Incremental Graph Construction Enables Robust Spectral Clustering of Texts.

Nada Lavrac Nada Lavrač University of Nova Gorica, Slovenia http://www-ai.ijs.si/NadaLavrac/ https://scholar.google.com/citations?user=vAZ1t84AAAAJ https://en.wikipedia.org/wiki/Nada_Lavra%C4%8D https://orcid.org/0000-0002-9995-7093 https://www.wikidata.org/entity/Q62008784 https://id.loc.gov/authorities/names/n88122390 https://d-nb.info/gnd/170560228

Marko Pranjic Boshko Koloski Nada Lavrac Senja Pollak Marko Robnik-Sikonja Incremental Graph Construction Enables Robust Spectral Clustering of Texts. 2026 March abs/2603.03056 CoRR https://doi.org/10.48550/arXiv.2603.03056 db/journals/corr/corr2603.html#abs-2603-03056 streams/journals/corr

Matej Martinc Matic Perovsek Nada Lavrac Senja Pollak Textflows: an open science NLP evaluation approach. 4439-4468 2025 December 59 Lang. Resour. Evaluation 4 https://doi.org/10.1007/s10579-024-09793-1 db/journals/lre/lre59.html#MartincPLP25 streams/journals/lre

Nikola Ivacic Blaz Skrlj Boshko Koloski Senja Pollak Nada Lavrac Matthew Purver Extreme Multi-Label Text Classification for Less-Represented Languages and Low-Resource Environments: Advances and Lessons Learned. 142 2025 7 Mach. Learn. Knowl. Extr. 4 https://doi.org/10.3390/make7040142 db/journals/make/make7.html#IvacicSKPLP25 streams/journals/make

Boshko Koloski Nada Lavrac Blaz Skrlj HorNets: learning from discrete and continuous signals with routing neural networks. 101 2025 April 114 Mach. Learn. 4 https://doi.org/10.1007/s10994-024-06673-1 db/journals/ml/ml114.html#KoloskiLS25 streams/journals/ml

Blaz Skrlj Boshko Koloski Senja Pollak Nada Lavrac From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies. 181-197 2025 Challenges and Algorithms for Knowledge Discovery from Data https://doi.org/10.1007/978-3-032-03028-3_11 conf/birthday/2025siebes db/conf/birthday/siebes2025.html#SkrljKPL25 Andrej Kastrin Bojan Cestnik Nada Lavrac Recent Advances and Future Directions in Literature-Based Discovery. 198-210 2025 Challenges and Algorithms for Knowledge Discovery from Data https://doi.org/10.1007/978-3-032-03028-3_12 conf/birthday/2025siebes db/conf/birthday/siebes2025.html#KastrinCL25 Bojan Cestnik Andrej Kastrin Boshko Koloski Nada Lavrac Make Literature-Based Discovery Great Again Through Reproducible Pipelines. 261-273 2025 IDA https://doi.org/10.1007/978-3-031-91398-3_20 conf/ida/2025 db/conf/ida/ida2025.html#CestnikKKL25 streams/conf/ida

Boshko Koloski Nada Lavrac Blaz Skrlj HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks. 2025 January abs/2501.14346 CoRR https://doi.org/10.48550/arXiv.2501.14346 db/journals/corr/corr2501.html#abs-2501-14346 streams/journals/corr

Bojan Cestnik Andrej Kastrin Boshko Koloski Nada Lavrac Make Literature-Based Discovery Great Again through Reproducible Pipelines. 2025 February abs/2502.16450 CoRR https://doi.org/10.48550/arXiv.2502.16450 db/journals/corr/corr2502.html#abs-2502-16450 streams/journals/corr

Andraz Repar Nada Lavrac Senja Pollak Extracting domain-specific terms using contextual word embeddings. 2025 February abs/2502.17278 CoRR https://doi.org/10.48550/arXiv.2502.17278 db/journals/corr/corr2502.html#abs-2502-17278 streams/journals/corr

Blaz Skrlj Boshko Koloski Senja Pollak Nada Lavrac From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies. 2025 June abs/2506.09566 CoRR https://doi.org/10.48550/arXiv.2506.09566 db/journals/corr/corr2506.html#abs-2506-09566 streams/journals/corr

Andrej Kastrin Bojan Cestnik Nada Lavrac Recent Advances and Future Directions in Literature-Based Discovery. 2025 June abs/2506.12385 CoRR https://doi.org/10.48550/arXiv.2506.12385 db/journals/corr/corr2506.html#abs-2506-12385 streams/journals/corr

Boshko Koloski Nada Lavrac Bojan Cestnik Senja Pollak Blaz Skrlj Andrej Kastrin AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. 254-265 2024 IDA (1) https://doi.org/10.1007/978-3-031-58547-0_21 conf/ida/2024-1 db/conf/ida/ida2024-1.html#KoloskiLCPSK24 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 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) Springer 2024 Communications in Computer and Information Science 1947 978-3-031-50395-5 978-3-031-50396-2 https://doi.org/10.1007/978-3-031-50396-2 db/conf/ecai/ecai2023w1.html 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 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) Springer 2024 Communications in Computer and Information Science 1948 978-3-031-50484-6 978-3-031-50485-3 https://doi.org/10.1007/978-3-031-50485-3 db/conf/ecai/ecai2023w2.html

Luka Andrensek Boshko Koloski Andraz Pelicon Nada Lavrac Senja Pollak Matthew Purver Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis. 2024 abs/2409.20054 CoRR https://doi.org/10.48550/arXiv.2409.20054 db/journals/corr/corr2409.html#abs-2409-20054 streams/journals/corr

Blaz Skrlj Matej Bevec Nada Lavrac Multimodal AutoML via Representation Evolution. 1-13 2023 March 5 Mach. Learn. Knowl. Extr. 1 https://doi.org/10.3390/make5010001 db/journals/make/make5.html#SkrljBL23

Boshko Koloski Marko Pranjic Nada Lavrac Blaz Skrlj Senja Pollak Inducing Document Representations from Graphs: A Blueprint. 2023 Tiny Papers @ ICLR https://openreview.net/forum?id=2rp3guEM3A conf/iclr/2023tiny db/conf/iclr/iclr2023tiny.html#KoloskiPLSP23

Jan Kralj Blaz Skrlj Ziva Ramsak Nada Lavrac Kristina Gruden DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks. 2023 abs/2302.03907 CoRR https://doi.org/10.48550/arXiv.2302.03907 db/journals/corr/corr2302.html#abs-2302-03907

Boshko Koloski Blaz Skrlj Senja Pollak Nada Lavrac Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data. 2023 abs/2309.15757 CoRR https://doi.org/10.48550/arXiv.2309.15757 db/journals/corr/corr2309.html#abs-2309-15757

Boshko Koloski Nada Lavrac Bojan Cestnik Senja Pollak Blaz Skrlj Andrej Kastrin AHAM: Adapt, Help, Ask, Model - Harvesting LLMs for literature mining. 2023 abs/2312.15784 CoRR https://doi.org/10.48550/arXiv.2312.15784 db/journals/corr/corr2312.html#abs-2312-15784

Tadej Skvorc Nada Lavrac Marko Robnik-Sikonja NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering. 10880-10897 2022 10 IEEE Access https://doi.org/10.1109/ACCESS.2022.3144932 db/journals/access/access10.html#SkvorcLR22

Blaz Skrlj Jan Kralj Janez Konc Marko Robnik-Sikonja Nada Lavrac Deep node ranking for neuro-symbolic structural node embedding and classification. 914-943 2022 37 Int. J. Intell. Syst. 1 https://doi.org/10.1002/int.22651 db/journals/ijis/ijis37.html#SkrljKKRL22

Sebastian Meznar Matej Bevec Nada Lavrac Blaz Skrlj Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation. 1107-1123 2022 December 4 Mach. Learn. Knowl. Extr. 4 https://doi.org/10.3390/make4040056 db/journals/make/make4.html#MeznarBLS22

Blaz Skrlj Saso Dzeroski Nada Lavrac Matej Petkovic ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. 273-317 2022 111 Mach. Learn. 1 https://doi.org/10.1007/s10994-021-05998-5 db/journals/ml/ml111.html#SkrljDLP22

Blaz Skrlj Nika Erzen Nada Lavrac Tanja Kunej Janez Konc CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets. 885-887 2021 37 Bioinform. 6 https://doi.org/10.1093/bioinformatics/btaa762 https://www.wikidata.org/entity/Q98881214 db/journals/bioinformatics/bioinformatics37.html#SkrljELKK21

Sebastian Meznar Nada Lavrac Blaz Skrlj Transfer Learning for Node Regression Applied to Spreading Prediction. 457-481 2021 30 Complex Syst. 4 https://doi.org/10.25088/complexsystems.30.4.457 db/journals/compsys/compsys30.html#MeznarLS21

Blaz Skrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. 101104 2021 65 Comput. Speech Lang. https://doi.org/10.1016/j.csl.2020.101104 https://orkg.org/orkg/resource/R216445 db/journals/csl/csl65.html#SkrljMKLP21

Blaz Skrlj Enja Kokalj Nada Lavrac PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks. 644614 2021 6 Frontiers Res. Metrics Anal. https://doi.org/10.3389/frma.2021.644614 https://www.wikidata.org/entity/Q112613075 db/journals/frma/frma6.html#SkrljKL21

Blaz Skrlj Matej Martinc Nada Lavrac Senja Pollak autoBOT: evolving neuro-symbolic representations for explainable low resource text classification. 989-1028 2021 110 Mach. Learn. 5 https://doi.org/10.1007/s10994-021-05968-x db/journals/ml/ml110.html#SkrljMLP21

Anita Valmarska Nada Lavrac Marko Robnik-Sikonja Stratification of Parkinson's Disease Patients via Multi-view Clustering. 229-239 2021 AIME https://doi.org/10.1007/978-3-030-77211-6_25 conf/aime/2021 db/conf/aime/aime2021.html#ValmarskaLR21 Blaz Skrlj Marko Jukic Nika Erzen Senja Pollak Nada Lavrac Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning. 204-217 2021 DS https://doi.org/10.1007/978-3-030-88942-5_16 conf/dis/2021 db/conf/dis/dis2021.html#SkrljJEPL21 Enja Kokalj Blaz Skrlj Nada Lavrac Senja Pollak Marko Robnik-Sikonja BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. 16-21 2021 EACL (Hackashop) https://aclanthology.org/2021.hackashop-1.3/ conf/eacl/2021hackershop db/conf/eacl/hackershop2021.html#KokaljSLPR21 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 0001 Antoine Doucet Hannu Toivonen EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. 99-109 2021 EACL (Hackashop) https://aclanthology.org/2021.hackashop-1.14/ conf/eacl/2021hackershop db/conf/eacl/hackershop2021.html#PollakRPBSPSKPL21 Senja Pollak Vid Podpecan Janez Kranjc Borut Lesjak Nada Lavrac Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods. 140-148 2021 ICCC https://computationalcreativity.net/iccc21/wp-content/uploads/2021/09/ICCC_2021_paper_54.pdf conf/icccrea/2021 db/conf/icccrea/icccrea2021.html#PollakPKLL21

Blaz Skrlj Saso Dzeroski Nada Lavrac Matej Petkovic ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. 2021 abs/2101.09577 CoRR https://arxiv.org/abs/2101.09577 db/journals/corr/corr2101.html#abs-2101-09577

Sebastian Meznar Nada Lavrac Blaz Skrlj Transfer Learning for Node Regression Applied to Spreading Prediction. 2021 abs/2104.00088 CoRR https://arxiv.org/abs/2104.00088 db/journals/corr/corr2104.html#abs-2104-00088

Timen Stepisnik Perdih Nada Lavrac Blaz Skrlj Semantic Reasoning from Model-Agnostic Explanations. 2021 abs/2106.15433 CoRR https://arxiv.org/abs/2106.15433 db/journals/corr/corr2106.html#abs-2106-15433

