Saso Dzeroski

According to our database1, Saso Dzeroski authored at least 272 papers between 1991 and 2021.

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Bibliography

2021
Learning comprehensible and accurate hybrid trees.
Expert Syst. Appl., 2021

Comprehensive Comparative Study of Multi-Label Classification Methods.
CoRR, 2021

ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings.
CoRR, 2021

Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors.
Comput. Biol. Medicine, 2021

Multi-Target Regression Rules With Random Output Selections.
IEEE Access, 2021

2020
Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN.
Remote. Sens., 2020

Error curves for evaluating the quality of feature rankings.
PeerJ Comput. Sci., 2020

Feature ranking for multi-target regression.
Mach. Learn., 2020

Multi-label feature ranking with ensemble methods.
Mach. Learn., 2020

Incremental predictive clustering trees for online semi-supervised multi-target regression.
Mach. Learn., 2020

Semi-supervised regression trees with application to QSAR modelling.
Expert Syst. Appl., 2020

Combinatorial search for selecting the structure of models of dynamical systems with equation discovery.
Eng. Appl. Artif. Intell., 2020

Probabilistic Grammars for Equation Discovery.
CoRR, 2020

Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning.
CoRR, 2020

Feature Ranking for Semi-supervised Learning.
CoRR, 2020

Multi-view redescription mining using tree-based multi-target prediction models.
CoRR, 2020

Option predictive clustering trees for multi-target regression.
Comput. Sci. Inf. Syst., 2020

Equation Discovery for Nonlinear System Identification.
IEEE Access, 2020

Estimating the Importance of Relational Features by Using Gradient Boosting.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Predicting Associations Between Proteins and Multiple Diseases.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Feature Importance Estimation with Self-Attention Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems.
Proceedings of the Discovery Science - 23rd International Conference, 2020

Semantic Annotation of Predictive Modelling Experiments.
Proceedings of the Discovery Science - 23rd International Conference, 2020

Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema.
Proceedings of the Discovery Science - 23rd International Conference, 2020

Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Aiding the Task of Process-Based Modeling with ProBMoTViz.
Int. J. Web Appl., 2019

Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors.
IEEE Access, 2019

Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems.
IEEE Access, 2019

SMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments.
IEEE Access, 2019

Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems.
Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Ensemble-Based Feature Ranking for Semi-supervised Classification.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Utilizing Hierarchies in Tree-Based Online Structured Output Prediction.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Ensembles for multi-target regression with random output selections.
Mach. Learn., 2018

Tree-based methods for online multi-target regression.
J. Intell. Inf. Syst., 2018

Redescription mining augmented with random forest of multi-target predictive clustering trees.
J. Intell. Inf. Syst., 2018

Semi-supervised trees for multi-target regression.
Inf. Sci., 2018

Quantitative Score for Assessing the Quality of Feature Rankings.
Informatica (Slovenia), 2018

Machine learning for predicting thermal power consumption of the Mars Express Spacecraft.
CoRR, 2018

HMC-ReliefF: Feature ranking for hierarchical multi-label classification.
Comput. Sci. Inf. Syst., 2018

MetaBags: Bagged Meta-Decision Trees for Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Feature Ranking with Relief for Multi-label Classification: Does Distance Matter?
Proceedings of the Discovery Science - 21st International Conference, 2018

Extending Redescription Mining to Multiple Views.
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
Multi-label classification via multi-target regression on data streams.
Mach. Learn., 2017

Self-training for multi-target regression with tree ensembles.
Knowl. Based Syst., 2017

Erratum to: The use of data-derived label hierarchies in multi-label classification.
J. Intell. Inf. Syst., 2017

Semi-supervised classification trees.
J. Intell. Inf. Syst., 2017

A framework for redescription set construction.
Expert Syst. Appl., 2017

Decoupling approximation robustly reconstructs directed dynamical networks.
CoRR, 2017

Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients.
CoRR, 2017

Process-Based Modeling and Design of Dynamical Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Structuring the Output Space in Multi-label Classification by Using Feature Ranking.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Phenotype Prediction with Semi-supervised Classification Trees.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Image Representation, Annotation and Retrieval with Predictive Clustering Trees.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Predictive Clustering Trees for Hierarchical Multi-Target Regression.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Predictive Clustering of Multi-dimensional Time Series Applied to Forest Growing Stock Data for Different Tree Sizes.
Proceedings of the ICT Innovations 2017, 2017

Feature Ranking for Multi-target Regression with Tree Ensemble Methods.
Proceedings of the Discovery Science - 20th International Conference, 2017

Option Predictive Clustering Trees for Hierarchical Multi-label Classification.
Proceedings of the Discovery Science - 20th International Conference, 2017

General Meta-Model Framework for Surrogate-Based Numerical Optimization.
Proceedings of the Discovery Science - 20th International Conference, 2017

Multi-label Classification Using Random Label Subset Selections.
Proceedings of the Discovery Science - 20th International Conference, 2017

Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Ensembles of Fuzzy Linear Model Trees for the Identification of Multioutput Systems.
IEEE Trans. Fuzzy Syst., 2016

Special issue on discovery science.
Mach. Learn., 2016

The use of data-derived label hierarchies in multi-label classification.
J. Intell. Inf. Syst., 2016

Generic ontology of datatypes.
Inf. Sci., 2016

Improving bag-of-visual-words image retrieval with predictive clustering trees.
Inf. Sci., 2016

Modeling dynamical systems with data stream mining.
Comput. Sci. Inf. Syst., 2016

Learning stochastic process-based models of dynamical systems from knowledge and data.
BMC Syst. Biol., 2016

An Algorithm, Implementation and Execution Ontology Design Pattern.
Proceedings of the Advances in Ontology Design and Patterns [revised and extended versions of the papers presented at the 7th edition of the Workshop on Ontology and Semantic Web Patterns, 2016

Semi-Supervised Multi-View Learning for Gene Network Reconstruction.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Learning from Massive, Incompletely annotated & Structured Data.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Learning Ensembles of Process-Based Models by Bagging of Random Library Samples.
Proceedings of the Discovery Science - 19th International Conference, 2016

A Comparison of Different Data Transformation Approaches in the Feature Ranking Context.
Proceedings of the Discovery Science - 19th International Conference, 2016

Option Predictive Clustering Trees for Multi-target Regression.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
The importance of the label hierarchy in hierarchical multi-label classification.
J. Intell. Inf. Syst., 2015

Online tree-based ensembles and option trees for regression on evolving data streams.
Neurocomputing, 2015

Predicting long-term population dynamics with bagging and boosting of process-based models.
Expert Syst. Appl., 2015

Improved medical image modality classification using a combination of visual and textual features.
Comput. Medical Imaging Graph., 2015

Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis.
BMC Syst. Biol., 2015

Model-Tree Ensembles for noise-tolerant system identification.
Adv. Eng. Informatics, 2015

Semi-supervised learning for multi-target regression (Discussion paper).
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Comparison of Tree-Based Methods for Multi-target Regression on Data Streams.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Redescription Mining with Multi-target Predictive Clustering Trees.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Ontology Engineering: From an Art to a Craft - The Case of the Data Mining Ontologies.
Proceedings of the Ontology Engineering, 2015

Representing bioinformatics datatypes using the OntoDT ontology.
Proceedings of the International Conference on Biomedical Ontology, 2015

2014
Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees.
Pattern Recognit. Lett., 2014

Development of a knowledge library for automated watershed modeling.
Environ. Model. Softw., 2014

Ontology of core data mining entities.
Data Min. Knowl. Discov., 2014

Evaluation of Different Data-Derived Label Hierarchies in Multi-label Classification.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Semi-supervised Learning for Multi-target Regression.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Model Tree Ensembles for the Identification of Multiple-Output Systems.
Proceedings of the 13th European Control Conference, 2014

