| Inductive programming meets the real world S Gulwani, J Hernández-Orallo, E Kitzelmann, SH Muggleton, U Schmid, ... Communications of the ACM 58 (11), 90-99, 2015 | 136 | 2015 |
| Inductive synthesis of functional programs: An explanation based generalization approach. E Kitzelmann, U Schmid, R Olsson, LP Kaelbling Journal of Machine Learning Research 7 (2), 2006 | 106 | 2006 |
| Metaphors and heuristic-driven theory projection (HDTP) H Gust, KU Kühnberger, U Schmid Theoretical Computer Science 354 (1), 98-117, 2006 | 89 | 2006 |
| Learning recursive control programs from problem solving. P Langley, D Choi, R Olsson, U Schmid Journal of Machine Learning Research 7 (3), 2006 | 77 | 2006 |
| Who should test whom? S McDonald, HM Edwards Communications of the ACM 50 (1), 66-71, 2007 | 73* | 2007 |
| Inductive rule learning on the knowledge level U Schmid, E Kitzelmann Cognitive Systems Research 12 (3-4), 237-248, 2011 | 63 | 2011 |
| Ultra-strong machine learning: comprehensibility of programs learned with ILP SH Muggleton, U Schmid, C Zeller, A Tamaddoni-Nezhad, T Besold Machine Learning 107 (7), 1119-1140, 2018 | 54 | 2018 |
| Computer models solving intelligence test problems: Progress and implications J Hernández-Orallo, F Martínez-Plumed, U Schmid, M Siebers, DL Dowe Artificial Intelligence 230, 74-107, 2016 | 51 | 2016 |
| Inductive synthesis of functional programs: universal planning, folding of finite programs, and schema abstraction by analogical reasoning U Schmid Springer Science & Business Media, 2003 | 48 | 2003 |
| Induction of recursive program schemes U Schmid, F Wysotzki European Conference on Machine Learning, 214-225, 1998 | 47 | 1998 |
| The challenge of complexity for cognitive systems U Schmid, M Ragni, C Gonzalez, J Funke Cognitive Systems Research 12 (3-4), 211-218, 2011 | 41 | 2011 |
| An algebraic framework for solving proportional and predictive analogies U Schmid, H Gust, KU Kühnberger, J Burghardt Proceedings of the European Conference on Cognitive Science, 295-300, 2019 | 40 | 2019 |
| Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. A Passerini, P Frasconi, L De Raedt, R Olsson, U Schmid Journal of Machine Learning Research 7 (2), 2006 | 39 | 2006 |
| Particle swarm optimization T Zeugmann, P Poupart, J Kennedy, X Jin, J Han, L Saitta, M Sebag, ... Encyclopedia of machine learning, 760-766, 2011 | 36 | 2011 |
| How does predicate invention affect human comprehensibility? U Schmid, C Zeller, T Besold, A Tamaddoni-Nezhad, S Muggleton International Conference on Inductive Logic Programming, 52-67, 2016 | 34 | 2016 |
| An introduction to inductive programming P Flener, U Schmid Artificial Intelligence Review 29 (1), 45-62, 2008 | 33 | 2008 |
| Applying Inductive Program Synthesis to Macro Learning. U Schmid, F Wysotzki AIPS, 371-378, 2000 | 32 | 2000 |
| Kognitive Modellierung: eine Einführung in logische und algorithmische Grundlagen U Schmid, MC Kindsmüller | 32 | 1996 |
| Reference frames for spatial inference in text understanding B Claus, K Eyferth, C Gips, R Hörnig, U Schmid, S Wiebrock, F Wysotzki Spatial Cognition, 241-266, 1998 | 31 | 1998 |
| A unifying framework for analysis and evaluation of inductive programming systems M Hofmann, E Kitzelmann, U Schmid Proceedings of the 2nd Conference on Artificiel General Intelligence (2009 …, 2009 | 30 | 2009 |
