2025
HorNets: learning from discrete and continuous signals with routing neural networks.
Mach. Learn., April, 2025
Extracting domain-specific terms using contextual word embeddings.
CoRR, February, 2025
Make Literature-Based Discovery Great Again Through Reproducible Pipelines.
Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025
2024
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis.
CoRR, 2024
AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
2023
Multimodal AutoML via Representation Evolution.
Mach. Learn. Knowl. Extr., March, 2023
Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data.
CoRR, 2023
DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks.
CoRR, 2023
Inducing Document Representations from Graphs: A Blueprint.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
2022
Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation.
Mach. Learn. Knowl. Extr., December, 2022
ReliefE: feature ranking in high-dimensional spaces via manifold embeddings.
Mach. Learn., 2022
Deep node ranking for neuro-symbolic structural node embedding and classification.
Int. J. Intell. Syst., 2022
NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering.
IEEE Access, 2022
2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification.
Mach. Learn., 2021
PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks.
Frontiers Res. Metrics Anal., 2021
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification.
Comput. Speech Lang., 2021
Link Analysis meets Ontologies: Are Embeddings the Answer?
CoRR, 2021
Semantic Reasoning from Model-Agnostic Explanations.
CoRR, 2021
Transfer Learning for Node Regression Applied to Spreading Prediction.
Complex Syst., 2021
CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets.
Bioinform., 2021
Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods.
Proceedings of the Twelfth International Conference on Computational Creativity, 2021
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions.
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Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021
BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021
Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning.
Proceedings of the Discovery Science - 24th International Conference, 2021
Stratification of Parkinson's Disease Patients via Multi-view Clustering.
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach.
New Gener. Comput., 2020
Embedding-based Silhouette community detection.
Mach. Learn., 2020
Propositionalization and embeddings: two sides of the same coin.
Mach. Learn., 2020
Advancing manufacturing systems with big-data analytics: A conceptual framework.
Int. J. Comput. Integr. Manuf., 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations.
IEEE Access, 2020
Bisociative Literature-Based Discovery: Lessons Learned and New Prospects.
Proceedings of the Eleventh International Conference on Computational Creativity, 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
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining.
Proceedings of the Discovery Science - 23rd International Conference, 2020
Prediction of the Effects of Epidemic Spreading with Graph Neural Networks.
Proceedings of the Complex Networks & Their Applications IX, 2020
Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection.
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture.
Mach. Learn. Knowl. Extr., 2019
Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data.
Mach. Learn. Knowl. Extr., 2019
NetSDM: Semantic Data Mining with Network Analysis.
J. Mach. Learn. Res., 2019
CBSSD: community-based semantic subgroup discovery.
J. Intell. Inf. Syst., 2019
Computational creativity infrastructure for online software composition: A conceptual blending use case.
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IBM J. Res. Dev., 2019
Conceptual Representations for Computational Concept Creation.
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ACM Comput. Surv., 2019
Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification.
CoRR, 2019
Interactive exploration of heterogeneous biological networks with Biomine Explorer.
Bioinform., 2019
Py3plex toolkit for visualization and analysis of multilayer networks.
Appl. Netw. Sci., 2019
Symbolic Graph Embedding Using Frequent Pattern Mining.
Proceedings of the Discovery Science - 22nd International Conference, 2019
Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression.
Proceedings of the Artificial Intelligence in Medicine, 2019
Bisociative Knowledge Discovery for Cross-domain Literature Mining.
Proceedings of the Computational Creativity, 2019
2018
Correction to: Analysis of medications change in Parkinson's disease progression data.
J. Intell. Inf. Syst., 2018
Analysis of medications change in Parkinson's disease progression data.
J. Intell. Inf. Syst., 2018
Redescription mining augmented with random forest of multi-target predictive clustering trees.
J. Intell. Inf. Syst., 2018
HINMINE: heterogeneous information network mining with information retrieval heuristics.
J. Intell. Inf. Syst., 2018
Computational Creativity in Slovenia.
Informatica (Slovenia), 2018
Towards Creative Software Blending: Computational Infrastructure and Use Cases.
Informatica (Slovenia), 2018
Discovering dependencies between domains of redox potential and plant defence through triplet extraction and copulas.
