The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
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]


Search in 0.046secs, Finished in 0.050secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002