Nada Lavrac

According to our database, Nada Lavrac authored at least 252 papers between 1983 and 2023.

Collaborative distances:

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

2023

Multimodal AutoML via Representation Evolution.

Blaz Skrlj, Matej Bevec, Nada Lavrac

Mach. Learn. Knowl. Extr., March, 2023

AHAM: Adapt, Help, Ask, Model - Harvesting LLMs for literature mining.

Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin

CoRR, 2023

Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data.

Boshko Koloski, Blaz Skrlj, Senja Pollak, Nada Lavrac

CoRR, 2023

DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks.

Jan Kralj, Blaz Skrlj, Ziva Ramsak, Nada Lavrac, Kristina Gruden

CoRR, 2023

Inducing Document Representations from Graphs: A Blueprint.

Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation.

Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj

Mach. Learn. Knowl. Extr., December, 2022

ReliefE: feature ranking in high-dimensional spaces via manifold embeddings.

Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic

Mach. Learn., 2022

Deep node ranking for neuro-symbolic structural node embedding and classification.

Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac

Int. J. Intell. Syst., 2022

NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering.

Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja

IEEE Access, 2022

2021

autoBOT: evolving neuro-symbolic representations for explainable low resource text classification.

Blaz Skrlj, Matej Martinc, Nada Lavrac, Senja Pollak

Mach. Learn., 2021

PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks.

Blaz Skrlj, Enja Kokalj, Nada Lavrac

Frontiers Res. Metrics Anal., 2021

tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification.

Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak

Comput. Speech Lang., 2021

Link Analysis meets Ontologies: Are Embeddings the Answer?

Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj

CoRR, 2021

Semantic Reasoning from Model-Agnostic Explanations.

Timen Stepisnik Perdih, Nada Lavrac, Blaz Skrlj

CoRR, 2021

Transfer Learning for Node Regression Applied to Spreading Prediction.

Sebastian Meznar, Nada Lavrac, Blaz Skrlj

Complex Syst., 2021

CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets.

Blaz Skrlj, Nika Erzen, Nada Lavrac, Tanja Kunej, Janez Konc

Bioinform., 2021

Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods.

Senja Pollak, Vid Podpecan, Janez Kranjc, Borut Lesjak, Nada Lavrac

Proceedings of the Twelfth International Conference on Computational Creativity, 2021

EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions.

Senja Pollak, Marko Robnik-Sikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjic, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppänen, Elaine Zosa, Matej Ulcar, Linda Freienthal, Silver Traat, Luis Adrián Cabrera-Diego, Matej Martinc, Nada Lavrac, Blaz Skrlj, Martin Znidarsic, Andraz Pelicon, Boshko Koloski, Vid Podpecan, Janez Kranjc, Shane Sheehan, Emanuela Boros, José G. Moreno, Antoine Doucet, Hannu Toivonen

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.

Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja

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.

Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac

Proceedings of the Discovery Science - 24th International Conference, 2021

Stratification of Parkinson's Disease Patients via Multi-view Clustering.

Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach.

Nada Lavrac, Matej Martinc, Senja Pollak, Marusa Pompe-Novak, Bojan Cestnik

New Gener. Comput., 2020

Embedding-based Silhouette community detection.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Mach. Learn., 2020

Propositionalization and embeddings: two sides of the same coin.

Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja

Mach. Learn., 2020

Advancing manufacturing systems with big-data analytics: A conceptual framework.

Dominik Kozjek, Rok Vrabic, Borut Rihtarsic, Nada Lavrac, Peter Butala

Int. J. Comput. Integr. Manuf., 2020

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations.

Sebastian Meznar, Nada Lavrac, Blaz Skrlj

IEEE Access, 2020

Bisociative Literature-Based Discovery: Lessons Learned and New Prospects.

Nada Lavrac, Matej Martinc, Senja Pollak, Bojan Cestnik

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Feature Importance Estimation with Self-Attention Networks.

Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic

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.

Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak

Proceedings of the Discovery Science - 23rd International Conference, 2020

Prediction of the Effects of Epidemic Spreading with Graph Neural Networks.

Sebastian Meznar, Nada Lavrac, Blaz Skrlj

Proceedings of the Complex Networks & Their Applications IX, 2020

Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection.

Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture.

Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak

Mach. Learn. Knowl. Extr., 2019

Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data.

Dragan Gamberger, Tjasa Stare, Dragana Miljkovic, Kristina Gruden, Nada Lavrac

Mach. Learn. Knowl. Extr., 2019

NetSDM: Semantic Data Mining with Network Analysis.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

J. Mach. Learn. Res., 2019

CBSSD: community-based semantic subgroup discovery.

Blaz Skrlj, Jan Kralj, Nada Lavrac

J. Intell. Inf. Syst., 2019

Computational creativity infrastructure for online software composition: A conceptual blending use case.