Multi-objective learning of hybrid classifiers.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
Tree ensembles for predicting structured outputs.
Pattern Recognit., 2013

Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships.
PLoS Comput. Biol., 2013

Semi-Supervised Learning for Quantitative Structure-Activity Modeling.
Informatica (Slovenia), 2013

Hybrid Decision Tree Architecture Utilizing Local SVMs for Efficient Multi-Label Learning.
Int. J. Pattern Recognit. Artif. Intell., 2013

Dealing with spatial autocorrelation when learning predictive clustering trees.
Ecol. Informatics, 2013

Habitat modeling with single- and multi-target trees and ensembles.
Ecol. Informatics, 2013

ReliefF for Hierarchical Multi-label Classification.
Proceedings of the New Frontiers in Mining Complex Patterns, 2013

The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance.
Proceedings of the New Frontiers in Mining Complex Patterns, 2013

Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis.
Proceedings of the Discovery Science - 16th International Conference, 2013

Learning Hierarchical Multi-label Classification Trees from Network Data.
Proceedings of the Discovery Science - 16th International Conference, 2013

OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process.
Proceedings of the Discovery Science - 16th International Conference, 2013

Fast and Scalable Image Retrieval Using Predictive Clustering Trees.
Proceedings of the Discovery Science - 16th International Conference, 2013

Model Tree Ensembles for Modeling Dynamic Systems.
Proceedings of the Discovery Science - 16th International Conference, 2013

2012
An extensive experimental comparison of methods for multi-label learning.
Pattern Recognit., 2012

Two stage architecture for multi-label learning.
Pattern Recognit., 2012

Multi-target regression with rule ensembles.
J. Mach. Learn. Res., 2012

Hierarchical classification of diatom images using ensembles of predictive clustering trees.
Ecol. Informatics, 2012

Estimating the risk of fire outbreaks in the natural environment.
Data Min. Knowl. Discov., 2012

Network regression with predictive clustering trees.
Data Min. Knowl. Discov., 2012

2011
Hierarchical annotation of medical images.
Pattern Recognit., 2011

Automated discovery of a model for dinoflagellate dynamics.
Environ. Model. Softw., 2011

Learning model trees from evolving data streams.
Data Min. Knowl. Discov., 2011

Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.
BMC Syst. Biol., 2011

Incremental multi-target model trees for data streams.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Speeding-Up Hoeffding-Based Regression Trees With Options.
Proceedings of the 28th International Conference on Machine Learning, 2011

Inductive Databases and Constraint-Based Data Mining.
Proceedings of the Formal Concept Analysis - 9th International Conference, 2011

Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Dual Layer Voting Method for Efficient Multi-label Classification.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Regression on evolving multi-relational data streams.
Proceedings of the 2011 Joint EDBT/ICDT Ph.D. Workshop, Uppsala, Sweden, March 25, 2011, 2011

Global and Local Spatial Autocorrelation in Predictive Clustering Trees.
Proceedings of the Discovery Science - 14th International Conference, 2011

Predicting Structured Outputs k-Nearest Neighbours Method.
Proceedings of the Discovery Science - 14th International Conference, 2011

2010
Relational Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery.
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

Preface.
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

Estimating vegetation height and canopy cover from remotely sensed data with machine learning.
Ecol. Informatics, 2010

Predicting gene function using hierarchical multi-label decision tree ensembles.
BMC Bioinform., 2010

Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

Predicting Gene Function using Predictive Clustering Trees.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Constrained Predictive Clustering.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Analyzing Gene Expression Data with Predictive Clustering Trees.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Representing Entities in the OntoDM Data Mining Ontology.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Inductive Databases and Constraint-based Data Mining: Introduction and Overview.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
Machine Learning, Ensemble Methods in.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries.
Proceedings of the Information Technologies in Environmental Engineering, 2009

Rule Ensembles for Multi-target Regression.
Proceedings of the ICDM 2009, 2009

Towards an Ontology of Data Mining Investigations.
Proceedings of the Discovery Science, 12th International Conference, 2009

ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

2008
Decision trees for hierarchical multi-label classification.
Mach. Learn., 2008

Inductive process modeling.
Mach. Learn., 2008

Learning Classification Rules for Multiple Target Attributes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A Minimal Description Length Scheme for Polynomial Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

OntoDM: An Ontology of Data Mining.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report.
SIGKDD Explor., 2007

A Qualitative Decision-Support Model for Evaluating Researchers.
Informatica (Slovenia), 2007

Inducing Multi-Target Model Trees in a Stepwise Fashion.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

Combining Bagging and Random Subspaces to Create Better Ensembles.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Studying the Presence of Genetically Modified Variants in Organic Oilseed Rape by Using Relational Data Mining.
Proceedings of the Environmental Informatics and Systems Research: Proceedings of the 21st International Conference for Environmental Protection, 2007

Clustering Trees with Instance Level Constraints.
Proceedings of the Machine Learning: ECML 2007, 2007

Ensembles of Multi-Objective Decision Trees.
Proceedings of the Machine Learning: ECML 2007, 2007

Stepwise Induction of Multi-target Model Trees.
Proceedings of the Machine Learning: ECML 2007, 2007

Integrating Domain Knowledge in Equation Discovery.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007

Literature Based Discovery Support System and Its Application to Disease Gene Identification.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007

Computational Discovery of Scientific Knowledge.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007

2006
First order random forests: Learning relational classifiers with complex aggregates.
Mach. Learn., 2006

Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Towards a Slovene Dependency Treebank.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

Beam Search Induction and Similarity Constraints for Predictive Clustering Trees.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Analysis of Time Series Data with Predictive Clustering Trees.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Towards a General Framework for Data Mining.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

From Inductive Logic Programming to Relational Data Mining.
Proceedings of the Logics in Artificial Intelligence, 10th European Conference, 2006

Using Simulation Models and Data Mining to Study Co-Existence of GM/Non-GM Crops at Regional Level.
Proceedings of the Managing Environmental Knowledge: Proceedings of the 20th International Conference for Environmental Protection, 2006

Using Decision Trees to Predict Forest Stand Height and Canopy Cover from LANDSAT and LIDAR Data.
Proceedings of the Managing Environmental Knowledge: Proceedings of the 20th International Conference for Environmental Protection, 2006

Predicting Aggregate Properties of Soil Communities vs. Community Structure in an Agricultural Setting.
Proceedings of the Managing Environmental Knowledge: Proceedings of the 20th International Conference for Environmental Protection, 2006

Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations.
Proceedings of the Discovery Science, 9th International Conference, 2006

2005
Multi-Relational Data Mining 2005: workshop report.
SIGKDD Explor., 2005

Learning Predictive Clustering Rules.
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Constraint Based Induction of Multi-objective Regression Trees.
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics.
Proceedings of the Progress in Artificial Intelligence, 2005

Modelling Outcrossing of Transgenes in Maize Between Neighboring Maize Fields.
Proceedings of the Networking Environmental Information: Proceedings of the 19th International Conference for Environmental Protection, 2005

Using Data Mining to Assess the Effects of Bt Baize on Soil Microarthropods.
Proceedings of the Networking Environmental Information: Proceedings of the 19th International Conference for Environmental Protection, 2005

A Qualitative Multi-attribute Model for Economic and Ecological Evaluation of Genetically Modified Crops.
Proceedings of the Networking Environmental Information: Proceedings of the 19th International Conference for Environmental Protection, 2005

Combining Model-Based and Instance-Based Learning for First Order Regression.
Proceedings of the BNAIC 2005, 2005

Relational Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
A report on the fourth international workshop on environmental applications of machine learning (EAML 2004).
SIGKDD Explor., 2004

Multi-relational data mining 2004: workshop report.
SIGKDD Explor., 2004

Is Combining Classifiers with Stacking Better than Selecting the Best One?
Mach. Learn., 2004

