Nada Lavrac - RankMe

292 papers A* 5A 4B 51C 18Misc 2Journal 127Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incremental Graph Construction Enables Robust Spectral Clustering of Texts. CoRR Marko Pranjic, Boshko Koloski, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja
2025	J	`jnl`	Extracting domain-specific terms using contextual word embeddings. CoRR Andraz Repar, Nada Lavrac, Senja Pollak
2025	J	`jnl`	Extreme Multi-Label Text Classification for Less-Represented Languages and Low-Resource Environments: Advances and Lessons Learned. Mach. Learn. Knowl. Extr. Nikola Ivacic, Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac, Matthew Purver
2025	—	`conf`	From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies. Challenges and Algorithms for Knowledge Discovery from Data Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac
2025	J	`jnl`	From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies. CoRR Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac
2025	J	`jnl`	HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks. CoRR Boshko Koloski, Nada Lavrac, Blaz Skrlj
2025	J	`jnl`	HorNets: learning from discrete and continuous signals with routing neural networks. Mach. Learn. Boshko Koloski, Nada Lavrac, Blaz Skrlj
2025	B	`conf`	Make Literature-Based Discovery Great Again Through Reproducible Pipelines. IDA Bojan Cestnik, Andrej Kastrin, Boshko Koloski, Nada Lavrac
2025	J	`jnl`	Make Literature-Based Discovery Great Again through Reproducible Pipelines. CoRR Bojan Cestnik, Andrej Kastrin, Boshko Koloski, Nada Lavrac
2025	—	`conf`	Recent Advances and Future Directions in Literature-Based Discovery. Challenges and Algorithms for Knowledge Discovery from Data Andrej Kastrin, Bojan Cestnik, Nada Lavrac
2025	J	`jnl`	Recent Advances and Future Directions in Literature-Based Discovery. CoRR Andrej Kastrin, Bojan Cestnik, Nada Lavrac
2025	J	`jnl`	Textflows: an open science NLP evaluation approach. Lang. Resour. Evaluation Matej Martinc, Matic Perovsek, Nada Lavrac, Senja Pollak
2024	—	`conf`	AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. IDA (1) Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin
2024	—	`ed.`	Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I ECAI Workshops (1) Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024	—	`ed.`	Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II ECAI Workshops (2) Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024	J	`jnl`	Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis. CoRR Luka Andrensek, Boshko Koloski, Andraz Pelicon, Nada Lavrac, Senja Pollak, Matthew Purver
2023	J	`jnl`	AHAM: Adapt, Help, Ask, Model - Harvesting LLMs for literature mining. CoRR Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin
2023	J	`jnl`	DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks. CoRR Jan Kralj, Blaz Skrlj, Ziva Ramsak, Nada Lavrac, Kristina Gruden
2023	—	`conf`	Inducing Document Representations from Graphs: A Blueprint. Tiny Papers @ ICLR Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak
2023	J	`jnl`	Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data. CoRR Boshko Koloski, Blaz Skrlj, Senja Pollak, Nada Lavrac
2023	J	`jnl`	Multimodal AutoML via Representation Evolution. Mach. Learn. Knowl. Extr. Blaz Skrlj, Matej Bevec, Nada Lavrac
2022	J	`jnl`	Deep node ranking for neuro-symbolic structural node embedding and classification. Int. J. Intell. Syst. Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac
2022	J	`jnl`	NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering. IEEE Access Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja
2022	J	`jnl`	Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation. Mach. Learn. Knowl. Extr. Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj
2022	J	`jnl`	ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. Mach. Learn. Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2021	—	`conf`	BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. EACL (Hackashop) Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja
2021	J	`jnl`	CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets. Bioinform. Blaz Skrlj, Nika Erzen, Nada Lavrac, Tanja Kunej, Janez Konc
2021	—	`conf`	EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. EACL (Hackashop) 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
2021	J	`jnl`	Link Analysis meets Ontologies: Are Embeddings the Answer? CoRR Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj
2021	B	`conf`	Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning. DS Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac
2021	J	`jnl`	Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning. CoRR Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac
2021	J	`jnl`	PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks. Frontiers Res. Metrics Anal. Blaz Skrlj, Enja Kokalj, Nada Lavrac
2021	J	`jnl`	ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. CoRR Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2021	C	`conf`	Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods. ICCC Senja Pollak, Vid Podpecan, Janez Kranjc, Borut Lesjak, Nada Lavrac
2021	J	`jnl`	Semantic Reasoning from Model-Agnostic Explanations. CoRR Timen Stepisnik Perdih, Nada Lavrac, Blaz Skrlj