Pedro Martins, Hugo Gonçalo Oliveira, João Gonçalves, António Cruz, Amílcar Cardoso, Martin Znidarsic, Nada Lavrac, Simo Linkola, Hannu Toivonen, Raquel Hervás, Gonzalo Méndez, Pablo Gervás

IBM J. Res. Dev., 2019

Conceptual Representations for Computational Concept Creation.

Ping Xiao, Hannu Toivonen, Oskar Gross, Amílcar Cardoso, João Correia, Penousal Machado, Pedro Martins, Hugo Gonçalo Oliveira, Rahul Sharma, Alexandre Miguel Pinto, Alberto Díaz, Virginia Francisco, Pablo Gervás, Raquel Hervás, Carlos León, Jamie Forth, Matthew Purver, Geraint A. Wiggins, Dragana Miljkovic, Vid Podpecan, Senja Pollak, Jan Kralj, Martin Znidarsic, Marko Bohanec, Nada Lavrac, Tanja Urbancic, Frank van der Velde, Stuart Adam Battersby

ACM Comput. Surv., 2019

Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification.

Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac

CoRR, 2019

Interactive exploration of heterogeneous biological networks with Biomine Explorer.

Vid Podpecan, Ziva Ramsak, Kristina Gruden, Hannu Toivonen, Nada Lavrac

Bioinform., 2019

Py3plex toolkit for visualization and analysis of multilayer networks.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Appl. Netw. Sci., 2019

Symbolic Graph Embedding Using Frequent Pattern Mining.

Blaz Skrlj, Nada Lavrac, Jan Kralj

Proceedings of the Discovery Science - 22nd International Conference, 2019

Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression.

Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac

Proceedings of the Artificial Intelligence in Medicine, 2019

Bisociative Knowledge Discovery for Cross-domain Literature Mining.

Nada Lavrac, Matjaz Jursic, Borut Sluban, Matic Perovsek, Senja Pollak, Tanja Urbancic, Bojan Cestnik

Proceedings of the Computational Creativity, 2019

2018

Correction to: Analysis of medications change in Parkinson's disease progression data.

Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja

J. Intell. Inf. Syst., 2018

Analysis of medications change in Parkinson's disease progression data.

Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja

J. Intell. Inf. Syst., 2018

Redescription mining augmented with random forest of multi-target predictive clustering trees.

Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc

J. Intell. Inf. Syst., 2018

HINMINE: heterogeneous information network mining with information retrieval heuristics.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

J. Intell. Inf. Syst., 2018

Computational Creativity in Slovenia.

Senja Pollak, Geraint A. Wiggins, Martin Znidarsic, Nada Lavrac

Informatica (Slovenia), 2018

Towards Creative Software Blending: Computational Infrastructure and Use Cases.

Matej Martinc, Martin Znidarsic, Nada Lavrac, Senja Pollak

Informatica (Slovenia), 2018

Discovering dependencies between domains of redox potential and plant defence through triplet extraction and copulas.

Dragana Miljkovic, Nada Lavrac, Marko Bohanec, Biljana Mileva-Boshkoska

Int. J. Intell. Eng. Informatics, 2018

Symptoms and medications change patterns for Parkinson's disease patients stratification.

Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja

Artif. Intell. Medicine, 2018

Targeted End-to-End Knowledge Graph Decomposition.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

Conceptualising Computational Creativity: Towards automated historiography of a research field.

Geraint A. Wiggins, Nada Lavrac, Vid Podpecan, Senja Pollak

Proceedings of the Ninth International Conference on Computational Creativity, 2018

Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns.

Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac

Proceedings of the Discovery Science - 21st International Conference, 2018

Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Supervised Descriptive Rule Induction.

Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb

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

ClowdFlows: Online workflows for distributed big data mining.

Janez Kranjc, Roman Orac, Vid Podpecan, Nada Lavrac, Marko Robnik-Sikonja

Future Gener. Comput. Syst., 2017

Refinement and selection heuristics in subgroup discovery and classification rule learning.

Anita Valmarska, Nada Lavrac, Johannes Fürnkranz, Marko Robnik-Sikonja

Expert Syst. Appl., 2017

A framework for redescription set construction.

Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc

Expert Syst. Appl., 2017

Outlier based literature exploration for cross-domain linking of Alzheimer's disease and gut microbiota.

Donatella Gubiani, Elsa Fabbretti, Bojan Cestnik, Nada Lavrac, Tanja Urbancic

Expert Syst. Appl., 2017

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

Matej Mihelcic, Goran Simic, Mirjana Babic Leko, Nada Lavrac, Saso Dzeroski, Tomislav Smuc

CoRR, 2017

Community-Based Semantic Subgroup Discovery.

