Nada Lavrac

According to our database1, Nada Lavrac
  • authored at least 197 papers between 1986 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

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 Generation Comp. 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

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.
Machine Learning, 2016

A framework for redescription set construction.
CoRR, 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.
Proceedings of the Seventh International Conference on Computational Creativity, UPMC, Paris, France, June 27, 2016

Computational Creativity Conceptualisation Grounded on ICCC Papers.
Proceedings of the Seventh International Conference on Computational Creativity, UPMC, Paris, France, June 27, 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. Manage., 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, Park City, Utah, USA, June 29, 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.
I. J. Computational Biology and Drug Design, 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 Bioinformatics, 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

Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization.
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, 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, Dublin, Ireland, May 30, 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. Automation Science and Engineering, 2011

Expert-Guided Subgroup Discovery: Methodology and Application
CoRR, 2011

SegMine workflows for semantic microarray data analysis in Orange4WS.
BMC Bioinformatics, 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

Supervised Descriptive Rule Induction.
Proceedings of the Encyclopedia of Machine Learning, 2010

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

LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules.
J. UCS, 2010

Supporting the search for cross-context links by outlier detection methods.
BMC Bioinformatics, 2010

Identification of concepts bridging diverse biomedical domains.
BMC Bioinformatics, 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).
Machine Learning, 2009

Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining.
Journal of Machine Learning Research, 2009

CSM-SD: Methodology for contrast set mining through subgroup discovery.
Journal of Biomedical Informatics, 2009

2008
Learning Relational Descriptions of Differentially Expressed Gene Groups.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2008

Closed Sets for Labeled Data.
Journal of Machine Learning Research, 2008

SEGS: Search for enriched gene sets in microarray data.
Journal of Biomedical 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. Systems, Man, and Cybernetics, Part C, 2007

Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2007

Data mining and visualization for decision support and modeling of public health-care resources.
Journal of Biomedical 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.
Machine Learning, 2006

APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.
Applied Artificial Intelligence, 2006

Relational Descriptive Analysis of Gene Expression Data.
Proceedings of the STAIRS 2006, 2006

Closed Sets for Labeled Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 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

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

2004
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.
Machine Learning, 2004

Editorial: Data Mining Lessons Learned.
Machine Learning, 2004

Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned.
Machine Learning, 2004

Subgroup Discovery with CN2-SD.
Journal of Machine Learning Research, 2004

Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.
Journal of Biomedical 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.
Journal of Intelligent and Fuzzy Systems, 2003

Active subgroup mining: a case study in coronary heart disease risk group detection.
Artificial Intelligence in 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.
Journal of Intelligent and Fuzzy Systems, 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.
Artificial Intelligence in 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.
Applied Artificial Intelligence, 2000

Predictive Performance of Weghted Relative Accuracy.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Confirmation Rule Sets.
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 Generation Comput., 1999

A Study of Relevance for Learning in Deductive Databases.
J. Log. Program., 1999

Editorial.
Data Min. Knowl. Discov., 1999

Selected techniques for data mining in medicine.
Artificial Intelligence in 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 Intelligent Systems, 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.
Journal of Chemical Information and Computer Sciences, 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".
Machine Learning, 1996

Induktive Logikprogrammierung - Grundlagen und Techniken.
KI, 1996

Multiple Predicate Learning in Two Inductive Logic Programming Settings.
Logic Journal of the 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.
WLP, 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.
Applied Artificial Intelligence, 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.
ECAI, 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.
SCAI, 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 Newsletter, 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


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