Neurocontrol for fixed-length trajectories in environments with soft barriers.

Danil V. Prokhorov https://scholar.google.com/citations?user=7GTfQmgAAAAJ https://orcid.org/0000-0002-6208-4233 https://www.wikidata.org/entity/Q130808882 Toyota Technical Center, Ann Arbor, USA

Michael Fairbank Danil V. Prokhorov David Barragan-Alcantar Spyridon Samothrakis Shuhui Li Neurocontrol for fixed-length trajectories in environments with soft barriers. 107034 2025 184 Neural Networks https://doi.org/10.1016/j.neunet.2024.107034 db/journals/nn/nn184.html#FairbankPBSL25 streams/journals/nn

Hardik Parwana Mitchell Black 0001 Bardh Hoxha Hideki Okamoto Georgios Fainekos Danil V. Prokhorov Dimitra Panagou Risk-aware MPPI for Stochastic Hybrid Systems. 4369-4376 2025 ACC https://doi.org/10.23919/ACC63710.2025.11107447 conf/amcc/2025 db/conf/amcc/acc2025.html#ParwanaBHOFPP25 streams/conf/amcc Hardik Parwana Mitchell Black 0001 Bardh Hoxha Hideki Okamoto Georgios Fainekos Danil V. Prokhorov Dimitra Panagou Feasible Space Monitoring for Multiple Control Barrier Functions with Application to Large Scale Indoor Navigation. 171-178 2025 CCTA https://doi.org/10.1109/CCTA53793.2025.11151444 conf/ccta/2025 db/conf/ccta/ccta2025.html#ParwanaBHOFPP25 streams/conf/ccta

Navid Hashemi Bardh Hoxha Danil V. Prokhorov Georgios Fainekos Jyotirmoy V. Deshmukh Scaling Learning-based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout. 42:1-42:28 2024 October 8 ACM Trans. Cyber Phys. Syst. 4 https://doi.org/10.1145/3696112 https://www.wikidata.org/entity/Q130808885 db/journals/tcps/tcps8.html#HashemiHPFD24 streams/journals/tcps

Navid Hashemi Samuel Williams Bardh Hoxha Danil V. Prokhorov Georgios Fainekos Jyotirmoy Deshmukh LB4TL: A Smooth Semantics for Temporal Logic to Train Neural Feedback Controllers. 183-188 2024 ADHS https://doi.org/10.1016/j.ifacol.2024.07.445 conf/adhs/2024 db/conf/adhs/adhs2024.html#HashemiWHPFD24 Mitchell Black 0001 Georgios Fainekos Bardh Hoxha Hideki Okamoto Danil V. Prokhorov CBFkit: A Control Barrier Function Toolbox for Robotics Applications. 12428-12434 2024 IROS https://doi.org/10.1109/IROS58592.2024.10801431 conf/iros/2024 db/conf/iros/iros2024.html#BlackFHOP24

Navid Hashemi Bardh Hoxha Danil V. Prokhorov Georgios Fainekos Jyotirmoy Deshmukh Scaling Learning based Policy Optimization for Temporal Tasks via Dropout. 2024 abs/2403.15826 CoRR https://doi.org/10.48550/arXiv.2403.15826 db/journals/corr/corr2403.html#abs-2403-15826

Mitchell Black 0001 Georgios Fainekos Bardh Hoxha Hideki Okamoto Danil V. Prokhorov CBFKIT: A Control Barrier Function Toolbox for Robotics Applications. 2024 abs/2404.07158 CoRR https://doi.org/10.48550/arXiv.2404.07158 db/journals/corr/corr2404.html#abs-2404-07158

Hardik Parwana Mitchell Black 0001 Georgios Fainekos Bardh Hoxha Hideki Okamoto Danil V. Prokhorov Model Predictive Path Integral Methods with Reach-Avoid Tasks and Control Barrier Functions. 2024 abs/2407.13693 CoRR https://doi.org/10.48550/arXiv.2407.13693 db/journals/corr/corr2407.html#abs-2407-13693 streams/journals/corr

Jacob Anderson Georgios Fainekos Bardh Hoxha Hideki Okamoto Danil V. Prokhorov Querying Perception Streams with Spatial Regular Expressions. 2024 abs/2411.05946 CoRR https://doi.org/10.48550/arXiv.2411.05946 db/journals/corr/corr2411.html#abs-2411-05946 streams/journals/corr

Hardik Parwana Mitchell Black 0001 Bardh Hoxha Hideki Okamoto Georgios Fainekos Danil V. Prokhorov Dimitra Panagou Risk-aware MPPI for Stochastic Hybrid Systems. 2024 abs/2411.09198 CoRR https://doi.org/10.48550/arXiv.2411.09198 db/journals/corr/corr2411.html#abs-2411-09198 streams/journals/corr

Yan Miao Georgios Fainekos Bardh Hoxha Hideki Okamoto Danil V. Prokhorov Sayan Mitra 0001 From Dashcam Videos to Driving Simulations: Stress Testing Automated Vehicles against Rare Events. 2024 abs/2411.16027 CoRR https://doi.org/10.48550/arXiv.2411.16027 db/journals/corr/corr2411.html#abs-2411-16027 streams/journals/corr

Kandai Watanabe Georgios Fainekos Bardh Hoxha Morteza Lahijanian Danil V. Prokhorov Sriram Sankaranarayanan 0001 Tomoya Yamaguchi 0001 Timed Partial Order Inference Algorithm. 639-647 2023 ICAPS https://doi.org/10.1609/icaps.v33i1.27246 conf/aips/2023 db/conf/aips/icaps2023.html#WatanabeFHLP0023 Navid Hashemi Xin Qin Jyotirmoy V. Deshmukh Georgios Fainekos Bardh Hoxha Danil V. Prokhorov Tomoya Yamaguchi 0001 Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives. 4096-4103 2023 ACC https://doi.org/10.23919/ACC55779.2023.10156345 conf/amcc/2023 db/conf/amcc/acc2023.html#HashemiQDFHP023 Hoang-Dung Tran Sungwoo Choi Hideki Okamoto Bardh Hoxha Georgios Fainekos Danil V. Prokhorov Quantitative Verification for Neural Networks using ProbStars. 4:1-4:12 2023 HSCC https://doi.org/10.1145/3575870.3587112 conf/hybrid/2023 db/conf/hybrid/hscc2023.html#TranCOHFP23 Hoang-Dung Tran Sung Woo Choi Xiaodong Yang Tomoya Yamaguchi 0001 Bardh Hoxha Danil V. Prokhorov Verification of Recurrent Neural Networks with Star Reachability. 6:1-6:13 2023 HSCC https://doi.org/10.1145/3575870.3587128 conf/hybrid/2023 db/conf/hybrid/hscc2023.html#TranCY0HP23 Alexander Bastounis Alexander N. Gorban Anders C. Hansen Desmond J. Higham Danil V. Prokhorov Oliver J. Sutton Ivan Yu. Tyukin Qinghua Zhou The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. 530-541 2023 ICANN (1) https://doi.org/10.1007/978-3-031-44207-0_44 conf/icann/2023-1 db/conf/icann/icann2023-1.html#BastounisGHHPSTZ23 streams/conf/icann Navid Hashemi Bardh Hoxha Tomoya Yamaguchi 0001 Danil V. Prokhorov Georgios Fainekos Jyotirmoy Deshmukh A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning-enabled Control Systems. 98-109 2023 ICCPS https://doi.org/10.1145/3576841.3585928 https://www.wikidata.org/entity/Q130829072 conf/iccps/2023 db/conf/iccps/iccps2023.html#HashemiH0PFD23 Mitchell Black 0001 Georgios Fainekos Bardh Hoxha Danil V. Prokhorov Dimitra Panagou Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions. 12686-12692 2023 ICRA https://doi.org/10.1109/ICRA48891.2023.10161379 conf/icra/2023 db/conf/icra/icra2023.html#BlackFHPP23 Yuyang Song Umesh Gandhi Danil V. Prokhorov Design and fabrication of multi-pouch inflatable holding structure with higher payload. 1-6 2023 RoboSoft https://doi.org/10.1109/RoboSoft55895.2023.10121978 conf/robosoft/2023 db/conf/robosoft/robosoft2023.html#SongGP23 Jacob Anderson Georgios Fainekos Bardh Hoxha Hideki Okamoto Danil V. Prokhorov Pattern Matching for Perception Streams. 251-270 2023 RV https://doi.org/10.1007/978-3-031-44267-4_13 conf/rv/2023 db/conf/rv/rv2023.html#AndersonFHOP23

