Danil V. Prokhorov

163 papers A* 4A 3B 22C 11Misc 1Journal 77Unranked 42
YearRankTypeTitle / Venue / Authors
2025 — conf
Feasible Space Monitoring for Multiple Control Barrier Functions with Application to Large Scale Indoor Navigation.
CCTA
Hardik Parwana, Mitchell Black, Bardh Hoxha, Hideki Okamoto, Georgios Fainekos, Danil V. Prokhorov, Dimitra Panagou
2025 J jnl
Neurocontrol for fixed-length trajectories in environments with soft barriers.
Neural Networks
Michael Fairbank, Danil V. Prokhorov, David Barragan-Alcantar, Spyridon Samothrakis, Shuhui Li
2025 C conf
Risk-aware MPPI for Stochastic Hybrid Systems.
ACC
Hardik Parwana, Mitchell Black, Bardh Hoxha, Hideki Okamoto, Georgios Fainekos, Danil V. Prokhorov, Dimitra Panagou
2024 J jnl
CBFKIT: A Control Barrier Function Toolbox for Robotics Applications.
CoRR
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov
2024 A conf
CBFkit: A Control Barrier Function Toolbox for Robotics Applications.
IROS
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov
2024 J jnl
From Dashcam Videos to Driving Simulations: Stress Testing Automated Vehicles against Rare Events.
CoRR
Yan Miao, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov, Sayan Mitra
2024 — conf
LB4TL: A Smooth Semantics for Temporal Logic to Train Neural Feedback Controllers.
ADHS
Navid Hashemi, Samuel Williams, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy Deshmukh
2024 J jnl
Model Predictive Path Integral Methods with Reach-Avoid Tasks and Control Barrier Functions.
CoRR
Hardik Parwana, Mitchell Black, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov
2024 J jnl
Querying Perception Streams with Spatial Regular Expressions.
CoRR
Jacob Anderson, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov
2024 J jnl
Risk-aware MPPI for Stochastic Hybrid Systems.
CoRR
Hardik Parwana, Mitchell Black, Bardh Hoxha, Hideki Okamoto, Georgios Fainekos, Danil V. Prokhorov, Dimitra Panagou
2024 J jnl
Scaling Learning based Policy Optimization for Temporal Tasks via Dropout.
CoRR
Navid Hashemi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy Deshmukh
2024 J jnl
Scaling Learning-based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout.
ACM Trans. Cyber Phys. Syst.
Navid Hashemi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy V. Deshmukh
2023 J jnl
A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning enabled Control Systems.
CoRR
Navid Hashemi, Bardh Hoxha, Tomoya Yamaguchi, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy Deshmukh
2023 — conf
A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning-enabled Control Systems.
ICCPS
Navid Hashemi, Bardh Hoxha, Tomoya Yamaguchi, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy Deshmukh
2023 — conf
Design and fabrication of multi-pouch inflatable holding structure with higher payload.
RoboSoft
Yuyang Song, Umesh Gandhi, Danil V. Prokhorov
2023 J jnl
Feasible Space Monitoring for Multiple Control Barrier Functions with application to Large Scale Indoor Navigation.
CoRR
Hardik Parwana, Mitchell Black, Bardh Hoxha, Hideki Okamoto, Georgios Fainekos, Danil V. Prokhorov, Dimitra Panagou
2023 B conf
Pattern Matching for Perception Streams.
RV
Jacob Anderson, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov
2023 — conf
Quantitative Verification for Neural Networks using ProbStars.
HSCC
Hoang-Dung Tran, Sungwoo Choi, Hideki Okamoto, Bardh Hoxha, Georgios Fainekos, Danil V. Prokhorov
2023 C conf
Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives.
ACC
Navid Hashemi, Xin Qin, Jyotirmoy V. Deshmukh, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Tomoya Yamaguchi
2023 A* conf
Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions.
ICRA
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Dimitra Panagou
2023 J jnl
Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions.
CoRR
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Dimitra Panagou
2023 — conf
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
ICANN (1)
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
2023 J jnl
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
CoRR
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
2023 A* conf
Timed Partial Order Inference Algorithm.
ICAPS
Kandai Watanabe, Georgios Fainekos, Bardh Hoxha, Morteza Lahijanian, Danil V. Prokhorov, Sriram Sankaranarayanan, Tomoya Yamaguchi
2023 J jnl
Timed Partial Order Inference Algorithm.
