| Fitness-distance-ratio based particle swarm optimization T Peram, K Veeramachaneni, CK Mohan Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No …, 2003 | 632 | 2003 |
| Opentuner: An extensible framework for program autotuning J Ansel, S Kamil, K Veeramachaneni, J Ragan-Kelley, J Bosboom, ... Proceedings of the 23rd international conference on Parallel architectures …, 2014 | 552 | 2014 |
| Deep feature synthesis: Towards automating data science endeavors JM Kanter, K Veeramachaneni 2015 IEEE international conference on data science and advanced analytics …, 2015 | 351 | 2015 |
| AI^ 2: training a big data machine to defend K Veeramachaneni, I Arnaldo, V Korrapati, C Bassias, K Li 2016 IEEE 2nd international conference on big data security on cloud …, 2016 | 290 | 2016 |
| Modeling tabular data using conditional gan L Xu, M Skoularidou, A Cuesta-Infante, K Veeramachaneni Advances in Neural Information Processing Systems 32, 2019 | 287 | 2019 |
| Optimization using particle swarms with near neighbor interactions K Veeramachaneni, T Peram, C Mohan, L Osadciw Genetic and Evolutionary Computation—GECCO 2003, 200-200, 2003 | 224 | 2003 |
| The synthetic data vault N Patki, R Wedge, K Veeramachaneni 2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016 | 205 | 2016 |
| An adaptive multimodal biometric management algorithm K Veeramachaneni, LA Osadciw, PK Varshney IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2005 | 178 | 2005 |
| Likely to stop? predicting stopout in massive open online courses C Taylor, K Veeramachaneni, UM O'Reilly arXiv preprint arXiv:1408.3382, 2014 | 162 | 2014 |
| Autotuning algorithmic choice for input sensitivity Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ... ACM SIGPLAN Notices 50 (6), 379-390, 2015 | 130 | 2015 |
| Synthesizing tabular data using generative adversarial networks L Xu, K Veeramachaneni arXiv preprint arXiv:1811.11264, 2018 | 109 | 2018 |
| Distributed, multi-model, self-learning platform for machine learning WD Drevo, KK Veeramachaneni, U O'reilly US Patent App. 14/598,628, 2016 | 107 | 2016 |
| Transfer learning for predictive models in massive open online courses S Boyer, K Veeramachaneni International conference on artificial intelligence in education, 54-63, 2015 | 100 | 2015 |
| ATM: A distributed, collaborative, scalable system for automated machine learning T Swearingen, W Drevo, B Cyphers, A Cuesta-Infante, A Ross, ... 2017 IEEE international conference on big data (big data), 151-162, 2017 | 98 | 2017 |
| SteganoGAN: High capacity image steganography with GANs KA Zhang, A Cuesta-Infante, L Xu, K Veeramachaneni arXiv preprint arXiv:1901.03892, 2019 | 88* | 2019 |
| Moocdb: Developing standards and systems to support mooc data science K Veeramachaneni, S Halawa, F Dernoncourt, UM O'Reilly, C Taylor, ... arXiv preprint arXiv:1406.2015, 2014 | 83* | 2014 |
| Atmseer: Increasing transparency and controllability in automated machine learning Q Wang, Y Ming, Z Jin, Q Shen, D Liu, MJ Smith, K Veeramachaneni, ... Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 75 | 2019 |
| DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction Y Chen, Q Chen, M Zhao, S Boyer, K Veeramachaneni, H Qu 2016 IEEE Conference on Visual Analytics Science and Technology (VAST), 111-120, 2016 | 75 | 2016 |
| Probabilistically driven particle swarms for optimization of multi valued discrete problems: Design and analysis K Veeramachaneni, L Osadciw, G Kamath 2007 IEEE Swarm Intelligence Symposium, 141-149, 2007 | 75 | 2007 |
| Building predictive models via feature synthesis I Arnaldo, UM O'Reilly, K Veeramachaneni Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015 | 72 | 2015 |
Una-May O'ReillyMIT, CSAIL, Any Scale Learning for All (ALFA) GroupVerified email at csail.mit.edu