2021	B	`conf`	Stratification of Parkinson's Disease Patients via Multi-view Clustering. AIME Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja
2021	J	`jnl`	Transfer Learning for Node Regression Applied to Spreading Prediction. Complex Syst. Sebastian Meznar, Nada Lavrac, Blaz Skrlj
2021	J	`jnl`	Transfer Learning for Node Regression Applied to Spreading Prediction. CoRR Sebastian Meznar, Nada Lavrac, Blaz Skrlj
2021	J	`jnl`	autoBOT: evolving neuro-symbolic representations for explainable low resource text classification. Mach. Learn. Blaz Skrlj, Matej Martinc, Nada Lavrac, Senja Pollak
2021	J	`jnl`	tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. Comput. Speech Lang. Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak
2020	J	`jnl`	Advancing manufacturing systems with big-data analytics: A conceptual framework. Int. J. Comput. Integr. Manuf. Dominik Kozjek, Rok Vrabic, Borut Rihtarsic, Nada Lavrac, Peter Butala
2020	C	`conf`	Bisociative Literature-Based Discovery: Lessons Learned and New Prospects. ICCC Nada Lavrac, Matej Martinc, Senja Pollak, Bojan Cestnik
2020	J	`jnl`	Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach. New Gener. Comput. Nada Lavrac, Matej Martinc, Senja Pollak, Marusa Pompe-Novak, Bojan Cestnik
2020	B	`conf`	COVID-19 Therapy Target Discovery with Context-Aware Literature Mining. DS Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak
2020	J	`jnl`	COVID-19 therapy target discovery with context-aware literature mining. CoRR Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak
2020	J	`jnl`	Embedding-based Silhouette community detection. Mach. Learn. Blaz Skrlj, Jan Kralj, Nada Lavrac
2020	A	`conf`	Feature Importance Estimation with Self-Attention Networks. ECAI Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2020	J	`jnl`	Feature Importance Estimation with Self-Attention Networks. CoRR Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2020	B	`conf`	Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. AIME Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
2020	—	`conf`	Prediction of the Effects of Epidemic Spreading with Graph Neural Networks. COMPLEX NETWORKS (1) Sebastian Meznar, Nada Lavrac, Blaz Skrlj
2020	J	`jnl`	Propositionalization and Embeddings: Two Sides of the Same Coin. CoRR Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja
2020	J	`jnl`	Propositionalization and embeddings: two sides of the same coin. Mach. Learn. Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja
2020	J	`jnl`	SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. IEEE Access Sebastian Meznar, Nada Lavrac, Blaz Skrlj
2020	J	`jnl`	SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. CoRR Sebastian Meznar, Nada Lavrac, Blaz Skrlj
2019	—	`ch.`	Bisociative Knowledge Discovery for Cross-domain Literature Mining. Computational Creativity Nada Lavrac, Matjaz Jursic, Borut Sluban, Matic Perovsek, Senja Pollak, Tanja Urbancic, Bojan Cestnik
2019	J	`jnl`	CBSSD: community-based semantic subgroup discovery. J. Intell. Inf. Syst. Blaz Skrlj, Jan Kralj, Nada Lavrac
2019	J	`jnl`	Computational creativity infrastructure for online software composition: A conceptual blending use case. IBM J. Res. Dev. 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
2019	J	`jnl`	Conceptual Representations for Computational Concept Creation. ACM Comput. Surv. 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
2019	B	`conf`	Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. AIME Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
2019	J	`jnl`	Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification. CoRR Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac
2019	J	`jnl`	Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data. Mach. Learn. Knowl. Extr. Dragan Gamberger, Tjasa Stare, Dragana Miljkovic, Kristina Gruden, Nada Lavrac
2019	J	`jnl`	Embedding-based Silhouette Community Detection. CoRR Blaz Skrlj, Jan Kralj, Nada Lavrac
2019	J	`jnl`	Interactive exploration of heterogeneous biological networks with Biomine Explorer. Bioinform. Vid Podpecan, Ziva Ramsak, Kristina Gruden, Hannu Toivonen, Nada Lavrac
2019	J	`jnl`	NetSDM: Semantic Data Mining with Network Analysis. J. Mach. Learn. Res. Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
2019	J	`jnl`	Py3plex toolkit for visualization and analysis of multilayer networks. Appl. Netw. Sci. Blaz Skrlj, Jan Kralj, Nada Lavrac
2019	B	`conf`	Symbolic Graph Embedding Using Frequent Pattern Mining. DS Blaz Skrlj, Nada Lavrac, Jan Kralj
2019	J	`jnl`	Symbolic Graph Embedding using Frequent Pattern Mining. CoRR Blaz Skrlj, Jan Kralj, Nada Lavrac
2019	J	`jnl`	Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture. Mach. Learn. Knowl. Extr. Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak
2019	J	`jnl`	tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. CoRR Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak
2018	J	`jnl`	Analysis of medications change in Parkinson's disease progression data. J. Intell. Inf. Syst. Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
2018	J	`jnl`	Computational Creativity in Slovenia. Informatica (Slovenia) Senja Pollak, Geraint A. Wiggins, Martin Znidarsic, Nada Lavrac