Blaz Skrlj, Jan Kralj, Anze Vavpetic, Nada Lavrac

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.

Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja

Proceedings of the Artificial Intelligence in Medicine, 2017

2016

Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform.

Matic Perovsek, Matjaz Jursic, Bojan Cestnik, Nada Lavrac

Proceedings of the Machine Learning for Health Informatics, 2016

Machine Learning and Data Mining Methods for Managing Parkinson's Disease.

Dragana Miljkovic, Darko Aleksovski, Vid Podpecan, Nada Lavrac, Bernd Malle, Andreas Holzinger

Proceedings of the Machine Learning for Health Informatics, 2016

TextFlows: A visual programming platform for text mining and natural language processing.

Matic Perovsek, Janez Kranjc, Tomaz Erjavec, Bojan Cestnik, Nada Lavrac

Sci. Comput. Program., 2016

Explaining mixture models through semantic pattern mining and banded matrix visualization.

Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén

Mach. Learn., 2016

Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.

Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Netta Shachar, Nada Lavrac

Brain Informatics, 2016

Co-Bidding Graphs for Constrained Paper Clustering.

Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja

Proceedings of the 5th Symposium on Languages, Applications and Technologies, 2016

Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis.

Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac

Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

Network Ranking Assisted Semantic Data Mining.

Jan Kralj, Anze Vavpetic, Michel Dumontier, Nada Lavrac

Proceedings of the Bioinformatics and Biomedical Engineering, 2016

Dynamic Parameter Adaptation of SVM Based Active Learning Methodology.

Jasmina Smailovic, Miha Grcar, Nada Lavrac, Martin Znidarsic

Proceedings of the Workshop on Active Learning: Applications, 2016

Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case.

Martin Znidarsic, Amílcar Cardoso, Pablo Gervás, Pedro Martins, Raquel Hervás, Ana Oliveira Alves, Hugo Gonçalo Oliveira, Ping Xiao, Simo Linkola, Hannu Toivonen, Janez Kranjc, Nada Lavrac

Proceedings of the Seventh International Conference on Computational Creativity, 2016

Computational Creativity Conceptualisation Grounded on ICCC Papers.

Senja Pollak, Biljana Mileva-Boshkoska, Dragana Miljkovic, Geraint A. Wiggins, Nada Lavrac

Proceedings of the Seventh International Conference on Computational Creativity, 2016

Detection of dependencies between literature domains through relation extraction and copulas.

Dragana Miljkovic, Nada Lavrac, Marko Bohanec, Biljana Mileva-Boshkoska

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.

Janez Kranjc, Jasmina Smailovic, Vid Podpecan, Miha Grcar, Martin Znidarsic, Nada Lavrac

Inf. Process. Manag., 2015

Relating ensemble diversity and performance: A study in class noise detection.

Borut Sluban, Nada Lavrac

Neurocomputing, 2015

Wordification: Propositionalization by unfolding relational data into bags of words.

Matic Perovsek, Anze Vavpetic, Janez Kranjc, Bojan Cestnik, Nada Lavrac

Expert Syst. Appl., 2015

RoboCHAIR: Creative Assistant for Question Generation and Ranking.

Senja Pollak, Borut Lesjak, Janez Kranjc, Vid Podpecan, Martin nidaric, Nada Lavrac

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Redescription Mining with Multi-target Predictive Clustering Trees.

Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc

Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Mining Text Enriched Heterogeneous Citation Networks.

Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Relational and Semantic Data Mining - - Invited Talk -.

Nada Lavrac, Anze Vavpetic

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2015

Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population.

Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

The Good, the Bad, and the AHA! Blends.

Pedro Martins, Tanja Urbancic, Senja Pollak, Nada Lavrac, Amílcar Cardoso

Proceedings of the Sixth International Conference on Computational Creativity, 2015

Identification of Gender Specific Biomarkers for Alzheimer's Disease.

Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac

Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2014

Semantic subgroup explanations.

Anze Vavpetic, Vid Podpecan, Nada Lavrac

J. Intell. Inf. Syst., 2014

Stream-based active learning for sentiment analysis in the financial domain.

Jasmina Smailovic, Miha Grcar, Nada Lavrac, Martin Znidarsic

Inf. Sci., 2014

Plant defence model revisions through iterative minimisation of constraint violations.

Dragana Miljkovic, Matjaz Depolli, Tjasa Stare, Igor Mozetic, Marko Petek, Kristina Gruden, Nada Lavrac

Int. J. Comput. Biol. Drug Des., 2014

Ensemble-based noise detection: noise ranking and visual performance evaluation.

Borut Sluban, Dragan Gamberger, Nada Lavrac

Data Min. Knowl. Discov., 2014

GMOseek: a user friendly tool for optimized GMO testing.

