andreas karwath

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All my publications in reverse chronological order
  • K. Kersting, L. De Raedt, B. Gutmann, A. Karwath, and N. Landwehr: Relational Sequence Learning. In: Probabilistic Inductive Logic Programming, L. De Raedt, P. Frasconi, K. Kersting, and S. Muggleton (eds.), Lecture Notes in Computer Science 4911, Springer-Verlag, pp 28-55 (2008).

  • R. D. King, A. Karwath, A. Clare, and L. Dehaspe: Logic and the Automatic Acquisition of Scientific Knowledge. In: Computational Discovery of Communicable Knowledge, Lecture Notes in Artificial Intelligence 4660-0273, pp. 273-289 (2007).

  • A. Karwath and L. De Raedt: SMIREP: Predicting Chemical Activity from SMILES. In: Journal of Chemical Information and Modeling, 46(6), pp. 2432-2444. (2006).

  • A. Karwath and K. Kersting: Relational Sequence Alignments. In: Proc. The 4th International Workshop on Mining and Learning with Graphs (MLG '06). (2006).

  • K.Kersting and A. Karwath: On Relational Sequences Alignments and Their Information Contents. In: Short Paper Proc. of the 16th International Conference on Inductive Logic Programming (ILP '06). August. pp. 122-124 (2006)

  • A. Clare, A. Karwath, H. Ougham and R. D. King: Functional bioinformatics for Arabidopsis thaliana. In: BIOINFORMATICS 22/9. pp. 1130-1136. (2006) 

  • C. Stolle, A. Karwath and Luc De Raedt.: CLASSIC'CL: an integrated ILP system. In: Proc. 8th International Conference of Discovery Science, DS 2005, October. Lecture Notes in Artificial Intelligence 3735. pp. 354-362. .Springer-Verlag. (2005)

  • B. Bringmann and A. Karwath: Frequent SMILES. In: Lernen, Wissensentdeckung und AdaptivitŠt, Workshop GI Fachgruppe Maschinelles Lernen. part of LWA. (2004).

  • A. Karwath and L. De Raedt.: Predictive Graph Mining. In: Proc. 7th International Conference of Discovery Science, DS 2004, October. Lecture Notes in Artificial Intelligence 3245. pp. 1-15. Springer-Verlag. (2004)

  • A. Karwath and L. De Raedt.: Predictive Graph Mining. In: Proc. International Workshop on Mining Graphs, Trees and Sequences, MGTS 2004, September. pp. 25-36. (2004)

  • A. Karwath and R. D. King: Homology Induction: the use of machine learning to improve sequence similarity searches. In: BMC Bioinformatics 3/1. (2002) 

  • A. Karwath: Large Logical Databases and their Applications to Molecular Biology. PhD thesis. University of Wales Aberystwyth.. (2002).

  • A. Karwath and R. D. King: An automated ILP server in the field of bioinformatics. In: Proc. of the 11th International Conference on Inductive Logic Programming (ILP'01), Lecture Notes in Artificial Intelligence 2157. Springer Verlag, Heidelberg. (2001)

  • R. D. King, A. Karwath, A. Clare and L. Dehaspe: The utility of different representations of protein sequence for predicting functional class. In: Bioinformatics 17/5. pp. 445-454. (2001) 

  • R. D. King, A. Karwath, A. Clare and L. Dehaspe: Accurate prediction of protein functional class from sequence in the Mycobacterium tuberculosis and Escherichia coli genomes using data mining. In: Yeast (Comparative and Functional Genomics) 17/4. pp. 283-293. (2000) 

  • R. D. King, A. Karwath, A. Clare and L. Dehaspe: Logic and the Automatic Acquisition of Scientific Knowledge. In: EACIS (Electronic Articles in Computer and Information Science) 5/031. (2000)

  • R. D. King, A. Karwath, A. Clare and L. Dehaspe: Genome scale prediction of protein functional class from sequence using data mining. In: The Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2000) pp. 384-389. The Association for Computing Machinery, New York, USA. (2000)