2018	C	`conf`	Conceptualising Computational Creativity: Towards automated historiography of a research field. ICCC Geraint A. Wiggins, Nada Lavrac, Vid Podpecan, Senja Pollak
2018	J	`jnl`	Correction to: Analysis of medications change in Parkinson's disease progression data. J. Intell. Inf. Syst. Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
2018	J	`jnl`	Discovering dependencies between domains of redox potential and plant defence through triplet extraction and copulas. Int. J. Intell. Eng. Informatics Dragana Miljkovic, Nada Lavrac, Marko Bohanec, Biljana Mileva-Boshkoska
2018	J	`jnl`	HINMINE: heterogeneous information network mining with information retrieval heuristics. J. Intell. Inf. Syst. Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
2018	—	`conf`	Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization. COMPLEX NETWORKS (1) Blaz Skrlj, Jan Kralj, Nada Lavrac
2018	J	`jnl`	Redescription mining augmented with random forest of multi-target predictive clustering trees. J. Intell. Inf. Syst. Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
2018	J	`jnl`	Symptoms and medications change patterns for Parkinson's disease patients stratification. Artif. Intell. Medicine Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja
2018	B	`conf`	Targeted End-to-End Knowledge Graph Decomposition. ILP Blaz Skrlj, Jan Kralj, Nada Lavrac
2018	J	`jnl`	Towards Creative Software Blending: Computational Infrastructure and Use Cases. Informatica (Slovenia) Matej Martinc, Martin Znidarsic, Nada Lavrac, Senja Pollak
2018	B	`conf`	Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns. DS Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
2017	J	`jnl`	A framework for redescription set construction. Expert Syst. Appl. Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
2017	J	`jnl`	ClowdFlows: Online workflows for distributed big data mining. Future Gener. Comput. Syst. Janez Kranjc, Roman Orac, Vid Podpecan, Nada Lavrac, Marko Robnik-Sikonja
2017	B	`conf`	Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification. AIME Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja
2017	—	`conf`	Community-Based Semantic Subgroup Discovery. NFMCP@PKDD/ECML Blaz Skrlj, Jan Kralj, Anze Vavpetic, Nada Lavrac
2017	J	`jnl`	Outlier based literature exploration for cross-domain linking of Alzheimer's disease and gut microbiota. Expert Syst. Appl. Donatella Gubiani, Elsa Fabbretti, Bojan Cestnik, Nada Lavrac, Tanja Urbancic
2017	J	`jnl`	Refinement and selection heuristics in subgroup discovery and classification rule learning. Expert Syst. Appl. Anita Valmarska, Nada Lavrac, Johannes Fürnkranz, Marko Robnik-Sikonja
2017	—	`ch.`	Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning and Data Mining Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb
2017	J	`jnl`	Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients. CoRR Matej Mihelcic, Goran Simic, Mirjana Babic Leko, Nada Lavrac, Saso Dzeroski, Tomislav Smuc
2016	J	`jnl`	A framework for redescription set construction. CoRR Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
2016	J	`jnl`	Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Brain Informatics Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Netta Shachar, Nada Lavrac
2016	—	`conf`	Co-Bidding Graphs for Constrained Paper Clustering. SLATE Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja
2016	C	`conf`	Computational Creativity Conceptualisation Grounded on ICCC Papers. ICCC Senja Pollak, Biljana Mileva-Boshkoska, Dragana Miljkovic, Geraint A. Wiggins, Nada Lavrac
2016	C	`conf`	Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case. ICCC 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
2016	C	`conf`	Detection of dependencies between literature domains through relation extraction and copulas. CoDIT Dragana Miljkovic, Nada Lavrac, Marko Bohanec, Biljana Mileva-Boshkoska
2016	—	`conf`	Dynamic Parameter Adaptation of SVM Based Active Learning Methodology. AL@iKNOW Jasmina Smailovic, Miha Grcar, Nada Lavrac, Martin Znidarsic
2016	—	`ch.`	Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform. Machine Learning for Health Informatics Matic Perovsek, Matjaz Jursic, Bojan Cestnik, Nada Lavrac
2016	J	`jnl`	Explaining mixture models through semantic pattern mining and banded matrix visualization. Mach. Learn. Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén
2016	—	`ch.`	Machine Learning and Data Mining Methods for Managing Parkinson's Disease. Machine Learning for Health Informatics Dragana Miljkovic, Darko Aleksovski, Vid Podpecan, Nada Lavrac, Bernd Malle, Andreas Holzinger
2016	—	`conf`	Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis. NFMCP@PKDD/ECML Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
2016	—	`conf`	Network Ranking Assisted Semantic Data Mining. IWBBIO Jan Kralj, Anze Vavpetic, Michel Dumontier, Nada Lavrac
2016	J	`jnl`	TextFlows: A visual programming platform for text mining and natural language processing. Sci. Comput. Program. Matic Perovsek, Janez Kranjc, Tomaz Erjavec, Bojan Cestnik, Nada Lavrac
2015	J	`jnl`	Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform. Inf. Process. Manag. Janez Kranjc, Jasmina Smailovic, Vid Podpecan, Miha Grcar, Martin Znidarsic, Nada Lavrac