Dany Morisset, Petra Kralj Novak, Darko Zupanic, Kristina Gruden, Nada Lavrac, Jana Zel

BMC Bioinform., 2014

Propositionalization Online.

Nada Lavrac, Matic Perovsek, Anze Vavpetic

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Baseline Methods for Automated Fictional Ideation.

Maria Teresa Llano, Rose Hepworth, Simon Colton, Jeremy Gow, John William Charnley, Nada Lavrac, Martin Znidarsic, Matic Perovsek, Mark Granroth-Wilding, Stephen Clark

Proceedings of the Fifth International Conference on Computational Creativity, 2014

Multilayer Clustering: A Discovery Experiment on Country Level Trading Data.

Dragan Gamberger, Matej Mihelcic, Nada Lavrac

Proceedings of the Discovery Science - 17th International Conference, 2014

2013

Relational and Semantic Data Mining for Biomedical Research.

Nada Lavrac, Petra Kralj Novak

Informatica (Slovenia), 2013

Semantic Subgroup Discovery Systems and Workflows in the SDM-Toolkit.

Anze Vavpetic, Nada Lavrac

Comput. J., 2013

Contrasting Subgroup Discovery.

Laura Langohr, Vid Podpecan, Marko Petek, Igor Mozetic, Kristina Gruden, Nada Lavrac, Hannu Toivonen

Comput. J., 2013

A Methodology for Mining Document-Enriched Heterogeneous Information Networks.

Miha Grcar, Nejc Trdin, Nada Lavrac

Comput. J., 2013

Predictive Sentiment Analysis of Tweets: A Stock Market Application.

Jasmina Smailovic, Miha Grcar, Nada Lavrac, Martin Znidarsic

Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013

HCI Empowered Literature Mining for Cross-Domain Knowledge Discovery.

Matjaz Jursic, Bojan Cestnik, Tanja Urbancic, Nada Lavrac

Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013

ViperCharts: Visual Performance Evaluation Platform.

Borut Sluban, Nada Lavrac

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Incremental revision of biological networks from texts.

Dragana Miljkovic, Vid Podpecan, Tjasa Stare, Igor Mozetic, Kristina Gruden, Nada Lavrac

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices.

Matic Perovsek, Bojan Cestnik, Tanja Urbancic, Simon Colton, Nada Lavrac

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Semantic Data Mining of Financial News Articles.

Anze Vavpetic, Petra Kralj Novak, Miha Grcar, Igor Mozetic, Nada Lavrac

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

A Wordification Approach to Relational Data Mining.

Matic Perovsek, Anze Vavpetic, Bojan Cestnik, Nada Lavrac

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

Real-time data analysis in ClowdFlows.

Janez Kranjc, Vid Podpecan, Nada Lavrac

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.

Vid Podpecan, Dragana Miljkovic, Marko Petek, Tjasa Stare, Kristina Gruden, Igor Mozetic, Nada Lavrac

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Exploring the Power of Outliers for Cross-Domain Literature Mining.

Borut Sluban, Matjaz Jursic, Bojan Cestnik, Nada Lavrac

Proceedings of the Bisociative Knowledge Discovery, 2012

Bisociative Knowledge Discovery by Literature Outlier Detection.

Ingrid Petric, Bojan Cestnik, Nada Lavrac, Tanja Urbancic

Proceedings of the Bisociative Knowledge Discovery, 2012

Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis.

Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi

Proceedings of the Bisociative Knowledge Discovery, 2012

Applications and Evaluation: Overview.

Igor Mozetic, Nada Lavrac

Proceedings of the Bisociative Knowledge Discovery, 2012

Modelling a Biological System: Network Creation by Triplet Extraction from Biological Literature.

Dragana Miljkovic, Vid Podpecan, Miha Grcar, Kristina Gruden, Tjasa Stare, Marko Petek, Igor Mozetic, Nada Lavrac

Proceedings of the Bisociative Knowledge Discovery, 2012

Bridging Concept Identification for Constructing Information Networks from Text Documents.

Matjaz Jursic, Borut Sluban, Bojan Cestnik, Miha Grcar, Nada Lavrac

Proceedings of the Bisociative Knowledge Discovery, 2012

Bisociative Literature Mining by Ensemble Heuristics.

Matjaz Jursic, Bojan Cestnik, Tanja Urbancic, Nada Lavrac

Proceedings of the Bisociative Knowledge Discovery, 2012

Foundations of Rule Learning

Johannes Fürnkranz, Dragan Gamberger, Nada Lavrac

Cognitive Technologies, Springer, ISBN: 978-3-540-75196-0, 2012

Orange4WS Environment for Service-Oriented Data Mining.

Vid Podpecan, Monika Zemenova, Nada Lavrac

Comput. J., 2012

Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining.

Ingrid Petric, Bojan Cestnik, Nada Lavrac, Tanja Urbancic

Comput. J., 2012

Explaining Subgroups through Ontologies.