Blaz Skrlj Marko Jukic Nika Erzen Senja Pollak Nada Lavrac Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning. 2021 abs/2110.08874 CoRR https://arxiv.org/abs/2110.08874 db/journals/corr/corr2110.html#abs-2110-08874

Sebastian Meznar Matej Bevec Nada Lavrac Blaz Skrlj Link Analysis meets Ontologies: Are Embeddings the Answer? 2021 abs/2111.11710 CoRR https://arxiv.org/abs/2111.11710 db/journals/corr/corr2111.html#abs-2111-11710

Sebastian Meznar Nada Lavrac Blaz Skrlj SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. 212568-212588 2020 8 IEEE Access https://doi.org/10.1109/ACCESS.2020.3039541 db/journals/access/access8.html#MeznarLS20

Dominik Kozjek Rok Vrabic Borut Rihtarsic Nada Lavrac Peter Butala Advancing manufacturing systems with big-data analytics: A conceptual framework. 169-188 2020 33 Int. J. Comput. Integr. Manuf. 2 https://doi.org/10.1080/0951192X.2020.1718765 db/journals/ijcim/ijcim33.html#KozjekVRLB20

Nada Lavrac Blaz Skrlj Marko Robnik-Sikonja Propositionalization and embeddings: two sides of the same coin. 1465-1507 2020 109 Mach. Learn. 7 https://doi.org/10.1007/s10994-020-05890-8 https://www.wikidata.org/entity/Q97681581 https://orkg.org/resource/R74776 db/journals/ml/ml109.html#LavracSR20

Blaz Skrlj Jan Kralj Nada Lavrac Embedding-based Silhouette community detection. 2161-2193 2020 109 Mach. Learn. 11 https://doi.org/10.1007/s10994-020-05882-8 https://www.wikidata.org/entity/Q102064538 db/journals/ml/ml109.html#SkrljKL20

Nada Lavrac Matej Martinc Senja Pollak Marusa Pompe-Novak Bojan Cestnik Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach. 773-800 2020 38 New Gener. Comput. 4 https://doi.org/10.1007/s00354-020-00108-w db/journals/ngc/ngc38.html#LavracMPPC20

Anita Valmarska Dragana Miljkovic Nada Lavrac Marko Robnik-Sikonja Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. 287-298 2020 AIME https://doi.org/10.1007/978-3-030-59137-3_26 conf/aime/2020 db/conf/aime/aime2020.html#ValmarskaMLR20 Sebastian Meznar Nada Lavrac Blaz Skrlj Prediction of the Effects of Epidemic Spreading with Graph Neural Networks. 420-431 2020 COMPLEX NETWORKS (1) https://doi.org/10.1007/978-3-030-65347-7_35 conf/complexnetworks/2020-1 db/conf/complexnetworks/complexnetworks2020-1.html#MeznarLS20 Matej Martinc Blaz Skrlj Sergej Pirkmajer Nada Lavrac Bojan Cestnik Martin Marzidovsek Senja Pollak COVID-19 Therapy Target Discovery with Context-Aware Literature Mining. 109-123 2020 DS https://doi.org/10.1007/978-3-030-61527-7_8 conf/dis/2020 db/conf/dis/dis2020.html#MartincSPLCMP20 Blaz Skrlj Saso Dzeroski Nada Lavrac Matej Petkovic Feature Importance Estimation with Self-Attention Networks. 1491-1498 2020 ECAI https://doi.org/10.3233/FAIA200256 conf/ecai/2020 db/conf/ecai/ecai2020.html#SkrljDLP20 Nada Lavrac Matej Martinc Senja Pollak Bojan Cestnik Bisociative Literature-Based Discovery: Lessons Learned and New Prospects. 139-145 2020 ICCC https://computationalcreativity.net/iccc20/papers/034-iccc20.pdf conf/icccrea/2020 db/conf/icccrea/icccrea2020.html#LavracMPC20

Blaz Skrlj Saso Dzeroski Nada Lavrac Matej Petkovic Feature Importance Estimation with Self-Attention Networks. 2020 abs/2002.04464 CoRR https://arxiv.org/abs/2002.04464 db/journals/corr/corr2002.html#abs-2002-04464

Nada Lavrac Blaz Skrlj Marko Robnik-Sikonja Propositionalization and Embeddings: Two Sides of the Same Coin. 2020 abs/2006.04410 CoRR https://arxiv.org/abs/2006.04410 db/journals/corr/corr2006.html#abs-2006-04410

Matej Martinc Blaz Skrlj Sergej Pirkmajer Nada Lavrac Bojan Cestnik Martin Marzidovsek Senja Pollak COVID-19 therapy target discovery with context-aware literature mining. 2020 abs/2007.15681 CoRR https://arxiv.org/abs/2007.15681 db/journals/corr/corr2007.html#abs-2007-15681

Sebastian Meznar Nada Lavrac Blaz Skrlj SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. 2020 abs/2009.04535 CoRR https://arxiv.org/abs/2009.04535 db/journals/corr/corr2009.html#abs-2009-04535

Blaz Skrlj Jan Kralj Nada Lavrac Py3plex toolkit for visualization and analysis of multilayer networks. 94:1-94:24 2019 4 Appl. Netw. Sci. 1 https://doi.org/10.1007/s41109-019-0203-7 https://www.wikidata.org/entity/Q126862145 db/journals/ans/ans4.html#SkrljKL19

Vid Podpecan Ziva Ramsak Kristina Gruden Hannu Toivonen Nada Lavrac Interactive exploration of heterogeneous biological networks with Biomine Explorer. 5385-5388 2019 35 Bioinform. 24 https://doi.org/10.1093/bioinformatics/btz509 https://www.wikidata.org/entity/Q92981570 db/journals/bioinformatics/bioinformatics35.html#PodpecanRGTL19

Ping Xiao Hannu Toivonen Oskar Gross Amílcar Cardoso João Correia 0001 Penousal Machado Pedro Martins 0003 Hugo Gonçalo Oliveira Rahul Sharma 0008 Alexandre Miguel Pinto Alberto Díaz 0001 Virginia Francisco Pablo Gervás Raquel Hervás Carlos León 0002 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 Conceptual Representations for Computational Concept Creation. 9:1-9:33 2019 52 ACM Comput. Surv. 1 https://doi.org/10.1145/3186729 https://www.wikidata.org/entity/Q128321109 db/journals/csur/csur52.html#XiaoTGCCMMOSPDF19

Pedro Martins 0003 Hugo Gonçalo Oliveira João Gonçalves António Cruz Amílcar Cardoso Martin Znidarsic Nada Lavrac Simo Linkola Hannu Toivonen Raquel Hervás Gonzalo Méndez 0001 Pablo Gervás Computational creativity infrastructure for online software composition: A conceptual blending use case. 9:1-9:17 2019 63 IBM J. Res. Dev. 1 https://doi.org/10.1147/JRD.2019.2898417 https://www.wikidata.org/entity/Q111899546 db/journals/ibmrd/ibmrd63.html#MartinsOGCCZLLT19

Blaz Skrlj Jan Kralj Nada Lavrac CBSSD: community-based semantic subgroup discovery. 265-304 2019 53 J. Intell. Inf. Syst. 2 https://doi.org/10.1007/s10844-019-00545-0 db/journals/jiis/jiis53.html#SkrljKL19

Jan Kralj Marko Robnik-Sikonja Nada Lavrac NetSDM: Semantic Data Mining with Network Analysis. 32:1-32:50 2019 20 J. Mach. Learn. Res. https://jmlr.org/papers/v20/17-066.html db/journals/jmlr/jmlr20.html#KraljRL19

Dragan Gamberger Tjasa Stare Dragana Miljkovic Kristina Gruden Nada Lavrac Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data. 400-413 2019 1 Mach. Learn. Knowl. Extr. 1 https://doi.org/10.3390/make1010023 https://www.wikidata.org/entity/Q128596439 db/journals/make/make1.html#GambergerSMGL19

Blaz Skrlj Jan Kralj Nada Lavrac Senja Pollak Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture. 575-589 2019 1 Mach. Learn. Knowl. Extr. 2 https://doi.org/10.3390/make1020034 db/journals/make/make1.html#SkrljKLP19

Anita Valmarska Dragana Miljkovic Marko Robnik-Sikonja Nada Lavrac Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. 263-268 2019 AIME https://doi.org/10.1007/978-3-030-21642-9_32 conf/aime/2019 db/conf/aime/aime2019.html#ValmarskaMRL19 Blaz Skrlj Nada Lavrac Jan Kralj Symbolic Graph Embedding Using Frequent Pattern Mining. 261-275 2019 DS https://doi.org/10.1007/978-3-030-33778-0_21 conf/dis/2019 db/conf/dis/dis2019.html#SkrljLK19 Nada Lavrac Matjaz Jursic Borut Sluban Matic Perovsek Senja Pollak Tanja Urbancic Bojan Cestnik Bisociative Knowledge Discovery for Cross-domain Literature Mining. 121-139 2019 Computational Creativity https://doi.org/10.1007/978-3-319-43610-4_6 books/sp/19/VC2019 db/books/collections/VC2019.html#LavracJSPPUC19

Blaz Skrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. 2019 abs/1902.00438 CoRR http://arxiv.org/abs/1902.00438 db/journals/corr/corr1902.html#abs-1902-00438

Blaz Skrlj Jan Kralj Janez Konc Marko Robnik-Sikonja Nada Lavrac Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification. 2019 abs/1902.03964 CoRR http://arxiv.org/abs/1902.03964 db/journals/corr/corr1902.html#abs-1902-03964

Blaz Skrlj Jan Kralj Nada Lavrac Embedding-based Silhouette Community Detection. 2019 abs/1908.02556 CoRR http://arxiv.org/abs/1908.02556 db/journals/corr/corr1908.html#abs-1908-02556

Blaz Skrlj Jan Kralj Nada Lavrac Symbolic Graph Embedding using Frequent Pattern Mining. 2019 abs/1910.13314 CoRR http://arxiv.org/abs/1910.13314 db/journals/corr/corr1910.html#abs-1910-13314

Anita Valmarska Dragana Miljkovic Spiros Konitsiotis Dimitris Gatsios Nada Lavrac Marko Robnik-Sikonja Symptoms and medications change patterns for Parkinson's disease patients stratification. 82-95 2018 91 Artif. Intell. Medicine https://doi.org/10.1016/j.artmed.2018.04.010 https://www.wikidata.org/entity/Q64869639 db/journals/artmed/artmed91.html#ValmarskaMKGLR18

Dragana Miljkovic Nada Lavrac Marko Bohanec Biljana Mileva-Boshkoska Discovering dependencies between domains of redox potential and plant defence through triplet extraction and copulas. 61-77 2018 6 Int. J. Intell. Eng. Informatics 1/2 https://doi.org/10.1504/IJIEI.2018.10012065 db/journals/ijiei/ijiei6.html#MiljkovicLBM18

Matej Martinc Martin Znidarsic Nada Lavrac Senja Pollak Towards Creative Software Blending: Computational Infrastructure and Use Cases. 2018 42 Informatica (Slovenia) 1 http://www.informatica.si/index.php/informatica/article/view/2234 db/journals/informaticaSI/informaticaSI42.html#MartincZLP18

Senja Pollak Geraint A. Wiggins Martin Znidarsic Nada Lavrac Computational Creativity in Slovenia. 2018 42 Informatica (Slovenia) 1 http://www.informatica.si/index.php/informatica/article/view/2233 db/journals/informaticaSI/informaticaSI42.html#PollakWZL18

Jan Kralj Marko Robnik-Sikonja Nada Lavrac HINMINE: heterogeneous information network mining with information retrieval heuristics. 29-61 2018 50 J. Intell. Inf. Syst. 1 https://doi.org/10.1007/s10844-017-0444-9 db/journals/jiis/jiis50.html#KraljRL18

Matej Mihelcic Saso Dzeroski Nada Lavrac Tomislav Smuc Redescription mining augmented with random forest of multi-target predictive clustering trees. 63-96 2018 50 J. Intell. Inf. Syst. 1 https://doi.org/10.1007/s10844-017-0448-5 db/journals/jiis/jiis50.html#MihelcicDLS18

