Ashwin Srinivasan

Stephen Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan: ILP turns 20 - Biography and future challenges. Machine Learning 86(1): 3-23 (2012)

Ashwin Srinivasan, Tanveer A. Faruquie, Sachindra Joshi: Data and task parallelism in ILP using MapReduce. Machine Learning 86(1): 141-168 (2012)

Ashwin Srinivasan, Michael Bain: Knowledge-Guided Identification of Petri Net Models of Large Biological Systems. ILP 2012: 317-331

Ashwin Srinivasan, Ganesh Ramakrishnan: Parameter Screening and Optimisation for ILP using Designed Experiments. Journal of Machine Learning Research 12: 627-662 (2011)

George Macleod Coghill, Ross D. King, Ashwin Srinivasan: Qualitative System Identification from Imperfect Data. CoRR abs/1111.0051 (2011)

Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, Ashwin Srinivasan: Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM). BMC Bioinformatics 11(S-1): 29 (2010)

Srihari Kalgi, Chirag Gosar, Prasad Gawde, Ganesh Ramakrishnan, Kekin Gada, Chander Iyer, T. V. S. Kiran, Ashwin Srinivasan: BET : An Inductive Logic Programming Workbench. ILP 2010: 130-137

Nuno A. Fonseca, Ashwin Srinivasan, Fernando M. A. Silva, Rui Camacho: Parallel ILP for distributed-memory architectures. Machine Learning 74(3): 257-279 (2009)

Lucia Specia, Ashwin Srinivasan, Sachindra Joshi, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes: An investigation into feature construction to assist word sense disambiguation. Machine Learning 76(1): 109-136 (2009)

Ashwin Srinivasan, Ganesh Ramakrishnan: Parameter Screening and Optimisation for ILP Using Designed Experiments. ILP 2009: 217-225

George Macleod Coghill, Ashwin Srinivasan, Ross D. King: Qualitative System Identification from Imperfect Data. J. Artif. Intell. Res. (JAIR) 32: 825-877 (2008)

Ashwin Srinivasan, Ross D. King: Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming. Journal of Machine Learning Research 9: 1475-1533 (2008)

Sachindra Joshi, Ganesh Ramakrishnan, Ashwin Srinivasan: Feature Construction Using Theory-Guided Sampling and Randomised Search. ILP 2008: 140-157

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

Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Balakrishnan, Ashwin Srinivasan: Using ILP to Construct Features for Information Extraction from Semi-structured Text. ILP 2007: 211-224

Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King: Quantitative pharmacophore models with inductive logic programming. Machine Learning 64(1-3): 65-90 (2006)

Rui Camacho, Ross D. King, Ashwin Srinivasan: Guest editorial. Machine Learning 64(1-3): 145-147 (2006)

Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.: Randomised restarted search in ILP. Machine Learning 64(1-3): 183-208 (2006)

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

Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes: Word Sense Disambiguation Using Inductive Logic Programming. ILP 2006: 409-423

Hendrik Blockeel, David Page, Ashwin Srinivasan: Multi-instance tree learning. ICML 2005: 57-64

Ashwin Srinivasan, Ravi Kothari: A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space. ILP 2005: 348-365

Ashwin Srinivasan: Five Problems in Five Areas for Five Years. ILP 2005: 424-425

Filip Zelezný, Ashwin Srinivasan, David Page: A Monte Carlo Study of Randomised Restarted Search in ILP. ILP 2004: 341-358

Rui Camacho, Ross D. King, Ashwin Srinivasan (Eds.): Inductive Logic Programming, 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004, Proceedings. Lecture Notes in Computer Science 3194, Springer 2004, isbn 3-540-22941-8

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)

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)

David Page, Ashwin Srinivasan: ILP: A Short Look Back and a Longer Look Forward. Journal of Machine Learning Research 4: 415-430 (2003)

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)

Ashwin Srinivasan: The Applicability to ILP of Results Concerning the Ordering of Binomial Populations. ILP 2002: 238-253

Filip Zelezný, Ashwin Srinivasan, David Page: Lattice-Search Runtime Distributions May Be Heavy-Tailed. ILP 2002: 333-345

Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan: The Predictive Toxicology Challenge 2000-2001. Bioinformatics 17(1): 107-108 (2001)

Steve Moyle, Ashwin Srinivasan: Classificatory challenge-data mining: a recipe. Informatica (Slovenia) 25(3) (2001)

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)

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)

Ashwin Srinivasan: Extracting Context-Sensitive Models in Inductive Logic Programming. Machine Learning 44(3): 301-324 (2001)

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

Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan: Learning Chomsky-like Grammars for Biological Sequence Families. ICML 2000: 631-638

Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan P. Whiteley, David Gavaghan: Discovering the Structure of Partial Differential Equations from Example Behaviour. ICML 2000: 991-998

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

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)

Ashwin Srinivasan: A Study of Two Sampling Methods for Analyzing Large Datasets with ILP. Data Min. Knowl. Discov. 3(1): 95-123 (1999)

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)

Ashwin Srinivasan, Ross D. King, Douglas W. Bristol: An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. IJCAI 1999: 270-275

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

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)

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)

Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg: Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science 1998: 326-341

Ashwin Srinivasan: Application of ILP to Problems in Chemistry and Biology (Abstract). ILP 1998: 10

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)

Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg: The Predictive Toxicology Evaluation Challenge. IJCAI (1) 1997: 4-9

Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg: Carcinogenesis Predictions Using ILP. ILP 1997: 273-287

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)

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

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

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)

Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen Muggleton: Drug Design by Machine Learning. Machine Intelligence 15 1995: 328-338

Ashwin Srinivasan, Stephen Muggleton, Michael Bain: The Justification of Logical Theories based on Data Compression. Machine Intelligence 13 1994: 87-121

James Cussens, Anthony Hunter, Ashwin Srinivasan: Generating Explicit Orderings for Non-monotonic Logics. AAAI 1993: 420-425

Michael Bain, Ashwin Srinivasan: Inductive Logic Programming With Large-Scale Unstructured Data. Machine Intelligence 14 1993: 235-

Paul Compton, Glenn Edwards, Byeong Kang, Leslie Lazarus, Ron Malor, Phillip Preston, Ashwin Srinivasan: Ripple down rules: Turning knowledge acquisition into knowledge maintenance. Artificial Intelligence in Medicine 4(6): 463-475 (1992)

Stephen Muggleton, Ashwin Srinivasan, Michael Bain: Compression, Significance, and Accuracy. ML 1992: 338-347