Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.

E. Soares, P. Angelov, B. Costa, M. Castro, S. Nageshrao, and D. Filev. IEEE Trans. Fuzzy Syst., 29 (8): 2399-2407 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Subramanya Hegde

Other publications of authors with the same name

Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters.M. Mazouchi, S. Nageshrao, and H. Modares. CoRR, (2021)Actor-critic reinforcement learning for tracking control in robotics.Y. Pane, S. Nageshrao, and R. Babuska. CDC, page 5819-5826. IEEE, (2016)Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration.S. Zhang, H. Peng, S. Nageshrao, and H. Tseng. ICMLA, page 844-850. IEEE, (2019)An Online Evolving Method For a Safe and Fast Automated Vehicle Control System.T. Han, S. Nageshrao, D. Filev, K. Redmill, and Ü. Özgüner. IEEE Trans. Syst. Man Cybern. Syst., 52 (9): 5723-5735 (2022)Model-based real-time control of a magnetic manipulator system.J. Damsteeg, S. Nageshrao, and R. Babuska. CDC, page 3277-3282. IEEE, (2017)Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles.S. Zhang, H. Peng, S. Nageshrao, and H. Tseng. CVPR Workshops, page 1341-1347. Computer Vision Foundation / IEEE, (2020)Interpretable Reinforcement Learning for Robotics and Continuous Control.R. Paleja, L. Chen, Y. Niu, A. Silva, Z. Li, S. Zhang, C. Ritchie, S. Choi, K. Chang, H. Tseng and 3 other author(s). CoRR, (2023)Robust AI Driving Strategy for Autonomous Vehicles.S. Nageshrao, Y. Rahman, V. Ivanovic, M. Jankovic, H. Tseng, M. Hafner, and D. Filev. CoRR, (2022)Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.E. Soares, P. Angelov, B. Costa, M. Castro, S. Nageshrao, and D. Filev. IEEE Trans. Fuzzy Syst., 29 (8): 2399-2407 (2021)Online learning algorithms: For passivity-based and distributed control.S. Nageshrao. Delft University of Technology, Netherlands, (2016)base-search.net (fttudelft:oai:tudelft.nl:uuid:9f3a2496-7851-40f6-a947-102080bdd5fd).

BibSonomy

Disambiguation of "Nageshrao, Subramanya"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.

Please choose a person to relate this publication to

Subramanya Hegde

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nageshrao, Subramanya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.

Please choose a person to relate this publication to

Subramanya Hegde

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.