Nada Lavrac

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 94

Top Venues

CoRR

ICCC

J. Intell. Inf. Syst.

Mach. Learn.

Publications

Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin
AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. IDA (1) (2024)
Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak
Inducing Document Representations from Graphs: A Blueprint. Tiny Papers @ ICLR (2023)
Boshko Koloski, Blaz Skrlj, Senja Pollak, Nada Lavrac
Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data. CoRR (2023)
Jan Kralj, Blaz Skrlj, Ziva Ramsak, Nada Lavrac, Kristina Gruden
DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks. CoRR (2023)
Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin
AHAM: Adapt, Help, Ask, Model - Harvesting LLMs for literature mining. CoRR (2023)
Blaz Skrlj, Matej Bevec, Nada Lavrac
Multimodal AutoML via Representation Evolution. Mach. Learn. Knowl. Extr. 5 (1) (2023)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. Mach. Learn. 111 (1) (2022)
Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac
Deep node ranking for neuro-symbolic structural node embedding and classification. Int. J. Intell. Syst. 37 (1) (2022)
Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja
NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering. IEEE Access 10 (2022)
Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj
Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation. Mach. Learn. Knowl. Extr. 4 (4) (2022)
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, Jose G. Moreno, Antoine Doucet, Hannu Toivonen
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. EACL (Hackashop) (2021)
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. Bioinform. 37 (6) (2021)
Sebastian Meznar, Nada Lavrac, Blaz Skrlj
Transfer Learning for Node Regression Applied to Spreading Prediction. Complex Syst. 30 (4) (2021)
Sebastian Meznar, Nada Lavrac, Blaz Skrlj
Transfer Learning for Node Regression Applied to Spreading Prediction. CoRR (2021)
Blaz Skrlj, Matej Martinc, Nada Lavrac, Senja Pollak
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification. Mach. Learn. 110 (5) (2021)
Blaz Skrlj, Enja Kokalj, Nada Lavrac
PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks. Frontiers Res. Metrics Anal. 6 (2021)
Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac
Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning. DS (2021)
Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja
BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. EACL (Hackashop) (2021)
Senja Pollak, Vid Podpecan, Janez Kranjc, Borut Lesjak, Nada Lavrac
Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods. ICCC (2021)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. CoRR (2021)
Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja
Stratification of Parkinson's Disease Patients via Multi-view Clustering. AIME (2021)
Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj
Link Analysis meets Ontologies: Are Embeddings the Answer? CoRR (2021)
Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. Comput. Speech Lang. 65 (2021)
Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac
Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning. CoRR (2021)
Timen Stepisnik Perdih, Nada Lavrac, Blaz Skrlj
Semantic Reasoning from Model-Agnostic Explanations. CoRR (2021)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
Feature Importance Estimation with Self-Attention Networks. ECAI (2020)
Blaz Skrlj, Jan Kralj, Nada Lavrac
Embedding-based Silhouette community detection. Mach. Learn. 109 (11) (2020)
Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja
Propositionalization and embeddings: two sides of the same coin. Mach. Learn. 109 (7) (2020)
Nada Lavrac, Matej Martinc, Senja Pollak, Marusa Pompe-Novak, Bojan Cestnik
Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach. New Gener. Comput. 38 (4) (2020)
Sebastian Meznar, Nada Lavrac, Blaz Skrlj
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. IEEE Access 8 (2020)
Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining. DS (2020)
Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja
Propositionalization and Embeddings: Two Sides of the Same Coin. CoRR (2020)
Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak
COVID-19 therapy target discovery with context-aware literature mining. CoRR (2020)
Sebastian Meznar, Nada Lavrac, Blaz Skrlj
