Ljupco Todorovski

According to our database, Ljupco Todorovski authored at least 84 papers between 1993 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Improving stochastic models by smart denoising and latent representation optimization.

Jakob Jelencic, M. Besher Massri, Ljupco Todorovski, Marko Grobelnik, Dunja Mladenic

Inf. Sci., 2025

2024

Probabilistic grammars for modeling dynamical systems from coarse, noisy, and partial data.

Nina Omejc, Bostjan Gec, Jure Brence, Ljupco Todorovski, Saso Dzeroski

Mach. Learn., October, 2024

Quantifying Behavioural Distance Between Mathematical Expressions.

Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski

CoRR, 2024

2023

Correction to: efficient generator of mathematical expressions for symbolic regression.

Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski

Mach. Learn., December, 2023

Efficient generator of mathematical expressions for symbolic regression.

Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski

Mach. Learn., November, 2023

Dynobench - extended Strogatz benchmark for system identification methods.

Nina Omejc, Bostjan Gec, Jure Brence, Ljupco Todorovski, Saso Dzeroski

Dataset, October, 2023

Boosting the performance of quantum annealers using machine learning.

Jure Brence, Dragan Mihailovic, Viktor V. Kabanov, Ljupco Todorovski, Saso Dzeroski, Jaka Vodeb

Quantum Mach. Intell., June, 2023

Dimensionally-consistent equation discovery through probabilistic attribute grammars.

Jure Brence, Saso Dzeroski, Ljupco Todorovski

Inf. Sci., 2023

MLFMF: Data Sets for Machine Learning for Mathematical Formalization.

Andrej Bauer, Matej Petkovic, Ljupco Todorovski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Explaining the performance of multilabel classification methods with data set properties.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

Int. J. Intell. Syst., 2022

A Review of Digital Era Governance Research in the First Two Decades: A Bibliometric Study.

Dejan Ravselj, Lan Umek, Ljupco Todorovski, Aleksander Aristovnik

Future Internet, 2022

Comprehensive comparative study of multi-label classification methods.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

Expert Syst. Appl., 2022

P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar.

Urh Primozic, Ljupco Todorovski, Matej Petkovic

CoRR, 2022

Discovery of Differential Equations Using Probabilistic Grammars.

Bostjan Gec, Nina Omejc, Jure Brence, Saso Dzeroski, Ljupco Todorovski

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Probabilistic grammars for equation discovery.

Jure Brence, Ljupco Todorovski, Saso Dzeroski

Knowl. Based Syst., 2021

Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks.

Rakib Hassan Pran, Ljupco Todorovski

CoRR, 2021

Explaining the Performance of Multi-label Classification Methods with Data Set Properties.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

CoRR, 2021

Extractive Text Summarization Based on Selectivity Ranking.

Dino Aljevic, Ljupco Todorovski, Sanda Martincic-Ipsic

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

2020

Combinatorial search for selecting the structure of models of dynamical systems with equation discovery.

Jovan Tanevski, Ljupco Todorovski, Saso Dzeroski

Eng. Appl. Artif. Intell., 2020

Equation Discovery for Nonlinear System Identification.

Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski

IEEE Access, 2020

Assessing the Agreement in the Bebras Tasks Categorisation.

Zan Ternik, Ljupco Todorovski, Irena Nancovska Serbec

Proceedings of the Informatics in Schools. Engaging Learners in Computational Thinking, 2020

2019

Reconstructing dynamical networks via feature ranking.

Marc G. Leguia, Zoran Levnajic, Ljupco Todorovski, Bernard Zenko

CoRR, 2019

Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems.

Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski

IEEE Access, 2019

Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems.

Ilin Tolovski, Ana Kostovska, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski, Pance Panov

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

2017

Inductive Process Modeling.

Ljupco Todorovski

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Equation Discovery.

Ljupco Todorovski

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Decoupling approximation robustly reconstructs directed dynamical networks.

Nikola Simidjievski, Jovan Tanevski, Bernard Zenko, Zoran Levnajic, Ljupco Todorovski, Saso Dzeroski

CoRR, 2017

The Influence of Feature Representation of Text on the Performance of Document Classification.

