Algebraic training of a neural network. - Silvia Ferrari; Robert F. Stengel (ACC, 2001)

An adaptive critic global controller. - Silvia Ferrari; Robert F. Stengel (ACC, 2002)

Bayesian Network Modeling of Offender Behavior for Criminal Profiling. - Kelli Baumgartner; Silvia Ferrari; C. Gabrielle Salfati (CDC/ECC, 2005)

Smooth function approximation using neural networks. - Silvia Ferrari; Robert F. Stengel (IEEE Trans. Neural Networks, 2005)

On the Development of an Intelligent Computer Player for CLUE: a Case Study on Preposterior Decision Analysis. - Chenghui Cai; Silvia Ferrari (ACC, 2006)

Track coverage in sensor networks. - Silvia Ferrari (ACC, 2006)

Optimal Placement of a Moving Sensor Network for Track Coverage. - Kelli Baumgartner; Silvia Ferrari (ACC, 2007)

Comparison of Information-Theoretic Objective Functions for Decision Support in Sensor Systems. - Chenghui Cai; Silvia Ferrari (ACC, 2007)

A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets. - Silvia Ferrari; Chenghui Cai; Rafael Fierro; Brent Perteet (ACC, 2007)

An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments. - Rafael Fierro; Silvia Ferrari; Chenghui Cai (CDC, 2008)

A Q-Learning approach to developing an automated neural computer player for the board game of CLUE®. - Chenghui Cai; Silvia Ferrari (IJCNN, 2008)

Biologically realizable reward-modulated hebbian training for spiking neural networks. - Silvia Ferrari; Bhavesh Mehta; Gianluca Di Muro; Antonius M. J. VanDongen; Craig Henriquez (IJCNN, 2008)

A constrained-optimization approach to training neural networks for smooth function approximation and system identification. - Gianluca Di Muro; Silvia Ferrari (IJCNN, 2008)

Constructing Bayesian networks for criminal profiling from limited data. - Kelli Baumgartner; Silvia Ferrari; G. Palermo (Knowl. Based Syst., 2008)

A Geometric Transversal Approach to Analyzing Track Coverage in Sensor Networks. - Kelli Baumgartner; Silvia Ferrari (IEEE Trans. Computers, 2008)

A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training. - Silvia Ferrari; Mark Jensenius (IEEE Trans. Neural Networks, 2008)

Adaptive Feedback Control by Constrained Approximate Dynamic Programming. - Silvia Ferrari; James Edward Steck; Rajeev Chandramohan (IEEE Trans. Syst. Man Cybern. Part B, 2008)

A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network. - Silvia Ferrari; Rafael Fierro; Domagoj Tolic (CDC, 2009)

An adaptive artificial potential function approach for geometric sensing. - Guoxian Zhang; Silvia Ferrari (CDC, 2009)

A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments. - Gianluca Di Muro; Silvia Ferrari (IJCNN, 2009)

An Information Roadmap Method for Robotic Sensor Path Planning. - Guoxian Zhang; Silvia Ferrari; M. Qian (J. Intell. Robotic Syst., 2009)

A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets Using a Mobile Sensor Network. - Silvia Ferrari; Rafael Fierro; Brent Perteet; Chenghui Cai; Kelli Baumgartner (SIAM J. Control. Optim., 2009)

Multiobjective Algebraic Synthesis of Neural Control Systems by Implicit Model Following. - Silvia Ferrari (IEEE Trans. Neural Networks, 2009)

Information-Driven Sensor Path Planning by Approximate Cell Decomposition. - Chenghui Cai; Silvia Ferrari (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Information-Driven Search Strategies in the Board Game of CLUE®. - Silvia Ferrari; Chenghui Cai (IEEE Trans. Syst. Man Cybern. Part B, 2009)

A geometric transversals approach to analyzing track coverage of omnidirectional sensor networks for maneuvering targets. - Brian Bernard; Silvia Ferrari (CDC, 2010)

Necessary conditions for optimality for a distributed optimal control problem. - Greg Foderaro; Silvia Ferrari (CDC, 2010)

Indirect training of a spiking neural network for flight control via spike-timing-dependent synaptic plasticity. - Greg Foderaro; Craig Henriquez; Silvia Ferrari (CDC, 2010)