Anita Valmarska Dragana Miljkovic Nada Lavrac Marko Robnik-Sikonja Analysis of medications change in Parkinson's disease progression data. 301-337 2018 51 J. Intell. Inf. Syst. 2 https://doi.org/10.1007/s10844-018-0502-y db/journals/jiis/jiis51.html#ValmarskaMLR18

Anita Valmarska Dragana Miljkovic Nada Lavrac Marko Robnik-Sikonja Correction to: Analysis of medications change in Parkinson's disease progression data. 339-340 2018 51 J. Intell. Inf. Syst. 2 https://doi.org/10.1007/s10844-018-0512-9 db/journals/jiis/jiis51.html#ValmarskaMLR18a

Blaz Skrlj Jan Kralj Nada Lavrac Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization. 757-768 2018 COMPLEX NETWORKS (1) https://doi.org/10.1007/978-3-030-05411-3_60 conf/complexnetworks/2018-1 db/conf/complexnetworks/complexnetworks2018-1.html#SkrljKL18 Anita Valmarska Dragana Miljkovic Marko Robnik-Sikonja Nada Lavrac Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns. 466-479 2018 DS https://doi.org/10.1007/978-3-030-01771-2_30 conf/dis/2018 db/conf/dis/dis2018.html#ValmarskaMRL18 Geraint A. Wiggins Nada Lavrac Vid Podpecan Senja Pollak Conceptualising Computational Creativity: Towards automated historiography of a research field. 288-295 2018 ICCC https://computationalcreativity.net/iccc2018/sites/default/files/papers/ICCC_2018_paper_66.pdf conf/icccrea/2018 db/conf/icccrea/icccrea2018.html#WigginsLPP18 Blaz Skrlj Jan Kralj Nada Lavrac Targeted End-to-End Knowledge Graph Decomposition. 157-171 2018 ILP https://doi.org/10.1007/978-3-319-99960-9_10 conf/ilp/2018 db/conf/ilp/ilp2018.html#SkrljKL18

Matej Mihelcic Saso Dzeroski Nada Lavrac Tomislav Smuc A framework for redescription set construction. 196-215 2017 68 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2016.10.012 db/journals/eswa/eswa68.html#MihelcicDLS17

Anita Valmarska Nada Lavrac Johannes Fürnkranz Marko Robnik-Sikonja Refinement and selection heuristics in subgroup discovery and classification rule learning. 147-162 2017 81 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2017.03.041 db/journals/eswa/eswa81.html#ValmarskaLFR17

Donatella Gubiani Elsa Fabbretti Bojan Cestnik Nada Lavrac Tanja Urbancic Outlier based literature exploration for cross-domain linking of Alzheimer's disease and gut microbiota. 386-396 2017 85 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2017.05.026 db/journals/eswa/eswa85.html#GubianiFCLU17

Janez Kranjc Roman Orac Vid Podpecan Nada Lavrac Marko Robnik-Sikonja ClowdFlows: Online workflows for distributed big data mining. 38-58 2017 68 Future Gener. Comput. Syst. https://doi.org/10.1016/j.future.2016.07.018 db/journals/fgcs/fgcs68.html#KranjcOPLR17

Anita Valmarska Dragana Miljkovic Spiros Konitsiotis Dimitris Gatsios Nada Lavrac Marko Robnik-Sikonja Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification. 116-125 2017 AIME https://doi.org/10.1007/978-3-319-59758-4_13 conf/aime/2017 db/conf/aime/aime2017.html#ValmarskaMKGLR17 Blaz Skrlj Jan Kralj Anze Vavpetic Nada Lavrac Community-Based Semantic Subgroup Discovery. 182-196 2017 NFMCP@PKDD/ECML https://doi.org/10.1007/978-3-319-78680-3_13 conf/pkdd/2017nfmcp db/conf/pkdd/nfmcp2017.html#SkrljKVL17 Petra Kralj Novak Nada Lavrac Geoffrey I. Webb Supervised Descriptive Rule Induction. 1210-1213 2017 Encyclopedia of Machine Learning and Data Mining https://doi.org/10.1007/978-1-4899-7687-1_808 reference/ml/2017 db/reference/ml/ml2017.html#NovakLW17

Matej Mihelcic Goran Simic Mirjana Babic Leko Nada Lavrac Saso Dzeroski Tomislav Smuc Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients. 2017 abs/1702.06831 CoRR http://arxiv.org/abs/1702.06831 db/journals/corr/corr1702.html#MihelcicSLLDS17

Dragan Gamberger Bernard Zenko Alexis Mitelpunkt Netta Shachar Nada Lavrac Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. 169-179 2016 3 Brain Informatics 3 https://doi.org/10.1007/s40708-016-0035-5 https://www.wikidata.org/entity/Q37131886 db/journals/braininf/braininf3.html#GambergerZMSL16

Prem Raj Adhikari Anze Vavpetic Jan Kralj Nada Lavrac Jaakko Hollmén Explaining mixture models through semantic pattern mining and banded matrix visualization. 3-39 2016 105 Mach. Learn. 1 https://doi.org/10.1007/s10994-016-5550-3 db/journals/ml/ml105.html#AdhikariVKLH16

Matic Perovsek Janez Kranjc Tomaz Erjavec Bojan Cestnik Nada Lavrac TextFlows: A visual programming platform for text mining and natural language processing. 128-152 2016 121 Sci. Comput. Program. https://doi.org/10.1016/j.scico.2016.01.001 https://www.wikidata.org/entity/Q57722989 db/journals/scp/scp121.html#PerovsekKECL16

Dragana Miljkovic Nada Lavrac Marko Bohanec Biljana Mileva-Boshkoska Detection of dependencies between literature domains through relation extraction and copulas. 302-307 2016 CoDIT https://doi.org/10.1109/CoDIT.2016.7593578 conf/codit/2016 db/conf/codit/codit2016.html#MiljkovicLBM16 Senja Pollak Biljana Mileva-Boshkoska Dragana Miljkovic Geraint A. Wiggins Nada Lavrac Computational Creativity Conceptualisation Grounded on ICCC Papers. 123-130 2016 ICCC https://computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Computational-Creativity-Conceptualisation-Grounded-on-ICCC-Papers.pdf conf/icccrea/2016 db/conf/icccrea/icccrea2016.html#PollakMMWL16 Martin Znidarsic Amílcar Cardoso Pablo Gervás Pedro Martins 0003 Raquel Hervás Ana Oliveira Alves Hugo Gonçalo Oliveira Ping Xiao Simo Linkola Hannu Toivonen Janez Kranjc Nada Lavrac Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case. 371-379 2016 ICCC https://computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Computational-Creativity-Infrastructure-for-Online-Software-Composition.pdf conf/icccrea/2016 db/conf/icccrea/icccrea2016.html#ZnidarsicCGMHAO16 Jasmina Smailovic Miha Grcar Nada Lavrac Martin Znidarsic Dynamic Parameter Adaptation of SVM Based Active Learning Methodology. 17-24 2016 AL@iKNOW https://ceur-ws.org/Vol-1707/alatiknow_paper3.pdf conf/iknow/2016al db/conf/iknow/al2016.html#SmailovicGLZ16 Jan Kralj Anze Vavpetic Michel Dumontier Nada Lavrac Network Ranking Assisted Semantic Data Mining. 752-764 2016 IWBBIO https://doi.org/10.1007/978-3-319-31744-1_65 https://www.wikidata.org/entity/Q56160887 conf/iwbbio/2016 db/conf/iwbbio/iwbbio2016.html#KraljVDL16 Anita Valmarska Dragana Miljkovic Marko Robnik-Sikonja Nada Lavrac Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis. 163-178 2016 NFMCP@PKDD/ECML https://doi.org/10.1007/978-3-319-61461-8_11 conf/pkdd/2016nfmcp db/conf/pkdd/nfmcp2016.html#ValmarskaMRL16 Tadej Skvorc Nada Lavrac Marko Robnik-Sikonja Co-Bidding Graphs for Constrained Paper Clustering. 1:1-1:13 2016 SLATE https://doi.org/10.4230/OASIcs.SLATE.2016.1 conf/slate/2016 db/conf/slate/slate2016.html#SkvorcLR16 Matic Perovsek Matjaz Jursic Bojan Cestnik Nada Lavrac Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform. 59-98 2016 Machine Learning for Health Informatics https://doi.org/10.1007/978-3-319-50478-0_4 series/lncs/9605 db/series/lncs/lncs9605.html#PerovsekJCL16 Dragana Miljkovic Darko Aleksovski Vid Podpecan Nada Lavrac Bernd Malle Andreas Holzinger Machine Learning and Data Mining Methods for Managing Parkinson's Disease. 209-220 2016 Machine Learning for Health Informatics https://doi.org/10.1007/978-3-319-50478-0_10 https://www.wikidata.org/entity/Q58886338 series/lncs/9605 db/series/lncs/lncs9605.html#MiljkovicAPLMH16

Matej Mihelcic Saso Dzeroski Nada Lavrac Tomislav Smuc A framework for redescription set construction. 2016 abs/1606.03935 CoRR http://arxiv.org/abs/1606.03935 db/journals/corr/corr1606.html#MihelcicDLS16

Matic Perovsek Anze Vavpetic Janez Kranjc Bojan Cestnik Nada Lavrac Wordification: Propositionalization by unfolding relational data into bags of words. 6442-6456 2015 42 Expert Syst. Appl. 17-18 https://doi.org/10.1016/j.eswa.2015.04.017 db/journals/eswa/eswa42.html#PerovsekVKCL15

Borut Sluban Nada Lavrac Relating ensemble diversity and performance: A study in class noise detection. 120-131 2015 160 Neurocomputing https://doi.org/10.1016/j.neucom.2014.10.086 db/journals/ijon/ijon160.html#SlubanL15

Janez Kranjc Jasmina Smailovic Vid Podpecan Miha Grcar Martin Znidarsic Nada Lavrac Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform. 187-203 2015 51 Inf. Process. Manag. 2 https://doi.org/10.1016/j.ipm.2014.04.001 db/journals/ipm/ipm51.html#KranjcSPGZL15

Dragan Gamberger Bernard Zenko Alexis Mitelpunkt Nada Lavrac Identification of Gender Specific Biomarkers for Alzheimer's Disease. 57-66 2015 BIH https://doi.org/10.1007/978-3-319-23344-4_6 conf/brain/2015 db/conf/brain/brain2015.html#GambergerZML15 Pedro Martins 0003 Tanja Urbancic Senja Pollak Nada Lavrac Amílcar Cardoso The Good, the Bad, and the AHA! Blends. 166-173 2015 ICCC https://computationalcreativity.net/iccc2015/proceedings/7_3Martins.pdf conf/icccrea/2015 db/conf/icccrea/icccrea2015.html#MartinsUPLC15 Dragan Gamberger Bernard Zenko Alexis Mitelpunkt Nada Lavrac Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. 134-145 2015 IWBBIO (1) https://doi.org/10.1007/978-3-319-16483-0_13 conf/iwbbio/2015-1 db/conf/iwbbio/iwbbio2015-1.html#GambergerZML15 Nada Lavrac Anze Vavpetic Relational and Semantic Data Mining - - Invited Talk -. 20-31 2015 LPNMR https://doi.org/10.1007/978-3-319-23264-5_3 conf/lpnmr/2015 db/conf/lpnmr/lpnmr2015.html#LavracV15 Jan Kralj Anita Valmarska Marko Robnik-Sikonja Nada Lavrac Mining Text Enriched Heterogeneous Citation Networks. 672-683 2015 PAKDD (1) https://doi.org/10.1007/978-3-319-18038-0_52 conf/pakdd/2015-1 db/conf/pakdd/pakdd2015-1.html#KraljVRL15 Matej Mihelcic Saso Dzeroski Nada Lavrac Tomislav Smuc Redescription Mining with Multi-target Predictive Clustering Trees. 125-143 2015 NFMCP https://doi.org/10.1007/978-3-319-39315-5_9 conf/pkdd/2015nfmcp db/conf/pkdd/nfmcp2015.html#MihelcicDLS15 Jan Kralj Marko Robnik-Sikonja Nada Lavrac Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics. 194-208 2015 NFMCP https://doi.org/10.1007/978-3-319-39315-5_13 conf/pkdd/2015nfmcp db/conf/pkdd/nfmcp2015.html#KraljRL15 Senja Pollak Borut Lesjak Janez Kranjc Vid Podpecan Martin nidaric Nada Lavrac RoboCHAIR: Creative Assistant for Question Generation and Ranking. 1468-1475 2015 SSCI https://doi.org/10.1109/SSCI.2015.208 conf/ssci/2015 db/conf/ssci/ssci2015.html#PollakLKPnL15