Sanda Martincic-Ipsic, Tanja Milicic, Ljupco Todorovski

CoRR, 2017

Process-Based Modeling and Design of Dynamical Systems.

Jovan Tanevski, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

General Meta-Model Framework for Surrogate-Based Numerical Optimization.

Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski

Proceedings of the Discovery Science - 20th International Conference, 2017

2016

Learning stochastic process-based models of dynamical systems from knowledge and data.

Jovan Tanevski, Ljupco Todorovski, Saso Dzeroski

BMC Syst. Biol., 2016

Learning Ensembles of Process-Based Models by Bagging of Random Library Samples.

Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

The effects of measurement error in case of scientific network analysis.

Nusa Erman, Ljupco Todorovski

Scientometrics, 2015

Predicting long-term population dynamics with bagging and boosting of process-based models.

Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski

Expert Syst. Appl., 2015

Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis.

Jovan Tanevski, Ljupco Todorovski, Yannis Kalaidzidis, Saso Dzeroski

BMC Syst. Biol., 2015

2013

Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis.

Jovan Tanevski, Ljupco Todorovski, Yannis Kalaidzidis, Saso Dzeroski

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

Discovering Constraints for Inductive Process Modeling.

Ljupco Todorovski, Will Bridewell, Pat Langley

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Automated discovery of a model for dinoflagellate dynamics.

Natasa Atanasova, Saso Dzeroski, Boris Kompare, Ljupco Todorovski, Gideon Gal

Environ. Model. Softw., 2011

Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.

Katerina Tashkova, Peter Korosec, Jurij Silc, Ljupco Todorovski, Saso Dzeroski

BMC Syst. Biol., 2011

2010

Inductive Process Modeling.

Ljupco Todorovski

Proceedings of the Encyclopedia of Machine Learning, 2010

Equation Discovery.

Ljupco Todorovski

Proceedings of the Encyclopedia of Machine Learning, 2010

Analyzing the Structure of the EGOV Conference Community.

Nusa Erman, Ljupco Todorovski

Proceedings of the Electronic Government, 9th IFIP WG 8.5 International Conference, 2010

The Induction and Transfer of Declarative Bias.

Will Bridewell, Ljupco Todorovski

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Mapping the E-Government Research with Social Network Analysis.

Nusa Erman, Ljupco Todorovski

Proceedings of the Electronic Government, 8th International Conference, 2009

2008

Inductive process modeling.

Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski

Mach. Learn., 2008

A Minimal Description Length Scheme for Polynomial Regression.

Aleksandar Peckov, Saso Dzeroski, Ljupco Todorovski

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

Extracting constraints for process modeling.

Will Bridewell, Stuart R. Borrett, Ljupco Todorovski

Proceedings of the 4th International Conference on Knowledge Capture (K-CAP 2007), 2007

Learning Declarative Bias.

Will Bridewell, Ljupco Todorovski

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

Reference Models for E-Services Integration Based on Life-Events.

Ljupco Todorovski, Mateja Kunstelj, Mirko Vintar

Proceedings of the Electronic Government, 6th International Conference, 2007

Integrating Domain Knowledge in Equation Discovery.

Ljupco Todorovski, Saso Dzeroski

Proceedings of the Computational Discovery of Scientific Knowledge, 2007

Computational Discovery of Scientific Knowledge.

Saso Dzeroski, Pat Langley, Ljupco Todorovski

Proceedings of the Computational Discovery of Scientific Knowledge, 2007

2006

Constructing explanatory process models from biological data and knowledge.

Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Todorovski, Andrew Pohorille

Artif. Intell. Medicine, 2006

2005

Reducing overfitting in process model induction.

Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski

Proceedings of the Machine Learning, 2005

Inducing Hierarchical Process Models in Dynamic Domains.

Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley

Proceedings of the Proceedings, 2005

2004

Subgroup Discovery with CN2-SD.

Nada Lavrac, Branko Kavsek, Peter A. Flach, Ljupco Todorovski

J. Mach. Learn. Res., 2004

ROC Analysis of Example Weighting in Subgroup Discovery.

