| A Dynamically Stabilized Recurrent Neural Network | 0 | 0.34 | 2022 |
| Sequential hypothesis tests for streaming data via symbolic time-series analysis | 0 | 0.34 | 2019 |
| A Locally Optimal Algorithm for Estimating a Generating Partition from an Observed Time Series and Its Application to Anomaly Detection. | 0 | 0.34 | 2018 |
| Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification. | 0 | 0.34 | 2018 |
| Learning From Multiple Imperfect Instructors in Sensor Networks. | 0 | 0.34 | 2018 |
| Symbolic analysis-based reduced order Markov modeling of time series data. | 1 | 0.40 | 2018 |
| Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data. | 2 | 0.37 | 2018 |
| Bayesian Nonparametric Modeling Of Markov Chains For Detection Of Thermoacoustic Instabilities | 0 | 0.34 | 2017 |
| Information Fusion of Passive Sensors for Detection of Moving Targets in Dynamic Environments. | 8 | 0.48 | 2017 |
| Principles of Riemannian Geometry in Neural Networks. | 2 | 0.42 | 2017 |
| Real-time identification of state-of-charge in battery systems: Dynamic data-driven estimation with limited window length. | 0 | 0.34 | 2016 |
| Path Planning In Gps-Denied Environments Via Collective Intelligence Of Distributed Sensor Networks | 1 | 0.63 | 2016 |
| Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic: A Statistical Mechanics-Inspired Method | 1 | 0.38 | 2015 |
| Real-time activity recognition from seismic signature via multi-scale symbolic time series analysis (MSTSA) | 1 | 0.35 | 2015 |
| Path planning in GPS-denied environments: A collective intelligence approach | 2 | 0.38 | 2015 |
| Identification of battery parameters via symbolic input-output analysis: A dynamic data-driven approach | 0 | 0.34 | 2015 |
| Multimodal Task-Driven Dictionary Learning for Image Classification. | 49 | 1.15 | 2015 |
| Feature level sensor fusion for target detection in dynamic environments | 2 | 0.37 | 2015 |
| Alphabet size selection for symbolization of dynamic data-driven systems: An information-theoretic approach | 2 | 0.39 | 2015 |
| Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion | 1 | 0.45 | 2014 |
| Performance robustness of feature extraction for target detection & classification | 2 | 0.38 | 2014 |
| Dynamic context-aware sensor selection for sequential hypothesis testing | 2 | 0.40 | 2014 |
| Target detection and target type & motion classification: Comparison of feature extraction algorithms | 0 | 0.34 | 2014 |
| Navigation Of Autonomous Vehicles For Oil Spill Cleaning In Dynamic And Uncertain Environments | 7 | 0.55 | 2014 |
| Quality-Based Multimodal Classification Using Tree-Structured Sparsity | 13 | 0.58 | 2014 |
| Dynamic Data Driven Sensor Array Fusion For Target Detection And Classification | 6 | 0.52 | 2013 |
| Anomaly detection in flight recorder data: A dynamic data-driven approach | 3 | 0.48 | 2013 |
| Designing A Fusion-Driven Sensor Network To Selectively Track Mobile Targets | 0 | 0.34 | 2012 |
| Symbolic Dynamic Filtering and Language Measure for Behavior Identification of Mobile Robots | 12 | 0.77 | 2012 |
| Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks | 3 | 0.43 | 2012 |
| A unified framework for supervised learning of semantic models | 0 | 0.34 | 2012 |
| Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines | 1 | 0.37 | 2012 |
| Optimization of symbolic feature extraction for pattern classification | 6 | 0.52 | 2012 |
| GODDeS: Globally ∈-Optimal Routing Via Distributed Decision-theoretic Self-organization. | 1 | 0.36 | 2011 |
| Real-time adaptation of decision thresholds in sensor networks for detection of moving targets | 5 | 0.50 | 2011 |
| Multimodal sensor fusion for personnel detection | 5 | 0.76 | 2011 |
| Symbolic encoding of analytic signals for structural monitoring of power systems | 0 | 0.34 | 2011 |
| Modeling of symbolic systems: Part II - Hilbert space construction for model identification and order reduction | 3 | 0.52 | 2011 |
| Modeling of symbolic systems: Part I - Vector space representation of probabilistic finite state automata | 2 | 0.42 | 2011 |
| Symbolic Identification For Anomaly Detection In Aircraft Gas Turbine Engines | 0 | 0.34 | 2010 |
| Symbolic dynamics of wavelet images for pattern identification | 0 | 0.34 | 2010 |
| Tracking Mobile Targets Using Wireless Sensor Networks | 0 | 0.34 | 2010 |
| Symbolic dynamic filtering for image analysis: theory and experimental validation | 0 | 0.34 | 2010 |
| Statistical mechanics-inspired optimization for sensor field reconfiguration | 0 | 0.34 | 2010 |
| Symbolic identification of dynamical systems: Theory and experimental validation | 0 | 0.34 | 2010 |
| A stopping rule for symbolic dynamic filtering | 2 | 0.48 | 2010 |
| Analytic signal space partitioning and symbolic dynamic filtering for degradation monitoring of electric motors | 3 | 0.45 | 2010 |
| Distributed decision propagation in mobile agent networks | 0 | 0.34 | 2010 |
| A decision-theoretic model of selection modulated intra-host antigenic variation for multi-strain pathogens | 0 | 0.34 | 2010 |
| Signal threshold estimation in a sensor field for undersea target tracking | 0 | 0.34 | 2009 |