Anze Vavpetic, Vid Podpecan, Stijn Meganck, Nada Lavrac

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

ClowdFlows: A Cloud Based Scientific Workflow Platform.

Janez Kranjc, Vid Podpecan, Nada Lavrac

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Irregularity Detection in Categorized Document Corpora.

Borut Sluban, Senja Pollak, Roel Coesemans, Nada Lavrac

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.

Senja Pollak, Anze Vavpetic, Janez Kranjc, Nada Lavrac, Spela Vintar

Proceedings of the 11th Conference on Natural Language Processing, 2012

A Wordification Approach to Relational Data Mining: Early Results.

Matic Perovsek, Anze Vavpetic, Nada Lavrac

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.

Matjaz Jursic, Bojan Cestnik, Tanja Urbancic, Nada Lavrac

Proceedings of the Third International Conference on Computational Creativity, 2012

Advances in Data Mining for Biomedical Research.

Nada Lavrac

Proceedings of CBMS 2012, 2012

Constraint-driven optimization of plant defense model parameters.

Dragana Miljkovic, Matjaz Depolli, Igor Mozetic, Nada Lavrac, Tjasa Stare, Marko Petek, Kristina Gruden

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011

Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning.

Monika Záková, Petr Kremen, Filip Zelezný, Nada Lavrac

IEEE Trans Autom. Sci. Eng., 2011

SegMine workflows for semantic microarray data analysis in Orange4WS.

Vid Podpecan, Nada Lavrac, Igor Mozetic, Petra Kralj Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden

BMC Bioinform., 2011

Using Ontologies in Semantic Data Mining with g-SEGS and Aleph.

Anze Vavpetic, Nada Lavrac

Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Using Ontologies in Semantic Data Mining with SEGS and g-SEGS.

Nada Lavrac, Anze Vavpetic, Larisa N. Soldatova, Igor Trajkovski, Petra Kralj Novak

Proceedings of the Discovery Science - 14th International Conference, 2011

A Methodology for Mining Document-Enriched Heterogeneous Information Networks.

Miha Grcar, Nada Lavrac

Proceedings of the Discovery Science - 14th International Conference, 2011

Evaluating Outliers for Cross-Context Link Discovery.

Borut Sluban, Matjaz Jursic, Bojan Cestnik, Nada Lavrac

Proceedings of the Artificial Intelligence in Medicine, 2011

2010

Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms.

Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger

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.

Nada Lavrac, Miha Grcar, Blaz Fortuna, Paola Velardi

Proceedings of the Computational Social Network Analysis, 2010

Supervised Descriptive Rule Induction.

Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb

Proceedings of the Encyclopedia of Machine Learning, 2010

Data Mining in Medicine.

Nada Lavrac, Blaz Zupan

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

LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules.

Matjaz Jursic, Igor Mozetic, Tomaz Erjavec, Nada Lavrac

J. Univers. Comput. Sci., 2010

Supporting the search for cross-context links by outlier detection methods.

Borut Sluban, Nada Lavrac

BMC Bioinform., 2010

Identification of concepts bridging diverse biomedical domains.

Matjaz Jursic, Igor Mozetic, Miha Grcar, Bojan Cestnik, Nada Lavrac

BMC Bioinform., 2010

Performance Analysis of Class Noise Detection Algorithms.

Borut Sluban, Dragan Gamberger, Nada Lavrac

Proceedings of the STAIRS 2010, 2010

Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology.

Vid Podpecan, Miha Grcar, Nada Lavrac

Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Workflow Construction for Service-Oriented Knowledge Discovery.

Vid Podpecan, Monika Záková, Nada Lavrac

Proceedings of the Leveraging Applications of Formal Methods, Verification, and Validation, 2010

Bisociative Knowledge Discovery for Microarray Data Analysis.

Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi

Proceedings of the International Conference on Computational Creativity, 2010

Advances in Class Noise Detection.

Borut Sluban, Dragan Gamberger, Nada Lavrac

Proceedings of the ECAI 2010, 2010

Efficient Visualization of Document Streams.

Miha Grcar, Vid Podpecan, Matjaz Jursic, Nada Lavrac

Proceedings of the Discovery Science - 13th International Conference, 2010

2009

Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008).

Filip Zelezný, Nada Lavrac

Mach. Learn., 2009

Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining.

Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb

J. Mach. Learn. Res., 2009

CSM-SD: Methodology for contrast set mining through subgroup discovery.

Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic

J. Biomed. Informatics, 2009

2008

Learning Relational Descriptions of Differentially Expressed Gene Groups.

Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar

IEEE Trans. Syst. Man Cybern. Part C, 2008

Closed Sets for Labeled Data.