Integrating Guidance into Relational Reinforcement Learning.
Mach. Learn., 2004

Multi-Attribute Modelling of Economic and Ecological Impacts of Cropping Systems.
Informatica (Slovenia), 2004

Machine Learning of Morphosyntactic Structure: Lemmatizing Unknown Slovene Words.
Appl. Artif. Intell., 2004

Experiments In Predicting Biodegradability.
Appl. Artif. Intell., 2004

First Order Random Forests with Complex Aggregates.
Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Relating personality traits and mercury exposure in miners with machine learning methods.
Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004

Integrating Knowledge-Driven and Data-Driven Approaches to Modeling.
Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004

Discovering the most important factors for communities of soil microarthropods using machine learning.
Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004

Inducing Polynomial Equations for Regression.
Proceedings of the Machine Learning: ECML 2004, 2004

Inductive Databases of Polynomial Equations.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004


Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.
Proceedings of the Local Pattern Detection, 2004

Inductive Queries on Polynomial Equations.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003
Multirelational data mining 2003: workshop report.
SIGKDD Explor., 2003

Multi-relational data mining: the current frontiers.
SIGKDD Explor., 2003

Multi-relational data mining: an introduction.
SIGKDD Explor., 2003

Combining Classifiers with Meta Decision Trees.
Mach. Learn., 2003

Using Domain Specific Knowledge for Automated Modeling.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

Modelling Soil Radon Concentration for Earthquake Prediction.
Proceedings of the Discovery Science, 6th International Conference, 2003

Using Constraints in Discovering Dynamics.
Proceedings of the Discovery Science, 6th International Conference, 2003

2002
Multi-Relational Data Mining: a Workshop Report.
SIGKDD Explor., 2002

Stacking with Multi-response Model Trees.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

A Machine Learning Approach to Automatic Functor Assignment in the Prague Dependency Treebank.
Proceedings of the Third International Conference on Language Resources and Evaluation, 2002

Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

Inducing Process Models from Continuous Data.
Proceedings of the Machine Learning, 2002

Is Combining Classifiers Better than Selecting the Best One.
Proceedings of the Machine Learning, 2002

Integrating Experimentation and Guidance in Relational Reinforcement Learning.
Proceedings of the Machine Learning, 2002

Stacking with an Extended Set of Meta-level Attributes and MLR.
Proceedings of the Machine Learning: ECML 2002, 2002

Ranking with Predictive Clustering Trees.
Proceedings of the Machine Learning: ECML 2002, 2002

Relational Reinforcement Learning for Agents in Worlds with Objects.
Proceedings of the Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning, 2002

2001
A Machine Learning Approach to Automatic Functor Assignment in the Prague Dependency Treebank.
Prague Bull. Math. Linguistics, 2001

Editorial: Inductive Logic Programming is Coming of Age.
Mach. Learn., 2001

Relational Reinforcement Learning.
Mach. Learn., 2001

Knowledge discovery by means of inductive methods in wastewater treatment plannt data.
AI Commun., 2001

Supporting Discovery in Medicine by Association Rule Mining in Medline and UMLS.
Proceedings of the MEDINFO 2001, 2001

A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery.
Proceedings of the Machine Learning: EMCL 2001, 2001

Theory Revision in Equation Discovery.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

Computational Discovery of Communicable Knowledge: Symposium Report.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

Literature-based Discovery Support System and Its Application to Disease Gene Identification.
Proceedings of the AMIA 2001, 2001

2000
Predicting Chemical Parameters of River Water Quality from Bioindicator Data.
Appl. Intell., 2000

Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains.
Appl. Artif. Intell., 2000

Combining Multiple Models with Meta Decision Trees.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Morphosyntactic Tagging of Slovene: Evaluating Taggers and Tagsets.
Proceedings of the Second International Conference on Language Resources and Evaluation, 2000

Discovering the Structure of Partial Differential Equations from Example Behaviour.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Using data mining and OLAP to discover patterns in a database of patients with Y-chromosome deletions.
Proceedings of the AMIA 2000, 2000