Branko Kavsek, Nada Lavrac, Ljupco Todorovski

Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

Integrating Knowledge-Driven and Data-Driven Approaches to Modeling.

Ljupco Todorovski, Saso Dzeroski

Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004

Inducing Polynomial Equations for Regression.

Ljupco Todorovski, Peter Ljubic, Saso Dzeroski

Proceedings of the Machine Learning: ECML 2004, 2004

Inductive Queries on Polynomial Equations.

Saso Dzeroski, Ljupco Todorovski, Peter Ljubic

Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003

Combining Classifiers with Meta Decision Trees.

Ljupco Todorovski, Saso Dzeroski

Mach. Learn., 2003

Inductive Databases of Polynomial Equations.

Saso Dzeroski, Ljupco Todorovski, Peter Ljubic

Proceedings of the Second International Workshop on Inductive Databases, 2003

Using Domain Specific Knowledge for Automated Modeling.

Ljupco Todorovski, Saso Dzeroski

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Modelling Soil Radon Concentration for Earthquake Prediction.

Saso Dzeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal

Proceedings of the Discovery Science, 6th International Conference, 2003

Using Constraints in Discovering Dynamics.

Saso Dzeroski, Ljupco Todorovski, Peter Ljubic

Proceedings of the Discovery Science, 6th International Conference, 2003

2002

Inducing Process Models from Continuous Data.

Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski

Proceedings of the Machine Learning, 2002

Adapting classification rule induction to subgroup discovery.

Nada Lavrac, Peter A. Flach, Branko Kavsek, Ljupco Todorovski

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Ranking with Predictive Clustering Trees.

Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Presentation of dermatological images on the Internet.

Samo Ribaric, Ljupco Todorovski, Jure Dimec, Tomaz Lunder

Comput. Methods Programs Biomed., 2001

A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods.

Bernard Zenko, Ljupco Todorovski, Saso Dzeroski

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery.

Ljupco Todorovski, Saso Dzeroski

Proceedings of the Machine Learning: EMCL 2001, 2001

Theory Revision in Equation Discovery.

Ljupco Todorovski, Saso Dzeroski

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000

Deterministic predictive models for DC voltage reference source control.

Irena Nancovska, Anton Jeglic, Dusan Fefer, Ljupco Todorovski

IEEE Trans. Ind. Electron., 2000

Predictive Performance of Weghted Relative Accuracy.

Ljupco Todorovski, Peter A. Flach, Nada Lavrac

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Combining Multiple Models with Meta Decision Trees.

Ljupco Todorovski, Saso Dzeroski

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Discovering the Structure of Partial Differential Equations from Example Behaviour.

Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan P. Whiteley, David Gavaghan

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Equation Discovery System And Neural Networks For Short-Term Dc Voltage Prediction.

Irena Nancovska, Anton Jeglic, Dusan Fefer, Ljupco Todorovski

Informatica (Slovenia), 1999

Experiments in Meta-level Learning with ILP.

Ljupco Todorovski, Saso Dzeroski

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Organization and dissemination of multimedia medical databases on the WWW.

Ljupco Todorovski, Samo Ribaric, Jure Dimec, Emil Hudomalj, Tomaz Lunder

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

Analysis of free MEDLINE on the WWW.

Eva Klemencic, Ljupco Todorovski

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

WWW search engine for Slovenian and English medical documents.

Jure Dimec, Saso Dzeroski, Ljupco Todorovski, Dimitar Hristovski

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

1997

Declarative Bias in Equation Discovery.

Ljupco Todorovski, Saso Dzeroski

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1995

Discovering Dynamics: From Inductive Logic Programming to Machine Discovery.

Saso Dzeroski, Ljupco Todorovski

J. Intell. Inf. Syst., 1995

Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract).

Saso Dzeroski, Ljupco Todorovski, Tanja Urbancic

Proceedings of the Machine Learning: ECML-95, 1995

1993

Discovering Dynamics.

Saso Dzeroski, Ljupco Todorovski

Proceedings of the Machine Learning, 1993