Gemma C. Garriga, Petra Kralj, Nada Lavrac

J. Mach. Learn. Res., 2008

SEGS: Search for enriched gene sets in microarray data.

Igor Trajkovski, Nada Lavrac, Jakub Tolar

J. Biomed. Informatics, 2008

Ripple Down Rule learning for automated word lemmatisation.

Joël Plisson, Nada Lavrac, Dunja Mladenic, Tomaz Erjavec

AI Commun., 2008

Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.

Dragan Gamberger, Nada Lavrac, Johannes Fürnkranz

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Advancing Topic Ontology Learning through Term Extraction.

Blaz Fortuna, Nada Lavrac, Paola Velardi

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.

Jeroen S. de Bruin, Joost N. Kok, Nada Lavrac, Igor Trajkovski

Proceedings of the Leveraging Applications of Formal Methods, 2008

2007

An Ontology for Virtual Organization Breeding Environments.

Joël Plisson, Peter Ljubic, Igor Mozetic, Nada Lavrac

IEEE Trans. Syst. Man Cybern. Part C, 2007

Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates.

Nada Lavrac, Peter Ljubic, Tanja Urbani, Gregor Papa, Mitja Jermol, Stefan Bollhalter

IEEE Trans. Syst. Man Cybern. Part C, 2007

Data mining and visualization for decision support and modeling of public health-care resources.

Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Marko Debeljak, Andrej Kobler

J. Biomed. Informatics, 2007

Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis.

Dragan Gamberger, Nada Lavrac, Antonija Krstacic, Goran Krstacic

Appl. Intell., 2007

Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data.

Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Efficient Generation of Biologically Relevant Enriched Gene Sets.

Igor Trajkovski, Nada Lavrac

Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Collaboration Opportunity Finder.

Damjan Demsar, Igor Mozetic, Nada Lavrac

Proceedings of the Establishing The Foundation of Collaborative Networks, 2007

Interpreting Gene Expression Data by Searching for Enriched Gene Sets.

Igor Trajkovski, Nada Lavrac

Proceedings of the Artificial Intelligence in Medicine, 2007

Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization.

Aleksander Pur, Marko Bohanec, Nada Lavrac, Bojan Cestnik, Marko Debeljak, Anton Gradisek

Proceedings of the Artificial Intelligence in Medicine, 2007

Contrast Set Mining for Distinguishing Between Similar Diseases.

Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic

Proceedings of the Artificial Intelligence in Medicine, 2007

Supporting Factors in Descriptive Analysis of Brain Ischaemia.

Dragan Gamberger, Nada Lavrac

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

Propositionalization-based relational subgroup discovery with RSD.

Filip Zelezný, Nada Lavrac

Mach. Learn., 2006

APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.

Branko Kavsek, Nada Lavrac

Appl. Artif. Intell., 2006

Relational Descriptive Analysis of Gene Expression Data.

Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar

Proceedings of the STAIRS 2006, 2006

Relational Data Mining Applied to Virtual Engineering of Product Designs.

Monika Záková, Filip Zelezný, Javier A. García-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Enhancing Human Choice by Information Technologies.

Tanja Urbancic, Olga Stepánková, Nada Lavrac

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.

Igor Trajkovski, Filip Zelezný, Jakub Tolar, Nada Lavrac

Proceedings of the Computational Life Sciences II, 2006

2005

Subgroup Discovery Techniques and Applications.

Nada Lavrac

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Decision Support Approach to Trust Modeling in Networked Organizations.

Nada Lavrac, Peter Ljubic, Mitja Jermol, Stefan Bollhalter

Proceedings of the Collaborative Networks and Their Breeding Environments, 2005

Hierarchical Multi-Attribute Decision Support Approach to Virtual Organization Creation.

Toni Jarimo, Peter Ljubic, Iiro Salkari, Marko Bohanec, Nada Lavrac, Martin Znidarsic, Stefan Bollhalter, Jirí Hodík

Proceedings of the Collaborative Networks and Their Breeding Environments, 2005

Data Mining for Decision Support: An Application in Public Health Care.

Aleksander Pur, Marko Bohanec, Bojan Cestnik, Nada Lavrac, Marko Debeljak, Tadeja Kopac

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

A Decision Support Approach to Modeling Trust in Networked Organizations.

Nada Lavrac, Peter Ljubic, Mitja Jermol, Gregor Papa

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

SolEuNet: Selected Data Mining Techniques and Applications.

Nada Lavrac

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.

Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Mitja Jermol, Tanja Urbancic, Marko Debeljak, Branko Kavsek, Tadeja Kopac

Proceedings of the Artificial Intelligence in Medicine, 2005

Data Mining in Medicine.

Nada Lavrac, Blaz Zupan

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

2004

Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.

Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans

Mach. Learn., 2004

Editorial: Data Mining Lessons Learned.