2015	—	`conf`	Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics. NFMCP Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
2015	—	`conf`	Identification of Gender Specific Biomarkers for Alzheimer's Disease. BIH Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
2015	—	`conf`	Mining Text Enriched Heterogeneous Citation Networks. PAKDD (1) Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac
2015	—	`conf`	Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. IWBBIO (1) Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
2015	—	`conf`	Redescription Mining with Multi-target Predictive Clustering Trees. NFMCP Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
2015	J	`jnl`	Relating ensemble diversity and performance: A study in class noise detection. Neurocomputing Borut Sluban, Nada Lavrac
2015	B	`conf`	Relational and Semantic Data Mining - - Invited Talk -. LPNMR Nada Lavrac, Anze Vavpetic
2015	—	`conf`	RoboCHAIR: Creative Assistant for Question Generation and Ranking. SSCI Senja Pollak, Borut Lesjak, Janez Kranjc, Vid Podpecan, Martin nidaric, Nada Lavrac
2015	C	`conf`	The Good, the Bad, and the AHA! Blends. ICCC Pedro Martins, Tanja Urbancic, Senja Pollak, Nada Lavrac, Amílcar Cardoso
2015	J	`jnl`	Wordification: Propositionalization by unfolding relational data into bags of words. Expert Syst. Appl. Matic Perovsek, Anze Vavpetic, Janez Kranjc, Bojan Cestnik, Nada Lavrac
2014	C	`conf`	Baseline Methods for Automated Fictional Ideation. ICCC Maria Teresa Llano, Rose Hepworth, Simon Colton, Jeremy Gow, John William Charnley, Nada Lavrac, Martin Znidarsic, Matic Perovsek, Mark Granroth-Wilding, Stephen Clark
2014	J	`jnl`	Ensemble-based noise detection: noise ranking and visual performance evaluation. Data Min. Knowl. Discov. Borut Sluban, Dragan Gamberger, Nada Lavrac
2014	B	`conf`	Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. Discovery Science Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén
2014	J	`jnl`	GMOseek: a user friendly tool for optimized GMO testing. BMC Bioinform. Dany Morisset, Petra Kralj Novak, Darko Zupanic, Kristina Gruden, Nada Lavrac, Jana Zel
2014	B	`conf`	Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. Discovery Science Dragan Gamberger, Matej Mihelcic, Nada Lavrac
2014	J	`jnl`	Plant defence model revisions through iterative minimisation of constraint violations. Int. J. Comput. Biol. Drug Des. Dragana Miljkovic, Matjaz Depolli, Tjasa Stare, Igor Mozetic, Marko Petek, Kristina Gruden, Nada Lavrac
2014	C	`ed.`	Proceedings of the Fifth International Conference on Computational Creativity, ICCC 2014, Ljubljana, Slovenia, June 10-13, 2014. ICCC Simon Colton, Dan Ventura, Nada Lavrac, Michael Cook
2014	—	`conf`	Propositionalization Online. ECML/PKDD (3) Nada Lavrac, Matic Perovsek, Anze Vavpetic
2014	J	`jnl`	Semantic subgroup explanations. J. Intell. Inf. Syst. Anze Vavpetic, Vid Podpecan, Nada Lavrac
2014	J	`jnl`	Stream-based active learning for sentiment analysis in the financial domain. Inf. Sci. Jasmina Smailovic, Miha Grcar, Nada Lavrac, Martin Znidarsic
2013	J	`jnl`	A Methodology for Mining Document-Enriched Heterogeneous Information Networks. Comput. J. Miha Grcar, Nejc Trdin, Nada Lavrac
2013	B	`conf`	A Wordification Approach to Relational Data Mining. Discovery Science Matic Perovsek, Anze Vavpetic, Bojan Cestnik, Nada Lavrac
2013	J	`jnl`	Contrasting Subgroup Discovery. Comput. J. Laura Langohr, Vid Podpecan, Marko Petek, Igor Mozetic, Kristina Gruden, Nada Lavrac, Hannu Toivonen
2013	—	`conf`	HCI Empowered Literature Mining for Cross-Domain Knowledge Discovery. CHI-KDD Matjaz Jursic, Bojan Cestnik, Tanja Urbancic, Nada Lavrac
2013	—	`conf`	Incremental revision of biological networks from texts. IWBBIO Dragana Miljkovic, Vid Podpecan, Tjasa Stare, Igor Mozetic, Kristina Gruden, Nada Lavrac
2013	—	`conf`	Integrating semantic transcriptomic data analysis and knowledge extraction from biological literature. BIBM Vid Podpecan, Dragana Miljkovic, Marko Petek, Tjasa Stare, Kristina Gruden, Igor Mozetic, Nada Lavrac
2013	—	`conf`	Predictive Sentiment Analysis of Tweets: A Stock Market Application. CHI-KDD Jasmina Smailovic, Miha Grcar, Nada Lavrac, Martin Znidarsic
2013	—	`conf`	Real-time data analysis in ClowdFlows. IEEE BigData Janez Kranjc, Vid Podpecan, Nada Lavrac
2013	J	`jnl`	Relational and Semantic Data Mining for Biomedical Research. Informatica (Slovenia) Nada Lavrac, Petra Kralj Novak
2013	B	`conf`	Semantic Data Mining of Financial News Articles. Discovery Science Anze Vavpetic, Petra Kralj Novak, Miha Grcar, Igor Mozetic, Nada Lavrac
2013	J	`jnl`	Semantic Subgroup Discovery Systems and Workflows in the SDM-Toolkit. Comput. J. Anze Vavpetic, Nada Lavrac
2013	B	`conf`	Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices. IDA Matic Perovsek, Bojan Cestnik, Tanja Urbancic, Simon Colton, Nada Lavrac
2013	—	`conf`	ViperCharts: Visual Performance Evaluation Platform. ECML/PKDD (3) Borut Sluban, Nada Lavrac
2012	—	`conf`	A Wordification Approach to Relational Data Mining: Early Results. ILP (Late Breaking Papers) Matic Perovsek, Anze Vavpetic, Nada Lavrac