Dany Morisset Petra Kralj Novak Darko Zupanic Kristina Gruden Nada Lavrac Jana Zel GMOseek: a user friendly tool for optimized GMO testing. 258 2014 15 BMC Bioinform. https://doi.org/10.1186/1471-2105-15-258 https://www.wikidata.org/entity/Q34067510 db/journals/bmcbi/bmcbi15.html#MorissetNZGLe14

Borut Sluban Dragan Gamberger Nada Lavrac Ensemble-based noise detection: noise ranking and visual performance evaluation. 265-303 2014 28 Data Min. Knowl. Discov. 2 https://doi.org/10.1007/s10618-012-0299-1 db/journals/datamine/datamine28.html#SlubanGL14

Dragana Miljkovic Matjaz Depolli Tjasa Stare Igor Mozetic Marko Petek Kristina Gruden Nada Lavrac Plant defence model revisions through iterative minimisation of constraint violations. 61-79 2014 7 Int. J. Comput. Biol. Drug Des. 1 https://doi.org/10.1504/IJCBDD.2014.058588 https://www.wikidata.org/entity/Q42243002 db/journals/ijcbdd/ijcbdd7.html#MiljkovicDSMPGL14

Jasmina Smailovic Miha Grcar Nada Lavrac Martin Znidarsic Stream-based active learning for sentiment analysis in the financial domain. 181-203 2014 285 Inf. Sci. https://doi.org/10.1016/j.ins.2014.04.034 db/journals/isci/isci285.html#SmailovicGLZ14

Anze Vavpetic Vid Podpecan Nada Lavrac Semantic subgroup explanations. 233-254 2014 42 J. Intell. Inf. Syst. 2 https://doi.org/10.1007/s10844-013-0292-1 https://orkg.org/orkg/resource/R69661 db/journals/jiis/jiis42.html#VavpeticPL14

Prem Raj Adhikari Anze Vavpetic Jan Kralj Nada Lavrac Jaakko Hollmén Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. 1-12 2014 Discovery Science https://doi.org/10.1007/978-3-319-11812-3_1 conf/dis/2014 db/conf/dis/dis2014.html#AdhikariVKLH14 Dragan Gamberger Matej Mihelcic Nada Lavrac Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. 87-98 2014 Discovery Science https://doi.org/10.1007/978-3-319-11812-3_8 conf/dis/2014 db/conf/dis/dis2014.html#GambergerML14 Maria Teresa Llano Rose Hepworth Simon Colton Jeremy Gow John William Charnley Nada Lavrac Martin Znidarsic Matic Perovsek Mark Granroth-Wilding Stephen Clark Baseline Methods for Automated Fictional Ideation. 211-219 2014 ICCC https://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06/11.1_Llano.pdf conf/icccrea/2014 db/conf/icccrea/icccrea2014.html#LlanoHCGCLZPGC14 Nada Lavrac Matic Perovsek Anze Vavpetic Propositionalization Online. 456-459 2014 ECML/PKDD (3) https://doi.org/10.1007/978-3-662-44845-8_34 conf/pkdd/2014-3 db/conf/pkdd/pkdd2014-3.html#LavracPV14 Simon Colton Dan Ventura Nada Lavrac Michael Cook 0001 Proceedings of the Fifth International Conference on Computational Creativity, ICCC 2014, Ljubljana, Slovenia, June 10-13, 2014. ICCC computationalcreativity.net 2014 978-961-264-055-2 https://computationalcreativity.net/iccc2014/proceedings/ db/conf/icccrea/icccrea2014.html

Laura Langohr Vid Podpecan Marko Petek Igor Mozetic Kristina Gruden Nada Lavrac Hannu Toivonen Contrasting Subgroup Discovery. 289-303 2013 56 Comput. J. 3 https://doi.org/10.1093/comjnl/bxs132 db/journals/cj/cj56.html#LangohrPPMGLT13

Anze Vavpetic Nada Lavrac Semantic Subgroup Discovery Systems and Workflows in the SDM-Toolkit. 304-320 2013 56 Comput. J. 3 https://doi.org/10.1093/comjnl/bxs057 db/journals/cj/cj56.html#VavpeticL13

Miha Grcar Nejc Trdin Nada Lavrac A Methodology for Mining Document-Enriched Heterogeneous Information Networks. 321-335 2013 56 Comput. J. 3 https://doi.org/10.1093/comjnl/bxs058 db/journals/cj/cj56.html#GrcarTL13

Nada Lavrac Petra Kralj Novak Relational and Semantic Data Mining for Biomedical Research. 35-39 2013 37 Informatica (Slovenia) 1 http://www.informatica.si/index.php/informatica/article/view/431 db/journals/informaticaSI/informaticaSI37.html#LavracN13

Vid Podpecan Dragana Miljkovic Marko Petek Tjasa Stare Kristina Gruden Igor Mozetic Nada Lavrac Integrating semantic transcriptomic data analysis and knowledge extraction from biological literature. 477-480 2013 BIBM https://doi.org/10.1109/BIBM.2013.6732540 https://doi.ieeecomputersociety.org/10.1109/BIBM.2013.6732540 conf/bibm/2013 db/conf/bibm/bibm2013.html#PodpecanMPSGML13 Janez Kranjc Vid Podpecan Nada Lavrac Real-time data analysis in ClowdFlows. 15-22 2013 IEEE BigData https://doi.org/10.1109/BigData.2013.6691682 https://doi.ieeecomputersociety.org/10.1109/BigData.2013.6691682 conf/bigdataconf/2013 db/conf/bigdataconf/bigdataconf2013.html#KranjcPL13 Matic Perovsek Anze Vavpetic Bojan Cestnik Nada Lavrac A Wordification Approach to Relational Data Mining. 141-154 2013 Discovery Science https://doi.org/10.1007/978-3-642-40897-7_10 conf/dis/2013 db/conf/dis/dis2013.html#PerovsekVCL13 Anze Vavpetic Petra Kralj Novak Miha Grcar Igor Mozetic Nada Lavrac Semantic Data Mining of Financial News Articles. 294-307 2013 Discovery Science https://doi.org/10.1007/978-3-642-40897-7_20 conf/dis/2013 db/conf/dis/dis2013.html#VavpeticNGML13 Matic Perovsek Bojan Cestnik Tanja Urbancic Simon Colton Nada Lavrac Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices. 333-344 2013 IDA https://doi.org/10.1007/978-3-642-41398-8_29 conf/ida/2013 db/conf/ida/ida2013.html#PerovsekCUCL13 Dragana Miljkovic Vid Podpecan Tjasa Stare Igor Mozetic Kristina Gruden Nada Lavrac Incremental revision of biological networks from texts. 1-9 2013 IWBBIO http://iwbbio.ugr.es/papers/iwbbio_001.pdf conf/iwbbio/2013 db/conf/iwbbio/iwbbio2013.html#MiljkovicPSMGL13 Borut Sluban Nada Lavrac ViperCharts: Visual Performance Evaluation Platform. 650-653 2013 ECML/PKDD (3) https://doi.org/10.1007/978-3-642-40994-3_47 conf/pkdd/2013-3 db/conf/pkdd/pkdd2013-3.html#SlubanL13 Jasmina Smailovic Miha Grcar Nada Lavrac Martin Znidarsic Predictive Sentiment Analysis of Tweets: A Stock Market Application. 77-88 2013 CHI-KDD https://doi.org/10.1007/978-3-642-39146-0_8 conf/southchi/2013chikdd db/conf/southchi/chikdd2013.html#SmailovicGLZ13 Matjaz Jursic Bojan Cestnik Tanja Urbancic Nada Lavrac HCI Empowered Literature Mining for Cross-Domain Knowledge Discovery. 124-135 2013 CHI-KDD https://doi.org/10.1007/978-3-642-39146-0_12 conf/southchi/2013chikdd db/conf/southchi/chikdd2013.html#JursicCUL13 Johannes Fürnkranz Dragan Gamberger Nada Lavrac Foundations of Rule Learning 2012 1-298 Springer Cognitive Technologies 978-3-540-75196-0 https://doi.org/10.1007/978-3-540-75197-7

Ingrid Petric Bojan Cestnik Nada Lavrac Tanja Urbancic Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining. 47-61 2012 55 Comput. J. 1 https://doi.org/10.1093/comjnl/bxq074 db/journals/cj/cj55.html#PetricCLU12

Vid Podpecan Monika Zemenova Nada Lavrac Orange4WS Environment for Service-Oriented Data Mining. 82-98 2012 55 Comput. J. 1 https://doi.org/10.1093/comjnl/bxr077 db/journals/cj/cj55.html#PodpecanZL12

Dragana Miljkovic Matjaz Depolli Igor Mozetic Nada Lavrac Tjasa Stare Marko Petek Kristina Gruden Constraint-driven optimization of plant defense model parameters. 570-574 2012 BIBM Workshops https://doi.org/10.1109/BIBMW.2012.6470202 https://doi.ieeecomputersociety.org/10.1109/BIBMW.2012.6470202 conf/bibm/2012w db/conf/bibm/bibmw2012.html#MiljkovicDMLSPG12 Nada Lavrac Advances in Data Mining for Biomedical Research. 1-5 2012 CBMS https://doi.org/10.1109/CBMS.2012.6266291 https://doi.ieeecomputersociety.org/10.1109/CBMS.2012.6266291 conf/cbms/2012 db/conf/cbms/cbms2012.html#Lavrac12 Matjaz Jursic Bojan Cestnik Tanja Urbancic Nada Lavrac Cross-domain literature mining: Finding bridging concepts with CrossBee. 33-40 2012 ICCC https://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/033-Jursic.pdf conf/icccrea/2012 db/conf/icccrea/icccrea2012.html#JursicCUL12 Matic Perovsek Anze Vavpetic Nada Lavrac A Wordification Approach to Relational Data Mining: Early Results. 56-61 2012 ILP (Late Breaking Papers) https://ceur-ws.org/Vol-975/paper-06.pdf conf/ilp/2012lbr db/conf/ilp/ilp2012lbp.html#PerovsekVL12 Senja Pollak Anze Vavpetic Janez Kranjc Nada Lavrac Spela Vintar NLP workflow for on-line definition extraction from English and Slovene text corpora. 53-60 2012 KONVENS http://www.oegai.at/konvens2012/proceedings/10_pollak12o/ conf/konvens/2012 db/conf/konvens/konvens2012.html#PollakVKLV12 Borut Sluban Senja Pollak Roel Coesemans Nada Lavrac Irregularity Detection in Categorized Document Corpora. 1598-1603 2012 LREC http://www.lrec-conf.org/proceedings/lrec2012/summaries/706.html conf/lrec/2012 db/conf/lrec/lrec2012.html#SlubanPCL12 Janez Kranjc Vid Podpecan Nada Lavrac ClowdFlows: A Cloud Based Scientific Workflow Platform. 816-819 2012 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-33486-3_54 conf/pkdd/2012-2 db/conf/pkdd/pkdd2012-2.html#KranjcPL12 Anze Vavpetic Vid Podpecan Stijn Meganck Nada Lavrac Explaining Subgroups through Ontologies. 625-636 2012 PRICAI https://doi.org/10.1007/978-3-642-32695-0_55 conf/pricai/2012 db/conf/pricai/pricai2012.html#VavpeticPML12 Matjaz Jursic Borut Sluban Bojan Cestnik Miha Grcar Nada Lavrac Bridging Concept Identification for Constructing Information Networks from Text Documents. 66-90 2012 Bisociative Knowledge Discovery https://doi.org/10.1007/978-3-642-31830-6_6 series/lncs/7250 db/series/lncs/lncs7250.html#JursicSCGL12 Ingrid Petric Bojan Cestnik Nada Lavrac Tanja Urbancic Bisociative Knowledge Discovery by Literature Outlier Detection. 313-324 2012 Bisociative Knowledge Discovery https://doi.org/10.1007/978-3-642-31830-6_22 series/lncs/7250 db/series/lncs/lncs7250.html#PetricCLU12 Borut Sluban Matjaz Jursic Bojan Cestnik Nada Lavrac Exploring the Power of Outliers for Cross-Domain Literature Mining. 325-337 2012 Bisociative Knowledge Discovery https://doi.org/10.1007/978-3-642-31830-6_23 series/lncs/7250 db/series/lncs/lncs7250.html#SlubanJCL12 Matjaz Jursic Bojan Cestnik Tanja Urbancic Nada Lavrac Bisociative Literature Mining by Ensemble Heuristics. 338-358 2012 Bisociative Knowledge Discovery https://doi.org/10.1007/978-3-642-31830-6_24 series/lncs/7250 db/series/lncs/lncs7250.html#JursicCUL12 Igor Mozetic Nada Lavrac Applications and Evaluation: Overview. 359-363 2012 Bisociative Knowledge Discovery https://doi.org/10.1007/978-3-642-31830-6_25 series/lncs/7250 db/series/lncs/lncs7250.html#MozeticL12 Igor Mozetic Nada Lavrac Vid Podpecan Petra Kralj Novak Helena Motaln Marko Petek Kristina Gruden Hannu Toivonen Kimmo Kulovesi Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis. 379-389 2012 Bisociative Knowledge Discovery https://doi.org/10.1007/978-3-642-31830-6_27 series/lncs/7250 db/series/lncs/lncs7250.html#MozeticLPNMPGTK12 Dragana Miljkovic Vid Podpecan Miha Grcar Kristina Gruden Tjasa Stare Marko Petek Igor Mozetic Nada Lavrac Modelling a Biological System: Network Creation by Triplet Extraction from Biological Literature. 427-437 2012 Bisociative Knowledge Discovery https://doi.org/10.1007/978-3-642-31830-6_30 series/lncs/7250 db/series/lncs/lncs7250.html#MiljkovicPGGSPML12

