Ljupco Todorovski

Ljupco Todorovski, Will Bridewell, Pat Langley: Discovering Constraints for Inductive Process Modeling. AAAI 2012

Will Bridewell, Ljupco Todorovski: The Induction and Transfer of Declarative Bias. AAAI 2010

Nusa Erman, Ljupco Todorovski: Analyzing the Structure of the EGOV Conference Community. EGOV 2010: 73-84

Ljupco Todorovski: Equation Discovery. Encyclopedia of Machine Learning 2010: 327-330

Ljupco Todorovski: Inductive Process Modeling. Encyclopedia of Machine Learning 2010: 537

Nusa Erman, Ljupco Todorovski: Mapping the E-Government Research with Social Network Analysis. EGOV 2009: 13-25

Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski: Inductive process modeling. Machine Learning 71(1): 1-32 (2008)

Aleksandar Peckov, Saso Dzeroski, Ljupco Todorovski: A Minimal Description Length Scheme for Polynomial Regression. PAKDD 2008: 284-295

Saso Dzeroski, Pat Langley, Ljupco Todorovski: Computational Discovery of Scientific Knowledge. Computational Discovery of Scientific Knowledge 2007: 1-14

Ljupco Todorovski, Saso Dzeroski: Integrating Domain Knowledge in Equation Discovery. Computational Discovery of Scientific Knowledge 2007: 69-97

Ljupco Todorovski, Mateja Kunstelj, Mirko Vintar: Reference Models for E-Services Integration Based on Life-Events. EGOV 2007: 92-103

Will Bridewell, Ljupco Todorovski: Learning Declarative Bias. ILP 2007: 63-77

Will Bridewell, Stuart R. Borrett, Ljupco Todorovski: Extracting constraints for process modeling. K-CAP 2007: 87-94

Saso Dzeroski, Ljupco Todorovski (Eds.): Computational Discovery of Scientific Knowledge, Introduction, Techniques, and Applications in Environmental and Life Sciences. Lecture Notes in Computer Science 4660, Springer 2007, isbn 978-3-540-73919-7

Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Todorovski, Andrew Pohorille: Constructing explanatory process models from biological data and knowledge. Artificial Intelligence in Medicine 37(3): 191-201 (2006)

Ljupco Todorovski, Nada Lavrac, Klaus P. Jantke (Eds.): Discovery Science, 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings. Lecture Notes in Computer Science 4265, Springer 2006, isbn 3-540-46491-3

Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley: Inducing Hierarchical Process Models in Dynamic Domains. AAAI 2005: 892-897

Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski: Reducing overfitting in process model induction. ICML 2005: 81-88

Nada Lavrac, Branko Kavsek, Peter A. Flach, Ljupco Todorovski: Subgroup Discovery with CN2-SD. Journal of Machine Learning Research 5: 153-188 (2004)

Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Inductive Queries on Polynomial Equations. Constraint-Based Mining and Inductive Databases 2004: 127-154

Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Inductive Databases of Polynomial Equations. DaWaK 2004: 159-168

Ljupco Todorovski, Peter Ljubic, Saso Dzeroski: Inducing Polynomial Equations for Regression. ECML 2004: 441-452

Branko Kavsek, Nada Lavrac, Ljupco Todorovski: ROC Analysis of Example Weighting in Subgroup Discovery. ROCAI 2004: 55-60

Ljupco Todorovski, Saso Dzeroski: Combining Classifiers with Meta Decision Trees. Machine Learning 50(3): 223-249 (2003)

Saso Dzeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal: Modelling Soil Radon Concentration for Earthquake Prediction. Discovery Science 2003: 87-99

Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Using Constraints in Discovering Dynamics. Discovery Science 2003: 297-305

Ljupco Todorovski, Saso Dzeroski: Using Domain Specific Knowledge for Automated Modeling. IDA 2003: 48-59

Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Inductive Databases of Polynomial Equations. KDID 2003: 28-43

Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel (Eds.): Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings. Lecture Notes in Computer Science 2837, Springer 2003, isbn 3-540-20121-1

Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski (Eds.): Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings. Lecture Notes in Computer Science 2838, Springer 2003, isbn 3-540-20085-1

Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski: Ranking with Predictive Clustering Trees. ECML 2002: 444-455

Nada Lavrac, Peter A. Flach, Branko Kavsek, Ljupco Todorovski: Adapting classification rule induction to subgroup discovery. ICDM 2002: 266-273

Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski: Inducing Process Models from Continuous Data. ICML 2002: 347-354

Samo Ribaric, Ljupco Todorovski, Jure Dimec, Tomaz Lunder: Presentation of dermatological images on the Internet. Computer Methods and Programs in Biomedicine 65(2): 111-121 (2001)

Ljupco Todorovski, Saso Dzeroski: Theory Revision in Equation Discovery. Discovery Science 2001: 389-400

Ljupco Todorovski, Saso Dzeroski: Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery. ECML 2001: 478-490

Bernard Zenko, Ljupco Todorovski, Saso Dzeroski: A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. ICDM 2001: 669-670

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

Ljupco Todorovski, Saso Dzeroski: Combining Multiple Models with Meta Decision Trees. PKDD 2000: 54-64

Ljupco Todorovski, Peter A. Flach, Nada Lavrac: Predictive Performance of Weghted Relative Accuracy. PKDD 2000: 255-264

Irena Nancovska, Anton Jeglic, Dusan Fefer, Ljupco Todorovski: Equation Discovery System And Neural Networks For Short-Term Dc Voltage Prediction. Informatica (Slovenia) 23(4) (1999)

Ljupco Todorovski, Saso Dzeroski: Experiments in Meta-level Learning with ILP. PKDD 1999: 98-106

Ljupco Todorovski, Saso Dzeroski: Declarative Bias in Equation Discovery. ICML 1997: 376-384

Saso Dzeroski, Ljupco Todorovski: Discovering Dynamics: From Inductive Logic Programming to Machine Discovery. J. Intell. Inf. Syst. 4(1): 89-108 (1995)

Saso Dzeroski, Ljupco Todorovski, Tanja Urbancic: Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract). ECML 1995: 283-286

Saso Dzeroski, Ljupco Todorovski: Discovering Dynamics. ICML 1993: 97-103