2012	B	`conf`	Advances in Data Mining for Biomedical Research. CBMS Nada Lavrac
2012	—	`ch.`	Applications and Evaluation: Overview. Bisociative Knowledge Discovery Igor Mozetic, Nada Lavrac
2012	—	`ch.`	Bisociative Knowledge Discovery by Literature Outlier Detection. Bisociative Knowledge Discovery Ingrid Petric, Bojan Cestnik, Nada Lavrac, Tanja Urbancic
2012	—	`ch.`	Bisociative Literature Mining by Ensemble Heuristics. Bisociative Knowledge Discovery Matjaz Jursic, Bojan Cestnik, Tanja Urbancic, Nada Lavrac
2012	—	`ch.`	Bridging Concept Identification for Constructing Information Networks from Text Documents. Bisociative Knowledge Discovery Matjaz Jursic, Borut Sluban, Bojan Cestnik, Miha Grcar, Nada Lavrac
2012	—	`conf`	ClowdFlows: A Cloud Based Scientific Workflow Platform. ECML/PKDD (2) Janez Kranjc, Vid Podpecan, Nada Lavrac
2012	—	`conf`	Constraint-driven optimization of plant defense model parameters. BIBM Workshops Dragana Miljkovic, Matjaz Depolli, Igor Mozetic, Nada Lavrac, Tjasa Stare, Marko Petek, Kristina Gruden
2012	C	`conf`	Cross-domain literature mining: Finding bridging concepts with CrossBee. ICCC Matjaz Jursic, Bojan Cestnik, Tanja Urbancic, Nada Lavrac
2012	B	`conf`	Explaining Subgroups through Ontologies. PRICAI Anze Vavpetic, Vid Podpecan, Stijn Meganck, Nada Lavrac
2012	—	`ch.`	Exploring the Power of Outliers for Cross-Domain Literature Mining. Bisociative Knowledge Discovery Borut Sluban, Matjaz Jursic, Bojan Cestnik, Nada Lavrac
2012	—	`book`	Foundations of Rule Learning Johannes Fürnkranz, Dragan Gamberger, Nada Lavrac
2012	B	`conf`	Irregularity Detection in Categorized Document Corpora. LREC Borut Sluban, Senja Pollak, Roel Coesemans, Nada Lavrac
2012	—	`ch.`	Modelling a Biological System: Network Creation by Triplet Extraction from Biological Literature. Bisociative Knowledge Discovery Dragana Miljkovic, Vid Podpecan, Miha Grcar, Kristina Gruden, Tjasa Stare, Marko Petek, Igor Mozetic, Nada Lavrac
2012	—	`conf`	NLP workflow for on-line definition extraction from English and Slovene text corpora. KONVENS Senja Pollak, Anze Vavpetic, Janez Kranjc, Nada Lavrac, Spela Vintar
2012	J	`jnl`	Orange4WS Environment for Service-Oriented Data Mining. Comput. J. Vid Podpecan, Monika Zemenova, Nada Lavrac
2012	J	`jnl`	Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining. Comput. J. Ingrid Petric, Bojan Cestnik, Nada Lavrac, Tanja Urbancic
2012	—	`ch.`	Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis. Bisociative Knowledge Discovery Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi
2011	B	`conf`	A Methodology for Mining Document-Enriched Heterogeneous Information Networks. Discovery Science Miha Grcar, Nada Lavrac
2011	B	`ed.`	Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011. Proceedings AIME Mor Peleg, Nada Lavrac, Carlo Combi
2011	J	`jnl`	Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning. IEEE Trans Autom. Sci. Eng. Monika Záková, Petr Kremen, Filip Zelezný, Nada Lavrac
2011	B	`conf`	Evaluating Outliers for Cross-Context Link Discovery. AIME Borut Sluban, Matjaz Jursic, Bojan Cestnik, Nada Lavrac
2011	J	`jnl`	Expert-Guided Subgroup Discovery: Methodology and Application CoRR Dragan Gamberger, Nada Lavrac
2011	J	`jnl`	SegMine workflows for semantic microarray data analysis in Orange4WS. BMC Bioinform. Vid Podpecan, Nada Lavrac, Igor Mozetic, Petra Kralj Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden
2011	B	`conf`	Using Ontologies in Semantic Data Mining with SEGS and g-SEGS. Discovery Science Nada Lavrac, Anze Vavpetic, Larisa N. Soldatova, Igor Trajkovski, Petra Kralj Novak
2011	—	`conf`	Using Ontologies in Semantic Data Mining with g-SEGS and Aleph. ILP (Late Breaking Papers) Anze Vavpetic, Nada Lavrac
2010	A	`conf`	Advances in Class Noise Detection. ECAI Borut Sluban, Dragan Gamberger, Nada Lavrac
2010	C	`conf`	Bisociative Knowledge Discovery for Microarray Data Analysis. ICCC Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi
2010	—	`ch.`	Data Mining in Medicine. Data Mining and Knowledge Discovery Handbook Nada Lavrac, Blaz Zupan
2010	B	`conf`	Efficient Visualization of Document Streams. Discovery Science Miha Grcar, Vid Podpecan, Matjaz Jursic, Nada Lavrac
2010	—	`ch.`	Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. Advances in Machine Learning I Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger
2010	—	`ch.`	Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming. Computational Social Network Analysis Nada Lavrac, Miha Grcar, Blaz Fortuna, Paola Velardi
2010	J	`jnl`	Identification of concepts bridging diverse biomedical domains. BMC Bioinform. Matjaz Jursic, Igor Mozetic, Miha Grcar, Bojan Cestnik, Nada Lavrac
2010	J	`jnl`	LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules. J. Univers. Comput. Sci. Matjaz Jursic, Igor Mozetic, Tomaz Erjavec, Nada Lavrac
2010	—	`conf`	Performance Analysis of Class Noise Detection Algorithms. STAIRS Borut Sluban, Dragan Gamberger, Nada Lavrac
2010	B	`conf`	Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology. PRICAI Vid Podpecan, Miha Grcar, Nada Lavrac
2010	—	`ch.`	Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb
2010	J	`jnl`	Supporting the search for cross-context links by outlier detection methods. BMC Bioinform. Borut Sluban, Nada Lavrac