Vid Podpecan Nada Lavrac Igor Mozetic Petra Kralj Novak Igor Trajkovski Laura Langohr Kimmo Kulovesi Hannu Toivonen Marko Petek Helena Motaln Kristina Gruden SegMine workflows for semantic microarray data analysis in Orange4WS. 416 2011 12 BMC Bioinform. https://doi.org/10.1186/1471-2105-12-416 https://www.wikidata.org/entity/Q34058962 db/journals/bmcbi/bmcbi12.html#PodpecanLMNTLKTPMG11

Monika Záková Petr Kremen Filip Zelezný Nada Lavrac Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning. 253-264 2011 8 IEEE Trans Autom. Sci. Eng. 2 https://doi.org/10.1109/TASE.2010.2070838 db/journals/tase/tase8.html#ZakovaKZL11

Borut Sluban Matjaz Jursic Bojan Cestnik Nada Lavrac Evaluating Outliers for Cross-Context Link Discovery. 343-347 2011 AIME https://doi.org/10.1007/978-3-642-22218-4_44 conf/aime/2011 db/conf/aime/aime2011.html#SlubanJCL11 Miha Grcar Nada Lavrac A Methodology for Mining Document-Enriched Heterogeneous Information Networks. 107-121 2011 Discovery Science https://doi.org/10.1007/978-3-642-24477-3_11 conf/dis/2011 db/conf/dis/dis2011.html#GrcarL11 Nada Lavrac Anze Vavpetic Larisa N. Soldatova Igor Trajkovski Petra Kralj Novak Using Ontologies in Semantic Data Mining with SEGS and g-SEGS. 165-178 2011 Discovery Science https://doi.org/10.1007/978-3-642-24477-3_15 conf/dis/2011 db/conf/dis/dis2011.html#LavracVSTN11 Anze Vavpetic Nada Lavrac Using Ontologies in Semantic Data Mining with g-SEGS and Aleph. 19-26 2011 ILP (Late Breaking Papers) https://doi.org/10.1142/9781783265091_0003 conf/ilp/2011lbp db/conf/ilp/ilp2011lbp.html#VavpeticL11 Mor Peleg Nada Lavrac Carlo Combi Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011. Proceedings 6747 2011 Springer Lecture Notes in Computer Science https://doi.org/10.1007/978-3-642-22218-4 https://www.wikidata.org/entity/Q62613066 978-3-642-22217-7 AIME db/conf/aime/aime2011.html

Dragan Gamberger Nada Lavrac Expert-Guided Subgroup Discovery: Methodology and Application http://arxiv.org/abs/1106.4576 2011 CoRR abs/1106.4576 db/journals/corr/corr1106.html#abs-1106-4576

Borut Sluban Nada Lavrac Supporting the search for cross-context links by outlier detection methods. P2 2010 11 BMC Bioinform. S-5 https://doi.org/10.1186/1471-2105-11-S5-P2 https://www.wikidata.org/entity/Q45947452 db/journals/bmcbi/bmcbi11S.html#SlubanL10

Matjaz Jursic Igor Mozetic Miha Grcar Bojan Cestnik Nada Lavrac Identification of concepts bridging diverse biomedical domains. P4 2010 11 BMC Bioinform. S-5 https://doi.org/10.1186/1471-2105-11-S5-P4 https://www.wikidata.org/entity/Q46039383 db/journals/bmcbi/bmcbi11S.html#JursicMGCL10

Matjaz Jursic Igor Mozetic Tomaz Erjavec Nada Lavrac LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules. 1190-1214 2010 16 J. Univers. Comput. Sci. 9 https://doi.org/10.3217/jucs-016-09-1190 db/journals/jucs/jucs16.html#JursicMEL10

Miha Grcar Vid Podpecan Matjaz Jursic Nada Lavrac Efficient Visualization of Document Streams. 174-188 2010 Discovery Science https://doi.org/10.1007/978-3-642-16184-1_13 conf/dis/2010 db/conf/dis/dis2010.html#GrcarPJL10 Borut Sluban Dragan Gamberger Nada Lavrac Advances in Class Noise Detection. 1105-1106 2010 ECAI https://doi.org/10.3233/978-1-60750-606-5-1105 conf/ecai/2010 db/conf/ecai/ecai2010.html#SlubanGL10 Igor Mozetic Nada Lavrac Vid Podpecan Petra Kralj Novak Helena Motaln Marko Petek Kristina Gruden Hannu Toivonen Kimmo Kulovesi Bisociative Knowledge Discovery for Microarray Data Analysis. 190-199 2010 ICCC https://computationalcreativity.net/iccc2010/papers/mozetic-et-al.pdf conf/icccrea/2010 db/conf/icccrea/icccrea2010.html#MozeticLPNMPGTK10 Vid Podpecan Monika Záková Nada Lavrac Workflow Construction for Service-Oriented Knowledge Discovery. 313-327 2010 ISoLA (1) https://doi.org/10.1007/978-3-642-16558-0_27 conf/isola/2010-1 db/conf/isola/isola2010-1.html#PodpecanZL10 Vid Podpecan Miha Grcar Nada Lavrac Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology. 219-230 2010 PRICAI https://doi.org/10.1007/978-3-642-15246-7_22 conf/pricai/2010 db/conf/pricai/pricai2010.html#PodpecanGL10 Borut Sluban Dragan Gamberger Nada Lavrac Performance Analysis of Class Noise Detection Algorithms. 303-314 2010 STAIRS https://doi.org/10.3233/978-1-60750-676-8-303 conf/stairs/2010 db/conf/stairs/stairs2010.html#SlubanGL10 Nada Lavrac Blaz Zupan Data Mining in Medicine. 1111-1136 2010 Data Mining and Knowledge Discovery Handbook https://doi.org/10.1007/978-0-387-09823-4_58 reference/dmkdh/2010 db/reference/dmkdh/dmkdh2010.html#LavracZ10 Nada Lavrac Miha Grcar Blaz Fortuna Paola Velardi Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming. 135-154 2010 Computational Social Network Analysis https://doi.org/10.1007/978-1-84882-229-0_6 series/ccn/AHS2010 db/series/ccn/AHS2010.html#LavracGFV10 Nada Lavrac Johannes Fürnkranz Dragan Gamberger Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. 121-146 2010 Advances in Machine Learning I https://doi.org/10.1007/978-3-642-05177-7_6 https://www.wikidata.org/entity/Q59195233 series/sci/2010-262 db/series/sci/sci262.html#LavracFG10 Petra Kralj Novak Nada Lavrac Geoffrey I. Webb Supervised Descriptive Rule Induction. 938-941 2010 Encyclopedia of Machine Learning https://doi.org/10.1007/978-0-387-30164-8_802 reference/ml/2010 db/reference/ml/ml2010.html#NovakLW10

Petra Kralj Novak Nada Lavrac Dragan Gamberger Antonija Krstacic CSM-SD: Methodology for contrast set mining through subgroup discovery. 113-122 2009 42 J. Biomed. Informatics 1 https://doi.org/10.1016/j.jbi.2008.08.007 https://www.wikidata.org/entity/Q44397000 db/journals/jbi/jbi42.html#NovakLGK09

Petra Kralj Novak Nada Lavrac Geoffrey I. Webb Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining. 377-403 2009 10 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1577069.1577083 db/journals/jmlr/jmlr10.html#NovakLW09

Filip Zelezný Nada Lavrac Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008). 1-2 2009 76 Mach. Learn. 1 https://doi.org/10.1007/s10994-009-5120-z db/journals/ml/ml76.html#ZeleznyL09

Joël Plisson Nada Lavrac Dunja Mladenic Tomaz Erjavec Ripple Down Rule learning for automated word lemmatisation. 15-26 2008 21 AI Commun. 1 http://content.iospress.com/articles/ai-communications/aic416 db/journals/aicom/aicom21.html#PlissonLME08

Igor Trajkovski Nada Lavrac Jakub Tolar SEGS: Search for enriched gene sets in microarray data. 588-601 2008 41 J. Biomed. Informatics 4 https://doi.org/10.1016/j.jbi.2007.12.001 https://www.wikidata.org/entity/Q33317446 db/journals/jbi/jbi41.html#TrajkovskiLT08

Gemma C. Garriga Petra Kralj Nada Lavrac Closed Sets for Labeled Data. 559-580 2008 9 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1390681.1390700 db/journals/jmlr/jmlr9.html#GarrigaKL08

Igor Trajkovski Filip Zelezný Nada Lavrac Jakub Tolar Learning Relational Descriptions of Differentially Expressed Gene Groups. 16-25 2008 38 IEEE Trans. Syst. Man Cybern. Part C 1 https://doi.org/10.1109/TSMCC.2007.906059 db/journals/tsmc/tsmcc38.html#TrajkovskiZLT08

Jeroen S. de Bruin Joost N. Kok Nada Lavrac Igor Trajkovski On the Design of Knowledge Discovery Services Design Patterns and Their Application in a Use Case Implementation. 649-662 2008 ISoLA https://doi.org/10.1007/978-3-540-88479-8_46 conf/isola/2008 db/conf/isola/isola2008.html#BruinKLT08 Blaz Fortuna Nada Lavrac Paola Velardi Advancing Topic Ontology Learning through Term Extraction. 626-635 2008 PRICAI https://doi.org/10.1007/978-3-540-89197-0_57 conf/pricai/2008 db/conf/pricai/pricai2008.html#FortunaLV08 Dragan Gamberger Nada Lavrac Johannes Fürnkranz Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. 636-645 2008 PRICAI https://doi.org/10.1007/978-3-540-89197-0_58 conf/pricai/2008 db/conf/pricai/pricai2008.html#GambergerLF08 Filip Zelezný Nada Lavrac Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings 5194 2008 978-3-540-85927-7 ILP Lecture Notes in Computer Science Springer https://doi.org/10.1007/978-3-540-85928-4 db/conf/ilp/ilp2008.html