CoRR
Kandai Watanabe, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos, Morteza Lahijanian, Sriram Sankaranarayanan, Tomoya Yamaguchi
2023 — conf
Verification of Recurrent Neural Networks with Star Reachability.
HSCC
Hoang-Dung Tran, Sung Woo Choi, Xiaodong Yang, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov
2022 J jnl
Model-based Evaluation of Driver Control Workloads in Haptic-based Driver Assistance Systems.
CoRR
Kenechukwu C. Mbanisi, Hideyuki Kimpara, Zhi Li, Danil V. Prokhorov, Michael A. Gennert
2022 — conf
Neural Network Repair with Reachability Analysis.
FORMATS
Xiaodong Yang, Tom Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov
2022 J jnl
Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives.
CoRR
Navid Hashemi, Xin Qin, Jyotirmoy V. Deshmukh, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Tomoya Yamaguchi
2021 J jnl
Force Anticipation and Its Potential Implications on Feedforward and Feedback Human Motor Control.
Hum. Factors
Hideyuki Kimpara, Kenechukwu C. Mbanisi, Zhi Li, Karen L. Troy, Danil V. Prokhorov, Michael A. Gennert
2021 J jnl
Neural Network Repair with Reachability Analysis.
CoRR
Xiaodong Yang, Tom Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov
2021 J jnl
Reachability Analysis of Convolutional Neural Networks.
CoRR
Xiaodong Yang, Tomoya Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov
2021 — conf
Reachability analysis of deep ReLU neural networks using facet-vertex incidence.
HSCC
Xiaodong Yang, Taylor T. Johnson, Hoang-Dung Tran, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov
2021 J jnl
Risk-Bounded Control Using Stochastic Barrier Functions.
IEEE Control. Syst. Lett.
Shakiba Yaghoubi, Keyvan Majd, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha
2021 — conf
Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions.
CDC
Shakiba Yaghoubi, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha
2021 J jnl
Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions.
CoRR
Shakiba Yaghoubi, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha
2021 C conf
Risk-bounded Control using Stochastic Barrier Functions.
ACC
Shakiba Yaghoubi, Keyvan Majd, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha
2021 A conf
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions.
IROS
Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos
2021 J jnl
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions.
CoRR
Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos
2020 Misc conf
Application of Simulation-Based Methods on Autonomous Vehicle Control with Deep Neural Network: Work-in-Progress.
EMSOFT
Yuji Date, Takeshi Baba, Bardh Hoxha, Tomoya Yamaguchi, Danil V. Prokhorov
2020 J jnl
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection.
IEEE Trans. Intell. Transp. Syst.
Fan Yang, Lei Zhang, Sijia Yu, Danil V. Prokhorov, Xue Mei, Haibin Ling
2020 J jnl
Human Model-Based Active Driving System in Vehicular Dynamic Simulation.
IEEE Trans. Intell. Transp. Syst.
Hideyuki Kimpara, Kenechukwu C. Mbanisi, Jie Fu, Zhi Li, Danil V. Prokhorov, Michael A. Gennert
2020 J jnl
Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components.
IEEE Trans. Intell. Veh.
Cumhur Erkan Tuncali, Georgios Fainekos, Danil V. Prokhorov, Hisahiro Ito, James Kapinski
2020 C conf
Specification-guided Software Fault Localization for Autonomous Mobile Systems.
MEMOCODE
Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Jyotirmoy V. Deshmukh
2019 J jnl
Differential Features for Pedestrian Detection: A Taylor Series Perspective.
IEEE Trans. Intell. Transp. Syst.
Jifeng Shen, Xin Zuo, Wankou Yang, Danil V. Prokhorov, Xue Mei, Haibin Ling
2019 J jnl
Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study.
Inf. Sci.
Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov
2019 J jnl
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection.
CoRR
Fan Yang, Lei Zhang, Sijia Yu, Danil V. Prokhorov, Xue Mei, Haibin Ling
2019 J jnl
Guest Editorial Special Issue on Discriminative Learning for Model Optimization and Statistical Inference.
IEEE Trans. Neural Networks Learn. Syst.
Wangmeng Zuo, Xi Peng, Ling Shao, Danil V. Prokhorov, Horst Bischof
2019 A conf
Learning Deep Neural Network Controllers for Dynamical Systems with Safety Guarantees: Invited Paper.
ICCAD
Jyotirmoy V. Deshmukh, James Kapinski, Tomoya Yamaguchi, Danil V. Prokhorov
2019 J jnl
Merging in Congested Freeway Traffic Using Multipolicy Decision Making and Passive Actor-Critic Learning.