Int. J. Intell. Eng. Informatics, 2018
Symptoms and medications change patterns for Parkinson's disease patients stratification.
Artif. Intell. Medicine, 2018
Targeted End-to-End Knowledge Graph Decomposition.
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018
Conceptualising Computational Creativity: Towards automated historiography of a research field.
Proceedings of the Ninth International Conference on Computational Creativity, 2018
Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns.
Proceedings of the Discovery Science - 21st International Conference, 2018
Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization.
Proceedings of the Complex Networks and Their Applications VII, 2018
2017
Supervised Descriptive Rule Induction.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
ClowdFlows: Online workflows for distributed big data mining.
Future Gener. Comput. Syst., 2017
Refinement and selection heuristics in subgroup discovery and classification rule learning.
Expert Syst. Appl., 2017
A framework for redescription set construction.
Expert Syst. Appl., 2017
Outlier based literature exploration for cross-domain linking of Alzheimer's disease and gut microbiota.
Expert Syst. Appl., 2017
Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients.
CoRR, 2017
Community-Based Semantic Subgroup Discovery.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017
Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification.
Proceedings of the Artificial Intelligence in Medicine, 2017
2016
Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform.
Proceedings of the Machine Learning for Health Informatics, 2016
Machine Learning and Data Mining Methods for Managing Parkinson's Disease.
Proceedings of the Machine Learning for Health Informatics, 2016
TextFlows: A visual programming platform for text mining and natural language processing.
Sci. Comput. Program., 2016
Explaining mixture models through semantic pattern mining and banded matrix visualization.
Mach. Learn., 2016
Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.
Brain Informatics, 2016
Co-Bidding Graphs for Constrained Paper Clustering.
Proceedings of the 5th Symposium on Languages, Applications and Technologies, 2016
Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016
Network Ranking Assisted Semantic Data Mining.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Dynamic Parameter Adaptation of SVM Based Active Learning Methodology.
Proceedings of the Workshop on Active Learning: Applications, 2016
Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case.
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Proceedings of the Seventh International Conference on Computational Creativity, 2016
Computational Creativity Conceptualisation Grounded on ICCC Papers.
Proceedings of the Seventh International Conference on Computational Creativity, 2016
Detection of dependencies between literature domains through relation extraction and copulas.
Proceedings of the International Conference on Control, 2016
2015
Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform.
Inf. Process. Manag., 2015
Relating ensemble diversity and performance: A study in class noise detection.
Neurocomputing, 2015
Wordification: Propositionalization by unfolding relational data into bags of words.
Expert Syst. Appl., 2015
RoboCHAIR: Creative Assistant for Question Generation and Ranking.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Redescription Mining with Multi-target Predictive Clustering Trees.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015
Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015
Mining Text Enriched Heterogeneous Citation Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Relational and Semantic Data Mining - - Invited Talk -.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2015
Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
The Good, the Bad, and the AHA! Blends.
Proceedings of the Sixth International Conference on Computational Creativity, 2015
Identification of Gender Specific Biomarkers for Alzheimer's Disease.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
2014
Semantic subgroup explanations.
J. Intell. Inf. Syst., 2014
Stream-based active learning for sentiment analysis in the financial domain.
Inf. Sci., 2014
Plant defence model revisions through iterative minimisation of constraint violations.
Int. J. Comput. Biol. Drug Des., 2014
Ensemble-based noise detection: noise ranking and visual performance evaluation.
Data Min. Knowl. Discov., 2014
GMOseek: a user friendly tool for optimized GMO testing.
BMC Bioinform., 2014
Propositionalization Online.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Baseline Methods for Automated Fictional Ideation.
Proceedings of the Fifth International Conference on Computational Creativity, 2014
Multilayer Clustering: A Discovery Experiment on Country Level Trading Data.
Proceedings of the Discovery Science - 17th International Conference, 2014
2013
Relational and Semantic Data Mining for Biomedical Research.
Informatica (Slovenia), 2013
Semantic Subgroup Discovery Systems and Workflows in the SDM-Toolkit.
Comput. J., 2013
Contrasting Subgroup Discovery.
Comput. J., 2013
A Methodology for Mining Document-Enriched Heterogeneous Information Networks.