2010	—	`conf`	Workflow Construction for Service-Oriented Knowledge Discovery. ISoLA (1) Vid Podpecan, Monika Záková, Nada Lavrac
2009	J	`jnl`	CSM-SD: Methodology for contrast set mining through subgroup discovery. J. Biomed. Informatics Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
2009	J	`jnl`	Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008). Mach. Learn. Filip Zelezný, Nada Lavrac
2009	J	`jnl`	Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining. J. Mach. Learn. Res. Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb
2008	B	`conf`	Advancing Topic Ontology Learning through Term Extraction. PRICAI Blaz Fortuna, Nada Lavrac, Paola Velardi
2008	J	`jnl`	Closed Sets for Labeled Data. J. Mach. Learn. Res. Gemma C. Garriga, Petra Kralj, Nada Lavrac
2008	B	`conf`	Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. PRICAI Dragan Gamberger, Nada Lavrac, Johannes Fürnkranz
2008	B	`ed.`	Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings ILP Filip Zelezný, Nada Lavrac
2008	J	`jnl`	Learning Relational Descriptions of Differentially Expressed Gene Groups. IEEE Trans. Syst. Man Cybern. Part C Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar
2008	C	`conf`	On the Design of Knowledge Discovery Services Design Patterns and Their Application in a Use Case Implementation. ISoLA Jeroen S. de Bruin, Joost N. Kok, Nada Lavrac, Igor Trajkovski
2008	J	`jnl`	Ripple Down Rule learning for automated word lemmatisation. AI Commun. Joël Plisson, Nada Lavrac, Dunja Mladenic, Tomaz Erjavec
2008	J	`jnl`	SEGS: Search for enriched gene sets in microarray data. J. Biomed. Informatics Igor Trajkovski, Nada Lavrac, Jakub Tolar
2007	B	`ed.`	Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings IDA Michael R. Berthold, John Shawe-Taylor, Nada Lavrac
2007	J	`jnl`	An Ontology for Virtual Organization Breeding Environments. IEEE Trans. Syst. Man Cybern. Part C Joël Plisson, Peter Ljubic, Igor Mozetic, Nada Lavrac
2007	J	`jnl`	Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis. Appl. Intell. Dragan Gamberger, Nada Lavrac, Antonija Krstacic, Goran Krstacic
2007	—	`conf`	Collaboration Opportunity Finder. Virtual Enterprises and Collaborative Networks Damjan Demsar, Igor Mozetic, Nada Lavrac
2007	B	`conf`	Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. PAKDD Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
2007	B	`conf`	Contrast Set Mining for Distinguishing Between Similar Diseases. AIME Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
2007	J	`jnl`	Data mining and visualization for decision support and modeling of public health-care resources. J. Biomed. Informatics Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Marko Debeljak, Andrej Kobler
2007	—	`conf`	Efficient Generation of Biologically Relevant Enriched Gene Sets. ISBRA Igor Trajkovski, Nada Lavrac
2007	B	`conf`	Interpreting Gene Expression Data by Searching for Enriched Gene Sets. AIME Igor Trajkovski, Nada Lavrac
2007	B	`conf`	Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization. AIME Aleksander Pur, Marko Bohanec, Nada Lavrac, Bojan Cestnik, Marko Debeljak, Anton Gradisek
2007	B	`conf`	Supporting Factors in Descriptive Analysis of Brain Ischaemia. AIME Dragan Gamberger, Nada Lavrac
2007	J	`jnl`	Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates. IEEE Trans. Syst. Man Cybern. Part C Nada Lavrac, Peter Ljubic, Tanja Urbani, Gregor Papa, Mitja Jermol, Stefan Bollhalter
2006	J	`jnl`	APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery. Appl. Artif. Intell. Branko Kavsek, Nada Lavrac
2006	—	`conf`	Closed Sets for Labeled Data. PKDD Gemma C. Garriga, Petra Kralj, Nada Lavrac
2006	B	`ed.`	Discovery Science, 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings Discovery Science Ljupco Todorovski, Nada Lavrac, Klaus P. Jantke
2006	—	`conf`	Enhancing Human Choice by Information Technologies. HCC Tanja Urbancic, Olga Stepánková, Nada Lavrac
2006	J	`jnl`	Propositionalization-based relational subgroup discovery with RSD. Mach. Learn. Filip Zelezný, Nada Lavrac
2006	B	`conf`	Relational Data Mining Applied to Virtual Engineering of Product Designs. ILP Monika Záková, Filip Zelezný, Javier A. García-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina
2006	—	`conf`	Relational Descriptive Analysis of Gene Expression Data. STAIRS Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar
2006	—	`conf`	Relational Subgroup Discovery for Descriptive Analysis of Microarray Data. CompLife Igor Trajkovski, Filip Zelezný, Jakub Tolar, Nada Lavrac
2005	C	`conf`	A Decision Support Approach to Modeling Trust in Networked Organizations. IEA/AIE Nada Lavrac, Peter Ljubic, Mitja Jermol, Gregor Papa
2005	C	`conf`	A Decision Support Approach to Trust Modeling in Networked Organizations. PRO-VE Nada Lavrac, Peter Ljubic, Mitja Jermol, Stefan Bollhalter
2005	C	`conf`	Data Mining for Decision Support: An Application in Public Health Care. IEA/AIE Aleksander Pur, Marko Bohanec, Bojan Cestnik, Nada Lavrac, Marko Debeljak, Tadeja Kopac
2005	—	`ch.`	Data Mining in Medicine. The Data Mining and Knowledge Discovery Handbook Nada Lavrac, Blaz Zupan