Kandai Watanabe Bardh Hoxha Danil V. Prokhorov Georgios Fainekos Morteza Lahijanian Sriram Sankaranarayanan 0001 Tomoya Yamaguchi 0001 Timed Partial Order Inference Algorithm. 2023 abs/2302.02501 CoRR https://doi.org/10.48550/arXiv.2302.02501 db/journals/corr/corr2302.html#abs-2302-02501

Navid Hashemi Bardh Hoxha Tomoya Yamaguchi 0001 Danil V. Prokhorov Georgios Fainekos Jyotirmoy Deshmukh A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning enabled Control Systems. 2023 abs/2303.05394 CoRR https://doi.org/10.48550/arXiv.2303.05394 db/journals/corr/corr2303.html#abs-2303-05394

Mitchell Black 0001 Georgios Fainekos Bardh Hoxha Danil V. Prokhorov Dimitra Panagou Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions. 2023 abs/2304.01040 CoRR https://doi.org/10.48550/arXiv.2304.01040 db/journals/corr/corr2304.html#abs-2304-01040

Alexander Bastounis Alexander N. Gorban Anders C. Hansen Desmond J. Higham Danil V. Prokhorov Oliver J. Sutton Ivan Yu. Tyukin Qinghua Zhou The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. 2023 abs/2309.07072 CoRR https://doi.org/10.48550/arXiv.2309.07072 db/journals/corr/corr2309.html#abs-2309-07072

Hardik Parwana Mitchell Black 0001 Bardh Hoxha Hideki Okamoto Georgios Fainekos Danil V. Prokhorov Dimitra Panagou Feasible Space Monitoring for Multiple Control Barrier Functions with application to Large Scale Indoor Navigation. 2023 abs/2312.07803 CoRR https://doi.org/10.48550/arXiv.2312.07803 db/journals/corr/corr2312.html#abs-2312-07803

Xiaodong Yang Tom Yamaguchi 0001 Hoang-Dung Tran Bardh Hoxha Taylor T. Johnson Danil V. Prokhorov Neural Network Repair with Reachability Analysis. 221-236 2022 FORMATS https://doi.org/10.1007/978-3-031-15839-1_13 conf/formats/2022 db/conf/formats/formats2022.html#YangYTHJP22

Navid Hashemi Xin Qin Jyotirmoy V. Deshmukh Georgios Fainekos Bardh Hoxha Danil V. Prokhorov Tomoya Yamaguchi 0001 Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives. 2022 abs/2210.07439 CoRR https://doi.org/10.48550/arXiv.2210.07439 db/journals/corr/corr2210.html#abs-2210-07439

Kenechukwu C. Mbanisi Hideyuki Kimpara Zhi Li 0004 Danil V. Prokhorov Michael A. Gennert Model-based Evaluation of Driver Control Workloads in Haptic-based Driver Assistance Systems. 2022 abs/2210.13609 CoRR https://doi.org/10.48550/arXiv.2210.13609 db/journals/corr/corr2210.html#abs-2210-13609

Shakiba Yaghoubi Keyvan Majd Georgios Fainekos Tomoya Yamaguchi 0001 Danil V. Prokhorov Bardh Hoxha Risk-Bounded Control Using Stochastic Barrier Functions. 1831-1836 2021 5 IEEE Control. Syst. Lett. 5 https://doi.org/10.1109/LCSYS.2020.3043287 db/journals/csysl/csysl5.html#YaghoubiMFYPH21

Hideyuki Kimpara Kenechukwu C. Mbanisi Zhi Li 0004 Karen L. Troy Danil V. Prokhorov Michael A. Gennert Force Anticipation and Its Potential Implications on Feedforward and Feedback Human Motor Control. 2021 63 Hum. Factors 4 https://doi.org/10.1177/0018720819900842 https://www.wikidata.org/entity/Q90184331 db/journals/hf/hf63.html#KimparaMLTPG21

Shakiba Yaghoubi Keyvan Majd Georgios Fainekos Tomoya Yamaguchi 0001 Danil V. Prokhorov Bardh Hoxha Risk-bounded Control using Stochastic Barrier Functions. 1131-1136 2021 ACC https://doi.org/10.23919/ACC50511.2021.9483118 conf/amcc/2021 db/conf/amcc/amcc2021.html#YaghoubiMF0PH21 Shakiba Yaghoubi Georgios Fainekos Tomoya Yamaguchi 0001 Danil V. Prokhorov Bardh Hoxha Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions. 5213-5219 2021 CDC https://doi.org/10.1109/CDC45484.2021.9683756 conf/cdc/2021 db/conf/cdc/cdc2021.html#YaghoubiF0PH21 Xiaodong Yang Taylor T. Johnson Hoang-Dung Tran Tomoya Yamaguchi 0001 Bardh Hoxha Danil V. Prokhorov Reachability analysis of deep ReLU neural networks using facet-vertex incidence. 18:1-18:7 2021 HSCC https://doi.org/10.1145/3447928.3456650 conf/hybrid/2021 db/conf/hybrid/hscc2021.html#YangJT0HP21 Keyvan Majd Shakiba Yaghoubi Tomoya Yamaguchi 0001 Bardh Hoxha Danil V. Prokhorov Georgios Fainekos Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions. 5794-5800 2021 IROS https://doi.org/10.1109/IROS51168.2021.9636406 conf/iros/2021 db/conf/iros/iros2021.html#MajdY0HPF21

Keyvan Majd Shakiba Yaghoubi Tomoya Yamaguchi 0001 Bardh Hoxha Danil V. Prokhorov Georgios Fainekos Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions. 2021 abs/2105.01204 CoRR https://arxiv.org/abs/2105.01204 db/journals/corr/corr2105.html#abs-2105-01204

Xiaodong Yang Tomoya Yamaguchi 0001 Hoang-Dung Tran Bardh Hoxha Taylor T. Johnson Danil V. Prokhorov Reachability Analysis of Convolutional Neural Networks. 2021 abs/2106.12074 CoRR https://arxiv.org/abs/2106.12074 db/journals/corr/corr2106.html#abs-2106-12074

Xiaodong Yang Tom Yamaguchi 0001 Hoang-Dung Tran Bardh Hoxha Taylor T. Johnson Danil V. Prokhorov Neural Network Repair with Reachability Analysis. 2021 abs/2108.04214 CoRR https://arxiv.org/abs/2108.04214 db/journals/corr/corr2108.html#abs-2108-04214