A randomized hybrid system approach to coordinated robotic sensor planning. - Wenjie Lu; Guoxian Zhang; Silvia Ferrari (CDC, 2010)

A cell decomposition approach to cooperative path planning and collision avoidance via disjunctive programming. - Ashleigh Swingler; Silvia Ferrari (CDC, 2010)

A potential field approach to finding minimum-exposure paths in wireless sensor networks. - Silvia Ferrari; Greg Foderaro (ICRA, 2010)

A probability density function approach to distributed sensors' path planning. - Silvia Ferrari; Greg Foderaro; Andrew Tremblay (ICRA, 2010)

Probabilistic Track Coverage in Cooperative Sensor Networks. - Silvia Ferrari; Guoxian Zhang; Thomas A. Wettergren (IEEE Trans. Syst. Man Cybern. Part B, 2010)

A cell decomposition approach to online evasive path planning and the video game Ms. Pac-Man. - Greg Foderaro; Vikram Raju; Silvia Ferrari (ISIC, 2011)

Cooperative navigation for heterogeneous autonomous vehicles via approximate dynamic programming. - Silvia Ferrari; Michael Anderson; Rafael Fierro; Wenjie Lu (CDC/ECC, 2011)

A Disjunctive Programming Approach for Motion Planning of Mobile Router Networks. - Nicola Bezzo; Rafael Fierro; Ashleigh Swingler; Silvia Ferrari (Int. J. Robotics Autom., 2011)

Optimal self-triggering for nonlinear systems via Approximate Dynamic Programming. - Domagoj Tolic; Rafael Fierro; Silvia Ferrari (CCA, 2012)

A model-based cell decomposition approach to on-line pursuit-evasion path planning and the video game Ms. Pac-Man. - Greg Foderaro; Ashleigh Swingler; Silvia Ferrari (CIG, 2012)

A comparison of information theoretic functions for tracking maneuvering targets. - Wenjie Lu; Guoxian Zhang; Silvia Ferrari (SSP, 2012)

A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques. - Xu Zhang 001; Greg Foderaro; Craig S. Henriquez; Antonius M. J. VanDongen; Silvia Ferrari (Adv. Artif. Neural Syst., 2012)

Emergent bursting and synchrony in computer simulations of neuronal cultures. - Niru Maheswaranathan; Silvia Ferrari; Antonius M. J. VanDongen; Craig Henriquez (Frontiers Comput. Neurosci., 2012)

A Comparison of Information Functions and Search Strategies for Sensor Planning in Target Classification. - Guoxian Zhang; Silvia Ferrari; Chenghui Cai (IEEE Trans. Syst. Man Cybern. Part B, 2012)

An approximate dynamic programming approach for model-free control of switched systems. - Wenjie Lu; Silvia Ferrari (CDC, 2013)

A generalized reduced gradient method for the optimal control of multiscale dynamical systems. - Keith Rudd; Greg Foderaro; Silvia Ferrari (CDC, 2013)

On the duality of robot and sensor path planning. - Ashleigh Swingler; Silvia Ferrari (CDC, 2013)

Modeling of human driver behavior via receding horizon and artificial neural network controllers. - Hongchuan Wei; Weston A. Ross; Stefano Varisco; Philippe Krief; Silvia Ferrari (CDC, 2013)

Spike-based indirect training of a spiking neural network-controlled virtual insect. - Xu Zhang 001; Ziye Xu; Craig Henriquez; Silvia Ferrari (CDC, 2013)

ML2VR: providing MATLAB users an easy transition to virtual reality and immersive interactivity. - David J. Zielinski; Ryan P. McMahan; Wenjie Lu; Silvia Ferrari (VR, 2013)

Intercept tags: enhancing intercept-based systems. - David J. Zielinski; Regis Kopper; Ryan P. McMahan; Wenjie Lu; Silvia Ferrari (VRST, 2013)

Information driven path planning and control for collaborative aerial robotic sensors using artificial potential functions. - Anna Chiara Bellini; Wenjie Lu; Roberto Naldi; Silvia Ferrari (ACC, 2014)

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Silvia Ferrari; Robert H. Klein; Shayegan Omidshafiei; Jonathan P. How (IROS, 2014)

Optimized visibility motion planning for target tracking and localization. - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Guoquan Huang 001; John J. Leonard; Silvia Ferrari (IROS, 2014)