Prediction of the Effects of Epidemic Spreading with Graph Neural Networks. COMPLEX NETWORKS (1) (2020)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
Feature Importance Estimation with Self-Attention Networks. CoRR (2020)
Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. AIME (2020)
Nada Lavrac, Matej Martinc, Senja Pollak, Bojan Cestnik
Bisociative Literature-Based Discovery: Lessons Learned and New Prospects. ICCC (2020)
Dominik Kozjek, Rok Vrabic, Borut Rihtarsic, Nada Lavrac, Peter Butala
Advancing manufacturing systems with big-data analytics: A conceptual framework. Int. J. Comput. Integr. Manuf. 33 (2) (2020)
Sebastian Meznar, Nada Lavrac, Blaz Skrlj
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. CoRR (2020)
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
Conceptual Representations for Computational Concept Creation. ACM Comput. Surv. 52 (1) (2019)
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. CoRR (2019)
Blaz Skrlj, Jan Kralj, Nada Lavrac
Embedding-based Silhouette Community Detection. CoRR (2019)
Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. AIME (2019)
Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
NetSDM: Semantic Data Mining with Network Analysis. J. Mach. Learn. Res. 20 (2019)
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
Computational creativity infrastructure for online software composition: A conceptual blending use case. IBM J. Res. Dev. 63 (1) (2019)
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. Mach. Learn. Knowl. Extr. 1 (1) (2019)
Vid Podpecan, Ziva Ramsak, Kristina Gruden, Hannu Toivonen, Nada Lavrac
Interactive exploration of heterogeneous biological networks with Biomine Explorer. Bioinform. 35 (24) (2019)
Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. CoRR (2019)
Blaz Skrlj, Jan Kralj, Nada Lavrac
CBSSD: community-based semantic subgroup discovery. J. Intell. Inf. Syst. 53 (2) (2019)
Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak
Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture. Mach. Learn. Knowl. Extr. 1 (2) (2019)
Blaz Skrlj, Jan Kralj, Nada Lavrac
Symbolic Graph Embedding using Frequent Pattern Mining. CoRR (2019)
Blaz Skrlj, Nada Lavrac, Jan Kralj
Symbolic Graph Embedding Using Frequent Pattern Mining. DS (2019)
Blaz Skrlj, Jan Kralj, Nada Lavrac
Py3plex toolkit for visualization and analysis of multilayer networks. Appl. Netw. Sci. 4 (1) (2019)
Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
Correction to: Analysis of medications change in Parkinson's disease progression data. J. Intell. Inf. Syst. 51 (2) (2018)
Blaz Skrlj, Jan Kralj, Nada Lavrac
Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization. COMPLEX NETWORKS (1) (2018)
Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
Redescription mining augmented with random forest of multi-target predictive clustering trees. J. Intell. Inf. Syst. 50 (1) (2018)
Blaz Skrlj, Jan Kralj, Nada Lavrac
Targeted End-to-End Knowledge Graph Decomposition. ILP (2018)
Dragana Miljkovic, Nada Lavrac, Marko Bohanec, Biljana Mileva-Boshkoska
Discovering dependencies between domains of redox potential and plant defence through triplet extraction and copulas. Int. J. Intell. Eng. Informatics 6 (1/2) (2018)
Senja Pollak, Geraint A. Wiggins, Martin Znidarsic, Nada Lavrac
Computational Creativity in Slovenia. Informatica (Slovenia) 42 (1) (2018)
Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja
Symptoms and medications change patterns for Parkinson's disease patients stratification. Artif. Intell. Medicine 91 (2018)
Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
HINMINE: heterogeneous information network mining with information retrieval heuristics. J. Intell. Inf. Syst. 50 (1) (2018)
Matej Martinc, Martin Znidarsic, Nada Lavrac, Senja Pollak
Towards Creative Software Blending: Computational Infrastructure and Use Cases. Informatica (Slovenia) 42 (1) (2018)
Geraint A. Wiggins, Nada Lavrac, Vid Podpecan, Senja Pollak
Conceptualising Computational Creativity: Towards automated historiography of a research field. ICCC (2018)
Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
Analysis of medications change in Parkinson's disease progression data. J. Intell. Inf. Syst. 51 (2) (2018)
Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns. DS (2018)
Blaz Skrlj, Jan Kralj, Anze Vavpetic, Nada Lavrac
Community-Based Semantic Subgroup Discovery. NFMCP@PKDD/ECML (2017)
Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