Shakiba Yaghoubi Georgios Fainekos Tomoya Yamaguchi 0001 Danil V. Prokhorov Bardh Hoxha Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions. 2021 abs/2112.14912 CoRR https://arxiv.org/abs/2112.14912 db/journals/corr/corr2112.html#abs-2112-14912

Fan Yang 0035 Lei Zhang 0036 Sijia Yu Danil V. Prokhorov Xue Mei Haibin Ling Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection. 1525-1535 2020 21 IEEE Trans. Intell. Transp. Syst. 4 https://doi.org/10.1109/TITS.2019.2910595 https://www.wikidata.org/entity/Q127980863 db/journals/tits/tits21.html#YangZYPML20

Hideyuki Kimpara Kenechukwu C. Mbanisi Jie Fu 0002 Zhi Li 0004 Danil V. Prokhorov Michael A. Gennert Human Model-Based Active Driving System in Vehicular Dynamic Simulation. 1903-1914 2020 21 IEEE Trans. Intell. Transp. Syst. 5 https://doi.org/10.1109/TITS.2019.2906294 db/journals/tits/tits21.html#KimparaMFLPG20

Cumhur Erkan Tuncali Georgios Fainekos Danil V. Prokhorov Hisahiro Ito James Kapinski Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components. 265-280 2020 5 IEEE Trans. Intell. Veh. 2 https://doi.org/10.1109/TIV.2019.2955903 db/journals/tiv/tiv5.html#TuncaliFPIK20

Yuji Date Takeshi Baba Bardh Hoxha Tomoya Yamaguchi 0001 Danil V. Prokhorov Application of Simulation-Based Methods on Autonomous Vehicle Control with Deep Neural Network: Work-in-Progress. 1-3 2020 EMSOFT https://doi.org/10.1109/EMSOFT51651.2020.9244013 conf/emsoft/2020 db/conf/emsoft/emsoft2020.html#DateBHYP20 Tomoya Yamaguchi 0001 Bardh Hoxha Danil V. Prokhorov Jyotirmoy V. Deshmukh Specification-guided Software Fault Localization for Autonomous Mobile Systems. 1-12 2020 MEMOCODE https://doi.org/10.1109/MEMOCODE51338.2020.9315067 conf/memocode/2020 db/conf/memocode/memocode2020.html#0001HPD20

Ivan Yu. Tyukin Alexander N. Gorban Stephen Green 0001 Danil V. Prokhorov Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study. 230-247 2019 485 Inf. Sci. https://doi.org/10.1016/j.ins.2018.11.057 https://www.wikidata.org/entity/Q128431640 db/journals/isci/isci485.html#TyukinGGP19

Jifeng Shen Xin Zuo Wankou Yang Danil V. Prokhorov Xue Mei Haibin Ling Differential Features for Pedestrian Detection: A Taylor Series Perspective. 2913-2922 2019 20 IEEE Trans. Intell. Transp. Syst. 8 https://doi.org/10.1109/TITS.2018.2869087 db/journals/tits/tits20.html#ShenZYPML19

Tomoki Nishi Prashant Doshi Danil V. Prokhorov Merging in Congested Freeway Traffic Using Multipolicy Decision Making and Passive Actor-Critic Learning. 287-297 2019 4 IEEE Trans. Intell. Veh. 2 https://doi.org/10.1109/TIV.2019.2904417 db/journals/tiv/tiv4.html#NishiDP19

Wangmeng Zuo Xi Peng 0001 Ling Shao 0001 Danil V. Prokhorov Horst Bischof Guest Editorial Special Issue on Discriminative Learning for Model Optimization and Statistical Inference. 2894-2897 2019 30 IEEE Trans. Neural Networks Learn. Syst. 10 https://doi.org/10.1109/TNNLS.2019.2935802 db/journals/tnn/tnn30.html#ZuoPSPB19

Zhiqiang Wan Hepeng Li Haibo He Danil V. Prokhorov Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning. 5246-5257 2019 10 IEEE Trans. Smart Grid 5 https://doi.org/10.1109/TSG.2018.2879572 https://www.wikidata.org/entity/Q128978605 db/journals/tsg/tsg10.html#WanLHP19

Jyotirmoy V. Deshmukh James Kapinski Tomoya Yamaguchi 0001 Danil V. Prokhorov Learning Deep Neural Network Controllers for Dynamical Systems with Safety Guarantees: Invited Paper. 1-7 2019 ICCAD https://doi.org/10.1109/ICCAD45719.2019.8942130 conf/iccad/2019 db/conf/iccad/iccad2019.html#DeshmukhKYP19 Danil V. Prokhorov Toward Next Generation of Autonomous Systems with AI. 1-5 2019 IJCNN https://doi.org/10.1109/IJCNN.2019.8851867 conf/ijcnn/2019 db/conf/ijcnn/ijcnn2019.html#Prokhorov19

Fan Yang 0035 Lei Zhang 0036 Sijia Yu Danil V. Prokhorov Xue Mei Haibin Ling Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection. 2019 abs/1901.06340 CoRR http://arxiv.org/abs/1901.06340 db/journals/corr/corr1901.html#abs-1901-06340

Cumhur Erkan Tuncali Georgios Fainekos Danil V. Prokhorov Hisahiro Ito James Kapinski Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components. 2019 abs/1908.01094 CoRR http://arxiv.org/abs/1908.01094 db/journals/corr/corr1908.html#abs-1908-01094

Shuai Di Honggang Zhang 0002 Chun-Guang Li Xue Mei Danil V. Prokhorov Haibin Ling Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach. 745-757 2018 19 IEEE Trans. Intell. Transp. Syst. 3 https://doi.org/10.1109/TITS.2017.2702012 db/journals/tits/tits19.html#DiZLMPL18

Heng Fan 0001 Xue Mei Danil V. Prokhorov Haibin Ling Multi-Level Contextual RNNs With Attention Model for Scene Labeling. 3475-3485 2018 19 IEEE Trans. Intell. Transp. Syst. 11 https://doi.org/10.1109/TITS.2017.2775628 db/journals/tits/tits19.html#FanMPL18

He Jiang 0004 Xiao-Kang Liu 0001 Haibo He Chengzhi Yuan Danil V. Prokhorov Neural Network Based Distributed Consensus Control for Heterogeneous Multi-agent Systems. 5175-5180 2018 ACC https://doi.org/10.23919/ACC.2018.8431744 conf/amcc/2018 db/conf/amcc/acc2018.html#JiangLHYP18 Ivan Yu. Tyukin Alexander N. Gorban Danil V. Prokhorov Stephen Green 0001 Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. 1-8 2018 IJCNN https://doi.org/10.1109/IJCNN.2018.8489266 conf/ijcnn/2018 db/conf/ijcnn/ijcnn2018.html#TyukinGPG18

Ivan Yu. Tyukin Alexander N. Gorban Stephen Green 0001 Danil V. Prokhorov Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study. 2018 abs/1810.05593 CoRR http://arxiv.org/abs/1810.05593 db/journals/corr/corr1810.html#abs-1810-05593

Yong-Duan Song Frank L. Lewis Marios M. Polycarpou Danil V. Prokhorov Dongbin Zhao Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control. 494-499 2017 28 IEEE Trans. Neural Networks Learn. Syst. 3 https://doi.org/10.1109/TNNLS.2016.2617239 db/journals/tnn/tnn28.html#SongLPPZ17

Jun Li 0010 Xue Mei Danil V. Prokhorov Dacheng Tao Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene. 690-703 2017 28 IEEE Trans. Neural Networks Learn. Syst. 3 https://doi.org/10.1109/TNNLS.2016.2522428 https://www.wikidata.org/entity/Q50532533 db/journals/tnn/tnn28.html#LiMPT17

