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Jan Struyf
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Journal Articles
- 2013
- [j9]Dragi Kocev
, Celine Vens, Jan Struyf, Saso Dzeroski
:
Tree ensembles for predicting structured outputs. Pattern Recognit. 46(3): 817-833 (2013) - 2010
- [j8]Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel
, Dragi Kocev
, Saso Dzeroski
:
Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinform. 11: 2 (2010) - 2008
- [j7]Wannes Meert, Jan Struyf, Hendrik Blockeel:
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques. Fundam. Informaticae 89(1): 131-160 (2008) - [j6]Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski
, Hendrik Blockeel
:
Decision trees for hierarchical multi-label classification. Mach. Learn. 73(2): 185-214 (2008) - 2007
- [j5]Saso Dzeroski, Jan Struyf:
5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report. SIGKDD Explor. 9(1): 56-58 (2007) - 2004
- [j4]Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel
:
Compact Representation of Knowledge Bases in Inductive Logic Programming. Mach. Learn. 57(3): 305-333 (2004) - 2003
- [j3]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. J. Mach. Learn. Res. 4: 465-491 (2003) - 2002
- [j2]Hendrik Blockeel, Jan Struyf:
Deriving biased classifiers for better ROC performance. Informatica (Slovenia) 26(1) (2002) - [j1]Hendrik Blockeel, Jan Struyf:
Efficient Algorithms for Decision Tree Cross-validation. J. Mach. Learn. Res. 3: 621-650 (2002)
Conference and Workshop Papers
- 2010
- [c18]Beau Piccart, Jan Struyf, Hendrik Blockeel:
Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method. SDM 2010: 189-198 - 2009
- [c17]Wannes Meert
, Jan Struyf, Hendrik Blockeel
:
CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. ILP 2009: 96-109 - 2008
- [c16]Beau Piccart, Jan Struyf, Hendrik Blockeel
:
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. Discovery Science 2008: 64-75 - 2007
- [c15]Jan Struyf, Saso Dzeroski
:
Clustering Trees with Instance Level Constraints. ECML 2007: 359-370 - [c14]Dragi Kocev
, Celine Vens, Jan Struyf, Saso Dzeroski
:
Ensembles of Multi-Objective Decision Trees. ECML 2007: 624-631 - [c13]Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa:
Change of Representation for Statistical Relational Learning. IJCAI 2007: 2719-2726 - 2006
- [c12]Jan Struyf, Jesse Davis
, C. David Page Jr.:
An Efficient Approximation to Lookahead in Relational Learners. ECML 2006: 775-782 - [c11]Saso Dzeroski
, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf:
Analysis of Time Series Data with Predictive Clustering Trees. KDID 2006: 63-80 - [c10]Élisa Fromont, Hendrik Blockeel
, Jan Struyf:
Integrating Decision Tree Learning into Inductive Databases. KDID 2006: 81-96 - [c9]Dragi Kocev
, Jan Struyf, Saso Dzeroski
:
Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. KDID 2006: 134-151 - [c8]Hendrik Blockeel
, Leander Schietgat, Jan Struyf, Saso Dzeroski
, Amanda Clare
:
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. PKDD 2006: 18-29 - 2005
- [c7]Jan Struyf, Saso Dzeroski
, Hendrik Blockeel
, Amanda Clare:
Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. EPIA 2005: 272-283 - [c6]Jan Struyf, Saso Dzeroski
:
Constraint Based Induction of Multi-objective Regression Trees. KDID 2005: 222-233 - [c5]Bernard Zenko, Saso Dzeroski
, Jan Struyf:
Learning Predictive Clustering Rules. KDID 2005: 234-250 - 2003
- [c4]Jan Struyf, Hendrik Blockeel:
Query Optimization in Inductive Logic Programming by Reordering Literals. ILP 2003: 329-346 - 2002
- [c3]Jan Struyf, Jan Ramon, Hendrik Blockeel
:
Compact Representation of Knowledge Bases in ILP. ILP 2002: 254-269 - 2001
- [c2]Hendrik Blockeel, Jan Struyf:
Efficient algorithms for decision tree cross-validation. ICML 2001: 11-18 - [c1]Jan Struyf, Hendrik Blockeel
:
Efficient Cross-Validation in ILP. ILP 2001: 228-239
Parts in Books or Collections
- 2010
- [p2]Jan Struyf, Saso Dzeroski
:
Constrained Predictive Clustering. Inductive Databases and Constraint-Based Data Mining 2010: 155-175 - [p1]Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel
, Dragi Kocev
, Saso Dzeroski
:
Predicting Gene Function using Predictive Clustering Trees. Inductive Databases and Constraint-Based Data Mining 2010: 365-387
Editorship
- 2007
- [e1]Saso Dzeroski, Jan Struyf:
Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers. Lecture Notes in Computer Science 4747, Springer 2007, ISBN 978-3-540-75548-7 [contents]
Reference Works
- 2017
- [r2]Jan Struyf, Hendrik Blockeel:
Relational Learning. Encyclopedia of Machine Learning and Data Mining 2017: 1090-1096 - 2010
- [r1]Jan Struyf, Hendrik Blockeel:
Relational Learning. Encyclopedia of Machine Learning 2010: 851-857
Informal and Other Publications
- 2001
- [i1]Hendrik Blockeel, Jan Struyf:
Efficient algorithms for decision tree cross-validation. CoRR cs.LG/0110036 (2001)
Coauthor Index
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