| 2024 | IROS | CBFkit: A Control Barrier Function Toolbox for Robotics Applications. | Mitchell Black, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov |
| 2023 | ICANN | The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. | Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou |
| 2023 | ICRA | Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions. | Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Dimitra Panagou |
| 2023 | RV | Pattern Matching for Perception Streams. | Jacob Anderson, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov |
| 2021 | IROS | Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions. | Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos |
| 2020 | EMSOFT | Application of Simulation-Based Methods on Autonomous Vehicle Control with Deep Neural Network: Work-in-Progress. | Yuji Date, Takeshi Baba, Bardh Hoxha, Tomoya Yamaguchi, Danil V. Prokhorov |
| 2020 | MEMOCODE | Specification-guided Software Fault Localization for Autonomous Mobile Systems. | Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Jyotirmoy V. Deshmukh |
| 2019 | ICCAD | Learning Deep Neural Network Controllers for Dynamical Systems with Safety Guarantees: Invited Paper. | Jyotirmoy V. Deshmukh, James Kapinski, Tomoya Yamaguchi, Danil V. Prokhorov |
| 2019 | IJCNN | Toward Next Generation of Autonomous Systems with AI. | Danil V. Prokhorov |
| 2018 | IJCNN | Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. | Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green |
| 2017 | CVPR | RGB-D Scene Labeling with Multimodal Recurrent Neural Networks. | Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling |
| 2016 | VEHITS | Toward Highly Intelligent Automobiles. | Danil V. Prokhorov |
| 2015 | CVPR | MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking. | Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil V. Prokhorov, Dacheng Tao |
| 2014 | ACCV | Blur-Resilient Tracking Using Group Sparsity. | Pengpeng Liang, Yi Wu, Xue Mei, Jingyi Yu, Erik Blasch, Danil V. Prokhorov, Chunyuan Liao, Haitao Lang, Haibin Ling |
| 2014 | ECCV | Tracking Using Multilevel Quantizations. | Zhibin Hong, Chaohui Wang, Xue Mei, Danil V. Prokhorov, Dacheng Tao |
| 2014 | IJCCI | Computational Intelligence in Automotive R & D. | Danil V. Prokhorov |
| 2014 | IJCNN | Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion. | Konstantin I. Sofeikov, Ivan Tyukin, Alexander N. Gorban, Eugenij Moiseevich Mirkes, Danil V. Prokhorov, Ilya V. Romanenko |
| 2013 | ICCV | Tracking via Robust Multi-task Multi-view Joint Sparse Representation. | Zhibin Hong, Xue Mei, Danil V. Prokhorov, Dacheng Tao |
| 2013 | IJCNN | Robust controller design of continuous-time nonlinear system using neural network. | Xiangnan Zhong, Haibo He, Danil V. Prokhorov |
| 2012 | IJCNN | Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. | Zhen Ni, Haibo He, Dongbin Zhao, Danil V. Prokhorov |
| 2011 | IJCNN | An online actor-critic learning approach with Levenberg-Marquardt algorithm. | Zhen Ni, Haibo He, Danil V. Prokhorov, Jian Fu |
| 2010 | CEC | Multi-agent framework for remote diagnostics. | Danil V. Prokhorov |
| 2009 | CVPR | Object recognition in 3D lidar data with recurrent neural network. | Danil V. Prokhorov |
| 2008 | FUSION | Radar-vision fusion for object classification. | Zhengping Ji, Danil V. Prokhorov |
| 2008 | IJCNN | Adaptive parameter robust estimation. | Dhafar S. Mohammed, Saeid R. Habibi, Danil V. Prokhorov |
| 2007 | ICINCO | Prius control with a hybrid method. | Danil V. Prokhorov |
| 2007 | IJCNN | Toyota Prius HEV neurocontrol. | Danil V. Prokhorov |
| 2007 | SMC | Dynamic fusion of classifiers for fault diagnosis. | Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishna R. Pattipati, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao |
| 2006 | IJCNN | Feedback Neurocontrol of a Disease. | Danil V. Prokhorov |
| 2005 | ICANN | Investigation of Evolving Populations of Adaptive Agents. | Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov |
| 2005 | IJCNN | Echo state networks: appeal and challenges. | Danil V. Prokhorov |
| 2005 | IJCNN | A model of Baldwin effect in populations of self-learning agents. | Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov |
| 2004 | IJCNN | Multiple-start directed search for improved NN solution. | Lee A. Feldkamp, Danil V. Prokhorov, Charles F. Eagen |
| 2004 | IJCNN | Theory of functional systems, adaptive critics and neural networks. | Vladimir G. Red'ko, Danil V. Prokhorov, Mikhail S. Burtsev |
| 2003 | IJCNN | Conditioned adaptive behavior from Kalman filter trained recurrent networks. | Lee A. Feldkamp, Danil V. Prokhorov, Timothy M. Feldkamp |
| 1999 | IJCNN | Application of SVM to Lyapunov function approximation. | Danil V. Prokhorov, Lee A. Feldkamp |
| 1998 | SMC | Analyzing for Lyapunov stability with adaptive critics. | Danil V. Prokhorov, Lee A. Feldkamp |