2008 |
49 | EE | Sachindra Joshi,
Ganesh Ramakrishnan,
Ashwin Srinivasan:
Feature Construction Using Theory-Guided Sampling and Randomised Search.
ILP 2008: 140-157 |
2007 |
48 | EE | Simon M. Garrett,
George Macleod Coghill,
Ashwin Srinivasan,
Ross D. King:
Learning Qualitative Models of Physical and Biological Systems.
Computational Discovery of Scientific Knowledge 2007: 248-272 |
47 | EE | Ganesh Ramakrishnan,
Sachindra Joshi,
Sreeram Balakrishnan,
Ashwin Srinivasan:
Using ILP to Construct Features for Information Extraction from Semi-structured Text.
ILP 2007: 211-224 |
2006 |
46 | EE | Aline Paes,
Filip Zelezný,
Gerson Zaverucha,
C. David Page Jr.,
Ashwin Srinivasan:
ILP Through Propositionalization and Stochastic k-Term DNF Learning.
ILP 2006: 379-393 |
45 | EE | Lucia Specia,
Ashwin Srinivasan,
Ganesh Ramakrishnan,
Maria das Graças Volpe Nunes:
Word Sense Disambiguation Using Inductive Logic Programming.
ILP 2006: 409-423 |
44 | EE | Rui Camacho,
Ross D. King,
Ashwin Srinivasan:
Guest editorial.
Machine Learning 64(1-3): 145-147 (2006) |
43 | EE | Filip Zelezný,
Ashwin Srinivasan,
C. David Page Jr.:
Randomised restarted search in ILP.
Machine Learning 64(1-3): 183-208 (2006) |
42 | EE | Ashwin Srinivasan,
David Page,
Rui Camacho,
Ross D. King:
Quantitative pharmacophore models with inductive logic programming.
Machine Learning 64(1-3): 65-90 (2006) |
2005 |
41 | EE | Hendrik Blockeel,
David Page,
Ashwin Srinivasan:
Multi-instance tree learning.
ICML 2005: 57-64 |
40 | EE | Ashwin Srinivasan,
Ravi Kothari:
A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space.
ILP 2005: 348-365 |
39 | EE | Ashwin Srinivasan:
Five Problems in Five Areas for Five Years.
ILP 2005: 424-425 |
2004 |
38 | | Rui Camacho,
Ross D. King,
Ashwin Srinivasan:
Inductive Logic Programming, 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004, Proceedings
Springer 2004 |
37 | EE | Filip Zelezný,
Ashwin Srinivasan,
David Page:
A Monte Carlo Study of Randomised Restarted Search in ILP.
ILP 2004: 341-358 |
2003 |
36 | | Hannu Toivonen,
Ashwin Srinivasan,
Ross D. King,
Stefan Kramer,
Christoph Helma:
Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001.
Bioinformatics 19(10): 1183-1193 (2003) |
35 | EE | Ashwin Srinivasan,
Ross D. King,
Michael Bain:
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming.
Journal of Machine Learning Research 4: 369-383 (2003) |
34 | EE | David Page,
Ashwin Srinivasan:
ILP: A Short Look Back and a Longer Look Forward.
Journal of Machine Learning Research 4: 415-430 (2003) |
33 | EE | Vítor Santos Costa,
Ashwin Srinivasan,
Rui Camacho,
Hendrik Blockeel,
Bart Demoen,
Gerda Janssens,
Jan Struyf,
Henk Vandecasteele,
Wim Van Laer:
Query Transformations for Improving the Efficiency of ILP Systems.
Journal of Machine Learning Research 4: 465-491 (2003) |
2002 |
32 | EE | Ashwin Srinivasan:
The Applicability to ILP of Results Concerning the Ordering of Binomial Populations.
ILP 2002: 238-253 |
31 | EE | Filip Zelezný,
Ashwin Srinivasan,
David Page:
Lattice-Search Runtime Distributions May Be Heavy-Tailed.
ILP 2002: 333-345 |
2001 |
30 | | Christoph Helma,
Ross D. King,
Stefan Kramer,
Ashwin Srinivasan:
The Predictive Toxicology Challenge 2000-2001.
Bioinformatics 17(1): 107-108 (2001) |
29 | | Steve Moyle,
Ashwin Srinivasan:
Classificatory challenge-data mining: a recipe.
Informatica (Slovenia) 25(3): (2001) |
28 | | Stephen Muggleton,
Christopher H. Bryant,
Ashwin Srinivasan,
Alex Whittaker,
Simon Topp,
Christopher J. Rawlings:
Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study.
Journal of Computational Biology 8(5): 493-521 (2001) |
27 | EE | Ross D. King,
Ashwin Srinivasan,
Luc Dehaspe:
Warmr: a data mining tool for chemical data.
Journal of Computer-Aided Molecular Design 15(2): 173-181 (2001) |
26 | | Ashwin Srinivasan:
Extracting Context-Sensitive Models in Inductive Logic Programming.