A framework for redescription set construction. Expert Syst. Appl. 68 (2017)
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. CoRR (2017)
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. Expert Syst. Appl. 85 (2017)
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. AIME (2017)
Anita Valmarska, Nada Lavrac, Johannes Fürnkranz, Marko Robnik-Sikonja
Refinement and selection heuristics in subgroup discovery and classification rule learning. Expert Syst. Appl. 81 (2017)
Janez Kranjc, Roman Orac, Vid Podpecan, Nada Lavrac, Marko Robnik-Sikonja
ClowdFlows: Online workflows for distributed big data mining. Future Gener. Comput. Syst. 68 (2017)
Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja
Co-Bidding Graphs for Constrained Paper Clustering. SLATE (2016)
Dragana Miljkovic, Nada Lavrac, Marko Bohanec, Biljana Mileva-Boshkoska
Detection of dependencies between literature domains through relation extraction and copulas. CoDIT (2016)
Matic Perovsek, Janez Kranjc, Tomaz Erjavec, Bojan Cestnik, Nada Lavrac
TextFlows: A visual programming platform for text mining and natural language processing. Sci. Comput. Program. 121 (2016)
Jan Kralj, Anze Vavpetic, Michel Dumontier, Nada Lavrac
Network Ranking Assisted Semantic Data Mining. IWBBIO (2016)
Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
A framework for redescription set construction. CoRR (2016)
Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis. NFMCP@PKDD/ECML (2016)
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. Brain Informatics 3 (3) (2016)
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
Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case. ICCC (2016)
Jasmina Smailovic, Miha Grcar, Nada Lavrac, Martin Znidarsic
Dynamic Parameter Adaptation of SVM Based Active Learning Methodology. AL@iKNOW (2016)
Senja Pollak, Biljana Mileva-Boshkoska, Dragana Miljkovic, Geraint A. Wiggins, Nada Lavrac
Computational Creativity Conceptualisation Grounded on ICCC Papers. ICCC (2016)
Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén
Explaining mixture models through semantic pattern mining and banded matrix visualization. Mach. Learn. 105 (1) (2016)
Senja Pollak, Borut Lesjak, Janez Kranjc, Vid Podpecan, Martin nidaric, Nada Lavrac
RoboCHAIR: Creative Assistant for Question Generation and Ranking. SSCI (2015)
Borut Sluban, Nada Lavrac
Relating ensemble diversity and performance: A study in class noise detection. Neurocomputing 160 (2015)
Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac
Mining Text Enriched Heterogeneous Citation Networks. PAKDD (1) (2015)
Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. IWBBIO (1) (2015)
Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
Redescription Mining with Multi-target Predictive Clustering Trees. NFMCP (2015)
Matic Perovsek, Anze Vavpetic, Janez Kranjc, Bojan Cestnik, Nada Lavrac
Wordification: Propositionalization by unfolding relational data into bags of words. Expert Syst. Appl. 42 (17-18) (2015)
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. Inf. Process. Manag. 51 (2) (2015)
Pedro Martins, Tanja Urbancic, Senja Pollak, Nada Lavrac, Amílcar Cardoso
The Good, the Bad, and the AHA! Blends. ICCC (2015)
Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
Identification of Gender Specific Biomarkers for Alzheimer's Disease. BIH (2015)
Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics. NFMCP (2015)
Nada Lavrac, Anze Vavpetic
Relational and Semantic Data Mining - - Invited Talk -. LPNMR (2015)
Dragana Miljkovic, Matjaz Depolli, Tjasa Stare, Igor Mozetic, Marko Petek, Kristina Gruden, Nada Lavrac
Plant defence model revisions through iterative minimisation of constraint violations. Int. J. Comput. Biol. Drug Des. 7 (1) (2014)
Dragan Gamberger, Matej Mihelcic, Nada Lavrac
Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. Discovery Science (2014)
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. ICCC (2014)
Dany Morisset, Petra Kralj Novak, Darko Zupanic, Kristina Gruden, Nada Lavrac, Jana Zel
GMOseek: a user friendly tool for optimized GMO testing. BMC Bioinform. 15 (2014)
Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén
Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. Discovery Science (2014)
Anze Vavpetic, Vid Podpecan, Nada Lavrac
Semantic subgroup explanations. J. Intell. Inf. Syst. 42 (2) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nada Lavrac