| A short introduction to boosting Y Freund, R Schapire, N Abe Journal-Japanese Society For Artificial Intelligence 14 (771-780), 1612, 1999 | 5389 | 1999 |
| Cost-sensitive learning by cost-proportionate example weighting B Zadrozny, J Langford, N Abe Third IEEE international conference on data mining, 435-442, 2003 | 922 | 2003 |
| Query learning strategies using boosting and bagging NAH Mamitsuka Machine learning: proceedings of the fifteenth international conference …, 1998 | 590* | 1998 |
| Outlier detection by active learning N Abe, B Zadrozny, J Langford Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 494 | 2006 |
| Temporal causal modeling with graphical granger methods A Arnold, Y Liu, N Abe Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 400 | 2007 |
| Unintrusive customization techniques for web advertising M Langheinrich, A Nakamura, N Abe, T Kamba, Y Koseki Computer Networks 31 (11-16), 1259-1272, 1999 | 317 | 1999 |
| Generalizing case frames using a thesaurus and the MDL principle H Li, N Abe arXiv preprint cmp-lg/9507011, 1995 | 280 | 1995 |
| On the computational complexity of approximating distributions by probabilistic automata N Abe, MK Warmuth Machine learning 9, 205-260, 1992 | 248 | 1992 |
| Collaborative filtering using weighted majority prediction algorithms A Nakamura, N Abe Proceedings of the 15th International Conference on Machine Learning, 395-403, 1998 | 245 | 1998 |
| System and method for sequential decision making for customer relationship management N Abe, EPD Pednault US Patent 7,403,904, 2008 | 216 | 2008 |
| A parameterized probabilistic model of network evolution for supervised link prediction H Kashima, N Abe Sixth International Conference on Data Mining (ICDM'06), 340-349, 2006 | 211 | 2006 |
| Grouped graphical Granger modeling for gene expression regulatory networks discovery AC Lozano, N Abe, Y Liu, S Rosset Bioinformatics 25 (12), i110-i118, 2009 | 209 | 2009 |
| An iterative method for multi-class cost-sensitive learning N Abe, B Zadrozny, J Langford Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 204 | 2004 |
| Associative reinforcement learning using linear probabilistic concepts N Abe, PM Long ICML, 3-11, 1999 | 158 | 1999 |
| Spatial-temporal causal modeling for climate change attribution AC Lozano, H Li, A Niculescu-Mizil, Y Liu, C Perlich, J Hosking, N Abe Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 147 | 2009 |
| Optimizing debt collections using constrained reinforcement learning N Abe, P Melville, C Pendus, CK Reddy, DL Jensen, VP Thomas, ... Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 134 | 2010 |
| Grouped orthogonal matching pursuit for variable selection and prediction G Swirszcz, N Abe, AC Lozano Advances in Neural Information Processing Systems 22, 2009 | 133 | 2009 |
| Reinforcement learning with immediate rewards and linear hypotheses N Abe, AW Biermann, PM Long Algorithmica 37, 263-293, 2003 | 125 | 2003 |
| Word clustering and disambiguation based on co-occurrence data H Li, N Abe arXiv preprint cmp-lg/9807004, 1998 | 119 | 1998 |
| Banner advertisement selecting method A Nakamura, N Abe US Patent 6,591,248, 2003 | 108 | 2003 |