Comput. J., 2013
Predictive Sentiment Analysis of Tweets: A Stock Market Application.
Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013
HCI Empowered Literature Mining for Cross-Domain Knowledge Discovery.
Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013
ViperCharts: Visual Performance Evaluation Platform.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Incremental revision of biological networks from texts.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
Semantic Data Mining of Financial News Articles.
Proceedings of the Discovery Science - 16th International Conference, 2013
A Wordification Approach to Relational Data Mining.
Proceedings of the Discovery Science - 16th International Conference, 2013
Real-time data analysis in ClowdFlows.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Integrating semantic transcriptomic data analysis and knowledge extraction from biological literature.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Exploring the Power of Outliers for Cross-Domain Literature Mining.
Proceedings of the Bisociative Knowledge Discovery, 2012
Bisociative Knowledge Discovery by Literature Outlier Detection.
Proceedings of the Bisociative Knowledge Discovery, 2012
Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis.
Proceedings of the Bisociative Knowledge Discovery, 2012
Applications and Evaluation: Overview.
Proceedings of the Bisociative Knowledge Discovery, 2012
Modelling a Biological System: Network Creation by Triplet Extraction from Biological Literature.
Proceedings of the Bisociative Knowledge Discovery, 2012
Bridging Concept Identification for Constructing Information Networks from Text Documents.
Proceedings of the Bisociative Knowledge Discovery, 2012
Bisociative Literature Mining by Ensemble Heuristics.
Proceedings of the Bisociative Knowledge Discovery, 2012
Foundations of Rule Learning
Cognitive Technologies, Springer, ISBN: 978-3-540-75196-0, 2012
Orange4WS Environment for Service-Oriented Data Mining.
Comput. J., 2012
Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining.
Comput. J., 2012
Explaining Subgroups through Ontologies.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012
ClowdFlows: A Cloud Based Scientific Workflow Platform.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Irregularity Detection in Categorized Document Corpora.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012
NLP workflow for on-line definition extraction from English and Slovene text corpora.
Proceedings of the 11th Conference on Natural Language Processing, 2012
A Wordification Approach to Relational Data Mining: Early Results.
Proceedings of the Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, 2012
Cross-domain literature mining: Finding bridging concepts with CrossBee.
Proceedings of the Third International Conference on Computational Creativity, 2012
Advances in Data Mining for Biomedical Research.
Proceedings of CBMS 2012, 2012
Constraint-driven optimization of plant defense model parameters.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012
2011
Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning.
IEEE Trans Autom. Sci. Eng., 2011
SegMine workflows for semantic microarray data analysis in Orange4WS.
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BMC Bioinform., 2011
Using Ontologies in Semantic Data Mining with g-SEGS and Aleph.
Proceedings of the Latest Advances in Inductive Logic Programming, 2011
Using Ontologies in Semantic Data Mining with SEGS and g-SEGS.
Proceedings of the Discovery Science - 14th International Conference, 2011
A Methodology for Mining Document-Enriched Heterogeneous Information Networks.
Proceedings of the Discovery Science - 14th International Conference, 2011
Evaluating Outliers for Cross-Context Link Discovery.
Proceedings of the Artificial Intelligence in Medicine, 2011
2010
Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010
Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming.
Proceedings of the Computational Social Network Analysis, 2010
Supervised Descriptive Rule Induction.
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules.
J. Univers. Comput. Sci., 2010
Supporting the search for cross-context links by outlier detection methods.
BMC Bioinform., 2010
Identification of concepts bridging diverse biomedical domains.
BMC Bioinform., 2010
Performance Analysis of Class Noise Detection Algorithms.
Proceedings of the STAIRS 2010, 2010
Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010
Workflow Construction for Service-Oriented Knowledge Discovery.
Proceedings of the Leveraging Applications of Formal Methods, Verification, and Validation, 2010
Bisociative Knowledge Discovery for Microarray Data Analysis.
Proceedings of the International Conference on Computational Creativity, 2010
Advances in Class Noise Detection.
Proceedings of the ECAI 2010, 2010
Efficient Visualization of Document Streams.
Proceedings of the Discovery Science - 13th International Conference, 2010
2009
Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008).
Mach. Learn., 2009
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining.