Dragan Gamberger Nada Lavrac Antonija Krstacic Goran Krstacic Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis. 205-217 2007 27 Appl. Intell. 3 https://doi.org/10.1007/s10489-007-0068-9 db/journals/apin/apin27.html#GambergerLKK07

Nada Lavrac Marko Bohanec Aleksander Pur Bojan Cestnik Marko Debeljak Andrej Kobler Data mining and visualization for decision support and modeling of public health-care resources. 438-447 2007 40 J. Biomed. Informatics 4 https://doi.org/10.1016/j.jbi.2006.10.003 https://www.wikidata.org/entity/Q33266006 db/journals/jbi/jbi40.html#LavracBPCDK07

Nada Lavrac Peter Ljubic Tanja Urbani Gregor Papa Mitja Jermol Stefan Bollhalter Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates. 429-439 2007 37 IEEE Trans. Syst. Man Cybern. Part C 3 https://doi.org/10.1109/TSMCC.2006.889531 db/journals/tsmc/tsmcc37.html#LavraLUPJB07

Joël Plisson Peter Ljubic Igor Mozetic Nada Lavrac An Ontology for Virtual Organization Breeding Environments. 1327-1341 2007 37 IEEE Trans. Syst. Man Cybern. Part C 6 https://doi.org/10.1109/TSMCC.2007.905842 db/journals/tsmc/tsmcc37.html#PlissonLML07

Petra Kralj Nada Lavrac Dragan Gamberger Antonija Krstacic Contrast Set Mining for Distinguishing Between Similar Diseases. 109-118 2007 conf/aime/2007 AIME https://doi.org/10.1007/978-3-540-73599-1_12 db/conf/aime/aime2007.html#KraljLGK07 Igor Trajkovski Nada Lavrac Interpreting Gene Expression Data by Searching for Enriched Gene Sets. 144-148 2007 conf/aime/2007 AIME https://doi.org/10.1007/978-3-540-73599-1_16 db/conf/aime/aime2007.html#TrajkovskiL07 Dragan Gamberger Nada Lavrac Supporting Factors in Descriptive Analysis of Brain Ischaemia. 155-159 2007 conf/aime/2007 AIME https://doi.org/10.1007/978-3-540-73599-1_18 db/conf/aime/aime2007.html#GambergerL07 Aleksander Pur Marko Bohanec Nada Lavrac Bojan Cestnik Marko Debeljak Anton Gradisek Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization. 175-179 2007 conf/aime/2007 AIME https://doi.org/10.1007/978-3-540-73599-1_22 db/conf/aime/aime2007.html#PurBLCDG07 Damjan Demsar Igor Mozetic Nada Lavrac Collaboration Opportunity Finder. 179-186 2007 conf/ifip5-5/2007 Virtual Enterprises and Collaborative Networks https://doi.org/10.1007/978-0-387-73798-0_18 db/conf/ifip5-5/ifip5-5-2007.html#DemsarML07 Igor Trajkovski Nada Lavrac Efficient Generation of Biologically Relevant Enriched Gene Sets. 248-259 2007 conf/isbra/2007 ISBRA https://doi.org/10.1007/978-3-540-72031-7_23 db/conf/isbra/isbra2007.html#TrajkovskiL07 Petra Kralj Nada Lavrac Dragan Gamberger Antonija Krstacic Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. 579-586 2007 conf/pakdd/2007 PAKDD https://doi.org/10.1007/978-3-540-71701-0_61 db/conf/pakdd/pakdd2007.html#KraljLGK07 Michael R. Berthold John Shawe-Taylor Nada Lavrac Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings IDA Lecture Notes in Computer Science 4723 Springer 2007 978-3-540-74824-3 https://doi.org/10.1007/978-3-540-74825-0 db/conf/ida/ida2007.html

Branko Kavsek Nada Lavrac APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery. 543-583 2006 20 Appl. Artif. Intell. 7 https://doi.org/10.1080/08839510600779688 https://www.wikidata.org/entity/Q58271064 db/journals/aai/aai20.html#KavsekL06

Filip Zelezný Nada Lavrac Propositionalization-based relational subgroup discovery with RSD. 33-63 2006 62 Mach. Learn. 1-2 https://doi.org/10.1007/s10994-006-5834-0 db/journals/ml/ml62.html#ZeleznyL06

Igor Trajkovski Filip Zelezný Jakub Tolar Nada Lavrac Relational Subgroup Discovery for Descriptive Analysis of Microarray Data. 86-96 2006 conf/complife/2006 CompLife https://doi.org/10.1007/11875741_9 db/conf/complife/complife2006.html#TrajkovskiZTL06 Tanja Urbancic Olga Stepánková Nada Lavrac Enhancing Human Choice by Information Technologies. 255-264 2006 HCC https://doi.org/10.1007/978-0-387-37876-3_21 conf/hcc/2006 db/conf/hcc/hcc2006.html#UrbancicSL06 Monika Záková Filip Zelezný Javier A. García-Sedano Cyril Masia Tissot Nada Lavrac Petr Kremen Javier Molina Relational Data Mining Applied to Virtual Engineering of Product Designs. 439-453 2006 conf/ilp/2006 ILP https://doi.org/10.1007/978-3-540-73847-3_39 db/conf/ilp/ilp2006.html#ZakovaZGTLKM06 Gemma C. Garriga Petra Kralj Nada Lavrac Closed Sets for Labeled Data. 163-174 2006 conf/pkdd/2006 PKDD https://doi.org/10.1007/11871637_19 db/conf/pkdd/pkdd2006.html#GarrigaKL06 Igor Trajkovski Filip Zelezný Nada Lavrac Jakub Tolar Relational Descriptive Analysis of Gene Expression Data. 184-195 2006 STAIRS conf/stairs/2006 db/conf/stairs/stairs2006.html#TrajkovskiZLT06 http://www.booksonline.iospress.nl/Content/View.aspx?piid=1880 Ljupco Todorovski Nada Lavrac Klaus P. Jantke Discovery Science, 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings Lecture Notes in Computer Science 4265 Springer 2006 3-540-46491-3 Discovery Science https://doi.org/10.1007/11893318 db/conf/dis/dis2006.html Nada Lavrac Marko Bohanec Aleksander Pur Bojan Cestnik Mitja Jermol Tanja Urbancic Marko Debeljak Branko Kavsek Tadeja Kopac Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies. 414-418 2005 conf/aime/2005 AIME https://doi.org/10.1007/11527770_55 db/conf/aime/aime2005.html#LavracBPCJUDKK05 Nada Lavrac SolEuNet: Selected Data Mining Techniques and Applications. 32-39 2005 GfKl https://doi.org/10.1007/3-540-31314-1_4 conf/gfkl/2005 db/conf/gfkl/gfkl2005.html#Lavrac05 Aleksander Pur Marko Bohanec Bojan Cestnik Nada Lavrac Marko Debeljak Tadeja Kopac Data Mining for Decision Support: An Application in Public Health Care. 459-469 2005 conf/ieaaie/2005 IEA/AIE https://doi.org/10.1007/11504894_64 db/conf/ieaaie/ieaaie2005.html#PurBCLDK05 Nada Lavrac Peter Ljubic Mitja Jermol Gregor Papa A Decision Support Approach to Modeling Trust in Networked Organizations. 746-748 2005 conf/ieaaie/2005 IEA/AIE https://doi.org/10.1007/11504894_103 db/conf/ieaaie/ieaaie2005.html#LavracLJP05 Toni Jarimo Peter Ljubic Iiro Salkari Marko Bohanec Nada Lavrac Martin Znidarsic Stefan Bollhalter Jirí Hodík Hierarchical Multi-Attribute Decision Support Approach to Virtual Organization Creation. 135-142 2005 PRO-VE https://doi.org/10.1007/0-387-29360-4_14 conf/ifip5-5/2005 db/conf/ifip5-5/prove2005.html#JarimoLSBLZBH05 Nada Lavrac Peter Ljubic Mitja Jermol Stefan Bollhalter A Decision Support Approach to Trust Modeling in Networked Organizations. 167-174 2005 PRO-VE https://doi.org/10.1007/0-387-29360-4_17 conf/ifip5-5/2005 db/conf/ifip5-5/prove2005.html#LavracLJB05 Nada Lavrac Subgroup Discovery Techniques and Applications. 2-14 2005 conf/pakdd/2005 PAKDD https://doi.org/10.1007/11430919_2 db/conf/pakdd/pakdd2005.html#Lavrac05 Nada Lavrac Blaz Zupan Data Mining in Medicine. 1107-1138 2005 books/sp/DM2005 The Data Mining and Knowledge Discovery Handbook db/books/collections/datamining2005.html#LavracZ05

Dragan Gamberger Nada Lavrac Filip Zelezný Jakub Tolar Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. 269-284 2004 37 J. Biomed. Informatics 4 https://doi.org/10.1016/j.jbi.2004.07.007 https://www.wikidata.org/entity/Q45966629 db/journals/jbi/jbi37.html#GambergerLZT04

Nada Lavrac Branko Kavsek Peter A. Flach Ljupco Todorovski Subgroup Discovery with CN2-SD. 153-188 2004 5 J. Mach. Learn. Res. https://jmlr.org/papers/volume5/lavrac04a/lavrac04a.pdf db/journals/jmlr/jmlr5.html#LavracKFT04

Nada Lavrac Hiroshi Motoda Tom Fawcett Editorial: Data Mining Lessons Learned. 5-11 2004 57 Mach. Learn. 1-2 https://doi.org/10.1023/B:MACH.0000035515.33403.6b db/journals/ml/ml57.html#LavracMF04

Nada Lavrac Hiroshi Motoda Tom Fawcett Robert Holte Pat Langley Pieter W. Adriaans Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. 13-34 2004 57 Mach. Learn. 1-2 https://doi.org/10.1023/B:MACH.0000035516.74817.51 db/journals/ml/ml57.html#LavracMFHLA04

Nada Lavrac Bojan Cestnik Dragan Gamberger Peter A. Flach Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned. 115-143 2004 57 Mach. Learn. 1-2 https://doi.org/10.1023/B:MACH.0000035474.48771.cd https://www.wikidata.org/entity/Q58642793 db/journals/ml/ml57.html#LavracCGF04

Nada Lavrac Dragan Gamberger Relevancy in Constraint-Based Subgroup Discovery. 243-266 2004 conf/cinq/2004hz Constraint-Based Mining and Inductive Databases https://doi.org/10.1007/11615576_12 db/conf/cinq/hz2004.html#LavracG04 Nada Lavrac Filip Zelezný Saso Dzeroski Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. 71-88 2004 conf/dagstuhl/2004lpd Local Pattern Detection https://doi.org/10.1007/11504245_5 db/conf/dagstuhl/lpd2004.html#LavracZD04 Dragan Gamberger Nada Lavrac Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics. 470-474 2004 conf/ecai/2004 ECAI db/conf/ecai/ecai2004.html#GambergerL04 Mitja Jermol Nada Lavrac Tanja Urbancic Tadeja Kopac Supporting a Public Health Care Virtual Organization by Knowledge Technologies. 567-576 2004 conf/ifip5-5/2004 Virtual Enterprises and Collaborative Networks db/conf/ifip5-5/ifip5-5-2004.html#JermolLUK04 https://doi.org/10.1007/1-4020-8139-1_60 Branko Kavsek Nada Lavrac Ljupco Todorovski ROC Analysis of Example Weighting in Subgroup Discovery. 55-60 2004 conf/rocai/2004 ROCAI db/conf/rocai/rocai2004.html#KavsekLT04