Heng Fan 0001 Xue Mei Danil V. Prokhorov Haibin Ling RGB-D Scene Labeling with Multimodal Recurrent Neural Networks. 203-211 2017 CVPR Workshops https://doi.org/10.1109/CVPRW.2017.31 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.31 conf/cvpr/2017w db/conf/cvpr/cvprw2017.html#FanMPL17 Han-Kai Hsu Yi-Hsuan Tsai Xue Mei Kuan-Hui Lee Naoki Nagasaka Danil V. Prokhorov Ming-Hsuan Yang 0001 Learning to tell brake and turn signals in videos using CNN-LSTM structure. 1-6 2017 ITSC https://doi.org/10.1109/ITSC.2017.8317782 conf/itsc/2017 db/conf/itsc/itsc2017.html#HsuTMLNP017

Tomoki Nishi Prashant Doshi Michael R. James 0001 Danil V. Prokhorov Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics. 2017 abs/1706.01077 CoRR http://arxiv.org/abs/1706.01077 db/journals/corr/corr1706.html#NishiDJP17

Tomoki Nishi Prashant Doshi Danil V. Prokhorov Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic. 2017 abs/1707.04489 CoRR http://arxiv.org/abs/1707.04489 db/journals/corr/corr1707.html#NishiDP17

Alexander N. Gorban Ivan Yu. Tyukin Danil V. Prokhorov Konstantin I. Sofeikov Approximation with random bases: Pro et Contra. 129-145 2016 364-365 Inf. Sci. https://doi.org/10.1016/j.ins.2015.09.021 https://www.wikidata.org/entity/Q56050911 db/journals/isci/isci364.html#GorbanTPS16

Danil V. Prokhorov Sadayuki Tsugawa Christoph Stiller Christian Laugier Emilio Frazzoli Mohan M. Trivedi Dimitar P. Filev IEEE Transactions on Intelligent Vehicles Senior Associate Editors. 3-5 2016 1 IEEE Trans. Intell. Veh. 1 https://doi.org/10.1109/TIV.2016.2578658 db/journals/tiv/tiv1.html#ProkhorovTSLFTF16

Bunyo Okumura Michael R. James 0001 Yusuke Kanzawa Matthew Derry Katsuhiro Sakai Tomoki Nishi Danil V. Prokhorov Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study. 20-32 2016 1 IEEE Trans. Intell. Veh. 1 https://doi.org/10.1109/TIV.2016.2551545 db/journals/tiv/tiv1.html#OkumuraJKDSNP16

Guangyu Zhong Yi-Hsuan Tsai Yi-Ting Chen 0001 Xue Mei Danil V. Prokhorov Michael James 0001 Ming-Hsuan Yang 0001 Learning to tell brake lights with convolutional features. 1558-1563 2016 ITSC https://doi.org/10.1109/ITSC.2016.7795765 conf/itsc/2016 db/conf/itsc/itsc2016.html#ZhongTCMPJ016 Shuai Di Honggang Zhang 0002 Xue Mei Danil V. Prokhorov Haibin Ling A benchmark for cross-weather traffic scene understanding. 2150-2156 2016 ITSC https://doi.org/10.1109/ITSC.2016.7795904 conf/itsc/2016 db/conf/itsc/itsc2016.html#DiZMPL16 Heng Fan 0001 Xue Mei Danil V. Prokhorov Haibin Ling Cross datasets vegetation detection with spatial prior and local context. 735-740 2016 Intelligent Vehicles Symposium https://doi.org/10.1109/IVS.2016.7535469 conf/ivs/2016 db/conf/ivs/ivs2016.html#FanMPL16 Danil V. Prokhorov Toward Highly Intelligent Automobiles. 7 2016 VEHITS conf/vehits/2016 db/conf/vehits/vehits2016.html#Prokhorov16

Heng Fan 0001 Xue Mei Danil V. Prokhorov Haibin Ling Multi-level Contextual RNNs with Attention Model for Scene Labeling. 2016 abs/1607.02537 CoRR http://arxiv.org/abs/1607.02537 db/journals/corr/corr1607.html#FanMPL16

Zhen Ni Haibo He Dongbin Zhao Xin Xu 0001 Danil V. Prokhorov GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. 614-627 2015 26 IEEE Trans. Neural Networks Learn. Syst. 3 https://doi.org/10.1109/TNNLS.2014.2329942 https://www.wikidata.org/entity/Q50649356 db/journals/tnn/tnn26.html#NiHZXP15

Zhen Ni Haibo He Xiangnan Zhong Danil V. Prokhorov Model-Free Dual Heuristic Dynamic Programming. 1834-1839 2015 26 IEEE Trans. Neural Networks Learn. Syst. 8 https://doi.org/10.1109/TNNLS.2015.2424971 https://www.wikidata.org/entity/Q87272669 db/journals/tnn/tnn26.html#NiHZP15

Xue Mei Zhibin Hong Danil V. Prokhorov Dacheng Tao Robust Multitask Multiview Tracking in Videos. 2874-2890 2015 26 IEEE Trans. Neural Networks Learn. Syst. 11 https://doi.org/10.1109/TNNLS.2015.2399233 https://www.wikidata.org/entity/Q41323827 db/journals/tnn/tnn26.html#MeiHPT15

Zhibin Hong Zhe Chen 0013 Chaohui Wang Xue Mei Danil V. Prokhorov Dacheng Tao MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking. 749-758 2015 CVPR https://doi.org/10.1109/CVPR.2015.7298675 https://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298675 conf/cvpr/2015 db/conf/cvpr/cvpr2015.html#HongCWMPT15 Shuai Di Honggang Zhang 0002 Xue Mei Danil V. Prokhorov Haibin Ling Spatial Prior for Nonparametric Road Scene Parsing. 1209-1214 2015 ITSC https://doi.org/10.1109/ITSC.2015.199 conf/itsc/2015 db/conf/itsc/itsc2015.html#DiZMPL15 Xue Mei Naoki Nagasaka Bunyo Okumura Danil V. Prokhorov Detection and motion planning for roadside parked vehicles at long distance. 412-418 2015 Intelligent Vehicles Symposium https://doi.org/10.1109/IVS.2015.7225720 conf/ivs/2015 db/conf/ivs/ivs2015.html#MeiNOP15

Alexander N. Gorban Ivan Yu. Tyukin Danil V. Prokhorov Konstantin I. Sofeikov Approximation with Random Bases: Pro et Contra. 2015 abs/1506.04631 CoRR http://arxiv.org/abs/1506.04631 db/journals/corr/corr1506.html#GorbanTPS15

Michael Fairbank Danil V. Prokhorov Eduardo Alonso 0001 Clipping in Neurocontrol by Adaptive Dynamic Programming. 1909-1920 2014 25 IEEE Trans. Neural Networks Learn. Syst. 10 https://doi.org/10.1109/TNNLS.2014.2297991 https://www.wikidata.org/entity/Q50630215 db/journals/tnn/tnn25.html#FairbankPA14

