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Publication search results
found 34 matches
- 2021
- Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell:
Feedback in Imitation Learning: The Three Regimes of Covariate Shift. CoRR abs/2102.02872 (2021) - 2020
- Arunkumar N., P. Mohamed Shakeel, Venkatraman V.:
Automatic identification of acute arthritis from ayurvedic wrist pulses. Int. J. Comput. Aided Eng. Technol. 12(1): 68-73 (2020) - S. Venkatraman, B. Surendiran, P. Arun Raj Kumar:
Spam e-mail classification for the Internet of Things environment using semantic similarity approach. J. Supercomput. 76(2): 756-776 (2020) - 2019
- Venkatraman Subbarayalu, B. Surendiran, P. Arun Raj Kumar:
Hybrid Network Intrusion Detection System for Smart Environments Based on Internet of Things. Comput. J. 62(12): 1822-1839 (2019) - S. Venkatraman, P. Arun Raj Kumar:
Improving Adhoc wireless sensor networks security using distributed automaton. Clust. Comput. 22(6): 14551-14557 (2019) - 2018
- Enas W. Abdulhay, Arunkumar N., Kumaravelu Narasimhan, Elamaran Vellaiappan, Venkatraman V.:
Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease. Future Gener. Comput. Syst. 83: 366-373 (2018) - Enas W. Abdulhay, Mazin Abed Mohammed, Dheyaa Ahmed Ibrahim, Arunkumar N., Venkatraman V.:
Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images. J. Medical Syst. 42(4): 58:1-58:12 (2018) - Douglas J. Morrice, Jonathan F. Bard, Harshit Mehta, Swarup Sahoo, Natesh B. Arunachalam, Prashanth Venkatraman:
Using simulation to Design a Worklife Integrated Practice Unit. WSC 2018: 2624-2635 - 2017
- Arun Venkatraman:
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning. Carnegie Mellon University, USA, 2017 - Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell:
Autonomy infused teleoperation with application to brain computer interface controlled manipulation. Auton. Robots 41(6): 1401-1422 (2017) - Arunkumar N., Kannan Ramkumar, Venkatraman V., Enas W. Abdulhay, Steven Lawrence Fernandes, Seifedine Nimer Kadry, Sophia Segal:
Classification of focal and non focal EEG using entropies. Pattern Recognit. Lett. 94: 112-117 (2017) - Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Gradient Boosting on Stochastic Data Streams. AISTATS 2017: 595-603 - Venkatraman Govindaraju, Sam Idicula, Sandeep R. Agrawal, Venkatanathan Vardarajan, Arun Raghavan, Jarod Wen, Cagri Balkesen, Georgios Giannikis, Nipun Agarwal, Eric Sedlar:
Big Data Processing: Scalability with Extreme Single-Node Performance. BigData Congress 2017: 129-136 - Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. ICML 2017: 3309-3318 - Sandeep R. Agrawal, Sam Idicula, Arun Raghavan, Evangelos Vlachos, Venkatraman Govindaraju, Venkatanathan Varadarajan, Cagri Balkesen, Georgios Giannikis, Charlie Roth, Nipun Agarwal, Eric Sedlar:
A many-core architecture for in-memory data processing. MICRO 2017: 245-258 - Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS 2017: 1172-1183 - Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Gradient Boosting on Stochastic Data Streams. CoRR abs/1703.00377 (2017) - Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. CoRR abs/1703.01030 (2017) - Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR abs/1709.08520 (2017) - 2016
- Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots:
Online Instrumental Variable Regression with Applications to Online Linear System Identification. AAAI 2016: 2101-2107 - Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell:
Learning to Filter with Predictive State Inference Machines. ICML 2016: 1197-1205 - Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell:
Inference Machines for Nonparametric Filter Learning. IJCAI 2016: 2074-2081 - Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi, J. Andrew Bagnell:
Improved Learning of Dynamics Models for Control. ISER 2016: 703-713 - 2015
- Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Improving Multi-Step Prediction of Learned Time Series Models. AAAI 2015: 3024-3030 - Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell:
Autonomy Infused Teleoperation with Application to BCI Manipulation. Robotics: Science and Systems 2015 - Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell:
Autonomy Infused Teleoperation with Application to BCI Manipulation. CoRR abs/1503.05451 (2015) - Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell:
Learning to Filter with Predictive State Inference Machines. CoRR abs/1512.08836 (2015) - 2014
- Dov Katz, Arun Venkatraman, Moslem Kazemi, J. Andrew Bagnell, Anthony Stentz:
Perceiving, learning, and exploiting object affordances for autonomous pile manipulation. Auton. Robots 37(4): 369-382 (2014) - 2013
- Dov Katz, Arun Venkatraman, Moslem Kazemi, Drew Bagnell, Anthony Stentz:
Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation. Robotics: Science and Systems 2013 - 2010
- Hüseyin Tanriverdi, Arun Rai, N. Venkatraman:
Research Commentary - Reframing the Dominant Quests of Information Systems Strategy Research for Complex Adaptive Business Systems. Inf. Syst. Res. 21(4): 822-834 (2010)
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