2005	C	`conf`	Hierarchical Multi-Attribute Decision Support Approach to Virtual Organization Creation. PRO-VE Toni Jarimo, Peter Ljubic, Iiro Salkari, Marko Bohanec, Nada Lavrac, Martin Znidarsic, Stefan Bollhalter, Jirí Hodík
2005	B	`conf`	Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies. AIME Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Mitja Jermol, Tanja Urbancic, Marko Debeljak, Branko Kavsek, Tadeja Kopac
2005	—	`conf`	SolEuNet: Selected Data Mining Techniques and Applications. GfKl Nada Lavrac
2005	B	`conf`	Subgroup Discovery Techniques and Applications. PAKDD Nada Lavrac
2004	A	`conf`	Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics. ECAI Dragan Gamberger, Nada Lavrac
2004	J	`jnl`	Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned. Mach. Learn. Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter A. Flach
2004	J	`jnl`	Editorial: Data Mining Lessons Learned. Mach. Learn. Nada Lavrac, Hiroshi Motoda, Tom Fawcett
2004	J	`jnl`	Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. J. Biomed. Informatics Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar
2004	J	`jnl`	Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. Mach. Learn. Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans
2004	—	`conf`	Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Local Pattern Detection Nada Lavrac, Filip Zelezný, Saso Dzeroski
2004	—	`conf`	ROC Analysis of Example Weighting in Subgroup Discovery. ROCAI Branko Kavsek, Nada Lavrac, Ljupco Todorovski
2004	—	`conf`	Relevancy in Constraint-Based Subgroup Discovery. Constraint-Based Mining and Inductive Databases Nada Lavrac, Dragan Gamberger
2004	J	`jnl`	Subgroup Discovery with CN2-SD. J. Mach. Learn. Res. Nada Lavrac, Branko Kavsek, Peter A. Flach, Ljupco Todorovski
2004	—	`conf`	Supporting a Public Health Care Virtual Organization by Knowledge Technologies. Virtual Enterprises and Collaborative Networks Mitja Jermol, Nada Lavrac, Tanja Urbancic, Tadeja Kopac
2003	B	`conf`	APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery. IDA Branko Kavsek, Nada Lavrac, Viktor Jovanoski
2003	J	`jnl`	Active subgroup mining: a case study in coronary heart disease risk group detection. Artif. Intell. Medicine Dragan Gamberger, Nada Lavrac
2003	B	`conf`	Analysis of Gene Expression Data by the Logic Minimization Approach. AIME Dragan Gamberger, Nada Lavrac
2003	B	`conf`	Comparative Evaluation of Approaches to Propositionalization. ILP Mark-A. Krogel, Simon Alan Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel
2003	—	`ed.`	Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings PKDD Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
2003	—	`ed.`	Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings ECML Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel
2003	J	`jnl`	Managing business intelligence in a virtual enterprise: A case study and knowledge management lessons learned. J. Intell. Fuzzy Syst. Mitja Jermol, Nada Lavrac, Tanja Urbancic
2002	A*	`conf`	Adapting classification rule induction to subgroup discovery. ICDM Nada Lavrac, Peter A. Flach, Branko Kavsek, Ljupco Todorovski
2002	J	`jnl`	Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery. J. Intell. Fuzzy Syst. Dragan Gamberger, Nada Lavrac, Goran Krstacic
2002	A*	`conf`	Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. ICML Dragan Gamberger, Nada Lavrac
2002	J	`jnl`	Expert-Guided Subgroup Discovery: Methodology and Application. J. Artif. Intell. Res. Dragan Gamberger, Nada Lavrac
2002	—	`conf`	Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. PKDD Dragan Gamberger, Nada Lavrac
2002	—	`conf`	Learning in Clausal Logic: A Perspective on Inductive Logic Programming. Computational Logic: Logic Programming and Beyond Peter A. Flach, Nada Lavrac
2002	B	`conf`	RSD: Relational Subgroup Discovery through First-Order Feature Construction. ILP Nada Lavrac, Filip Zelezný, Peter A. Flach
2002	C	`conf`	Virtual Enterprise for Data Mining and Decision Support. PRO-VE Nada Lavrac
2001	J	`jnl`	AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium. Artif. Intell. Medicine Elpida T. Keravnou, Nada Lavrac
2001	J	`jnl`	An extended transformation approach to inductive logic programming. ACM Trans. Comput. Log. Nada Lavrac, Peter A. Flach
2001	Misc	`conf`	Classification Rule Learning with APRIORI-C. EPIA Viktor Jovanoski, Nada Lavrac
2001	—	`conf`	Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction. ECML Branko Kavsek, Nada Lavrac, Anuska Ferligoj
2000	—	`conf`	Confirmation Rule Sets. PKDD Dragan Gamberger, Nada Lavrac
2000	—	`conf`	Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. ISMDA Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc
2000	J	`jnl`	Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. Appl. Artif. Intell. Dragan Gamberger, Nada Lavrac, Saso Dzeroski
2000	—	`conf`	Predictive Performance of Weghted Relative Accuracy. PKDD Ljupco Todorovski, Peter A. Flach, Nada Lavrac
1999	J	`jnl`	A Study of Relevance for Learning in Deductive Databases. J. Log. Program. Nada Lavrac, Dragan Gamberger, Viktor Jovanoski
1999	Misc	`conf`	Challenges for Inductive Logic Programming. EPIA Nada Lavrac
1999	—	`conf`	Diagnostic Rules of Increased Reliability for Critical Medical Applications. AIMDM Dragan Gamberger, Nada Lavrac, Ciril Groselj
