Saso Dzeroski
Orcid: 0000-0003-2363-712XAffiliations:
- Jožef Stefan Institute, Department of Intelligent Systems
According to our database1,
Saso Dzeroski
authored at least 310 papers
between 1991 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on kt.ijs.si
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Bibliography
2024
MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets.
Expert Syst. Appl., March, 2024
Survival analysis as semi-supervised multi-target regression for time-to-employment prediction using oblique predictive clustering trees.
Expert Syst. Appl., January, 2024
2023
IEEE Trans. Evol. Comput., December, 2023
SoftwareX, December, 2023
Empowering Participatory Research in Urban Health: Wearable Biometric and Environmental Sensors for Activity Recognition.
Sensors, December, 2023
Correction to: efficient generator of mathematical expressions for symbolic regression.
Mach. Learn., December, 2023
Mach. Learn., November, 2023
Quantum Mach. Intell., June, 2023
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations.
Mach. Learn., April, 2023
Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images.
Remote. Sens., January, 2023
Dimensionally-consistent equation discovery through probabilistic attribute grammars.
Inf. Sci., 2023
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence.
CoRR, 2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems.
CoRR, 2023
Aging and rejuvenating strategies for fading windows in multi-label classification on data streams.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression.
Proceedings of the Discovery Science - 26th International Conference, 2023
2022
Sensors, 2022
Mach. Learn., 2022
J. Cheminformatics, 2022
Explaining the performance of multilabel classification methods with data set properties.
Int. J. Intell. Syst., 2022
Expert Syst. Appl., 2022
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification.
CoRR, 2022
Comput. Biol. Medicine, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
The importance of landscape features for performance prediction of modular CMA-ES variants.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
2021
Int. J. Intell. Syst., 2021
Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland.
Ecol. Informatics, 2021
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data.
CoRR, 2021
Explaining the Performance of Multi-label Classification Methods with Data Set Properties.
CoRR, 2021
Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors.
Comput. Biol. Medicine, 2021
Relating Prenatal Hg Exposure and Neurological Development in Children with Machine Learning.
Proceedings of the 44th International Convention on Information, 2021
Using Machine Learning to Identify Factors Contributing to Mould in the Celje Ceiling Painting.
Proceedings of the 44th International Convention on Information, 2021
Modeling the Association Between Prenatal Exposure to Mercury and Neurodevelopment of Children.
Proceedings of the ICT Innovations 2021. Digital Transformation, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
2020
Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN.
Remote. Sens., 2020
PeerJ Comput. Sci., 2020
Incremental predictive clustering trees for online semi-supervised multi-target regression.
Mach. Learn., 2020
Expert Syst. Appl., 2020
Combinatorial search for selecting the structure of models of dynamical systems with equation discovery.
Eng. Appl. Artif. Intell., 2020
CoRR, 2020
Comput. Sci. Inf. Syst., 2020
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020
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
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
2019
Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors.
IEEE Access, 2019
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
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
2018
Mach. Learn., 2018
Redescription mining augmented with random forest of multi-target predictive clustering trees.
J. Intell. Inf. Syst., 2018
Informatica (Slovenia), 2018
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft.
CoRR, 2018
Comput. Sci. Inf. Syst., 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
2017
Mach. Learn., 2017
Knowl. Based Syst., 2017
J. Intell. Inf. Syst., 2017
CoRR, 2017
Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients.
CoRR, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
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
Proceedings of the Discovery Science - 20th International Conference, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
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
IEEE Trans. Fuzzy Syst., 2016
J. Intell. Inf. Syst., 2016
Inf. Sci., 2016
Learning stochastic process-based models of dynamical systems from knowledge and data.
BMC Syst. Biol., 2016
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
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016
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
Proceedings of the Discovery Science - 19th International Conference, 2016
2015
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
Adv. Eng. Informatics, 2015
Semi-supervised learning for multi-target regression (Discussion paper).
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015
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
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
Environ. Model. Softw., 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
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014
Proceedings of the 13th European Control Conference, 2014
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
2013
Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships.
PLoS Comput. Biol., 2013
Informatica (Slovenia), 2013
Hybrid Decision Tree Architecture Utilizing Local SVMs for Efficient Multi-Label Learning.
Int. J. Pattern Recognit. Artif. Intell., 2013
Ecol. Informatics, 2013
Ecol. Informatics, 2013
Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction.
BMC Bioinform., 2013
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
Proceedings of the Discovery Science - 16th International Conference, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
2012
Pattern Recognit., 2012
Hierarchical classification of diatom images using ensembles of predictive clustering trees.
Ecol. Informatics, 2012
Data Min. Knowl. Discov., 2012
2011
Environ. Model. Softw., 2011
Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.
BMC Syst. Biol., 2011
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the Formal Concept Analysis - 9th International Conference, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011
Proceedings of the 2011 Joint EDBT/ICDT Ph.D. Workshop, Uppsala, Sweden, March 25, 2011, 2011
Proceedings of the Discovery Science - 14th International Conference, 2011
Proceedings of the Discovery Science - 14th International Conference, 2011
2010
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
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
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
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
2009
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
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
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
Informatica (Slovenia), 2007
Inducing Multi-Target Model Trees in a Stepwise Fashion.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007
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
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
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
Proceedings of the Computational Discovery of Scientific Knowledge, 2007
2006
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
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006
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
Proceedings of the Discovery Science, 9th International Conference, 2006
2005
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005
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
Proceedings of the Networking Environmental Information: Proceedings of the 19th International Conference for Environmental Protection, 2005
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
Mach. Learn., 2004
Multi-Attribute Modelling of Economic and Ecological Impacts of Cropping Systems.
Informatica (Slovenia), 2004
Appl. Artif. Intell., 2004
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
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
Proceedings of the Machine Learning: ECML 2004, 2004
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004
Proceedings of the Perspectives Workshop: Data Mining: The Next Generation, 11.07., 2004
Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.
Proceedings of the Local Pattern Detection, 2004
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004
2003
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Proceedings of the Discovery Science, 6th International Conference, 2003
Proceedings of the Discovery Science, 6th International Conference, 2003
2002
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
Proceedings of the Machine Learning: ECML 2002, 2002
Proceedings of the Machine Learning: ECML 2002, 2002
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
Knowledge discovery by means of inductive methods in wastewater treatment plannt data.
AI Commun., 2001
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
Proceedings of the Machine Learning: EMCL 2001, 2001
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001
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
Appl. Intell., 2000
Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains.
Appl. Artif. Intell., 2000
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
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
New Gener. Comput., 1999
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
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999
Proceedings of the Learning Language in Logic, 1999
Proceedings of the Learning Language in Logic, 1999
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
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
Proceedings of the Machine Learning: ECML-98, 1998
1997
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997
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
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
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996
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
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
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
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
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
Proceedings of the Machine Learning: ECML-93, 1993
1992
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992
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
Proceedings of the Eighth International Workshop (ML91), 1991
Proceedings of the Machine Learning, 1991