| Regularities in data from factorial experiments X Li, N Sudarsanam, DD Frey Complexity 11 (5), 32-45, 2006 | 122 | 2006 |
| Thresholding bandits with augmented ucb S Mukherjee, KP Naveen, N Sudarsanam, B Ravindran arXiv preprint arXiv:1704.02281, 2017 | 21 | 2017 |
| An adaptive one-factor-at-a-time method for robust parameter design: Comparison with crossed arrays via case studies DD Frey, N Sudarsanam | 15 | 2008 |
| Efficient-ucbv: An almost optimal algorithm using variance estimates S Mukherjee, KP Naveen, N Sudarsanam, B Ravindran Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 8 | 2018 |
| Rate of change analysis for interestingness measures N Sudarsanam, N Kumar, A Sharma, B Ravindran Knowledge and Information Systems 62 (1), 239-258, 2020 | 6 | 2020 |
| An adaptive one-factor-at-a-time method for robust parameter design: comparison with crossed arrays via case studies DD Frey, N Sudarsanam, JB Persons International Design Engineering Technical Conferences and Computers and …, 2006 | 6 | 2006 |
| Improved insights on financial health through partially constrained hidden markov model clustering on loan repayment data DJ Philip, N Sudarsanam, B Ravindran ACM SIGMIS Database: the DATABASE for Advances in Information Systems 49 (3 …, 2018 | 5 | 2018 |
| Using linear stochastic bandits to extend traditional offline designed experiments to online settings N Sudarsanam, B Ravindran Computers & Industrial Engineering 115, 471-485, 2018 | 4 | 2018 |
| Using ensemble techniques to advance adaptive one‐factor‐at‐a‐time experimentation N Sudarsanam, DD Frey Quality and Reliability Engineering International 27 (7), 947-957, 2011 | 4 | 2011 |
| Linear Bandit algorithms using the Bootstrap N Sudarsanam, B Ravindran arXiv preprint arXiv:1605.01185, 2016 | 3 | 2016 |
| Impact of COVID-19 pandemic on road safety in Tamil Nadu, India K Paramasivan, N Sudarsanam International journal of injury control and safety promotion 29 (2), 265-277, 2022 | 2 | 2022 |
| Optimal replicates for designed experiments under the online framework N Sudarsanam, B Pitchai Kannu, DD Frey Research in Engineering Design 30 (3), 363-379, 2019 | 2 | 2019 |
| Quantifying and predicting prepayments in the microfinance environment N Sudarsanam, DJ Philip NSE-IFMR Finance Foundation Financial Deepening and Household Finance …, 2016 | 2 | 2016 |
| An Active Learning Framework for Efficient Robust Policy Search SK Narayanaswami, N Sudarsanam, B Ravindran 5th Joint International Conference on Data Science & Management of Data (9th …, 2022 | 1 | 2022 |
| A partial parameter HMM based clustering on loan repayment data: Insights into financial behavior and intent to repay D Philip, N Sudarsanam, B Ravindran Proceedings of the 51st Hawaii International Conference on System Sciences, 2018 | 1 | 2018 |
| Quantifying the maximum possible improvement in 2 k experiments N Sudarsanam, A Kumar, DD Frey Research in Engineering Design, 1-18, 2022 | | 2022 |
| Relationship between mobility and road traffic injuries during COVID-19 pandemic—The role of attendant factors K Paramasivan, R Subburaj, VM Sharma, N Sudarsanam PloS one 17 (5), e0268190, 2022 | | 2022 |
| A Decision-Making Framework for Entrepreneurial Venture in Emerging Economies SB Kumar, N Sudarsanam International Journal of Global Business and Competitiveness, 1-13, 2022 | | 2022 |
| Crime registration and distress calls during COVID-19: two sides of the coin K Paramasivan, N Sudarsanam, S Vellaichamy, KK Norris, R Subburaj Policing and Society, 1-22, 2022 | | 2022 |
| Designing Dynamic Interventions to Improve Adherence in Pediatric Long-Term Treatment–The Role of Perceived Value of the Physician by Primary Caregivers K Venkatraman, V Vijayalakshmi, N Sudarsanam, A Manoharan Health Communication 36 (14), 1825-1840, 2021 | | 2021 |
Daniel FreyProfessor of Mechanical Engineering, MITVerified email at mit.edu