1999	J	`jnl`	Editorial. Data Min. Knowl. Discov. Saso Dzeroski, Nada Lavrac
1999	A*	`conf`	Experiments with Noise Filtering in a Medical Domain. ICML Dragan Gamberger, Nada Lavrac, Ciril Groselj
1999	J	`jnl`	Inductive Logic Programming for Relational Knowledge Discovery. New Gener. Comput. Nada Lavrac, Saso Dzeroski, Masayuki Numao
1999	—	`conf`	Machine Learning for Data Mining in Medicine. AIMDM Nada Lavrac
1999	B	`conf`	Rule Evaluation Measures: A Unifying View. ILP Nada Lavrac, Peter A. Flach, Blaz Zupan
1999	J	`jnl`	Selected techniques for data mining in medicine. Artif. Intell. Medicine Nada Lavrac
1998	J	`jnl`	A Relevancy Filter for Constructive Induction. IEEE Intell. Syst. Nada Lavrac, Dragan Gamberger, Peter D. Turney
1998	—	`conf`	Inductive Logic Programming for Relational Knowledge Discovery. IJCSLP Nada Lavrac
1998	J	`jnl`	Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. AI Commun. Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou
1997	—	`conf`	Conditions for Occam's Razor Applicability and Noise Elimination. ECML Dragan Gamberger, Nada Lavrac
1997	B	`conf`	Diagnosis of sport injuries with machine learning: explanation of induced decisions. CBMS Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga
1997	J	`jnl`	Global Energy Minimization of Small Molecules Combining Constraint Logic Programming and Molecular Mechanics. J. Chem. Inf. Comput. Sci. Darko Zupanic, Milan Hodoscek, Nada Lavrac, Igor Mozetic
1997	B	`ed.`	Inductive Logic Programming, 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings ILP Nada Lavrac, Saso Dzeroski
1997	B	`conf`	Machine Learning Applied to Diagnosis of Sport Injuries. AIME Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga
1997	B	`conf`	Using machine learning for outcome prediction of patients with severe head injury. CBMS Iztok A. Pilih, Dunja Mladenic, Nada Lavrac, Tine S. Prevec
1996	J	`jnl`	A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications". Mach. Learn. Nada Lavrac, Saso Dzeroski
1996	B	`conf`	Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. ALT Nada Lavrac, Dragan Gamberger, Peter D. Turney
1996	J	`jnl`	ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography. AI Commun. Nada Lavrac, Irene Weber, Darko Zupanic, Dimitar Kazakov, Olga Stepánková, Saso Dzeroski
1996	J	`jnl`	Induktive Logikprogrammierung - Grundlagen und Techniken. Künstliche Intell. Nada Lavrac, Stefan Wrobel
1996	J	`jnl`	Multiple Predicate Learning in Two Inductive Logic Programming Settings. Log. J. IGPL Luc De Raedt, Nada Lavrac
1996	B	`conf`	Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame. Inductive Logic Programming Workshop Dragan Gamberger, Nada Lavrac
1996	B	`conf`	Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. ALT Dragan Gamberger, Nada Lavrac, Saso Dzeroski
1995	J	`jnl`	Inductive Logic Programming: A Survey of European Research. AI Commun. Nada Lavrac, Luc De Raedt
1995	—	`ed.`	Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings ECML Nada Lavrac, Stefan Wrobel
1994	—	`conf`	Inductive Logic Programming. WLP Nada Lavrac
1994	—	`book`	Inductive logic programming - techniques and applications. Nada Lavrac, Saso Dzeroski
1994	J	`jnl`	Weakening the language bias in LINUS. J. Exp. Theor. Artif. Intell. Nada Lavrac, Saso Dzeroski
1993	J	`jnl`	Inductive Learning in Deductive Databases. IEEE Trans. Knowl. Data Eng. Saso Dzeroski, Nada Lavrac
1993	A*	`conf`	Multiple Predicate Learning. IJCAI Luc De Raedt, Nada Lavrac, Saso Dzeroski
1993	C	`conf`	The Many Faces of Inductive Logic Programming. ISMIS Luc De Raedt, Nada Lavrac
1993	J	`jnl`	The utility of background knowledge in learning medical diagnostic rules. Appl. Artif. Intell. Nada Lavrac, Saso Dzeroski, Vladimir Pirnat, Viljem Krizman
1992	—	`conf`	Background Knowledge and Declarative Bias in Inductive Concept Learning. AII Nada Lavrac, Saso Dzeroski
1992	A	`conf`	Stochastic Search in Inductive Logic Programming. ECAI Matevz Kovacic, Nada Lavrac, Marko Grobelnik, Darko Zupanic, Dunja Mladenic
1991	—	`conf`	Learning Nonrecursive Definitions of Relations with LINUS. EWSL Nada Lavrac, Saso Dzeroski, Marko Grobelnik
1991	—	`conf`	Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL. ML Saso Dzeroski, Nada Lavrac
1991	—	`conf`	Learning Rules for Early Diagnosis of Rheumatic Diseases. SCAI Nada Lavrac, Saso Dzeroski, Vladimir Pirnat, Viljem Krizman
1989	—	`book`	KARDIO - a study in deep and qualitative knowledge for expert systems. Ivan Bratko, Igor Mozetic, Nada Lavrac
1989	J	`jnl`	Methods for knowledge acquisition and refinement in second generation expert systems. SIGART Newsl. Nada Lavrac, Igor Mozetic
1987	—	`ed.`	Progress in Machine Learning - Proceedings of EWSL 87: 2nd European Working Session on Learning, Bled, Yugoslavia, May 1987 EWSL Ivan Bratko, Nada Lavrac
1987	—	`conf`	Review of Five Empirical Learning Systems Within a Proposed Schemata. EWSL Matjaz Gams, Nada Lavrac
1986	A*	`conf`	The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. AAAI Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac
1983	B	`conf`	An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling. Logic Programming Workshop Igor Mozetic, Ivan Bratko, Nada Lavrac