Pengpeng Liang Yi Wu 0001 Xue Mei Jingyi Yu 0001 Erik Blasch Danil V. Prokhorov Chunyuan Liao Haitao Lang Haibin Ling Blur-Resilient Tracking Using Group Sparsity. 131-145 2014 ACCV (5) https://doi.org/10.1007/978-3-319-16814-2_9 conf/accv/2014-5 db/conf/accv/accv2014-5.html#LiangWMYBPLLL14 Zhibin Hong Chaohui Wang Xue Mei Danil V. Prokhorov Dacheng Tao Tracking Using Multilevel Quantizations. 155-171 2014 ECCV (6) https://doi.org/10.1007/978-3-319-10599-4_11 conf/eccv/2014-6 db/conf/eccv/eccv2014-6.html#HongWMPT14 Danil V. Prokhorov Computational Intelligence in Automotive R & D. IS-7 2014 IJCCI (ECTA) conf/ijcci/2014ecta db/conf/ijcci/ijcci2014ecta.html#Prokhorov14 Konstantin I. Sofeikov Ivan Tyukin Alexander N. Gorban Eugenij Moiseevich Mirkes Danil V. Prokhorov Ilya V. Romanenko Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion. 3548-3555 2014 IJCNN https://doi.org/10.1109/IJCNN.2014.6889842 conf/ijcnn/2014 db/conf/ijcnn/ijcnn2014.html#SofeikovTGMPR14

Michael Fairbank Eduardo Alonso 0001 Danil V. Prokhorov An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. 2088-2100 2013 24 IEEE Trans. Neural Networks Learn. Syst. 12 https://doi.org/10.1109/TNNLS.2013.2271778 https://www.wikidata.org/entity/Q50664629 db/journals/tnn/tnn24.html#FairbankAP13

Zhibin Hong Xue Mei Danil V. Prokhorov Dacheng Tao Tracking via Robust Multi-task Multi-view Joint Sparse Representation. 649-656 2013 ICCV https://doi.org/10.1109/ICCV.2013.86 https://doi.ieeecomputersociety.org/10.1109/ICCV.2013.86 conf/iccv/2013 db/conf/iccv/iccv2013.html#HongMPT13 Xiangnan Zhong Haibo He Danil V. Prokhorov Robust controller design of continuous-time nonlinear system using neural network. 1-8 2013 IJCNN https://doi.org/10.1109/IJCNN.2013.6707098 conf/ijcnn/2013 db/conf/ijcnn/ijcnn2013.html#ZhongHP13

Michael Fairbank Eduardo Alonso 0001 Danil V. Prokhorov Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks. 1671-1676 2012 23 IEEE Trans. Neural Networks Learn. Syst. 10 https://doi.org/10.1109/TNNLS.2012.2205268 https://www.wikidata.org/entity/Q50782866 db/journals/tnn/tnn23.html#FairbankAP12

Zhen Ni Haibo He Dongbin Zhao Danil V. Prokhorov Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. 1-8 2012 IJCNN https://doi.org/10.1109/IJCNN.2012.6252524 conf/ijcnn/2012 db/conf/ijcnn/ijcnn2012.html#NiHZP12 Jing Wang Haibo He Danil V. Prokhorov A Folded Neural Network Autoencoder for Dimensionality Reduction. 120-127 2012 conf/inns-wc/2012 INNS-WC https://doi.org/10.1016/j.procs.2012.09.120 db/journals/procedia/procedia13.html#WangHP12

Marco Baglietto Lubica Benusková Ivo Bukovsky Tianping Chen Tom Heskes Kazushi Ikeda Fakhri Karray Rhee Man Kil Robert Legenstein Jinhu Lu 0001 Yunqian Ma Malik Magdon-Ismail Michael G. Paulin Robi Polikar Danil V. Prokhorov Marco A. Wiering Vicente Zarzoso Editorial: One Year as EiC, and Editorial-Board Changes at TNN. 1-7 2011 22 IEEE Trans. Neural Networks 1 https://doi.org/10.1109/TNN.2010.2099171 db/journals/tnn/tnn22.html#BagliettoBBCHIKKLLMMPPPWZ11

Danil V. Prokhorov Overview of CI research in automotive ITS. 1-7 2011 CIVTS https://doi.org/10.1109/CIVTS.2011.5949538 conf/civts/2011 db/conf/civts/civts2011.html#Prokhorov11 Zhen Ni Haibo He Danil V. Prokhorov Jian Fu An online actor-critic learning approach with Levenberg-Marquardt algorithm. 2333-2340 2011 IJCNN https://doi.org/10.1109/IJCNN.2011.6033520 conf/ijcnn/2011 db/conf/ijcnn/ijcnn2011.html#NiHPF11

Danil V. Prokhorov A convolutional learning system for object classification in 3-D lidar data. 858-863 2010 21 IEEE Trans. Neural Networks 5 https://doi.org/10.1109/TNN.2010.2044802 https://www.wikidata.org/entity/Q33547253 db/journals/tnn/tnn21.html#Prokhorov10

Danil V. Prokhorov Multi-agent framework for remote diagnostics. 1-8 2010 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2010.5586043 conf/cec/2010 db/conf/cec/cec2010.html#Prokhorov10 Danil V. Prokhorov Road obstacle classification with attention windows. 889-895 2010 Intelligent Vehicles Symposium https://doi.org/10.1109/IVS.2010.5548053 conf/ivs/2010 db/conf/ivs/ivs2010.html#Prokhorov10 Vladimir G. Red'ko Danil V. Prokhorov Learning and Evolution of Autonomous Adaptive Agents. 491-500 2010 Advances in Machine Learning I https://doi.org/10.1007/978-3-642-05177-7_25 series/sci/2010-262 db/series/sci/sci262.html#RedkoP10

Kihoon Choi Satnam Singh Anuradha Kodali Krishna R. Pattipati John W. Sheppard Setu Madhavi Namburu Shunsuke Chigusa Danil V. Prokhorov Liu Qiao Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems. 602-611 2009 58 IEEE Trans. Instrum. Meas. 3 https://doi.org/10.1109/TIM.2008.2004340 db/journals/tim/tim58.html#ChoiSKPSNCPQ09

Satnam Singh Anuradha Kodali Kihoon Choi Krishna R. Pattipati Setu Madhavi Namburu S. C. Sean Danil V. Prokhorov Liu Qiao Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques. 160-176 2009 39 IEEE Trans. Syst. Man Cybern. Part A 1 https://doi.org/10.1109/TSMCA.2008.2007986 db/journals/tsmc/tsmca39.html#SinghKCPNSPQ09

Ivan Tyukin Danil V. Prokhorov Feasibility of random basis function approximators for modeling and control. 1391-1396 2009 CCA/ISIC https://doi.org/10.1109/CCA.2009.5281061 conf/IEEEcca/2009 db/conf/IEEEcca/IEEEcca2009.html#TyukinP09 Danil V. Prokhorov Risk estimator for control in intelligent transportation system. 1403-1408 2009 CCA/ISIC https://doi.org/10.1109/CCA.2009.5281108 conf/IEEEcca/2009 db/conf/IEEEcca/IEEEcca2009.html#Prokhorov09 Danil V. Prokhorov A self-learning sensor fusion system for object classification. 1-7 2009 CIVVS https://doi.org/10.1109/CIVVS.2009.4938716 conf/civvs/2009 db/conf/civvs/civvs2009.html#Prokhorov09 Danil V. Prokhorov Object recognition in 3D lidar data with recurrent neural network. 9-15 2009 CVPR Workshops https://doi.org/10.1109/CVPRW.2009.5204114 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2009.5204114 conf/cvpr/2009w db/conf/cvpr/cvprw2009.html#Prokhorov09 Danil V. Prokhorov A Self-learning System for Object Categorization. 265-274 2009 ICEIS https://doi.org/10.1007/978-3-642-01347-8_22 conf/iceis/2009 db/conf/iceis/iceis2009.html#Prokhorov09 Danil V. Prokhorov Yasuo Uehara Performance measurement and its role in advancement for intelligent systems: discussion points. 265-267 2009 PerMIS https://doi.org/10.1145/1865909.1865962 conf/permis/2009 db/conf/permis/permis2009.html#ProkhorovU09