IEEE Trans. Intell. Veh.
Tomoki Nishi, Prashant Doshi, Danil V. Prokhorov
2019 J jnl
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning.
IEEE Trans. Smart Grid
Zhiqiang Wan, Hepeng Li, Haibo He, Danil V. Prokhorov
2019 J jnl
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components.
CoRR
Cumhur Erkan Tuncali, Georgios Fainekos, Danil V. Prokhorov, Hisahiro Ito, James Kapinski
2019 B conf
Toward Next Generation of Autonomous Systems with AI.
IJCNN
Danil V. Prokhorov
2018 J jnl
Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach.
IEEE Trans. Intell. Transp. Syst.
Shuai Di, Honggang Zhang, Chun-Guang Li, Xue Mei, Danil V. Prokhorov, Haibin Ling
2018 B conf
Efficiency of Shallow Cascades for Improving Deep Learning AI Systems.
IJCNN
Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green
2018 J jnl
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study.
CoRR
Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov
2018 J jnl
Multi-Level Contextual RNNs With Attention Model for Scene Labeling.
IEEE Trans. Intell. Transp. Syst.
Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling
2018 C conf
Neural Network Based Distributed Consensus Control for Heterogeneous Multi-agent Systems.
ACC
He Jiang, Xiao-Kang Liu, Haibo He, Chengzhi Yuan, Danil V. Prokhorov
2017 J jnl
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics.
CoRR
Tomoki Nishi, Prashant Doshi, Michael R. James, Danil V. Prokhorov
2017 J jnl
Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene.
IEEE Trans. Neural Networks Learn. Syst.
Jun Li, Xue Mei, Danil V. Prokhorov, Dacheng Tao
2017 J jnl
Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic.
CoRR
Tomoki Nishi, Prashant Doshi, Danil V. Prokhorov
2017 J jnl
Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control.
IEEE Trans. Neural Networks Learn. Syst.
Yong-Duan Song, Frank L. Lewis, Marios M. Polycarpou, Danil V. Prokhorov, Dongbin Zhao
2017 — conf
Learning to tell brake and turn signals in videos using CNN-LSTM structure.
ITSC
Han-Kai Hsu, Yi-Hsuan Tsai, Xue Mei, Kuan-Hui Lee, Naoki Nagasaka, Danil V. Prokhorov, Ming-Hsuan Yang
2017 — conf
RGB-D Scene Labeling with Multimodal Recurrent Neural Networks.
CVPR Workshops
Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling
2016 — conf
A benchmark for cross-weather traffic scene understanding.
ITSC
Shuai Di, Honggang Zhang, Xue Mei, Danil V. Prokhorov, Haibin Ling
2016 J jnl
Approximation with random bases: Pro et Contra.
Inf. Sci.
Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov
2016 J jnl
Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study.
IEEE Trans. Intell. Veh.
Bunyo Okumura, Michael R. James, Yusuke Kanzawa, Matthew Derry, Katsuhiro Sakai, Tomoki Nishi, Danil V. Prokhorov
2016 B conf
Cross datasets vegetation detection with spatial prior and local context.
Intelligent Vehicles Symposium
Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling
2016 J jnl
IEEE Transactions on Intelligent Vehicles Senior Associate Editors.
IEEE Trans. Intell. Veh.
Danil V. Prokhorov, Sadayuki Tsugawa, Christoph Stiller, Christian Laugier, Emilio Frazzoli, Mohan M. Trivedi, Dimitar P. Filev
2016 — conf
Learning to tell brake lights with convolutional features.
ITSC
Guangyu Zhong, Yi-Hsuan Tsai, Yi-Ting Chen, Xue Mei, Danil V. Prokhorov, Michael James, Ming-Hsuan Yang
2016 J jnl
Multi-level Contextual RNNs with Attention Model for Scene Labeling.
CoRR
Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling
2016 C conf
Toward Highly Intelligent Automobiles.
VEHITS
Danil V. Prokhorov
2015 J jnl
Approximation with Random Bases: Pro et Contra.
CoRR
Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov
2015 B conf
Detection and motion planning for roadside parked vehicles at long distance.
Intelligent Vehicles Symposium
Xue Mei, Naoki Nagasaka, Bunyo Okumura, Danil V. Prokhorov
2015 J jnl
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Ni, Haibo He, Dongbin Zhao, Xin Xu, Danil V. Prokhorov
2015 A* conf
MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking.