Nada Lavrac, Hiroshi Motoda, Tom Fawcett

Mach. Learn., 2004

Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned.

Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter A. Flach

Mach. Learn., 2004

Subgroup Discovery with CN2-SD.

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

J. Mach. Learn. Res., 2004

Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.

Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar

J. Biomed. Informatics, 2004

ROC Analysis of Example Weighting in Subgroup Discovery.

Branko Kavsek, Nada Lavrac, Ljupco Todorovski

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

Supporting a Public Health Care Virtual Organization by Knowledge Technologies.

Mitja Jermol, Nada Lavrac, Tanja Urbancic, Tadeja Kopac

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.

Dragan Gamberger, Nada Lavrac

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.

Nada Lavrac, Filip Zelezný, Saso Dzeroski

Proceedings of the Local Pattern Detection, 2004

Relevancy in Constraint-Based Subgroup Discovery.

Nada Lavrac, Dragan Gamberger

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.

Mitja Jermol, Nada Lavrac, Tanja Urbancic

J. Intell. Fuzzy Syst., 2003

Active subgroup mining: a case study in coronary heart disease risk group detection.

Dragan Gamberger, Nada Lavrac

Artif. Intell. Medicine, 2003

Comparative Evaluation of Approaches to Propositionalization.

Mark-A. Krogel, Simon Alan Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.

Branko Kavsek, Nada Lavrac, Viktor Jovanoski

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Analysis of Gene Expression Data by the Logic Minimization Approach.

Dragan Gamberger, Nada Lavrac

Proceedings of the Artificial Intelligence in Medicine, 2003

2002

Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery.

Dragan Gamberger, Nada Lavrac, Goran Krstacic

J. Intell. Fuzzy Syst., 2002

Expert-Guided Subgroup Discovery: Methodology and Application.

Dragan Gamberger, Nada Lavrac

J. Artif. Intell. Res., 2002

Generating Actionable Knowledge by Expert-Guided Subgroup Discovery.

Dragan Gamberger, Nada Lavrac

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

RSD: Relational Subgroup Discovery through First-Order Feature Construction.

Nada Lavrac, Filip Zelezný, Peter A. Flach

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

Virtual Enterprise for Data Mining and Decision Support.

Nada Lavrac

Proceedings of the Collaborative Business Ecosystems and Virtual Enterprises, 2002

Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain.

Dragan Gamberger, Nada Lavrac

Proceedings of the Machine Learning, 2002

Adapting classification rule induction to subgroup discovery.

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

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

Learning in Clausal Logic: A Perspective on Inductive Logic Programming.

Peter A. Flach, Nada Lavrac

Proceedings of the Computational Logic: Logic Programming and Beyond, 2002

2001

An extended transformation approach to inductive logic programming.

Nada Lavrac, Peter A. Flach

ACM Trans. Comput. Log., 2001

AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium.

Elpida T. Keravnou, Nada Lavrac

Artif. Intell. Medicine, 2001

Classification Rule Learning with APRIORI-C.

Viktor Jovanoski, Nada Lavrac

Proceedings of the Progress in Artificial Intelligence, 2001

Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction.

Branko Kavsek, Nada Lavrac, Anuska Ferligoj

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains.

Dragan Gamberger, Nada Lavrac, Saso Dzeroski

Appl. Artif. Intell., 2000

Predictive Performance of Weghted Relative Accuracy.

Ljupco Todorovski, Peter A. Flach, Nada Lavrac

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

Confirmation Rule Sets.

Dragan Gamberger, Nada Lavrac

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

Inconsistency Tests for Patient Records in a Coronary Heart Disease Database.

Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc

Proceedings of the Medical Data Analysis, First International Symposium, 2000

1999

Inductive Logic Programming for Relational Knowledge Discovery.

Nada Lavrac, Saso Dzeroski, Masayuki Numao

New Gener. Comput., 1999

A Study of Relevance for Learning in Deductive Databases.

Nada Lavrac, Dragan Gamberger, Viktor Jovanoski

J. Log. Program., 1999

Editorial.

Saso Dzeroski, Nada Lavrac

Data Min. Knowl. Discov., 1999

Selected techniques for data mining in medicine.

Nada Lavrac

Artif. Intell. Medicine, 1999

Rule Evaluation Measures: A Unifying View.

Nada Lavrac, Peter A. Flach, Blaz Zupan

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

Experiments with Noise Filtering in a Medical Domain.

Dragan Gamberger, Nada Lavrac, Ciril Groselj

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Challenges for Inductive Logic Programming.

Nada Lavrac

Proceedings of the Progress in Artificial Intelligence, 1999

Machine Learning for Data Mining in Medicine.

Nada Lavrac

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.

Dragan Gamberger, Nada Lavrac, Ciril Groselj

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.