Dragan Gamberger Nada Lavrac Active subgroup mining: a case study in coronary heart disease risk group detection. 27-57 2003 28 Artif. Intell. Medicine 1 https://doi.org/10.1016/S0933-3657(03)00034-4 https://www.wikidata.org/entity/Q47773826 db/journals/artmed/artmed28.html#GambergerL03

Mitja Jermol Nada Lavrac Tanja Urbancic Managing business intelligence in a virtual enterprise: A case study and knowledge management lessons learned. 121-136 2003 14 J. Intell. Fuzzy Syst. 3 http://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs00210 db/journals/jifs/jifs14.html#JermolLU03

Dragan Gamberger Nada Lavrac Analysis of Gene Expression Data by the Logic Minimization Approach. 244-248 https://doi.org/10.1007/978-3-540-39907-0_34 2003 conf/aime/2003 AIME db/conf/aime/aime2003.html#GambergerL03 Branko Kavsek Nada Lavrac Viktor Jovanoski APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery. 230-241 https://doi.org/10.1007/978-3-540-45231-7_22 2003 conf/ida/2003 IDA db/conf/ida/ida2003.html#KavsekLJ03 Mark-A. Krogel Simon Alan Rawles Filip Zelezný Peter A. Flach Nada Lavrac Stefan Wrobel Comparative Evaluation of Approaches to Propositionalization. 197-214 https://doi.org/10.1007/978-3-540-39917-9_14 2003 conf/ilp/2003 ILP db/conf/ilp/ilp2003.html#KrogelRZFLW03 Nada Lavrac Dragan Gamberger Ljupco Todorovski Hendrik Blockeel Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings ECML Lecture Notes in Computer Science 2837 Springer 2003 3-540-20121-1 https://doi.org/10.1007/b13633 db/conf/ecml/ecml2003.html Nada Lavrac Dragan Gamberger Hendrik Blockeel Ljupco Todorovski 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 Lecture Notes in Computer Science 2838 Springer 2003 3-540-20085-1 https://doi.org/10.1007/b13634 db/conf/pkdd/pkdd2003.html

Dragan Gamberger Nada Lavrac Expert-Guided Subgroup Discovery: Methodology and Application. 501-527 2002 17 J. Artif. Intell. Res. https://doi.org/10.1613/jair.1089 https://www.wikidata.org/entity/Q129531834 db/journals/jair/jair17.html#GambergerL02

Dragan Gamberger Nada Lavrac Goran Krstacic Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery. 35-48 2002 12 J. Intell. Fuzzy Syst. 1 http://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs00165 db/journals/jifs/jifs12.html#GambergerLK02

Peter A. Flach Nada Lavrac Learning in Clausal Logic: A Perspective on Inductive Logic Programming. 437-471 2002 conf/birthday/2002kowalski1 Computational Logic: Logic Programming and Beyond https://doi.org/10.1007/3-540-45628-7_17 db/conf/birthday/kowalski2002-1.html#FlachL02 Nada Lavrac Peter A. Flach Branko Kavsek Ljupco Todorovski Adapting classification rule induction to subgroup discovery. 266-273 2002 conf/icdm/2002 ICDM https://doi.org/10.1109/ICDM.2002.1183912 https://doi.ieeecomputersociety.org/10.1109/ICDM.2002.1183912 db/conf/icdm/icdm2002.html#LavracFKT02 Dragan Gamberger Nada Lavrac Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. 163-170 2002 conf/icml/2002 ICML db/conf/icml/icml2002.html#GambergerL02 Nada Lavrac Virtual Enterprise for Data Mining and Decision Support. 2002 conf/ifip5-5/2002 PRO-VE db/conf/ifip5-5/ifip5-5-2002.html#Lavrac02 Nada Lavrac Filip Zelezný Peter A. Flach RSD: Relational Subgroup Discovery through First-Order Feature Construction. 149-165 2002 conf/ilp/2002 ILP https://doi.org/10.1007/3-540-36468-4_10 db/conf/ilp/ilp2002.html#LavracZF02 Dragan Gamberger Nada Lavrac Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. 163-174 2002 conf/pkdd/2002 PKDD https://doi.org/10.1007/3-540-45681-3_14 db/conf/pkdd/pkdd2002.html#GambergerL02

Elpida T. Keravnou Nada Lavrac AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium. 1-4 2001 23 Artif. Intell. Medicine 1 db/journals/artmed/artmed23.html#KeravnouL01 https://doi.org/10.1016/S0933-3657(01)00071-9 https://www.wikidata.org/entity/Q62493950

Nada Lavrac Peter A. Flach An extended transformation approach to inductive logic programming. 458-494 2001 2 ACM Trans. Comput. Log. 4 https://doi.org/10.1145/383779.383781 https://www.wikidata.org/entity/Q58642833 db/journals/tocl/tocl2.html#LavracF01

Branko Kavsek Nada Lavrac Anuska Ferligoj Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction. 251-262 2001 conf/ecml/2001 ECML https://doi.org/10.1007/3-540-44795-4_22 db/conf/ecml/ecml2001.html#KavsekLF01 Viktor Jovanoski Nada Lavrac Classification Rule Learning with APRIORI-C. 44-51 https://doi.org/10.1007/3-540-45329-6_8 2001 conf/epia/2001 EPIA db/conf/epia/epia2001.html#JovanoskiL01

Dragan Gamberger Nada Lavrac Saso Dzeroski Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. 205-223 2000 14 Appl. Artif. Intell. 2 db/journals/aai/aai14.html#GambergerLD00 https://doi.org/10.1080/088395100117124 https://www.wikidata.org/entity/Q58267976

Dragan Gamberger Nada Lavrac Goran Krstacic Tomislav Smuc Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. 183-189 https://doi.org/10.1007/3-540-39949-6_22 2000 conf/ismda/2000 ISMDA db/conf/ismda/ismda2000.html#GambergerLKS00 Dragan Gamberger Nada Lavrac Confirmation Rule Sets. 34-43 https://doi.org/10.1007/3-540-45372-5_4 2000 conf/pkdd/2000 PKDD db/conf/pkdd/pkdd2000.html#GambergerL00 Ljupco Todorovski Peter A. Flach Nada Lavrac Predictive Performance of Weghted Relative Accuracy. 255-264 https://doi.org/10.1007/3-540-45372-5_25 2000 conf/pkdd/2000 PKDD db/conf/pkdd/pkdd2000.html#TodorovskiFL00

Nada Lavrac Selected techniques for data mining in medicine. 3-23 1999 16 Artif. Intell. Medicine 1 db/journals/artmed/artmed16.html#Lavrac99 https://doi.org/10.1016/S0933-3657(98)00062-1 https://www.wikidata.org/entity/Q30573917

Saso Dzeroski Nada Lavrac Editorial. 5-6 1999 3 Data Min. Knowl. Discov. 1 db/journals/datamine/datamine3.html#DzeroskiL99 https://doi.org/10.1023/A:1009891420736

Nada Lavrac Dragan Gamberger Viktor Jovanoski A Study of Relevance for Learning in Deductive Databases. 215-249 1999 40 J. Log. Program. 2-3 db/journals/jlp/jlp40.html#LavracGJ99 https://doi.org/10.1016/S0743-1066(99)00019-9

Nada Lavrac Saso Dzeroski Masayuki Numao Inductive Logic Programming for Relational Knowledge Discovery. 3-23 1999 17 New Gener. Comput. 1 db/journals/ngc/ngc17.html#LavracDN99 https://doi.org/10.1007/BF03037580

Nada Lavrac Machine Learning for Data Mining in Medicine. 47-64 1999 conf/aimdm/1999 AIMDM https://doi.org/10.1007/3-540-48720-4_4 db/conf/aimdm/aimdm1999.html#Lavrac99 Dragan Gamberger Nada Lavrac Ciril Groselj Diagnostic Rules of Increased Reliability for Critical Medical Applications. 361-365 1999 conf/aimdm/1999 AIMDM https://doi.org/10.1007/3-540-48720-4_39 db/conf/aimdm/aimdm1999.html#GambergerLG99 Nada Lavrac Challenges for Inductive Logic Programming. 16-33 1999 conf/epia/1999 EPIA db/conf/epia/epia99.html#Lavrac99 https://doi.org/10.1007/3-540-48159-1_2 Dragan Gamberger Nada Lavrac Ciril Groselj Experiments with Noise Filtering in a Medical Domain. 143-151 1999 conf/icml/1999 ICML db/conf/icml/icml1999.html#GambergerLG99 Nada Lavrac Peter A. Flach Blaz Zupan Rule Evaluation Measures: A Unifying View. 174-185 https://doi.org/10.1007/3-540-48751-4_17 1999 conf/ilp/1999 ILP db/conf/ilp/ilp99.html#LavracFZ99

Nada Lavrac Blaz Zupan Igor Kononenko 0001 Matjaz Kukar Elpida T. Keravnou Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. 191-218 1998 11 AI Commun. 3-4 db/journals/aicom/aicom11.html#LavracZKKK98 http://content.iospress.com/articles/ai-communications/aic159

Nada Lavrac Dragan Gamberger Peter D. Turney A Relevancy Filter for Constructive Induction. 50-56 1998 13 IEEE Intell. Syst. 2 db/journals/expert/expert13.html#LavracGT98 https://doi.org/10.1109/5254.671092 http://doi.ieeecomputersociety.org/10.1109/5254.671092

Nada Lavrac Inductive Logic Programming for Relational Knowledge Discovery. 7-24 1998 conf/iclp/1998 IJCSLP db/conf/iclp/iclp98.html#Lavrac98

Darko Zupanic Milan Hodoscek Nada Lavrac Igor Mozetic Global Energy Minimization of Small Molecules Combining Constraint Logic Programming and Molecular Mechanics. 966-970 1997 37 J. Chem. Inf. Comput. Sci. 6 https://doi.org/10.1021/ci9601527 db/journals/jcisd/jcisd37.html#ZupanicHLM97

Igor Zelic Igor Kononenko 0001 Nada Lavrac Vanja Vuga Machine Learning Applied to Diagnosis of Sport Injuries. 138-141 1997 conf/aime/1997 AIME db/conf/aime/aime1997.html#ZelicKLV97 https://doi.org/10.1007/BFb0029446 Igor Zelic Igor Kononenko 0001 Nada Lavrac Vanja Vuga Diagnosis of sport injuries with machine learning: explanation of induced decisions. 195-199 1997 conf/cbms/1997 CBMS https://doi.org/10.1109/CBMS.1997.596433 https://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596433 db/conf/cbms/cbms1997.html#ZelicKLV97 Iztok A. Pilih Dunja Mladenic Nada Lavrac Tine S. Prevec Using machine learning for outcome prediction of patients with severe head injury. 200-204 1997 conf/cbms/1997 CBMS https://doi.org/10.1109/CBMS.1997.596434 https://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596434 db/conf/cbms/cbms1997.html#PilihMLP97 Dragan Gamberger Nada Lavrac Conditions for Occam's Razor Applicability and Noise Elimination. 108-123 1997 conf/ecml/1997 ECML db/conf/ecml/ecml97.html#GambergerL97 https://doi.org/10.1007/3-540-62858-4_76 Nada Lavrac Saso Dzeroski Inductive Logic Programming, 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings ILP Lecture Notes in Computer Science 1297 Springer 1997 3-540-63514-9 https://doi.org/10.1007/3-540-63514-9 db/conf/ilp/ilp97.html

Nada Lavrac Irene Weber Darko Zupanic Dimitar Kazakov Olga Stepánková Saso Dzeroski ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography. 157-206 1996 9 AI Commun. 4 db/journals/aicom/aicom9.html#LavracWZKSD96 https://doi.org/10.3233/AIC-1996-9401

Luc De Raedt Nada Lavrac Multiple Predicate Learning in Two Inductive Logic Programming Settings. 227-254 1996 4 Log. J. IGPL 2 https://doi.org/10.1093/jigpal/4.2.227 db/journals/igpl/igpl4.html#RaedtL96

Nada Lavrac Stefan Wrobel Induktive Logikprogrammierung - Grundlagen und Techniken. 46-54 1996 10 Künstliche Intell. 3 db/journals/ki/ki10.html#LavracW96

