Publications

T.Ricatte, G.C.Garriga, R.Gilleron and M. Tommasi. Learning from Multiple Graphs using a Sigmoid Kernel. The 12th International Conference on Machine Learning and Applications (ICMLA’13), 2013.

G.C.Garriga. Formal Methods for Mining Structured Objects. Studies in Computational Intelligence, Volume 475, 2013

G.C.Garriga, R.Khardon and L.De Raedt. Mining closed patterns in relational, graph and network data. Annals of Mathematics and Artificial Intelligence (AMAI). 2012.

A.Freno, M.Keller, G.C.Garriga and M.Tommasi. Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. 28th Conference on Uncertainty in Artificial Intelligence (UAI-12).

J. Humrich, T.Gärtner and G.C.Garriga. A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix. 2011 IEEE International Conference on Data Mining (ICDM-11).

A. Freno, G.C.Garriga and M.Keller. Learning to recommend links using graph structure and node content. Neural Information Processing Systems NIPS Workshop on Choice Models and Preference Learning 2011.

G.C.Garriga, E.Junttila and H.Mannila. Banded structure in binary matrices. Knowledge and Information Systems Journal, 28(1): 197-226, 2011.

M.Ojala and G.C.Garriga. Permutation Tests for Studying Classifier Performance. Journal of Machine Learning Research, JMLR 11(Jun):1833-1863, 2010.

M.Ojala, G.C.Garriga, A.Gionis and H.Mannila. Evaluating Query Result Significance in Databases via Randomizations. In 2010 SIAM International Conference on Data Mining (SDM-10).

S.Hanhijärvi, G.C.Garriga and K.Puolamäki. Randomization techniques for graphs. 2009 SIAM International Conference on Data Mining (SDM-09).
A short version of this paper was presented at Int. Workshop on Mining and Learning with Graphs MLG-08. See it here.

T.Gärtner and G.C.Garriga (guest eds). Machine Learning Journal special issue on mining and learning with graphs. Machine Learning Journal. Vol. 75, No.1, April 2009.

M.Ojala and G.C.Garriga. Permutation Tests for Studying Classifier Performance. 2009 IEEE International Conference on Data Mining (ICDM-09).

S.Hanhijärvi, K.Puolamäki and G.C.Garriga. Multiple hypothesis testing in pattern discovery. arXiv:0906.5263v1 stat.ML. 2009.

K.Puolamäki, S.Hanhijärvi and G.C.Garriga. An Approximation Ratio for Biclustering. Information Processing Letters, Vol. 108, No. 2, 45–49, 2008

G.C.Garriga, E.Junttila and H.Mannila. Banded structure in binary matrices. 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-08).

G.C.Garriga, P.Kralj and N.Lavrac. Closed Sets for Labeled Data. Journal of Machine Learning Research, JMLR 9(Apr):559–580, 2008.

G.C.Garriga, A.Ukkonen and H.Mannila. Feature Selection in Taxonomies with Applications to Paleontology. 11th International Conference on Discovery Science (DS-2008) (errata)

J.L.Balcázar and G.C.Garriga. On Horn axiomatizations for sequential data. In Theoretical Computer Science Journal, 2007.

G.C.Garriga, H.Heikinheimo and J.K.Seppänen. Cross-mining binary and numerical attributes. 2007 IEEE International Conference on Data Mining (ICDM-07).

T.Gärtner and G.C.Garriga. The cost of learning directed cuts. 18th European Conference on Machine Learning (ECML-07).
A short version of the above paper was presented at the Int Workshop of Mining and Learning with Graphs MLG-07.

G.C.Garriga, R.Khardon and L.De Raedt. On mining closed sets in multi-relational data. 20th International Joint Conference on Artificial Intelligence (IJCAI-07).

J.L.Balcázar and G.C.Garriga. Characterizing implications of injective partial orders. 15th International Conference on Conceptual Structures (ICCS-07).

G.C.Garriga, J.Balcázar, J.Ballesteros, J.Megias and A.Palomares. Strategic management of security information through entropy-based alert correlator. European CIIP Newsletter, Volume 3, Number 3, 2007.

G.C.Garriga. Formal methods for mining structured objects. PhD Thesis, 2006 (slides). Publication of the thesis as Springer book. Studies in Computational Intelligence, Volume 475, 2013

T.Gärtner, G.C.Garriga and T.Meinl, editor(s). Proceedings of The Workshop on Mining and Learning with Graphs. 2006.

G.C.Garriga, P. Kralj and N.Lavrac. Closed sets for labeled data. 10th European Conference on Principles and Practice of Knowledge Discovery (PKDD-06).

P.Kralj, A.Rotter, N.Toplak, K.Gruden, N.Lavrac; and G.C.Garriga. Application of closed itemset mining for class labeled data in functional genomics. Informatica Medica Slovenica Journal, 2006.

J.L.Balcázar and G.C.Garriga. On Horn axiomatizations for sequential data. 10th International Conference on Database Theory (ICDT-05).

G.C.Garriga. Summarizing sequential data with closed partial orders. 2005 SIAM International Conference on Data Mining (SDM-05).

G.C.Garriga and J.L.Balcázar. Coproduct transformations on lattices of closed partial orders. 2nd International Conference on Graph Transformation (ICGT-04).

G.C.Garriga. Statistical strategies for pruning uninteresting association rules. 16th European Conference on Artificial Intelligence (ECAI-04).

G.C.Garriga. Towards a formal framework for mining general patterns from structured data. KDD’03 International Workshop on Multirelational Datamining MRDM-03.

G.C.Garriga. Discovering unbounded episodes in sequential data. 7th European Conference on Principles and Practice of Knowledge Discovery (PKDD-03).