Ivan Tyukin Danil V. Prokhorov Feasibility of random basis function approximators for modeling and control http://arxiv.org/abs/0905.0677 2009 CoRR abs/0905.0677 db/journals/corr/corr0905.html#abs-0905-0677

Ivan Tyukin Danil V. Prokhorov Cees van Leeuwen Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof. 2564-2596 2008 20 Neural Comput. 10 https://doi.org/10.1162/neco.2008.05-07-527 db/journals/neco/neco20.html#TyukinPL08

Danil V. Prokhorov Toyota Prius HEV neurocontrol and diagnostics. 458-465 2008 21 Neural Networks 2-3 https://doi.org/10.1016/j.neunet.2007.12.043 https://www.wikidata.org/entity/Q47929530 db/journals/nn/nn21.html#Prokhorov08

Danil V. Prokhorov Johann Schumann Intelligent Systems for Modeling and Control: Advances in Design and Validation. 18 2008 ISIC https://doi.org/10.1109/ISIC.2008.4635932 conf/IEEEisic/2008 db/conf/IEEEisic/isic2008.html#ProkhorovS08 Setu Madhavi Namburu Danil V. Prokhorov Shunsuke Chigusa Liu Qiao Krishna R. Pattipati KDD and Its Applications in Automotive Sector - A Brief Survey. 335-341 2008 DMIN conf/dmin/2008 db/conf/dmin/dmin2008.html#NamburuPCQP08 Zhengping Ji Danil V. Prokhorov Radar-vision fusion for object classification. 1-7 2008 FUSION https://ieeexplore.ieee.org/document/4632220/ conf/fusion/2008 db/conf/fusion/fusion2008.html#JiP08 Dhafar S. Mohammed Saeid R. Habibi Danil V. Prokhorov Adaptive parameter robust estimation. 2948-2955 2008 IJCNN https://doi.org/10.1109/IJCNN.2008.4634213 conf/ijcnn/2008 db/conf/ijcnn/ijcnn2008.html#MohammedHP08 Danil V. Prokhorov Neural Networks in Automotive Applications. 101-123 2008 Computational Intelligence in Automotive Applications https://doi.org/10.1007/978-3-540-79257-4_7 series/sci/2008-132 db/series/sci/sci132.html#Prokhorov08 Danil V. Prokhorov Computational Intelligence in Automotive Applications Computational Intelligence in Automotive Applications 132 2008 978-3-540-79256-7 Studies in Computational Intelligence Springer db/series/sci/sci132.html

Xiao Hu Danil V. Prokhorov Donald C. Wunsch II Time series prediction with a weighted bidirectional multi-stream extended Kalman filter. 2392-2399 2007 70 Neurocomputing 13-15 https://doi.org/10.1016/j.neucom.2005.12.135 db/journals/ijon/ijon70.html#HuPW07

Ivan Tyukin Danil V. Prokhorov Cees van Leeuwen Adaptation and Parameter Estimation in Systems With Unstable Target Dynamics and Nonlinear Parametrization. 1543-1559 2007 52 IEEE Trans. Autom. Control. 9 https://doi.org/10.1109/TAC.2007.904448 db/journals/tac/tac52.html#TyukinPL07

Danil V. Prokhorov Intelligent Control Systems Using Computational Intelligence [book review]. 611-612 2007 18 IEEE Trans. Neural Networks 2 https://doi.org/10.1109/TNN.2007.893089 db/journals/tnn/tnn18.html#Prokhorov07

Xindi Cai Danil V. Prokhorov Donald C. Wunsch II Training Winner-Take-All Simultaneous Recurrent Neural Networks. 674-684 2007 18 IEEE Trans. Neural Networks 3 https://doi.org/10.1109/TNN.2007.891685 https://www.wikidata.org/entity/Q39798657 db/journals/tnn/tnn18.html#CaiPW07

Frank L. Lewis Jie Huang 0001 Thomas Parisini Danil V. Prokhorov Donald C. Wunsch II Guest Editorial Special Issue on Neural Networks for Feedback Control Systems. 969-972 2007 18 IEEE Trans. Neural Networks 4 https://doi.org/10.1109/TNN.2007.902966 https://www.wikidata.org/entity/Q51909250 db/journals/tnn/tnn18.html#LewisHPPW07

Danil V. Prokhorov Training Recurrent Neurocontrollers for Real-Time Applications. 1003-1015 2007 18 IEEE Trans. Neural Networks 4 https://doi.org/10.1109/TNN.2007.899521 https://www.wikidata.org/entity/Q50946566 db/journals/tnn/tnn18.html#Prokhorov07a

Danil V. Prokhorov Prius control with a hybrid method. 372-376 2007 conf/icinco/2007ra1 ICINCO-RA (1) db/conf/icinco/icinco2007-ra1.html#Prokhorov07 Danil V. Prokhorov Toyota Prius HEV neurocontrol. 2129-2134 2007 IJCNN https://doi.org/10.1109/IJCNN.2007.4371287 conf/ijcnn/2007 db/conf/ijcnn/ijcnn2007.html#Prokhorov07 Steven F. Kalik Danil V. Prokhorov Automotive Turing Test. 152-158 2007 PerMIS https://doi.org/10.1145/1660877.1660898 https://www.wikidata.org/entity/Q130962012 conf/permis/2007 db/conf/permis/permis2007.html#KalikP07 Satnam Singh Kihoon Choi Anuradha Kodali Krishna R. Pattipati Setu Madhavi Namburu Shunsuke Chigusa Danil V. Prokhorov Liu Qiao Dynamic fusion of classifiers for fault diagnosis. 2467-2472 2007 SMC https://doi.org/10.1109/ICSMC.2007.4414167 conf/smc/2007 db/conf/smc/smc2007.html#SinghCKPNCPQ07

Danil V. Prokhorov Training Recurrent Neurocontrollers for Robustness With Derivative-Free Kalman Filter. 1606-1616 2006 17 IEEE Trans. Neural Networks 6 https://doi.org/10.1109/TNN.2006.880580 https://www.wikidata.org/entity/Q51927990 db/journals/tnn/tnn17.html#Prokhorov06

Danil V. Prokhorov Feedback Neurocontrol of a Disease. 2345-2348 2006 IJCNN https://doi.org/10.1109/IJCNN.2006.247056 conf/ijcnn/2006 db/conf/ijcnn/ijcnn2006.html#Prokhorov06 Vladimir G. Red'ko Konstantin V. Anokhin Mikhail S. Burtsev Alexander I. Manolov Oleg P. Mosalov Valentin A. Nepomnyashchikh Danil V. Prokhorov Project "Animat Brain": Designing the Animat Control System on the Basis of the Functional Systems Theory. 94-107 2006 conf/sab/2006a SAB ABiALS https://doi.org/10.1007/978-3-540-74262-3_6 db/conf/sab/sab2006a.html#RedkoABMMNP06

Danil V. Prokhorov Daniel S. Levine 0001 Fredric M. Ham William Howell Welcome to the special issue. 457- 2005 18 Neural Networks 5-6 https://doi.org/10.1016/j.neunet.2005.06.037 db/journals/nn/nn18.html#ProkhorovLHH05

Vladimir G. Red'ko Oleg P. Mosalov Danil V. Prokhorov A model of evolution and learning. 738-745 2005 18 Neural Networks 5-6 https://doi.org/10.1016/j.neunet.2005.06.005 https://www.wikidata.org/entity/Q51966100 db/journals/nn/nn18.html#RedkoMP05

