| Multitask learning R Caruana Machine learning 28, 41-75, 1997 | 10588 | 1997 |
| An empirical comparison of supervised learning algorithms R Caruana, A Niculescu-Mizil Proceedings of the 23rd international conference on Machine learning, 161-168, 2006 | 3972 | 2006 |
| Model compression C Buciluǎ, R Caruana, A Niculescu-Mizil Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 3108 | 2006 |
| Do deep nets really need to be deep? J Ba, R Caruana Advances in neural information processing systems 27, 2014 | 2700 | 2014 |
| Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission R Caruana, Y Lou, J Gehrke, P Koch, M Sturm, N Elhadad Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 2215 | 2015 |
| Predicting good probabilities with supervised learning A Niculescu-Mizil, R Caruana Proceedings of the 22nd international conference on Machine learning, 625-632, 2005 | 2018 | 2005 |
| Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping R Caruana, S Lawrence, C Giles Advances in neural information processing systems 13, 2000 | 1662 | 2000 |
| A study of control parameters affecting online performance of genetic algorithms for function optimization JD Schaffer, R Caruana, LJ Eshelman, R Das Proceedings of the 3rd international conference on genetic algorithms, 51-60, 1989 | 1539 | 1989 |
| Ensemble selection from libraries of models R Caruana, A Niculescu-Mizil, G Crew, A Ksikes Proceedings of the twenty-first international conference on Machine learning, 18, 2004 | 1174 | 2004 |
| Greedy attribute selection R Caruana, D Freitag Machine Learning Proceedings 1994, 28-36, 1994 | 875 | 1994 |
| Removing the genetics from the standard genetic algorithm S Baluja, R Caruana Machine Learning Proceedings 1995, 38-46, 1995 | 868 | 1995 |
| An empirical evaluation of supervised learning in high dimensions R Caruana, N Karampatziakis, A Yessenalina Proceedings of the 25th international conference on Machine learning, 96-103, 2008 | 773 | 2008 |
| Biases in the crossover landscape LJ Eshelman, RA Caruana, JD Schaffer Proceedings of the third international conference on Genetic algorithms, 10-19, 1989 | 705 | 1989 |
| Intelligible models for classification and regression Y Lou, R Caruana, J Gehrke Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 677 | 2012 |
| Accurate intelligible models with pairwise interactions Y Lou, R Caruana, J Gehrke, G Hooker Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 670 | 2013 |
| Experience with a learning personal assistant TM Mitchell, R Caruana, D Freitag, J McDermott, D Zabowski Communications of the ACM 37 (7), 80-91, 1994 | 662 | 1994 |
| Self-optimizing memory controllers: A reinforcement learning approach E Ipek, O Mutlu, JF Martínez, R Caruana ACM SIGARCH Computer Architecture News 36 (3), 39-50, 2008 | 653 | 2008 |
| Interpretml: A unified framework for machine learning interpretability H Nori, S Jenkins, P Koch, R Caruana arXiv preprint arXiv:1909.09223, 2019 | 626 | 2019 |
| Interpreting interpretability: understanding data scientists' use of interpretability tools for machine learning H Kaur, H Nori, S Jenkins, R Caruana, H Wallach, J Wortman Vaughan Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 610 | 2020 |
| Neural additive models: Interpretable machine learning with neural nets R Agarwal, L Melnick, N Frosst, X Zhang, B Lengerich, R Caruana, ... Advances in neural information processing systems 34, 4699-4711, 2021 | 501 | 2021 |
Alexandru Niculescu-MizilNEC Laboratories America在 nec-labs.com 的电子邮件经过验证