Nada Lavrac Saso Dzeroski A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications". 109-111 1996 23 Mach. Learn. 1 db/journals/ml/ml23.html#LavracD96 https://doi.org/10.1007/BF00116902

Nada Lavrac Dragan Gamberger Peter D. Turney Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. 127-134 1996 conf/alt/1996 ALT db/conf/alt/alt1996.html#LavracGT96 https://doi.org/10.1007/3-540-61863-5_40 Dragan Gamberger Nada Lavrac Saso Dzeroski Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. 199-212 1996 conf/alt/1996 ALT db/conf/alt/alt1996.html#GambergerLD96 https://doi.org/10.1007/3-540-61863-5_47 Dragan Gamberger Nada Lavrac Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame. 72-88 1996 conf/ilp/1996 Inductive Logic Programming Workshop db/conf/ilp/ilp96.html#GambergerL96 https://doi.org/10.1007/3-540-63494-0_49

Nada Lavrac Luc De Raedt Inductive Logic Programming: A Survey of European Research. 3-19 1995 8 AI Commun. 1 db/journals/aicom/aicom8.html#LavracR95 https://doi.org/10.3233/AIC-1995-8101

Nada Lavrac Stefan Wrobel Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings ECML Lecture Notes in Computer Science 912 Springer 1995 3-540-59286-5 https://doi.org/10.1007/3-540-59286-5 db/conf/ecml/ecml95.html Nada Lavrac Saso Dzeroski Inductive logic programming - techniques and applications. I-XIX, 1-293 Ellis Horwood 1994 Ellis Horwood series in artificial intelligence 978-0-13-457870-5

Nada Lavrac Saso Dzeroski Weakening the language bias in LINUS. 95-119 1994 6 J. Exp. Theor. Artif. Intell. 1 https://doi.org/10.1080/09528139408953783 db/journals/jetai/jetai6.html#LavracD94

Nada Lavrac Inductive Logic Programming. 146-160 1994 conf/wlp/1994 WLP db/conf/wlp/wlp94.html#Lavrac94

Nada Lavrac Saso Dzeroski Vladimir Pirnat Viljem Krizman The utility of background knowledge in learning medical diagnostic rules. 273-293 1993 7 Appl. Artif. Intell. 3 db/journals/aai/aai7.html#LavracDPK93 https://doi.org/10.1080/08839519308949989

Saso Dzeroski Nada Lavrac Inductive Learning in Deductive Databases. 939-949 TKDE5/P0939.pdf 1993 5 IEEE Trans. Knowl. Data Eng. 6 db/journals/tkde/tkde5.html#DzeroskiL93 https://doi.org/10.1109/69.250076 http://doi.ieeecomputersociety.org/10.1109/69.250076 ... ... conf/ecml/CestnikKB87 conf/ecml/ClarkB91 journals/ml/ClarkN89 ... ... conf/icml/DzeroskiL91 ... journals/aim/FrawleyPM92 ... ... conf/aii/LavracD92 ... ... conf/ecml/LavracDG91 ... ... books/sp/Lloyd87 conf/aaai/MichalskiMHL86 ... ... conf/ecml/Mozetic87 ... conf/icml/MuggletonB88 conf/alt/MuggletonF90 ... ... journals/ml/PazzaniK92 journals/ml/Quinlan86 journals/ijmms/Quinlan87 journals/ml/Quinlan90 ... ... books/cs/Ullman88

Luc De Raedt Nada Lavrac Saso Dzeroski Multiple Predicate Learning. 1037-1043 1993 conf/ijcai/1993 IJCAI db/conf/ijcai/ijcai93.html#RaedtLD93 Luc De Raedt Nada Lavrac The Many Faces of Inductive Logic Programming. 435-449 1993 conf/ismis/1993 ISMIS db/conf/ismis/ismis93.html#RaedtL93 https://doi.org/10.1007/3-540-56804-2_41 Nada Lavrac Saso Dzeroski Background Knowledge and Declarative Bias in Inductive Concept Learning. 51-71 1992 conf/aii/1992 AII db/conf/aii/aii92.html#LavracD92 https://doi.org/10.1007/3-540-56004-1_4 Matevz Kovacic Nada Lavrac Marko Grobelnik Darko Zupanic Dunja Mladenic Stochastic Search in Inductive Logic Programming. 444-445 1992 conf/ecai/1992 ECAI db/conf/ecai/ecai92.html#KovacicLGZM92 Nada Lavrac Saso Dzeroski Marko Grobelnik Learning Nonrecursive Definitions of Relations with LINUS. 265-281 1991 conf/ecml/1991 EWSL db/conf/ecml/ewsl91.html#LavracDG91 https://doi.org/10.1007/BFb0017020 Saso Dzeroski Nada Lavrac Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL. 399-402 1991 conf/icml/1991 ML db/conf/icml/ml1991.html#DzeroskiL91 https://doi.org/10.1016/b978-1-55860-200-7.50082-9 Nada Lavrac Saso Dzeroski Vladimir Pirnat Viljem Krizman Learning Rules for Early Diagnosis of Rheumatic Diseases. 138-149 1991 conf/scai/1991 SCAI db/conf/scai/scai1991.html#LavracDPK91 Ivan Bratko Igor Mozetic Nada Lavrac KARDIO - a study in deep and qualitative knowledge for expert systems. I-XIV, 1-260 MIT Press 1989 978-0-262-02273-6

Nada Lavrac Igor Mozetic Methods for knowledge acquisition and refinement in second generation expert systems. 63-69 1989 108 SIGART Newsl. https://doi.org/10.1145/63266.63274 db/journals/sigart/sigartn108.html#LavracM89

Matjaz Gams Nada Lavrac Review of Five Empirical Learning Systems Within a Proposed Schemata. 46-66 1987 conf/ecml/1987 EWSL db/conf/ecml/ewsl87.html#GamsL87 Ivan Bratko Nada Lavrac Progress in Machine Learning - Proceedings of EWSL 87: 2nd European Working Session on Learning, Bled, Yugoslavia, May 1987 EWSL Sigma Press, Wilmslow 1987 1-85058-088-X db/conf/ecml/ewsl87.html Ryszard S. Michalski Igor Mozetic Jiarong Hong Nada Lavrac The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. 1041-1047 1986 conf/aaai/1986-2 AAAI db/conf/aaai/aaai86-2.html#MichalskiMHL86 http://www.aaai.org/Library/AAAI/1986/aaai86-171.php Igor Mozetic Ivan Bratko Nada Lavrac An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling. 553-559 1983 Logic Programming Workshop conf/iclp/1983w http://www.softwarepreservation.org/projects/prolog/lisbon/lpw83/p553-Mozetic.pdf db/conf/iclp/lpw1983.html#MozeticBL83 Prem Raj Adhikari Pieter W. Adriaans Darko Aleksovski Ana Alves 0001Ana Oliveira Alves Luka Andrensek Martin Atzmüller Stuart Adam Battersby Michael R. Berthold Matej Bevec Przemyslaw Biecek Hendrik Blockeel Szymon Bobek Michele Boggia Marko Bohanec Stefan Bollhalter Emanuela Boros Ivan Bratko Jeroen S. de Bruin Pierangela Bruno Peter Butala Luis Adrián Cabrera-Diego Francesco Calimeri Amílcar Cardoso Francesco Cauteruccio Bojan Cestnik John William Charnley Neo Christopher Chung Stephen Clark Roel Coesemans Simon Colton Carlo Combi Michael Cook 0001 João Correia 0001 António Cruz Marko Debeljak Damjan Demsar Matjaz Depolli Alberto Díaz 0001 Roland van Dierendonck Vania Dimitrova Antoine Doucet Michel Dumontier Saso Dzeroski Tomaz Erjavec Nika Erzen Elsa Fabbretti Tom Fawcett Anuska Ferligoj Peter A. Flach Jamie Forth Blaz Fortuna Virginia Francisco Linda Freienthal Johannes Fürnkranz Dragan Gamberger Matjaz Gams Javier A. García-Sedano Gemma C. Garriga Dimitrios A. GatsiosDimitris Gatsios Pablo Gervás João Gonçalves Jeremy Gow Anton Gradisek Mark Granroth-Wilding Miha Grcar Marko Grobelnik Ciril Groselj Oskar Gross Kristina Gruden Donatella Gubiani Rose Hepworth Raquel Hervás Jirí Hodík Milan Hodoscek Jaakko Hollmén Robert C. HolteRobert Holte Andreas Holzinger Jiarong Hong Nikola Ivacic Klaus P. Jantke Toni Jarimo Joanna Jaworek-Korjakowska Mitja Jermol Viktor Jovanoski Marko Jukic Matjaz Jursic Andrej Kastrin Branko Kavsek Gülgün Kayakutlu Dimitar Kazakov Elpida T. Keravnou Tomás Kliegr Andrej Kobler Michael Kohlhase Joost N. Kok Enja Kokalj Boshko Koloski Janez Konc Spiros Konitsiotis Igor Kononenko 0001 Tadeja Kopac Matevz Kovacic Dominik Kozjek Jan Kralj Janez Kranjc Petr Kremen Viljem Krizman Mark-A. Krogel Antonija Krstacic Goran Krstacic Ivar Krustok Matjaz Kukar Kimmo Kulovesi Tanja Kunej Pat Langley Laura Langohr Jochen L. Leidner Mirjana Babic Leko Carlos León 0002 Leo Leppänen Borut Lesjak Carl-Gustav Linden Simo Linkola Peter Ljubic Maria Teresa Llano Penousal Machado Bernd Malle Matej Martinc Pedro Martins 0003 Martin Marzidovsek Karl Mason Stijn Meganck Gonzalo Méndez 0001 Eunika Mercier-Laurent Sebastian Meznar Ryszard S. Michalski Matej Mihelcic Biljana Mileva-Boshkoska Dragana Miljkovic Alexis Mitelpunkt Dunja Mladenic Javier Molina José G. Moreno 0001 Dany Morisset Helena Motaln Hiroshi Motoda Igor Mozetic Martin nidaric Alexandros Nikitas Petra Kralj NovakPetra Kralj Slawomir Nowaczyk Masayuki Numao Hugo Gonçalo Oliveira Roman Orac Mieczyslaw L. OwocMieczyslaw Lech Owoc Tarmo Paju Gregor Papa Simon Parkinson Marieke Peeters Mor Peleg Andraz Pelicon Timen Stepisnik Perdih Matic Perovsek Marko Petek Matej Petkovic Ingrid Petric Iztok A. Pilih Alexandre Miguel Pinto Sergej Pirkmajer Vladimir Pirnat Joël Plisson Vid Podpecan Senja Pollak Marusa Pompe-Novak Marko Pranjic Tine S. Prevec Aleksander Pur Matthew Purver Luc De Raedt Ziva Ramsak Simon Alan Rawles Andraz Repar Borut Rihtarsic Saskia Robben Marko Robnik-Sikonja Iiro Salkari Salla Salmela Ute Schmid Netta Shachar Rahul Sharma 0008 John Shawe-Taylor Shane Sheehan Ravi Shekhar Goran Simic Blaz Skrlj Pawel Skruch Tadej Skvorc Borut Sluban Jasmina Smailovic Tomislav Smuc Larisa N. Soldatova Tjasa Stare Olga Stepánková Giorgio Terracina Cyril Masia Tissot Ljupco Todorovski Hannu Toivonen Jakub Tolar Silver Traat Igor Trajkovski Nejc Trdin Peter D. Turney Matej Ulcar Tanja Urbancic Tanja Urbani Mauro Vallati Anita Valmarska Anze Vavpetic Paola Velardi Frank van der Velde Dan Ventura Spela Vintar Rok Vrabic Vanja Vuga Abdul Wahid Geoffrey I. Webb Irene Weber Geraint A. Wiggins Diedrich Wolter Stefan Wrobel Ping Xiao Monika Záková Jana Zel Filip Zelezný Igor Zelic Monika Zemenova Bernard Zenko Martin Znidarsic Elaine Zosa Blaz Zupan Darko Zupanic