Nada Lavrac, Dragan Gamberger, Peter D. Turney

IEEE Intell. Syst., 1998

Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction.

Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou

AI Commun., 1998

Inductive Logic Programming for Relational Knowledge Discovery.

Nada Lavrac

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.

Darko Zupanic, Milan Hodoscek, Nada Lavrac, Igor Mozetic

J. Chem. Inf. Comput. Sci., 1997

Conditions for Occam's Razor Applicability and Noise Elimination.

Dragan Gamberger, Nada Lavrac

Proceedings of the Machine Learning: ECML-97, 1997

Diagnosis of sport injuries with machine learning: explanation of induced decisions.

Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga

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.

Iztok A. Pilih, Dunja Mladenic, Nada Lavrac, Tine S. Prevec

Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97), 1997

Machine Learning Applied to Diagnosis of Sport Injuries.

Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga

Proceedings of the Artificial Intelligence Medicine, 1997

1996

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

Nada Lavrac, Saso Dzeroski

Mach. Learn., 1996

Induktive Logikprogrammierung - Grundlagen und Techniken.

Nada Lavrac, Stefan Wrobel

Künstliche Intell., 1996

Multiple Predicate Learning in Two Inductive Logic Programming Settings.

Luc De Raedt, Nada Lavrac

Log. J. IGPL, 1996

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

Nada Lavrac, Irene Weber, Darko Zupanic, Dimitar Kazakov, Olga Stepánková, Saso Dzeroski

AI Commun., 1996

Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame.

Dragan Gamberger, Nada Lavrac

Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm.

Nada Lavrac, Dragan Gamberger, Peter D. Turney

Proceedings of the Algorithmic Learning Theory, 7th International Workshop, 1996

Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois.

Dragan Gamberger, Nada Lavrac, Saso Dzeroski

Proceedings of the Algorithmic Learning Theory, 7th International Workshop, 1996

1995

Inductive Logic Programming: A Survey of European Research.

Nada Lavrac, Luc De Raedt

AI Commun., 1995

1994

Weakening the language bias in LINUS.

Nada Lavrac, Saso Dzeroski

J. Exp. Theor. Artif. Intell., 1994

Inductive Logic Programming.

Nada Lavrac

Proceedings of the Tenth Logic Programming Workshop, 1994

Inductive logic programming - techniques and applications.

Nada Lavrac, Saso Dzeroski

Ellis Horwood series in artificial intelligence, Ellis Horwood, ISBN: 978-0-13-457870-5, 1994

1993

Inductive Learning in Deductive Databases.

Saso Dzeroski, Nada Lavrac

IEEE Trans. Knowl. Data Eng., 1993

The utility of background knowledge in learning medical diagnostic rules.

Nada Lavrac, Saso Dzeroski, Vladimir Pirnat, Viljem Krizman

Appl. Artif. Intell., 1993

The Many Faces of Inductive Logic Programming.

Luc De Raedt, Nada Lavrac

Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

Multiple Predicate Learning.

Luc De Raedt, Nada Lavrac, Saso Dzeroski

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

1992

Stochastic Search in Inductive Logic Programming.

Matevz Kovacic, Nada Lavrac, Marko Grobelnik, Darko Zupanic, Dunja Mladenic

Proceedings of the 10th European Conference on Artificial Intelligence, 1992

Background Knowledge and Declarative Bias in Inductive Concept Learning.

Nada Lavrac, Saso Dzeroski

Proceedings of the Analogical and Inductive Inference, 1992

1991

Learning Rules for Early Diagnosis of Rheumatic Diseases.

Nada Lavrac, Saso Dzeroski, Vladimir Pirnat, Viljem Krizman

Proceedings of the Third Scandinavian Conference on Artificial Intelligence, 1991

Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL.

Saso Dzeroski, Nada Lavrac

Proceedings of the Eighth International Workshop (ML91), 1991

Learning Nonrecursive Definitions of Relations with LINUS.

Nada Lavrac, Saso Dzeroski, Marko Grobelnik

Proceedings of the Machine Learning, 1991

1989

Methods for knowledge acquisition and refinement in second generation expert systems.

Nada Lavrac, Igor Mozetic

SIGART Newsl., 1989

KARDIO - a study in deep and qualitative knowledge for expert systems.

Ivan Bratko, Igor Mozetic, Nada Lavrac

MIT Press, ISBN: 978-0-262-02273-6, 1989

1987

Review of Five Empirical Learning Systems Within a Proposed Schemata.

Matjaz Gams, Nada Lavrac

Proceedings of the Progress in Machine Learning, 1987

1986

The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains.

Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1983

An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling.

Igor Mozetic, Ivan Bratko, Nada Lavrac

Proceedings of the Logic Programming Workshop '83, Praia da Falésia, Algarve, Portugal, 26 June, 1983