| More than words: Quantifying language to measure firms' fundamentals PC Tetlock, M Saar‐Tsechansky, S Macskassy The journal of finance 63 (3), 1437-1467, 2008 | 2342 | 2008 |
| Handling missing values when applying classification models M Saar-Tsechansky, F Provost Journal of Machine Learning Research, 2007 | 431 | 2007 |
| Active sampling for class probability estimation and ranking M Saar-Tsechansky, F Provost Machine learning 54 (2), 153-178, 2004 | 249 | 2004 |
| Active feature-value acquisition M Saar-Tsechansky, P Melville, F Provost Management Science 55 (4), 664-684, 2009 | 128 | 2009 |
| Active feature-value acquisition for classifier induction P Melville, M Saar-Tsechansky, F Provost, R Mooney Fourth IEEE International Conference on Data Mining (ICDM'04), 483-486, 2004 | 104 | 2004 |
| A reinforcement learning approach to autonomous decision-making in smart electricity markets M Peters, W Ketter, M Saar-Tsechansky, J Collins Machine learning 92 (1), 5-39, 2013 | 99 | 2013 |
| Active learning for probability estimation using Jensen-Shannon divergence P Melville, SM Yang, M Saar-Tsechansky, R Mooney European conference on machine learning, 268-279, 2005 | 85 | 2005 |
| Dj-mc: A reinforcement-learning agent for music playlist recommendation E Liebman, M Saar-Tsechansky, P Stone arXiv preprint arXiv:1401.1880, 2014 | 78 | 2014 |
| An expected utility approach to active feature-value acquisition P Melville, M Saar-Tsechansky, F Provost, R Mooney Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005 | 78 | 2005 |
| Decision-centric active learning of binary-outcome models M Saar-Tsechansky, F Provost Information systems research 18 (1), 4-22, 2007 | 56 | 2007 |
| Economical active feature-value acquisition through expected utility estimation P Melville, F Provost, M Saar-Tsechansky, R Mooney Proceedings of the 1st international workshop on Utility-based data mining …, 2005 | 48 | 2005 |
| Information systems for a smart electricity grid: Emerging challenges and opportunities W Ketter, J Collins, M Saar-Tsechansky, O Marom ACM Transactions on Management Information Systems (TMIS) 9 (3), 1-22, 2018 | 36 | 2018 |
| Adaptive mechanism design: a metalearning approach D Pardoe, P Stone, M Saar-Tsechansky, K Tomak Proceedings of the 8th international conference on Electronic commerce: The …, 2006 | 34 | 2006 |
| The right music at the right time: Adaptive personalized playlists based on sequence modeling. E Liebman, M Saar-Tsechansky, P Stone MIS Quarterly 43 (3), 2019 | 33 | 2019 |
| Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce F Provost, P Melville, M Saar-Tsechansky Proceedings of the ninth international conference on Electronic commerce …, 2007 | 32 | 2007 |
| Using retweets when shaping our online persona: Topic modeling approach H Geva, G Oestreicher-Singer, M Saar-Tsechansky MIS Quarterly 43 (2), 501-524, 2019 | 31 | 2019 |
| Guest editorial: special issue on utility-based data mining GM Weiss, B Zadrozny, M Saar-Tsechansky Data Mining and Knowledge Discovery 17 (2), 129, 2008 | 28 | 2008 |
| Editor’s comments: The business of business data science in IS journals M Saar-Tsechansky | 21 | 2015 |
| Adaptive auction mechanism design and the incorporation of prior knowledge D Pardoe, P Stone, M Saar-Tsechansky, T Keskin, K Tomak INFORMS Journal on Computing 22 (3), 353-370, 2010 | 21 | 2010 |
| Selective data acquisition for machine learning J Attenberg, P Melville, F Provost, M Saar-Tsechansky Cost-sensitive machine learning, 101, 2011 | 17 | 2011 |