Danil V. Prokhorov Training neurocontrollers for robustness via nprKF. 1337-1342 2005 ACC https://doi.org/10.1109/ACC.2005.1470150 conf/amcc/2005 db/conf/amcc/acc2005.html#Prokhorov05 Ivan Tyukin Danil V. Prokhorov Cees van Leeuwen A new method for adaptive brake control. 2194-2199 2005 ACC https://doi.org/10.1109/ACC.2005.1470294 conf/amcc/2005 db/conf/amcc/acc2005.html#TyukinPL05 Vladimir G. Red'ko Oleg P. Mosalov Danil V. Prokhorov Investigation of Evolving Populations of Adaptive Agents. 337-342 2005 conf/icann/2005-1 ICANN (1) https://doi.org/10.1007/11550822_53 db/conf/icann/icann2005-1.html#RedkoMP05 Vladimir G. Red'ko Oleg P. Mosalov Danil V. Prokhorov A model of Baldwin effect in populations of self-learning agents. 1355-1360 2005 IJCNN https://doi.org/10.1109/IJCNN.2005.1556071 conf/ijcnn/2005 db/conf/ijcnn/ijcnn2005.html#RedkoMP05 streams/conf/ijcnn Danil V. Prokhorov Echo state networks: appeal and challenges. 1463-1466 2005 IJCNN https://doi.org/10.1109/IJCNN.2005.1556091 conf/ijcnn/2005 db/conf/ijcnn/ijcnn2005.html#Prokhorov05 streams/conf/ijcnn Nikita E. Barabanov Danil V. Prokhorov Stability analysis of discrete-time recurrent multilayer neural networks. 4958-4963 2004 CDC https://doi.org/10.1109/CDC.2004.1429592 conf/cdc/2004 db/conf/cdc/cdc2004.html#BarabanovP04 Lee A. Feldkamp Danil V. Prokhorov Charles F. Eagen Multiple-start directed search for improved NN solution. 991-996 2004 IJCNN https://doi.org/10.1109/IJCNN.2004.1380069 conf/ijcnn/2004 db/conf/ijcnn/ijcnn2004.html#FeldkampPE04 streams/conf/ijcnn Vladimir G. Red'ko Danil V. Prokhorov Mikhail S. Burtsev Theory of functional systems, adaptive critics and neural networks. 1787-1792 2004 IJCNN https://doi.org/10.1109/IJCNN.2004.1380879 conf/ijcnn/2004 db/conf/ijcnn/ijcnn2004.html#RedkoPB04 streams/conf/ijcnn

Ivan Tyukin Cees van Leeuwen Danil V. Prokhorov Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach. 2419-2455 2003 15 Neural Comput. 10 https://doi.org/10.1162/089976603322362428 https://www.wikidata.org/entity/Q35544472 db/journals/neco/neco15.html#TyukinLP03

Lee A. Feldkamp Danil V. Prokhorov Timothy M. Feldkamp Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks. 683-689 2003 16 Neural Networks 5-6 https://doi.org/10.1016/S0893-6080(03)00127-8 https://www.wikidata.org/entity/Q52013002 db/journals/nn/nn16.html#FeldkampPF03

Ivan Tyukin Danil V. Prokhorov Valery A. Terekhov Adaptive control with nonconvex parameterization. 554-567 2003 48 IEEE Trans. Autom. Control. 4 https://doi.org/10.1109/TAC.2003.809800 db/journals/tac/tac48.html#TyukinPT03

Nikita Barabanov Danil V. Prokhorov A new method for stability analysis of nonlinear discrete-time systems. 2250-2255 2003 48 IEEE Trans. Autom. Control. 12 https://doi.org/10.1109/TAC.2003.820158 db/journals/tac/tac48.html#BarabanovP03

Danil V. Prokhorov Optimal neurocontrollers for discretized distributed parameter systems. 549-554 2003 ACC https://doi.org/10.1109/ACC.2003.1239074 conf/amcc/2003 db/conf/amcc/acc2003.html#Prokhorov03 Ivan Tyukin Danil V. Prokhorov Cees van Leeuwen Finite form realizations of adaptive control algorithms. 264-269 2003 ECC https://doi.org/10.23919/ECC.2003.7084965 conf/eucc/2003 db/conf/eucc/eucc2003.html#TyukinPL03 Lee A. Feldkamp Danil V. Prokhorov Timothy M. Feldkamp Conditioned adaptive behavior from Kalman filter trained recurrent networks. 3017-3021 2003 IJCNN https://doi.org/10.1109/IJCNN.2003.1224052 conf/ijcnn/2003 db/conf/ijcnn/ijcnn2003.html#FeldkampPF03 streams/conf/ijcnn

Nikita Barabanov Danil V. Prokhorov Stability analysis of discrete-time recurrent neural networks. 292-303 2002 13 IEEE Trans. Neural Networks 2 https://doi.org/10.1109/72.991416 https://www.wikidata.org/entity/Q51894961 db/journals/tnn/tnn13.html#BarabanovP02

Nikita E. Barabanov Danil V. Prokhorov Two alternative stability criteria for discrete-time RMLP. 1776-1779 2002 CDC https://doi.org/10.1109/CDC.2002.1184780 conf/cdc/2002 db/conf/cdc/cdc2002.html#BarabanovP02 Ivan Tyukin Cees van Leeuwen Danil V. Prokhorov Valery A. Terekhov On a problem of time-varying learning rate influence on the adaptive system dynamics. 4718-4721 2002 CDC https://doi.org/10.1109/CDC.2002.1185123 conf/cdc/2002 db/conf/cdc/cdc2002.html#TyukinLPT02 Nikita E. Barabanov Danil V. Prokhorov Global stability analysis of discrete-time recurrent neural networks. 4550-4555 2001 ACC https://doi.org/10.1109/ACC.2001.945696 conf/amcc/2001 db/conf/amcc/acc2001.html#BarabanovP01

Arthur Petrosian Danil V. Prokhorov Richard Homan Richard Dasheiff Donald C. Wunsch II Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG. 201-218 2000 30 Neurocomputing 1-4 https://doi.org/10.1016/S0925-2312(99)00126-5 https://www.wikidata.org/entity/Q60162598 db/journals/ijon/ijon30.html#PetrosianPHDW00

Paul H. Eaton Danil V. Prokhorov Donald C. Wunsch II Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction. 423-435 2000 11 IEEE Trans. Neural Networks Learn. Syst. 2 https://doi.org/10.1109/72.839012 https://www.wikidata.org/entity/Q51894430 db/journals/tnn/tnn11.html#EatonPW00

Valeri A. Terekhov Ivan Yu. Tyukin Danil V. Prokhorov Adaptive control on manifolds with RBF neural networks. 3831-3836 2000 CDC https://doi.org/10.1109/CDC.2000.912309 conf/cdc/2000 db/conf/cdc/cdc2000.html#TerekhovTP00 Danil V. Prokhorov Lee A. Feldkamp Application of SVM to Lyapunov function approximation. 383-387 1999 IJCNN https://doi.org/10.1109/IJCNN.1999.831524 conf/ijcnn/1999 db/conf/ijcnn/ijcnn1999.html#ProkhorovF99

Emad W. Saad Danil V. Prokhorov Donald C. Wunsch II Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks. 1456-1470 1998 9 IEEE Trans. Neural Networks 6 https://doi.org/10.1109/72.728395 https://www.wikidata.org/entity/Q34747020 db/journals/tnn/tnn9.html#SaadPW98