Distributed optimal control for multi-agent trajectory optimization. - Greg Foderaro; Silvia Ferrari; Thomas A. Wettergren (Autom., 2014)

An Information Value Function for Nonparametric Gaussian Processes. - Hongchuan Wei; Wenjie Lu; Silvia Ferrari (CoRR, 2014)

A Geometric Transversals Approach to Analyzing the Probability of Track Detection for Maneuvering Targets. - Hongchuan Wei; Silvia Ferrari (IEEE Trans. Computers, 2014)

A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations. - Keith Rudd; Gianluca Di Muro; Silvia Ferrari (IEEE Trans. Neural Networks Learn. Syst., 2014)

An Information Potential Approach to Integrated Sensor Path Planning and Control. - Wenjie Lu; Guoxian Zhang; Silvia Ferrari (IEEE Trans. Robotics, 2014)

Multi-kernel probability distribution regressions. - Pingping Zhu; Hongchuan Wei; Wenjie Lu; Silvia Ferrari (IJCNN, 2015)

A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks. - Keith Rudd; Silvia Ferrari (Neurocomputing, 2015)

A Geometric Transversals Approach to Sensor Motion Planning for Tracking Maneuvering Targets. - Hongchuan Wei; Silvia Ferrari (IEEE Trans. Autom. Control., 2015)

Spiking neural network (SNN) control of a flapping insect-scale robot. - Taylor S. Clawson; Silvia Ferrari; Sawyer B. Fuller; Robert J. Wood (CDC, 2016)

Value function approximation for the control of multiscale dynamical systems. - Pingping Zhu; Julian Morelli; Silvia Ferrari (CDC, 2016)

Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Silvia Ferrari; Miao Liu 001; Robert H. Klein; Shayegan Omidshafiei; Jonathan P. How (Autom., 2016)

Digital implementation of a virtual insect trained by spike-timing dependent plasticity. - Pinaki Mazumder; D. Hu; Idongesit E. Ebong; Xu Zhang 001; Z. Xu; Silvia Ferrari (Integr., 2016)

A blade element approach to modeling aerodynamic flight of an insect-scale robot. - Taylor S. Clawson; Sawyer B. Fuller; Robert J. Wood; Silvia Ferrari (ACC, 2017)

Deep learning feature extraction for target recognition and classification in underwater sonar images. - Pingping Zhu; Jason T. Isaacs; Bo Fu; Silvia Ferrari (CDC, 2017)

An adaptive spiking neural controller for flapping insect-scale robots. - Taylor S. Clawson; Terrence C. Stewart; Chris Eliasmith; Silvia Ferrari (SSCI, 2017)

Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration. - Hanna Oh-Descher; Jeffrey M. Beck; Silvia Ferrari; Marc A. Sommer; Tobias Egner (NeuroImage, 2017)

A Model-Based Approach to Optimizing Ms. Pac-Man Game Strategies in Real Time. - Greg Foderaro; Ashleigh Swingler; Silvia Ferrari (IEEE Trans. Comput. Intell. AI Games, 2017)

A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems. - Keith Rudd; Greg Foderaro; Pingping Zhu; Silvia Ferrari (IEEE Trans. Robotics, 2017)

Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms. - Bryce Doerr; Richard Linares; Pingping Zhu; Silvia Ferrari (CoRR, 2018)

A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks. - Xu Zhang 001; Greg Foderaro; Craig Henriquez; Silvia Ferrari (Int. J. Neural Syst., 2018)

Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking. - Greg Foderaro; Pingping Zhu; Hongchuan Wei; Thomas A. Wettergren; Silvia Ferrari (IEEE Trans. Control. Netw. Syst., 2018)

Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors. - Chang Liu 002; Yucheng Chen; Jake Gemerek; Hengye Yang; Silvia Ferrari (ICRA, 2019)

Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems. - Julian Morelli; Pingping Zhu; Bryce Doerr; Richard Linares; Silvia Ferrari (ICRA, 2019)

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps. - Pingping Zhu; Silvia Ferrari; Julian Morelli; Richard Linares; Bryce Doerr (Sensors, 2019)

Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets. - Hongchuan Wei; Pingping Zhu; Miao Liu 001; Jonathan P. How; Silvia Ferrari (IEEE Trans. Autom. Control., 2019)

