Year |
Citation |
Score |
2020 |
Shah A, Ganesan R, Jajodia S, Samarati P, Cam H. Adaptive Alert Management for Balancing Optimal Performance among Distributed CSOCs using Reinforcement Learning Ieee Transactions On Parallel and Distributed Systems. 31: 16-33. DOI: 10.1109/Tpds.2019.2927977 |
0.33 |
|
2019 |
Shah A, Ganesan R, Jajodia S, Cam H. A Two-Step Approach to Optimal Selection of Alerts for Investigation in a CSOC Ieee Transactions On Information Forensics and Security. 14: 1857-1870. DOI: 10.1109/Tifs.2018.2886465 |
0.352 |
|
2019 |
Shah A, Ganesan R, Jajodia S, Cam H. Understanding Tradeoffs Between Throughput, Quality, and Cost of Alert Analysis in a CSOC Ieee Transactions On Information Forensics and Security. 14: 1155-1170. DOI: 10.1109/Tifs.2018.2871744 |
0.378 |
|
2019 |
Shah A, Ganesan R, Jajodia S. A methodology for ensuring fair allocation of CSOC effort for alert investigation International Journal of Information Security. 18: 199-218. DOI: 10.1007/S10207-018-0407-3 |
0.336 |
|
2018 |
Shah A, Ganesan R, Jajodia S, Cam H. Dynamic Optimization of the Level of Operational Effectiveness of a CSOC Under Adverse Conditions Acm Transactions On Intelligent Systems and Technology. 9: 1-20. DOI: 10.1145/3173457 |
0.341 |
|
2018 |
Karuna P, Purohit H, Ganesan R, Jajodia S. Generating Hard to Comprehend Fake Documents for Defensive Cyber Deception Ieee Intelligent Systems. 33: 16-25. DOI: 10.1109/Mis.2018.2877277 |
0.315 |
|
2017 |
Ganesan R, Jajodia S, Cam H. Optimal Scheduling of Cybersecurity Analysts for Minimizing Risk Acm Transactions On Intelligent Systems and Technology. 8: 1-32. DOI: 10.1145/2914795 |
0.314 |
|
2017 |
Shah A, Ganesan R, Jajodia S, Cam H. A methodology to measure and monitor level of operational effectiveness of a CSOC International Journal of Information Security. 17: 121-134. DOI: 10.1007/S10207-017-0365-1 |
0.338 |
|
2016 |
Ganesan R, Jajodia S, Shah A, Cam H. Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning Acm Transactions On Intelligent Systems and Technology. 8: 1-21. DOI: 10.1145/2882969 |
0.324 |
|
2015 |
Stimpson D, Ganesan R. A reinforcement learning approach to convoy scheduling on a contested transportation network Optimization Letters. 9: 1641-1657. DOI: 10.1007/S11590-015-0875-6 |
0.313 |
|
2010 |
Balakrishna P, Ganesan R, Sherry L. Accuracy of reinforcement learning algorithms for predicting aircraft taxi-out times: A case-study of Tampa Bay departures Transportation Research Part C: Emerging Technologies. 18: 950-962. DOI: 10.1016/J.Trc.2010.03.003 |
0.303 |
|
2010 |
Ganesan R, Balakrishna P, Sherry L. Improving quality of prediction in highly dynamic environments using approximate dynamic programming Quality and Reliability Engineering International. 26: 717-732. DOI: 10.1002/Qre.1127 |
0.319 |
|
2008 |
Balakrishna P, Ganesan R, Sherry L. Airport taxi-out prediction using approximate dynamic programming: Intelligence-based paradigm Transportation Research Record. 54-61. DOI: 10.3141/2052-07 |
0.314 |
|
2008 |
Ganesan R, Rao ANV, Das TK. A Multiscale Bayesian SPRT Approach for Online Process Monitoring Ieee Transactions On Semiconductor Manufacturing. 21: 399-412. DOI: 10.1109/Tsm.2008.2001217 |
0.546 |
|
2008 |
Ganesan R. Real-time monitoring of complex sensor data using wavelet-based multiresolution analysis International Journal of Advanced Manufacturing Technology. 39: 543-558. DOI: 10.1007/S00170-007-1237-Z |
0.399 |
|
2007 |
Ganesan R, Das TK, Ramachandran KM. A Multiresolution Analysis-Assisted Reinforcement Learning Approach to Run-by-Run Control Ieee Transactions On Automation Science and Engineering. 4: 182-193. DOI: 10.1109/Tase.2006.879915 |
0.493 |
|
2005 |
Das TK, Ganesan R, Sikder AK, Kumar A. Online end point detection in CMP using SPRT of wavelet decomposed sensor data Ieee Transactions On Semiconductor Manufacturing. 18: 440-447. DOI: 10.1109/Tsm.2005.852085 |
0.522 |
|
2004 |
Ganesan R, Das TK, Edwards C, Okogbaa OG. Challenges in enhancing science education in elementary classrooms through university-school district partnerships Frontiers in Education. 192-196. DOI: 10.1109/Fie.2004.1408493 |
0.405 |
|
2004 |
Ganesan R, Das TK, Venkataraman V. Wavelet-based multiscale statistical process monitoring: A literature review Iie Transactions (Institute of Industrial Engineers). 36: 787-806. DOI: 10.1080/07408170490473060 |
0.522 |
|
2003 |
Ganesan R, Das T, Sikder A, Kumar A. Wavelet-based identification of delamination defect in cmp (cu-low k) using nonstationary acoustic emission signal Ieee Transactions On Semiconductor Manufacturing. 16: 677-685. DOI: 10.1109/Tsm.2003.818975 |
0.517 |
|
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