J. Mach. Learn. Res., 2009
CSM-SD: Methodology for contrast set mining through subgroup discovery.
J. Biomed. Informatics, 2009
2008
Learning Relational Descriptions of Differentially Expressed Gene Groups.
IEEE Trans. Syst. Man Cybern. Part C, 2008
Closed Sets for Labeled Data.
J. Mach. Learn. Res., 2008
SEGS: Search for enriched gene sets in microarray data.
J. Biomed. Informatics, 2008
Ripple Down Rule learning for automated word lemmatisation.
AI Commun., 2008
Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
Advancing Topic Ontology Learning through Term Extraction.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
On the Design of Knowledge Discovery Services Design Patterns and Their Application in a Use Case Implementation.
Proceedings of the Leveraging Applications of Formal Methods, 2008
2007
An Ontology for Virtual Organization Breeding Environments.
IEEE Trans. Syst. Man Cybern. Part C, 2007
Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates.
IEEE Trans. Syst. Man Cybern. Part C, 2007
Data mining and visualization for decision support and modeling of public health-care resources.
J. Biomed. Informatics, 2007
Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis.
Appl. Intell., 2007
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Efficient Generation of Biologically Relevant Enriched Gene Sets.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007
Collaboration Opportunity Finder.
Proceedings of the Establishing The Foundation of Collaborative Networks, 2007
Interpreting Gene Expression Data by Searching for Enriched Gene Sets.
Proceedings of the Artificial Intelligence in Medicine, 2007
Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization.
Proceedings of the Artificial Intelligence in Medicine, 2007
Contrast Set Mining for Distinguishing Between Similar Diseases.
Proceedings of the Artificial Intelligence in Medicine, 2007
Supporting Factors in Descriptive Analysis of Brain Ischaemia.
Proceedings of the Artificial Intelligence in Medicine, 2007
2006
Propositionalization-based relational subgroup discovery with RSD.
Mach. Learn., 2006
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.
Appl. Artif. Intell., 2006
Relational Descriptive Analysis of Gene Expression Data.
Proceedings of the STAIRS 2006, 2006
Relational Data Mining Applied to Virtual Engineering of Product Designs.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Enhancing Human Choice by Information Technologies.
Proceedings of the Social Informatics: An Information Society for all? In Remembrance of Rob Kling, 2006
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data.
Proceedings of the Computational Life Sciences II, 2006
2005
Subgroup Discovery Techniques and Applications.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
A Decision Support Approach to Trust Modeling in Networked Organizations.
Proceedings of the Collaborative Networks and Their Breeding Environments, 2005
Hierarchical Multi-Attribute Decision Support Approach to Virtual Organization Creation.
Proceedings of the Collaborative Networks and Their Breeding Environments, 2005
Data Mining for Decision Support: An Application in Public Health Care.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005
A Decision Support Approach to Modeling Trust in Networked Organizations.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005
SolEuNet: Selected Data Mining Techniques and Applications.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005
Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies.
Proceedings of the Artificial Intelligence in Medicine, 2005
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
2004
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.
Mach. Learn., 2004
Editorial: Data Mining Lessons Learned.
Mach. Learn., 2004
Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned.
Mach. Learn., 2004
Subgroup Discovery with CN2-SD.
J. Mach. Learn. Res., 2004
Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.
J. Biomed. Informatics, 2004
ROC Analysis of Example Weighting in Subgroup Discovery.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004
Supporting a Public Health Care Virtual Organization by Knowledge Technologies.
Proceedings of the Virtual Enterprises and Collaborative Networks, IFIP 18th World Computer Congress, TC5 / WG5.5, 2004
Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.
Proceedings of the Local Pattern Detection, 2004
Relevancy in Constraint-Based Subgroup Discovery.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004
2003
Managing business intelligence in a virtual enterprise: A case study and knowledge management lessons learned.
J. Intell. Fuzzy Syst., 2003
Active subgroup mining: a case study in coronary heart disease risk group detection.
Artif. Intell. Medicine, 2003
Comparative Evaluation of Approaches to Propositionalization.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Analysis of Gene Expression Data by the Logic Minimization Approach.
Proceedings of the Artificial Intelligence in Medicine, 2003
2002
Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery.