CVPR
Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil V. Prokhorov, Dacheng Tao
2015 J jnl
Model-Free Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Ni, Haibo He, Xiangnan Zhong, Danil V. Prokhorov
2015 J jnl
Robust Multitask Multiview Tracking in Videos.
IEEE Trans. Neural Networks Learn. Syst.
Xue Mei, Zhibin Hong, Danil V. Prokhorov, Dacheng Tao
2015 — conf
Spatial Prior for Nonparametric Road Scene Parsing.
ITSC
Shuai Di, Honggang Zhang, Xue Mei, Danil V. Prokhorov, Haibin Ling
2014 — conf
Blur-Resilient Tracking Using Group Sparsity.
ACCV (5)
Pengpeng Liang, Yi Wu, Xue Mei, Jingyi Yu, Erik Blasch, Danil V. Prokhorov, Chunyuan Liao, Haitao Lang, Haibin Ling
2014 J jnl
Clipping in Neurocontrol by Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst.
Michael Fairbank, Danil V. Prokhorov, Eduardo Alonso
2014 — conf
Computational Intelligence in Automotive R & D.
IJCCI (ECTA)
Danil V. Prokhorov
2014 B conf
Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion.
IJCNN
Konstantin I. Sofeikov, Ivan Tyukin, Alexander N. Gorban, Eugenij Moiseevich Mirkes, Danil V. Prokhorov, Ilya V. Romanenko
2014 — conf
Tracking Using Multilevel Quantizations.
ECCV (6)
Zhibin Hong, Chaohui Wang, Xue Mei, Danil V. Prokhorov, Dacheng Tao
2013 J jnl
An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time.
IEEE Trans. Neural Networks Learn. Syst.
Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
2013 B conf
Robust controller design of continuous-time nonlinear system using neural network.
IJCNN
Xiangnan Zhong, Haibo He, Danil V. Prokhorov
2013 A* conf
Tracking via Robust Multi-task Multi-view Joint Sparse Representation.
ICCV
Zhibin Hong, Xue Mei, Danil V. Prokhorov, Dacheng Tao
2012 — conf
A Folded Neural Network Autoencoder for Dimensionality Reduction.
INNS-WC
Jing Wang, Haibo He, Danil V. Prokhorov
2012 B conf
Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming.
IJCNN
Zhen Ni, Haibo He, Dongbin Zhao, Danil V. Prokhorov
2012 J jnl
Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
2011 B conf
An online actor-critic learning approach with Levenberg-Marquardt algorithm.
IJCNN
Zhen Ni, Haibo He, Danil V. Prokhorov, Jian Fu
2011 J jnl
Editorial: One Year as EiC, and Editorial-Board Changes at TNN.
IEEE Trans. Neural Networks
Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso
2011 — conf
Overview of CI research in automotive ITS.
CIVTS
Danil V. Prokhorov
2010 J jnl
A convolutional learning system for object classification in 3-D lidar data.
IEEE Trans. Neural Networks
Danil V. Prokhorov
2010 — ch.
Learning and Evolution of Autonomous Adaptive Agents.
Advances in Machine Learning I
Vladimir G. Red'ko, Danil V. Prokhorov
2010 B conf
Multi-agent framework for remote diagnostics.
IEEE Congress on Evolutionary Computation
Danil V. Prokhorov
2010 B conf
Road obstacle classification with attention windows.
Intelligent Vehicles Symposium
Danil V. Prokhorov
2009 — conf
A Self-learning System for Object Categorization.
ICEIS
Danil V. Prokhorov
2009 — conf
A self-learning sensor fusion system for object classification.
CIVVS
Danil V. Prokhorov
2009 J jnl
Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques.
IEEE Trans. Syst. Man Cybern. Part A
Satnam Singh, Anuradha Kodali, Kihoon Choi, Krishna R. Pattipati, Setu Madhavi Namburu, S. C. Sean, Danil V. Prokhorov, Liu Qiao
2009 J jnl
Feasibility of random basis function approximators for modeling and control
CoRR
Ivan Tyukin, Danil V. Prokhorov
2009 — conf
Feasibility of random basis function approximators for modeling and control.
CCA/ISIC
Ivan Tyukin, Danil V. Prokhorov
2009 J jnl
Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems.
IEEE Trans. Instrum. Meas.
Kihoon Choi, Satnam Singh, Anuradha Kodali, Krishna R. Pattipati, John W. Sheppard, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao
2009 — conf
Object recognition in 3D lidar data with recurrent neural network.
CVPR Workshops
Danil V. Prokhorov
2009 — conf
Performance measurement and its role in advancement for intelligent systems: discussion points.
