| The aleph manual A Srinivasan | 481 | 2001 |
| Theories for mutagenicity: A study in first-order and feature-based induction A Srinivasan, SH Muggleton, MJE Sternberg, RD King Artificial Intelligence 85 (1-2), 277-299, 1996 | 431 | 1996 |
| Structure-activity relationships derived by machine learning: The use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming RD King, SH Muggleton, A Srinivasan, MJ Sternberg Proceedings of the National Academy of Sciences 93 (1), 438-442, 1996 | 318 | 1996 |
| Mutagenesis: ILP experiments in a non-determinate biological domain A Srinivasan, S Muggleton, RD King, MJE Sternberg Proceedings of the 4th international workshop on inductive logic programming …, 1994 | 236 | 1994 |
| The predictive toxicology challenge 2000–2001 C Helma, RD King, S Kramer, A Srinivasan Bioinformatics 17 (1), 107-108, 2001 | 176 | 2001 |
| PEIRS: a pathologist-maintained expert system for the interpretation of chemical pathology reports G Edwards, R Malor, A Srinivasan, L Lazarus, P Compton Pathology 25 (1), 27-34, 1993 | 170 | 1993 |
| Pharmacophore discovery using the inductive logic programming system Progol P Finn, S Muggleton, D Page, A Srinivasan Machine Learning 30 (2-3), 241-270, 1998 | 168 | 1998 |
| Carcinogenesis predictions using ILP A Srinivasan, RD King, SH Muggleton, MJE Sternberg International Conference on Inductive Logic Programming, 273-287, 1997 | 167 | 1997 |
| Relating chemical activity to structure: an examination of ILP successes RD King, MJE Sternberg, A Srinivasan New Generation Computing 13 (3-4), 411-433, 1995 | 160 | 1995 |
| The predictive toxicology evaluation challenge A Srinivasan, RD King, SH Muggleton, MJE Sternberg IJCAI (1), 4-9, 1997 | 152 | 1997 |
| ILP turns 20 S Muggleton, L De Raedt, D Poole, I Bratko, P Flach, K Inoue, ... Machine learning 86 (1), 3-23, 2012 | 136 | 2012 |
| Statistical evaluation of the predictive toxicology challenge 2000–2001 H Toivonen, A Srinivasan, RD King, S Kramer, C Helma Bioinformatics 19 (10), 1183-1193, 2003 | 135 | 2003 |
| Ripple down rules: Turning knowledge acquisition into knowledge maintenance P Compton, G Edwards, B Kang, L Lazarus, R Malor, P Preston, ... Artificial Intelligence in Medicine 4 (6), 463-475, 1992 | 117 | 1992 |
| Warmr: a data mining tool for chemical data RD King, A Srinivasan, L Dehaspe Journal of Computer-Aided Molecular Design 15 (2), 173-181, 2001 | 110 | 2001 |
| Comparing the use of background knowledge by inductive logic programming systems A Srinivasan, S Muggleton, RD King Proceedings of the 5th International Workshop on Inductive Logic Programming …, 1995 | 108 | 1995 |
| Compression, significance and accuracy S Muggleton, A Srinivasan, M Bain Machine Learning Proceedings 1992, 338-347, 1992 | 105 | 1992 |
| Note on the location of optimal classifiers in n-dimensional ROC space A Srinivasan | 104 | 1999 |
| Query transformations for improving the efficiency of ILP systems VS Costa, A Srinivasan, R Camacho, H Blockeel, B Demoen, G Janssens, ... Journal of Machine Learning Research 4 (Aug), 465-491, 2003 | 97 | 2003 |
| Multi-instance tree learning H Blockeel, D Page, A Srinivasan Proceedings of the 22nd international conference on Machine learning, 57-64, 2005 | 95 | 2005 |
| To the international computing community: A new East-West challenge D Michie, S Muggleton, D Page, A Srinivasan Technical report, Oxford University Computing laboratory, Oxford, UK, 1994 | 94 | 1994 |
