| Knowledge acquisition via incremental conceptual clustering DH Fisher Machine learning 2 (2), 139-172, 1987 | 3411 | 1987 |
| Models of incremental concept formation JH Gennari, P Langley, D Fisher Artificial intelligence 40 (1-3), 11-61, 1989 | 1172 | 1989 |
| Machine learning approaches to estimating software development effort K Srinivasan, D Fisher IEEE Transactions on Software Engineering 21 (2), 126-137, 1995 | 741 | 1995 |
| Wrapping a MOOC: Student perceptions of an experiment in blended learning DO Bruff, DH Fisher, KE McEwen, BE Smith Journal of Online Learning and Teaching 9 (2), 187, 2013 | 575 | 2013 |
| A case study of incremental concept induction JC Schlimmer, D Fisher AAAI 86, 496-501, 1986 | 535 | 1986 |
| Iterative Optimization and Simplification of Hierarchical Clusterings D Fisher Journal of Artificial Intelligence Research 4, 147-178, 1996 | 358 | 1996 |
| An empirical comparison of ID3 and back-propagation DH Fisher, KB McKusick IJCAI 89, 788-793, 1989 | 278 | 1989 |
| Improving inference through conceptual clustering D Fisher Proceedings of the sixth National conference on Artificial intelligence …, 1987 | 272 | 1987 |
| Approaches to conceptual clustering D Fisher, P Langley | 190 | 1985 |
| Concept formation: Knowledge and experience in unsupervised learning DH Fisher, MJ Pazzani, P Langley Morgan Kaufmann, 2014 | 182 | 2014 |
| Computational sustainability: Computing for a better world and a sustainable future C Gomes, T Dietterich, C Barrett, J Conrad, B Dilkina, S Ermon, F Fang, ... Communications of the ACM 62 (9), 56-65, 2019 | 172 | 2019 |
| Conceptual clustering and its relation to numerical taxonomy D Fisher, P Langley Artificial intelligence and statistics, 77-116, 1986 | 136 | 1986 |
| ITERATE: A conceptual clustering algorithm for data mining G Biswas, JB Weinberg, DH Fisher IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2002 | 130 | 2002 |
| Using AI to evaluate creative designs ML Maher, DH Fisher DS 73-1 Proceedings of the 2nd International Conference on Design Creativity …, 2012 | 128 | 2012 |
| Overcoming process delays with decision tree induction B Evans, D Fisher IEEE expert 9 (1), 60-66, 1994 | 115 | 1994 |
| Ordering effects in clustering D Fisher, L Xu, N Zard Machine Learning Proceedings 1992, 163-168, 1992 | 109 | 1992 |
| Learning from data: artificial intelligence and statistics V D Fisher, HJ Lenz Springer Science & Business Media, 1996 | 105 | 1996 |
| Data-intensive evaluation of design creativity using novelty, value, and surprise K Grace, ML Maher, D Fisher, K Brady International Journal of Design Creativity and Innovation 3 (3-4), 125-147, 2015 | 95 | 2015 |
| Modeling decision tree performance with the power law LJ Frey, DH Fisher Seventh international workshop on artificial intelligence and statistics, 1999 | 87 | 1999 |
| Conceptual clustering, learning from examples, and inference DH FISHER Proceedings of the Fourth International Workshop on Machine Learning, 38-49, 1987 | 85 | 1987 |
Pat LangleyPrincipal Research Scientist, Georgia Tech Research Institute; Director, ISLEVerified email at gtri.gatech.edu