PerMIS
Danil V. Prokhorov, Yasuo Uehara
2009 — conf
Risk estimator for control in intelligent transportation system.
CCA/ISIC
Danil V. Prokhorov
2008 J jnl
Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof.
Neural Comput.
Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen
2008 B conf
Adaptive parameter robust estimation.
IJCNN
Dhafar S. Mohammed, Saeid R. Habibi, Danil V. Prokhorov
2008 — book
Computational Intelligence in Automotive Applications
Computational Intelligence in Automotive Applications
Danil V. Prokhorov
2008 — conf
Intelligent Systems for Modeling and Control: Advances in Design and Validation.
ISIC
Danil V. Prokhorov, Johann Schumann
2008 — conf
KDD and Its Applications in Automotive Sector - A Brief Survey.
DMIN
Setu Madhavi Namburu, Danil V. Prokhorov, Shunsuke Chigusa, Liu Qiao, Krishna R. Pattipati
2008 — ch.
Neural Networks in Automotive Applications.
Computational Intelligence in Automotive Applications
Danil V. Prokhorov
2008 C conf
Radar-vision fusion for object classification.
FUSION
Zhengping Ji, Danil V. Prokhorov
2008 J jnl
Toyota Prius HEV neurocontrol and diagnostics.
Neural Networks
Danil V. Prokhorov
2007 J jnl
Adaptation and Parameter Estimation in Systems With Unstable Target Dynamics and Nonlinear Parametrization.
IEEE Trans. Autom. Control.
Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen
2007 — conf
Automotive Turing Test.
PerMIS
Steven F. Kalik, Danil V. Prokhorov
2007 B conf
Dynamic fusion of classifiers for fault diagnosis.
SMC
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishna R. Pattipati, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao
2007 J jnl
Guest Editorial Special Issue on Neural Networks for Feedback Control Systems.
IEEE Trans. Neural Networks
Frank L. Lewis, Jie Huang, Thomas Parisini, Danil V. Prokhorov, Donald C. Wunsch II
2007 J jnl
Intelligent Control Systems Using Computational Intelligence [book review].
IEEE Trans. Neural Networks
Danil V. Prokhorov
2007 — conf
Prius control with a hybrid method.
ICINCO-RA (1)
Danil V. Prokhorov
2007 J jnl
Time series prediction with a weighted bidirectional multi-stream extended Kalman filter.
Neurocomputing
Xiao Hu, Danil V. Prokhorov, Donald C. Wunsch II
2007 B conf
Toyota Prius HEV neurocontrol.
IJCNN
Danil V. Prokhorov
2007 J jnl
Training Recurrent Neurocontrollers for Real-Time Applications.
IEEE Trans. Neural Networks
Danil V. Prokhorov
2007 J jnl
Training Winner-Take-All Simultaneous Recurrent Neural Networks.
IEEE Trans. Neural Networks
Xindi Cai, Danil V. Prokhorov, Donald C. Wunsch II
2006 B conf
Feedback Neurocontrol of a Disease.
IJCNN
Danil V. Prokhorov
2006 — conf
Project "Animat Brain": Designing the Animat Control System on the Basis of the Functional Systems Theory.
SAB ABiALS
Vladimir G. Red'ko, Konstantin V. Anokhin, Mikhail S. Burtsev, Alexander I. Manolov, Oleg P. Mosalov, Valentin A. Nepomnyashchikh, Danil V. Prokhorov
2006 J jnl
Training Recurrent Neurocontrollers for Robustness With Derivative-Free Kalman Filter.
IEEE Trans. Neural Networks
Danil V. Prokhorov
2005 B conf
A model of Baldwin effect in populations of self-learning agents.
IJCNN
Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov
2005 J jnl
A model of evolution and learning.
Neural Networks
Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov
2005 C conf
A new method for adaptive brake control.
ACC
Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen
2005 B conf
Echo state networks: appeal and challenges.
IJCNN
Danil V. Prokhorov
2005 — conf
Investigation of Evolving Populations of Adaptive Agents.
ICANN (1)
Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov
2005 C conf
Training neurocontrollers for robustness via nprKF.
ACC
Danil V. Prokhorov
2005 J jnl
Welcome to the special issue.
Neural Networks
Danil V. Prokhorov, Daniel S. Levine, Fredric M. Ham, William Howell
2004 B conf
Multiple-start directed search for improved NN solution.