Danil V. Prokhorov Lee A. Feldkamp Analyzing for Lyapunov stability with adaptive critics. 1658-1661 1998 SMC https://doi.org/10.1109/ICSMC.1998.728128 conf/smc/1998 db/conf/smc/smc1998.html#ProkhorovF98

Danil V. Prokhorov Donald C. Wunsch II Adaptive critic designs. 997-1007 1997 8 IEEE Trans. Neural Networks 5 https://doi.org/10.1109/72.623201 https://www.wikidata.org/entity/Q52196801 db/journals/tnn/tnn8.html#ProkhorovW97

Wang Song Shaowei Xia Jianchang Mao Anil K. Jain 0001 Danil V. Prokhorov Donald C. Wunsch II Comments on "A self-organizing network for hyperellipsoidal clustering (HEC)" [and reply]. 1561-1563 1997 8 IEEE Trans. Neural Networks 6 https://doi.org/10.1109/72.641479 https://www.wikidata.org/entity/Q52279270 db/journals/tnn/tnn8.html#SongXMJPW97

Danil V. Prokhorov Donald C. Wunsch Corrections To "Adaptive Critic Designs". 1563 1997 8 IEEE Trans. Neural Networks 6 https://doi.org/10.1109/TNN.1997.641481 https://www.wikidata.org/entity/Q80648374 db/journals/tnn/tnn8.html#ProkhorovW97a

Raonak Zaman Danil V. Prokhorov Donald C. Wunsch II Adaptive critic design in learning to play game of Go. 1-4 1997 ICNN https://doi.org/10.1109/ICNN.1997.611623 conf/icnn/1997 db/conf/icnn/icnn1997.html#ZamanPW97 Danil V. Prokhorov Lee A. Feldkamp Primitive adaptive critics. 2263-2267 1997 ICNN https://doi.org/10.1109/ICNN.1997.614396 conf/icnn/1997 db/conf/icnn/icnn1997.html#ProkhorovF97 Lee A. Feldkamp Gintaras V. Puskorius Danil V. Prokhorov Unified formulation for training recurrent networks with derivative adaptive critics. 2268-2272 1997 ICNN https://doi.org/10.1109/ICNN.1997.614397 conf/icnn/1997 db/conf/icnn/icnn1997.html#FeldkampPP97 Emad W. Saad Danil V. Prokhorov Donald C. Wunsch II Advanced neural network training methods for low false alarm stock trend prediction. 2021-2026 1996 ICNN https://doi.org/10.1109/ICNN.1996.549212 conf/icnn/1996 db/conf/icnn/icnn1996.html#SaadPW96

Danil V. Prokhorov Roberto A. Santiago Donald C. Wunsch II Adaptive critic designs: A case study for neurocontrol. 1367-1372 1995 8 Neural Networks 9 https://doi.org/10.1016/0893-6080(95)00042-9 db/journals/nn/nn8.html#ProkhorovSW95

Hong Tan Danil V. Prokhorov Donald C. Wunsch Conservative thirty calendar day stock prediction using a probabilistic neural network. 113-117 1995 CIFEr https://doi.org/10.1109/CIFER.1995.495262 conf/cifer/1995 db/conf/cifer/cifer1995.html#TanPW95 Eduardo Alonso 0001 Jacob Anderson Konstantin V. Anokhin Takeshi Baba Marco Baglietto Nikita Barabanov Nikita E. Barabanov David Barragan-Alcantar Alexander Bastounis Lubica Benusková Horst Bischof Mitchell Black 0001 Erik Blasch Ivo Bukovsky Mikhail Burtsev 0001Mikhail S. Burtsev Xindi Cai Tianping Chen Yi-Ting Chen 0001 Zhe Chen 0013 Shunsuke Chigusa Kihoon Choi Sung Woo Choi Sungwoo Choi Richard Dasheiff Yuji Date Matthew Derry Jyotirmoy V. DeshmukhJyotirmoy Deshmukh Shuai Di Prashant Doshi Charles F. Eagen Paul H. Eaton Georgios Fainekos Michael Fairbank Heng Fan 0001 Lee A. Feldkamp Timothy M. Feldkamp Dimitar P. Filev Emilio Frazzoli Jian Fu Jie Fu 0002 Umesh Gandhi Michael A. Gennert Alexander N. Gorban Stephen Green 0001 Saeid R. Habibi Fredric M. Ham Anders C. Hansen Navid Hashemi Haibo He Tom Heskes Desmond J. Higham Richard Homan Zhibin Hong William Howell Bardh Hoxha Han-Kai Hsu Xiao Hu Jie Huang 0001 Kazushi Ikeda Hisahiro Ito Anil K. Jain 0001 Michael R. James 0001Michael James 0001 Zhengping Ji He Jiang 0004 Taylor T. Johnson Steven F. Kalik Yusuke Kanzawa James Kapinski Fakhri Karray Rhee Man Kil Hideyuki Kimpara Anuradha Kodali Morteza Lahijanian Haitao Lang Christian Laugier Kuan-Hui Lee Cees van Leeuwen Robert Legenstein Daniel S. Levine 0001 Frank L. Lewis Chun-Guang Li Hepeng Li Jun Li 0010 Shuhui Li Zhi Li 0004 Pengpeng Liang Chunyuan Liao Haibin Ling Xiaokang Liu 0001Xiao-Kang Liu 0001 Jinhu Lü 0001Jinhu Lu 0001 Yunqian Ma Malik Magdon-Ismail Keyvan Majd Alexander I. Manolov Jianchang Mao Kenechukwu C. Mbanisi Xue Mei Yan Miao Eugenij Moiseevich Mirkes Sayan Mitra 0001 Dhafar S. Mohammed Oleg P. Mosalov Naoki Nagasaka Setu Madhavi Namburu Valentin A. Nepomnyashchikh Zhen Ni Tomoki Nishi Hideki Okamoto Bunyo Okumura Dimitra Panagou Thomas Parisini Hardik Parwana Krishna R. Pattipati Michael G. Paulin Xi Peng 0001 Arthur Petrosian Robi Polikar Marios M. Polycarpou Gintaras V. Puskorius Liu Qiao Xin Qin Vladimir G. Red'ko Ilya V. Romanenko Emad W. Saad Katsuhiro Sakai Spyridon Samothrakis Sriram Sankaranarayanan 0001 Roberto A. Santiago Johann Schumann S. C. Sean Ling Shao 0001 Jifeng Shen John W. Sheppard Satnam Singh Konstantin I. Sofeikov Wang Song Yongduan SongYong-Duan Song Yuyang Song Christoph Stiller Oliver J. Sutton Hong Tan Dacheng Tao Valeri A. Terekhov Valery A. Terekhov Hoang-Dung Tran Mohan M. Trivedi Karen L. Troy Yi-Hsuan Tsai Sadayuki Tsugawa Cumhur Erkan Tuncali Ivan TyukinIvan Yu. Tyukin Yasuo Uehara Zhiqiang Wan Chaohui Wang Jing Wang Kandai Watanabe Marco A. Wiering Samuel Williams Yi Wu 0001 Donald C. Wunsch IIDonald C. Wunsch Shaowei Xia Xin Xu 0001 Shakiba Yaghoubi Tomoya Yamaguchi 0001Tom Yamaguchi 0001 Fan Yang 0035 Ming-Hsuan Yang 0001 Wankou Yang Xiaodong Yang Jingyi Yu 0001 Sijia Yu Chengzhi Yuan Raonak Zaman Vicente Zarzoso Honggang Zhang 0002 Lei Zhang 0036 Dongbin Zhao Guangyu Zhong Xiangnan Zhong Qinghua Zhou Wangmeng Zuo Xin Zuo