Machine Learning 44(3): 301-324 (2001) |
2000 |
25 | EE | Stephen Muggleton,
Christopher H. Bryant,
Ashwin Srinivasan:
Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study.
ECML 2000: 300-312 |
24 | | Stephen Muggleton,
Christopher H. Bryant,
Ashwin Srinivasan:
Learning Chomsky-like Grammars for Biological Sequence Families.
ICML 2000: 631-638 |
23 | | Ljupco Todorovski,
Saso Dzeroski,
Ashwin Srinivasan,
Jonathan Whiteley,
David Gavaghan:
Discovering the Structure of Partial Differential Equations from Example Behaviour.
ICML 2000: 991-998 |
22 | EE | Vítor Santos Costa,
Ashwin Srinivasan,
Rui Camacho:
A Note on Two Simple Transformations for Improving the Efficiency of an ILP System.
ILP 2000: 225-242 |
1999 |
21 | | Ashwin Srinivasan,
Ross D. King,
Douglas W. Bristol:
An assessment of submissions made to the Predictive Toxicology Evaluation Challenge.
IJCAI 1999: 270-275 |
20 | EE | Ashwin Srinivasan,
Ross D. King,
Douglas W. Bristol:
An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment.
ILP 1999: 291-302 |
19 | | Ashwin Srinivasan,
Ross D. King:
Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes.
Data Min. Knowl. Discov. 3(1): 37-57 (1999) |
18 | | Ashwin Srinivasan:
A Study of Two Sampling Methods for Analyzing Large Datasets with ILP.
Data Min. Knowl. Discov. 3(1): 95-123 (1999) |
17 | | Ashwin Srinivasan,
Rui Camacho:
Numerical Reasoning with an ILP System Capable of Lazy Evaluation and Customised Search.
J. Log. Program. 40(2-3): 185-213 (1999) |
1998 |
16 | EE | Stephen Muggleton,
Ashwin Srinivasan,
Ross D. King,
Michael J. E. Sternberg:
Biochemical Knowledge Discovery Using Inductive Logic Programming.
Discovery Science 1998: 326-341 |
15 | | Ashwin Srinivasan:
Application of ILP to Problems in Chemistry and Biology (Abstract).
ILP 1998: 10 |
14 | EE | Ross D. King,
Ashwin Srinivasan:
The discovery of indicator variables for QSAR using inductive logic programming.
Journal of Computer-Aided Molecular Design 12(6): 571-580 (1998) |
13 | | Paul W. Finn,
Stephen Muggleton,
David Page,
Ashwin Srinivasan:
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL.
Machine Learning 30(2-3): 241-270 (1998) |
1997 |
12 | | Ashwin Srinivasan,
Ross D. King,
Stephen Muggleton,
Michael J. E. Sternberg:
The Predictive Toxicology Evaluation Challenge.
IJCAI (1) 1997: 4-9 |
11 | | Ashwin Srinivasan,
Ross D. King,
Stephen Muggleton,
Michael J. E. Sternberg:
Carcinogenesis Predictions Using ILP.
ILP 1997: 273-287 |
10 | EE | Ross D. King,
Ashwin Srinivasan:
The discovery of indicator variables for QSAR using inductive logic programming.
Journal of Computer-Aided Molecular Design 11(6): 571-580 (1997) |
1996 |
9 | | Stephen Muggleton,
David Page,
Ashwin Srinivasan:
An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming.
Inductive Logic Programming Workshop 1996: 25-40 |
8 | | Ashwin Srinivasan,
Ross D. King:
Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural Attributes.
Inductive Logic Programming Workshop 1996: 89-104 |
7 | EE | Ashwin Srinivasan,
Stephen Muggleton,
Michael J. E. Sternberg,
Ross D. King:
Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction.
Artif. Intell. 85(1-2): 277-299 (1996) |
1995 |
6 | | Michael J. E. Sternberg,
Ross D. King,
Ashwin Srinivasan,
Stephen Muggleton:
Drug Design by Machine Learning.
Machine Intelligence 15 1995: 328-338 |
5 | | Ross D. King,
Michael J. E. Sternberg,
Ashwin Srinivasan:
Relating Chemical Activity to Structure: An Examination of ILP Successes.
New Generation Comput. 13(3&4): 411-433 (1995) |
1994 |
4 | | Ashwin Srinivasan,
Stephen Muggleton,
Michael Bain:
The Justification of Logical Theories based on Data Compression.
Machine Intelligence 13 1994: 87-121 |
1993 |
3 | | James Cussens,
Anthony Hunter,
Ashwin Srinivasan:
Generating Explicit Orderings for Non-monotonic Logics.
AAAI 1993: 420-425 |
2 | | Michael Bain,
Ashwin Srinivasan:
Inductive Logic Programming With Large-Scale Unstructured Data.
Machine Intelligence 14 1993: 235- |
1992 |
1 | | Stephen Muggleton,
Ashwin Srinivasan,
Michael Bain:
Compression, Significance, and Accuracy.
ML 1992: 338-347 |