1999
Inductive Logic Programming for Relational Knowledge Discovery.
New Gener. Comput., 1999

Editorial.
Data Min. Knowl. Discov., 1999

Experiments in Meta-level Learning with ILP.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

WWW search engine for Slovenian and English medical documents.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

Learning to Lemmatise Slovene Words.
Proceedings of the Learning Language in Logic, 1999

An Introduction to Inductive Logic Programming and Learning Language in Logic.
Proceedings of the Learning Language in Logic, 1999

Morphosyntactic Tagging of Slovene Using Progol.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998
Acquiring background knowledge for machine learning using function decomposition: a case study in rheumatology.
Artif. Intell. Medicine, 1998

Diterpene Structure Elucidation from 13CNMR Spectra with Inductive Logic Programming.
Appl. Artif. Intell., 1998

Learning Multilingual Morphology with CLOG.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Relational Reinforcement Learning.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Detecting Traffic Problems with ILP.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

ILP Experiments in Detecting Traffic Problems.
Proceedings of the Machine Learning: ECML-98, 1998

1997
On Multi-class Problems and Discretization in Inductive Logic Programming.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

Induction of Slovene Nominal Paradigms.
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

Integrating Explanatory and Descriptive Learning in ILP.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Declarative Bias in Equation Discovery.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Acquiring and Validating Background Knowledge for Machine Learning Using Function Decomposition.
Proceedings of the Artificial Intelligence Medicine, 1997

Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children.
Proceedings of the Artificial Intelligence Medicine, 1997

1996
A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications".
Mach. Learn., 1996

ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography.
AI Commun., 1996

Applying ILP to Diterpene Structure Elucidation from <sup>13</sup>C NMR Spectra.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois.
Proceedings of the Algorithmic Learning Theory, 7th International Workshop, 1996

Inductive Logic Programming and Knowledge Discovery in Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining., 1996

1995
Engineering Applications of ILP.
New Gener. Comput., 1995

Discovering Dynamics: From Inductive Logic Programming to Machine Discovery.
J. Intell. Inf. Syst., 1995

Learning First-order Clausal Theories in the Presence of Noise.
Proceedings of the Fifth Scandinavian Conference on Artificial Intelligence, 1995

Knowledge Discovery in a Water Quality Database.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

1994
Inductive Logic Programming and Learnability.
SIGART Bull., 1994

Weakening the language bias in LINUS.
J. Exp. Theor. Artif. Intell., 1994

First-Order jk-Clausal Theories are PAC-Learnable.
Artif. Intell., 1994

Discovering Dynamics with Genetic Programming.
Proceedings of the Machine Learning: ECML-94, 1994

Inductive logic programming - techniques and applications.
Ellis Horwood series in artificial intelligence, Ellis Horwood, ISBN: 978-0-13-457870-5, 1994

1993
Inductive Learning in Deductive Databases.
IEEE Trans. Knowl. Data Eng., 1993

The utility of background knowledge in learning medical diagnostic rules.
Appl. Artif. Intell., 1993

Handling Imperfetc Data in Inductive Logic Programming.
Proceedings of the Fourth Scandinavian Conference on Artificial Intelligence, 1993

Multiple Predicate Learning.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Discovering Dynamics.
Proceedings of the Machine Learning, 1993

Learnability of Constrained Logic Programs.
Proceedings of the Machine Learning: ECML-93, 1993

1992
PAC-Learnability of Determinate Logic Programs.
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

Background Knowledge and Declarative Bias in Inductive Concept Learning.
Proceedings of the Analogical and Inductive Inference, 1992

1991
Learning Rules for Early Diagnosis of Rheumatic Diseases.
Proceedings of the Third Scandinavian Conference on Artificial Intelligence, 1991

Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL.
Proceedings of the Eighth International Workshop (ML91), 1991

Learning Nonrecursive Definitions of Relations with LINUS.
Proceedings of the Machine Learning, 1991


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