| Automated, Scalable and Generalizable Deep Learning for Tracking Cortical Spreading Depression Using EEG | 0 | 0.34 | 2021 |
| UNSUPERVISED CLUSTERING OF TIME SERIES SIGNALS USING NEUROMORPHIC ENERGY-EFFICIENT TEMPORAL NEURAL NETWORKS | 0 | 0.34 | 2021 |
| Evaluating and Aggregating Feature-based Model Explanations | 0 | 0.34 | 2020 |
| Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors] | 1 | 0.35 | 2020 |
| Building Human-Machine Trust via Interpretability | 0 | 0.34 | 2019 |
| Distributed Global Optimization by Annealing | 2 | 0.39 | 2019 |
| Secure Analytics And Resilient Inference For The Internet Of Things | 0 | 0.34 | 2019 |
| Optimal Filter Design for Signal Processing on Random Graphs: Accelerated Consensus. | 0 | 0.34 | 2018 |
| Resilient Distributed Estimation: Exponential Convergence Under Sensor Attacks | 1 | 0.35 | 2018 |
| Adversarial Multiple Source Domain Adaptation. | 6 | 0.40 | 2018 |
| EigenNetworks. | 0 | 0.34 | 2018 |
| Convergence Analysis of Belief Propagation on Gaussian Graphical Models. | 0 | 0.34 | 2018 |
| Distributed Localization: A Linear Theory. | 8 | 0.41 | 2018 |
| Geodesic distance on a Grassmannian for monitoring the progression of Alzheimer's disease. | 1 | 0.48 | 2017 |
| Consensus+Innovations Distributed Kalman Filter with Optimized Gains. | 8 | 0.45 | 2017 |
| Signal Processing on Graphs: Causal Modeling of Unstructured Data. | 20 | 0.76 | 2017 |
| Convergence Analysis of Belief Propagation for Pairwise Linear Gaussian Models. | 5 | 0.44 | 2017 |
| Agile Inexact Methods for Spectral Projector-Based Graph Fourier Transforms. | 2 | 0.37 | 2017 |
| Big Data Computation Of Taxi Movement In New York City | 5 | 0.46 | 2016 |
| Signal processing on graphs: Performance of graph structure estimation. | 1 | 0.37 | 2016 |
| Individual Vs. Network Preferences | 0 | 0.34 | 2015 |
| Bi-Virus SIS Epidemics over Networks: Qualitative Analysis | 3 | 0.41 | 2015 |
| Distributed inference over directed networks: Performance limits and optimal design. | 0 | 0.34 | 2015 |
| Traffic flow from a low frame rate city camera. | 2 | 0.39 | 2015 |
| Subgraph density and epidemics over networks | 1 | 0.38 | 2014 |
| Finite-time distributed consensus through graph filters | 23 | 1.05 | 2014 |
| Big Data + Big Cities: Graph Signals of Urban Air Pollution [Exploratory SP] | 6 | 0.46 | 2014 |
| Churn detection in large user networks | 0 | 0.34 | 2014 |
| Distributed parameter estimation with exponential family statistics: Asymptotic efficiency | 0 | 0.34 | 2014 |
| Classification via regularization on graphs. | 15 | 0.80 | 2013 |
| Identifying small subsets of agents for behavior tracking and abnormal event detection in dynamic networks | 2 | 0.45 | 2013 |
| Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability | 7 | 0.58 | 2013 |
| Distributed Kalman filtering and Network Tracking Capacity | 2 | 0.42 | 2013 |
| Discrete signal processing on graphs: Graph fourier transform | 12 | 1.10 | 2013 |
| Distributed State Estimation In Multi-Agent Networks | 8 | 0.59 | 2013 |
| Moderate Deviations of a Random Riccati Equation. | 3 | 0.42 | 2012 |
| Distributed field reconstruction with model-robust basis pursuit | 3 | 0.39 | 2012 |
| Discrete Signal Processing on Graphs | 270 | 9.98 | 2012 |
| Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs | 91 | 3.57 | 2011 |
| Emergent behavior in large scale networks | 8 | 1.29 | 2011 |
| Approximating Image Filters With Box Filters | 4 | 0.50 | 2011 |
| Distributed Detection Over Noisy Networks: Large Deviations Analysis | 25 | 1.16 | 2011 |
| Convergence results in distributed Kalman filtering | 2 | 0.41 | 2011 |
| A telescoping approach to recursive enhancement of noisy images | 2 | 0.73 | 2010 |
| Single antenna time reversal detection of moving target | 5 | 0.53 | 2010 |
| Higher Dimensional Consensus: Learning in Large-Scale Networks | 23 | 1.35 | 2010 |
| Designing The Parameters Of High Dimensional Consensus: Multi-Objective Optimization And Pareto-Optimality | 0 | 0.34 | 2010 |
| Distributed Detection Via Gaussian Running Consensus: Large Deviations Asymptotic Analysis | 2 | 0.41 | 2010 |
| Gossip and Distributed Kalman Filtering: Weak Consensus Under Weak Detectability | 13 | 0.77 | 2010 |
| Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures | 146 | 5.39 | 2010 |
