| Decision trees for uplift modeling with single and multiple treatments P Rzepakowski, S Jaroszewicz Knowledge and Information Systems 32, 303-327, 2012 | 243 | 2012 |
| Efficient AUC optimization for classification T Calders, S Jaroszewicz European conference on principles of data mining and knowledge discovery, 42-53, 2007 | 210 | 2007 |
| Uplift modeling for clinical trial data M Jaskowski, S Jaroszewicz ICML workshop on clinical data analysis 46, 79-95, 2012 | 196 | 2012 |
| Interestingness of frequent itemsets using bayesian networks as background knowledge S Jaroszewicz, DA Simovici Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 167 | 2004 |
| Github projects. quality analysis of open-source software O Jarczyk, B Gruszka, S Jaroszewicz, L Bukowski, A Wierzbicki Social Informatics: 6th International Conference, SocInfo 2014, Barcelona …, 2014 | 124 | 2014 |
| Decision trees for uplift modeling P Rzepakowski, S Jaroszewicz 2010 IEEE International Conference on Data Mining, 441-450, 2010 | 109 | 2010 |
| Ensemble methods for uplift modeling M Sołtys, S Jaroszewicz, P Rzepakowski Data mining and knowledge discovery 29, 1531-1559, 2015 | 105 | 2015 |
| An axiomatization of partition entropy DA Simovici, S Jaroszewicz IEEE Transactions on Information Theory 48 (7), 2138-2142, 2002 | 97 | 2002 |
| Pruning redundant association rules using maximum entropy principle S Jaroszewicz, DA Simovici Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference …, 2002 | 89 | 2002 |
| Mining rank-correlated sets of numerical attributes T Calders, B Goethals, S Jaroszewicz Proceedings of the 12th ACM SIGKDD international conference on knowledge …, 2006 | 77 | 2006 |
| Support vector machines for uplift modeling Ł Zaniewicz, S Jaroszewicz 2013 IEEE 13th International Conference on Data Mining Workshops, 131-138, 2013 | 73 | 2013 |
| Response transformation and profit decomposition for revenue uplift modeling RM Gubela, S Lessmann, S Jaroszewicz European Journal of Operational Research 283 (2), 647-661, 2020 | 71 | 2020 |
| A general measure of rule interestingness S Jaroszewicz, DA Simovici Principles of Data Mining and Knowledge Discovery: 5th European Conference …, 2001 | 69 | 2001 |
| Fast discovery of unexpected patterns in data, relative to a bayesian network S Jaroszewicz, T Scheffer Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 68 | 2005 |
| Uplift modeling in direct marketing P Rzepakowski, S Jaroszewicz Journal of telecommunications and information technology, 43-50, 2012 | 64 | 2012 |
| Surgical teams on GitHub: Modeling performance of GitHub project development processes O Jarczyk, S Jaroszewicz, A Wierzbicki, K Pawlak, M Jankowski-Lorek Information and Software Technology 100, 32-46, 2018 | 50 | 2018 |
| Linear regression for uplift modeling K Rudaś, S Jaroszewicz Data Mining and Knowledge Discovery 32, 1275-1305, 2018 | 45 | 2018 |
| Scalable pattern mining with Bayesian networks as background knowledge S Jaroszewicz, T Scheffer, DA Simovici Data Mining and Knowledge Discovery 18, 56-100, 2009 | 39 | 2009 |
| Arithmetic operations on independent random variables: a numerical approach S Jaroszewicz, M Korzeń SIAM Journal on Scientific Computing 34 (3), A1241-A1265, 2012 | 38 | 2012 |
| Generalized conditional entropy and decision trees DA Simovici, S Jaroszewicz Revue d'intelligence artificielle 17 (1-3), 369-380, 2003 | 37 | 2003 |
Dan SimoviciProfessor of Computer Science, University of MassachusettsEmail yang diverifikasi di cs.umb.edu