J. Intell. Fuzzy Syst., 2002
Expert-Guided Subgroup Discovery: Methodology and Application.
J. Artif. Intell. Res., 2002
Generating Actionable Knowledge by Expert-Guided Subgroup Discovery.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002
RSD: Relational Subgroup Discovery through First-Order Feature Construction.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
Virtual Enterprise for Data Mining and Decision Support.
Proceedings of the Collaborative Business Ecosystems and Virtual Enterprises, 2002
Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain.
Proceedings of the Machine Learning, 2002
Adapting classification rule induction to subgroup discovery.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
Learning in Clausal Logic: A Perspective on Inductive Logic Programming.
Proceedings of the Computational Logic: Logic Programming and Beyond, 2002
2001
An extended transformation approach to inductive logic programming.
ACM Trans. Comput. Log., 2001
AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium.
Artif. Intell. Medicine, 2001
Classification Rule Learning with APRIORI-C.
Proceedings of the Progress in Artificial Intelligence, 2001
Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction.
Proceedings of the Machine Learning: EMCL 2001, 2001
2000
Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains.
Appl. Artif. Intell., 2000
Predictive Performance of Weghted Relative Accuracy.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Inconsistency Tests for Patient Records in a Coronary Heart Disease Database.
Proceedings of the Medical Data Analysis, First International Symposium, 2000
1999
Inductive Logic Programming for Relational Knowledge Discovery.
New Gener. Comput., 1999
A Study of Relevance for Learning in Deductive Databases.
J. Log. Program., 1999
Data Min. Knowl. Discov., 1999
Selected techniques for data mining in medicine.
Artif. Intell. Medicine, 1999
Rule Evaluation Measures: A Unifying View.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999
Experiments with Noise Filtering in a Medical Domain.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999
Challenges for Inductive Logic Programming.
Proceedings of the Progress in Artificial Intelligence, 1999
Machine Learning for Data Mining in Medicine.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999
Diagnostic Rules of Increased Reliability for Critical Medical Applications.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999
1998
A Relevancy Filter for Constructive Induction.
IEEE Intell. Syst., 1998
Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction.
AI Commun., 1998
Inductive Logic Programming for Relational Knowledge Discovery.
Proceedings of the 1998 Joint International Conference and Symposium on Logic Programming, 1998
1997
Global Energy Minimization of Small Molecules Combining Constraint Logic Programming and Molecular Mechanics.
J. Chem. Inf. Comput. Sci., 1997
Conditions for Occam's Razor Applicability and Noise Elimination.
Proceedings of the Machine Learning: ECML-97, 1997
Diagnosis of sport injuries with machine learning: explanation of induced decisions.
Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97), 1997
Using machine learning for outcome prediction of patients with severe head injury.
Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97), 1997
Machine Learning Applied to Diagnosis of Sport Injuries.
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
Induktive Logikprogrammierung - Grundlagen und Techniken.
Künstliche Intell., 1996
Multiple Predicate Learning in Two Inductive Logic Programming Settings.
Log. J. IGPL, 1996
ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography.
AI Commun., 1996
Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996
Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm.
Proceedings of the Algorithmic Learning Theory, 7th 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
1995
Inductive Logic Programming: A Survey of European Research.
AI Commun., 1995
1994
Weakening the language bias in LINUS.
J. Exp. Theor. Artif. Intell., 1994
Inductive Logic Programming.
Proceedings of the Tenth Logic Programming Workshop, 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
The Many Faces of Inductive Logic Programming.
Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993
Multiple Predicate Learning.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993
1992
Stochastic Search in Inductive Logic Programming.
Proceedings of the 10th European Conference on Artificial Intelligence, 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
1989
Methods for knowledge acquisition and refinement in second generation expert systems.
SIGART Newsl., 1989
KARDIO - a study in deep and qualitative knowledge for expert systems.
MIT Press, ISBN: 978-0-262-02273-6, 1989
1987
Review of Five Empirical Learning Systems Within a Proposed Schemata.
Proceedings of the Progress in Machine Learning, 1987
1986
The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986
1983
An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling.
Proceedings of the Logic Programming Workshop '83, Praia da Falésia, Algarve, Portugal, 26 June, 1983