conference on Data Mining.

Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs

Anuj Karpatne, Jie Bu, 2021 .

Automated Plantation Mapping in Indonesia Using Remote Sensing Data

Anuj Karpatne, Vipin Kumar, Xiaowei Jia, 2017 .

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling pdf

Anuj Karpatne, Vipin Kumar, Jordan S. Read, 2017, ArXiv.

Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling pdf

Anuj Karpatne, Jordan S. Read, Alison P. Appling, 2019, SDM.

Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring

Anuj Karpatne, Vipin Kumar, Xiaowei Jia, 2019, IJCAI.

Predictive Learning in the Presence of Heterogeneity and Limited Training Data

Anuj Karpatne, Vipin Kumar, Ankush Khandelwal, 2014, SDM.

Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection

Anuj Karpatne, Xiaowei Jia, Ankush Khandelwal, 2019, SDM.

Welcome to AI matters 5(4)

Anuj Karpatne, Iolanda Leite, Amy McGovern, 2019, AI Matters.

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes pdf

Anuj Karpatne, Vipin Kumar, Michael S. Steinbach, 2018, ArXiv.

Generalized eigenvalue proximal support vector regressor

Anuj Karpatne, Reshma Khemchandani, Suresh Chandra, 2011, Expert Syst. Appl..

Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach pdf

Anuj Karpatne, M. Maruf, A. Karpatne, 2020, SDM.

Welcome to AI Matters 7(1)

Anuj Karpatne, Iolanda Leite, 2021, AI Matters.

Physics-Guided AI for Large-Scale Spatiotemporal Data

Anuj Karpatne, Paris Perdikaris, Rose Yu, 2021, KDD.

Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs

Anuj Karpatne, Jie Bu, A. Karpatne, 2021, SDM.

Welcome to AI Matters 7(2)

Anuj Karpatne, Iolanda Leite, A. Karpatne, 2021, AI Matters.

PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics

Anuj Karpatne, Arka Daw, M. Maruf, 2021, KDD.

Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems

Anuj Karpatne, Jie Bu, Mohannad Elhamod, 2021, AAAI Spring Symposium: MLPS.

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) pdf

Anuj Karpatne, Jie Bu, Arka Daw, 2021, NeurIPS.

Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation pdf

Adrian Sandu, Anuj Karpatne, Andrey A. Popov, 2021, ArXiv.

A Graph Convolutional Neural Network Based Approach for Traffic Monitoring Using Augmented Detections with Optical Flow

Anuj Karpatne, Abhijit Sarkar, Ioannis Papakis, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning pdf

Anuj Karpatne, Reza Sepasdar, Maryam Shakiba, 2021, ArXiv.

Process‐Guided Deep Learning Predictions of Lake Water Temperature

Anuj Karpatne, Xiaowei Jia, Jordan S. Read, 2019, Water Resources Research.