Oriented Pedestrian Social Interaction Modeling and Inference. - Junyi Dong; Pingping Zhu; Silvia Ferrari (ACC, 2020)

Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. - Chang Liu 002; Zhihao Liao 002; Silvia Ferrari (CDC, 2020)

The Role of Bounded Fields-of-View and Negative Information in Finite Set Statistics (FISST). - Keith A. LeGrand; Silvia Ferrari (FUSION, 2020)

FoveaCam: A MEMS Mirror-Enabled Foveating Camera. - Brevin Tilmon; Eakta Jain; Silvia Ferrari; Sanjeev J. Koppal (ICCP, 2020)

A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking. - Keith A. LeGrand; Pingping Zhu; Silvia Ferrari (FUSION, 2021)

Guest Editorial Special Issue on Control of Very-Large-Scale Robotic (VLSR) Networks. - Silvia Ferrari; Thomas A. Wettergren; Richard Linares; Keith A. LeGrand (IEEE Trans. Control. Netw. Syst., 2021)

Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. - Pingping Zhu; Chang Liu 002; Silvia Ferrari (IEEE Trans. Control. Netw. Syst., 2021)

A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments. - Hengye Yang; Joy Putney; Usama Bin Sikandar; Pingping Zhu; Simon Sponberg; Silvia Ferrari (IJCNN, 2022)

Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering. - Keith A. LeGrand; Silvia Ferrari (CoRR, 2022)

Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition. - Jaejeong Shin; Shi Chang; Matthew J. Bays; Joshua Weaver; Thomas A. Wettergren; Silvia Ferrari (CoRR, 2022)

NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints. - Frances Zhu; Dongheng Jing; Frederick A. Leve; Silvia Ferrari (Frontiers Robotics AI, 2022)

Fast Foveating Cameras for Dense Adaptive Resolution. - Brevin Tilmon; Eakta Jain; Silvia Ferrari; Sanjeev J. Koppal (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Holistic Approach for Role Inference and Action Anticipation in Human Teams. - Junyi Dong; Qingze Huo; Silvia Ferrari (ACM Trans. Intell. Syst. Technol., 2022)

Directional Sensor Planning for Occlusion Avoidance. - Jake Gemerek; Bo Fu; Yucheng Chen; Zeyu Liu 010; Min Zheng; David van Wijk; Silvia Ferrari (IEEE Trans. Robotics, 2022)

Real-Time Communication Control in Decentralized Autonomous Sensor Networks. - Hongchuan Wei; Keith A. LeGrand; Andre A. Paradise; Silvia Ferrari (J. Aerosp. Inf. Syst., 2022)

Predicting visually-modulated precisely-timed spikes across a coordinated and comprehensive motor program. - Usama Bin Sikandar; Hannah Choi; Joy Putney; Hengye Yang; Silvia Ferrari; Simon Sponberg (IJCNN, 2023)

RealTHASC - a cyber-physical XR testbed for AI-supported real-time human autonomous systems collaborations. - Andre A. Paradise; Sushrut Surve; Jovan C. Menezes; Madhav Gupta; Vaibhav Bisht; Kyung Rak Jang; Cong Liu; Suming Qiu; Junyi Dong; Jane Shin; Silvia Ferrari (Frontiers Virtual Real., 2023)

Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-Object Search-While-Tracking (SWT). - Keith A. LeGrand; Pingping Zhu; Silvia Ferrari (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

UnRealTHASC - A Cyber-Physical XR Testbed for Underwater Real-Time Human Autonomous Systems Collaboration. - Sushrut Surve; Jia Guo; Jovan C. Menezes; Connor Tate; Yiting Jin; Justin Walker; Silvia Ferrari (RO-MAN, 2024)

Heuristic satisficing inferential decision making in human and robot active perception. - Yucheng Chen; Pingping Zhu; Anthony Alers; Tobias Egner; Marc A. Sommer; Silvia Ferrari (Frontiers Robotics AI, 2024)

Persistent Schedule Evaluation and Adaptive Re-planning for Maritime Search Tasks. - Matthew J. Bays; Thomas A. Wettergren; Jaejeong Shin; Shi Chang; Silvia Ferrari (J. Intell. Robotic Syst., 2024)