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Author:
Ashwin Srinivasan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. James Cussens, Anthony Hunter, Ashwin Srinivasan
    Generating Explicit Orderings for Non-monotonic Logics. [Citation Graph (0, 0)][DBLP]
    AAAI, 1993, pp:420-425 [Conf]
  2. Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg
    Biochemical Knowledge Discovery Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:326-341 [Conf]
  3. Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan
    Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study. [Citation Graph (0, 0)][DBLP]
    ECML, 2000, pp:300-312 [Conf]
  4. Hendrik Blockeel, David Page, Ashwin Srinivasan
    Multi-instance tree learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:57-64 [Conf]
  5. Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan
    Learning Chomsky-like Grammars for Biological Sequence Families. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:631-638 [Conf]
  6. Stephen Muggleton, Ashwin Srinivasan, Michael Bain
    Compression, Significance, and Accuracy. [Citation Graph (0, 0)][DBLP]
    ML, 1992, pp:338-347 [Conf]
  7. Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan Whiteley, David Gavaghan
    Discovering the Structure of Partial Differential Equations from Example Behaviour. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:991-998 [Conf]
  8. Ashwin Srinivasan, Ross D. King, Douglas W. Bristol
    An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:270-275 [Conf]
  9. Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
    The Predictive Toxicology Evaluation Challenge. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:4-9 [Conf]
  10. Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho
    A Note on Two Simple Transformations for Improving the Efficiency of an ILP System. [Citation Graph (0, 0)][DBLP]
    ILP, 2000, pp:225-242 [Conf]
  11. Ashwin Srinivasan
    The Applicability to ILP of Results Concerning the Ordering of Binomial Populations. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:238-253 [Conf]
  12. Ashwin Srinivasan
    Five Problems in Five Areas for Five Years. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:424-425 [Conf]
  13. Ashwin Srinivasan
    Application of ILP to Problems in Chemistry and Biology (Abstract). [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:10- [Conf]
  14. Ashwin Srinivasan, Ravi Kothari
    A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:348-365 [Conf]
  15. Ashwin Srinivasan, Ross D. King
    Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural Attributes. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:89-104 [Conf]
  16. Ashwin Srinivasan, Ross D. King, Douglas W. Bristol
    An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:291-302 [Conf]
  17. Stephen Muggleton, David Page, Ashwin Srinivasan
    An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:25-40 [Conf]
  18. Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
    Carcinogenesis Predictions Using ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:273-287 [Conf]
  19. Filip Zelezný, Ashwin Srinivasan, David Page
    Lattice-Search Runtime Distributions May Be Heavy-Tailed. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:333-345 [Conf]
  20. Filip Zelezný, Ashwin Srinivasan, David Page
    A Monte Carlo Study of Randomised Restarted Search in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2004, pp:341-358 [Conf]
  21. Michael Bain, Ashwin Srinivasan
    Inductive Logic Programming With Large-Scale Unstructured Data. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 14, 1993, pp:235-0 [Conf]
  22. Ashwin Srinivasan, Stephen Muggleton, Michael Bain
    The Justification of Logical Theories based on Data Compression. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 13, 1994, pp:87-121 [Conf]
  23. Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen Muggleton
    Drug Design by Machine Learning. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 15, 1995, pp:328-338 [Conf]
  24. Ashwin Srinivasan, Stephen Muggleton, Michael J. E. Sternberg, Ross D. King
    Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:85, n:1-2, pp:277-299 [Journal]
  25. Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan
    The Predictive Toxicology Challenge 2000-2001. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:1, pp:107-108 [Journal]
  26. Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma
    Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:10, pp:1183-1193 [Journal]
  27. Ashwin Srinivasan
    A Study of Two Sampling Methods for Analyzing Large Datasets with ILP. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 1999, v:3, n:1, pp:95-123 [Journal]
  28. Ashwin Srinivasan, Ross D. King
    Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 1999, v:3, n:1, pp:37-57 [Journal]
  29. Steve Moyle, Ashwin Srinivasan
    Classificatory challenge-data mining: a recipe. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2001, v:25, n:3, pp:- [Journal]
  30. Ross D. King, Ashwin Srinivasan
    The discovery of indicator variables for QSAR using inductive logic programming. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 1997, v:11, n:6, pp:571-580 [Journal]
  31. Ross D. King, Ashwin Srinivasan
    The discovery of indicator variables for QSAR using inductive logic programming. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 1998, v:12, n:6, pp:571-580 [Journal]
  32. Ross D. King, Ashwin Srinivasan, Luc Dehaspe
    Warmr: a data mining tool for chemical data. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 2001, v:15, n:2, pp:173-181 [Journal]
  33. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2001, v:8, n:5, pp:493-521 [Journal]
  34. Ashwin Srinivasan, Rui Camacho
    Numerical Reasoning with an ILP System Capable of Lazy Evaluation and Customised Search. [Citation Graph (0, 0)][DBLP]
    J. Log. Program., 1999, v:40, n:2-3, pp:185-213 [Journal]
  35. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:465-491 [Journal]
  36. David Page, Ashwin Srinivasan
    ILP: A Short Look Back and a Longer Look Forward. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:415-430 [Journal]
  37. Ashwin Srinivasan, Ross D. King, Michael Bain
    An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:369-383 [Journal]
  38. Paul W. Finn, Stephen Muggleton, David Page, Ashwin Srinivasan
    Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:30, n:2-3, pp:241-270 [Journal]
  39. Ashwin Srinivasan
    Extracting Context-Sensitive Models in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:44, n:3, pp:301-324 [Journal]
  40. Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.
    Randomised restarted search in ILP. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:183-208 [Journal]
  41. Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King
    Quantitative pharmacophore models with inductive logic programming. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:65-90 [Journal]
  42. Rui Camacho, Ross D. King, Ashwin Srinivasan
    Guest editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:145-147 [Journal]
  43. Ross D. King, Michael J. E. Sternberg, Ashwin Srinivasan
    Relating Chemical Activity to Structure: An Examination of ILP Successes. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1995, v:13, n:3&4, pp:411-433 [Journal]
  44. Simon M. Garrett, George Macleod Coghill, Ashwin Srinivasan, Ross D. King
    Learning Qualitative Models of Physical and Biological Systems. [Citation Graph (0, 0)][DBLP]
    Computational Discovery of Scientific Knowledge, 2007, pp:248-272 [Conf]
  45. Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes
    Word Sense Disambiguation Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:409-423 [Conf]
  46. Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan
    ILP Through Propositionalization and Stochastic k-Term DNF Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:379-393 [Conf]

  47. Using ILP to Construct Features for Information Extraction from Semi-structured Text. [Citation Graph (, )][DBLP]


  48. Feature Construction Using Theory-Guided Sampling and Randomised Search. [Citation Graph (, )][DBLP]


  49. Parameter Screening and Optimisation for ILP Using Designed Experiments. [Citation Graph (, )][DBLP]


  50. Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM). [Citation Graph (, )][DBLP]


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