IJCNN
Lee A. Feldkamp, Danil V. Prokhorov, Charles F. Eagen
2004 — conf
Stability analysis of discrete-time recurrent multilayer neural networks.
CDC
Nikita E. Barabanov, Danil V. Prokhorov
2004 B conf
Theory of functional systems, adaptive critics and neural networks.
IJCNN
Vladimir G. Red'ko, Danil V. Prokhorov, Mikhail S. Burtsev
2003 J jnl
A new method for stability analysis of nonlinear discrete-time systems.
IEEE Trans. Autom. Control.
Nikita Barabanov, Danil V. Prokhorov
2003 J jnl
Adaptive control with nonconvex parameterization.
IEEE Trans. Autom. Control.
Ivan Tyukin, Danil V. Prokhorov, Valery A. Terekhov
2003 B conf
Conditioned adaptive behavior from Kalman filter trained recurrent networks.
IJCNN
Lee A. Feldkamp, Danil V. Prokhorov, Timothy M. Feldkamp
2003 — conf
Finite form realizations of adaptive control algorithms.
ECC
Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen
2003 C conf
Optimal neurocontrollers for discretized distributed parameter systems.
ACC
Danil V. Prokhorov
2003 J jnl
Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach.
Neural Comput.
Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov
2003 J jnl
Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks.
Neural Networks
Lee A. Feldkamp, Danil V. Prokhorov, Timothy M. Feldkamp
2002 — conf
On a problem of time-varying learning rate influence on the adaptive system dynamics.
CDC
Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov, Valery A. Terekhov
2002 J jnl
Stability analysis of discrete-time recurrent neural networks.
IEEE Trans. Neural Networks
Nikita Barabanov, Danil V. Prokhorov
2002 — conf
Two alternative stability criteria for discrete-time RMLP.
CDC
Nikita E. Barabanov, Danil V. Prokhorov
2001 C conf
Global stability analysis of discrete-time recurrent neural networks.
ACC
Nikita E. Barabanov, Danil V. Prokhorov
2000 — conf
Adaptive control on manifolds with RBF neural networks.
CDC
Valeri A. Terekhov, Ivan Yu. Tyukin, Danil V. Prokhorov
2000 J jnl
Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction.
IEEE Trans. Neural Networks Learn. Syst.
Paul H. Eaton, Danil V. Prokhorov, Donald C. Wunsch II
2000 J jnl
Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG.
Neurocomputing
Arthur Petrosian, Danil V. Prokhorov, Richard Homan, Richard Dasheiff, Donald C. Wunsch II
1999 B conf
Application of SVM to Lyapunov function approximation.
IJCNN
Danil V. Prokhorov, Lee A. Feldkamp
1998 B conf
Analyzing for Lyapunov stability with adaptive critics.
SMC
Danil V. Prokhorov, Lee A. Feldkamp
1998 J jnl
Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks.
IEEE Trans. Neural Networks
Emad W. Saad, Danil V. Prokhorov, Donald C. Wunsch II
1997 — conf
Adaptive critic design in learning to play game of Go.
ICNN
Raonak Zaman, Danil V. Prokhorov, Donald C. Wunsch II
1997 J jnl
Adaptive critic designs.
IEEE Trans. Neural Networks
Danil V. Prokhorov, Donald C. Wunsch II
1997 J jnl
Comments on "A self-organizing network for hyperellipsoidal clustering (HEC)" [and reply].
IEEE Trans. Neural Networks
Wang Song, Shaowei Xia, Jianchang Mao, Anil K. Jain, Danil V. Prokhorov, Donald C. Wunsch II
1997 J jnl
Corrections To "Adaptive Critic Designs".
IEEE Trans. Neural Networks
Danil V. Prokhorov, Donald C. Wunsch
1997 — conf
Primitive adaptive critics.
ICNN
Danil V. Prokhorov, Lee A. Feldkamp
1997 — conf
Unified formulation for training recurrent networks with derivative adaptive critics.
ICNN
Lee A. Feldkamp, Gintaras V. Puskorius, Danil V. Prokhorov
1996 — conf
Advanced neural network training methods for low false alarm stock trend prediction.
ICNN
Emad W. Saad, Danil V. Prokhorov, Donald C. Wunsch II
1995 J jnl
Adaptive critic designs: A case study for neurocontrol.
Neural Networks
Danil V. Prokhorov, Roberto A. Santiago, Donald C. Wunsch II
1995 — conf
Conservative thirty calendar day stock prediction using a probabilistic neural network.
CIFEr
Hong Tan, Danil V. Prokhorov, Donald C. Wunsch