Ashwin Srinivasan
Ashwin Srinivasan
Senior Professor, Computer Science, BITS-Pilani, Goa
E-mail megerősítve itt: wolfson.oxon.org
Hivatkozott rá
Hivatkozott rá
The aleph manual
A Srinivasan
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
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
The predictive toxicology challenge 2000–2001
C Helma, RD King, S Kramer, A Srinivasan
Bioinformatics 17 (1), 107-108, 2001
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
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
ILP turns 20: biography and future challenges
S Muggleton, L De Raedt, D Poole, I Bratko, P Flach, K Inoue, ...
Machine learning 86, 3-23, 2012
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
Carcinogenesis predictions using ILP
A Srinivasan, RD King, SH Muggleton, MJE Sternberg
International Conference on Inductive Logic Programming, 273-287, 1997
Pharmacophore discovery using the inductive logic programming system Progol
P Finn, S Muggleton, D Page, A Srinivasan
Machine Learning 30, 241-270, 1998
Relating chemical activity to structure: an examination of ILP successes
RD King, MJE Sternberg, A Srinivasan
New Generation Computing 13, 411-433, 1995
The predictive toxicology evaluation challenge
A Srinivasan, RD King, SH Muggleton, MJE Sternberg
IJCAI (1), 4-9, 1997
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
A review of some techniques for inclusion of domain-knowledge into deep neural networks
T Dash, S Chitlangia, A Ahuja, A Srinivasan
Scientific Reports 12 (1), 1040, 2022
Warmr: a data mining tool for chemical data
RD King, A Srinivasan, L Dehaspe
Journal of Computer-Aided Molecular Design 15, 173-181, 2001
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
The aleph manual (2001)
A Srinivasan
URL http://www. comlab. ox. ac. uk/activities/machinelearning/Aleph 69, 2018
Compression, significance and accuracy
S Muggleton, A Srinivasan, M Bain
Machine Learning Proceedings 1992, 338-347, 1992
Multi-instance tree learning
H Blockeel, D Page, A Srinivasan
Proceedings of the 22nd international conference on Machine learning, 57-64, 2005
Note on the location of optimal classifiers in n-dimensional ROC space
A Srinivasan
Technical Report PRG-TR-2-99, Oxford University Computing Laboratory, Oxford …, 1999
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