Marko Robnik-Sikonja

According to our database, Marko Robnik-Sikonja authored at least 98 papers between 1997 and 2024.

Collaborative distances:

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

2024

Multi-aspect multilingual and cross-lingual parliamentary speech analysis.

Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova, Miguel-Angel Benitez-Castro, Marko Robnik-Sikonja

Intell. Data Anal., 2024

2023

Feature construction using explanations of individual predictions.

Bostjan Vouk, Matej Guid, Marko Robnik-Sikonja

Eng. Appl. Artif. Intell., April, 2023

Enhancing deep neural networks with morphological information.

Matej Klemen, Luka Krsnik, Marko Robnik-Sikonja

Nat. Lang. Eng., March, 2023

Sequence-to-sequence pretraining for a less-resourced Slovenian language.

Matej Ulcar, Marko Robnik-Sikonja

Frontiers Artif. Intell., February, 2023

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies.

Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak

CoRR, 2023

Detection of depression on social networks using transformers and ensembles.

Ilija Tavchioski, Marko Robnik-Sikonja, Senja Pollak

CoRR, 2023

One Model to Rule Them All: Ranking Slovene Summarizers.

Ales Zagar, Marko Robnik-Sikonja

Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

2022

Cross-lingual alignments of ELMo contextual embeddings.

Matej Ulcar, Marko Robnik-Sikonja

Neural Comput. Appl., 2022

MICE: Mining Idioms with Contextual Embeddings.

Tadej Skvorc, Polona Gantar, Marko Robnik-Sikonja

Knowl. Based Syst., 2022

Cross-lingual transfer of abstractive summarizer to less-resource language.

Ales Zagar, Marko Robnik-Sikonja

J. Intell. Inf. Syst., 2022

Knowledge graph informed fake news classification via heterogeneous representation ensembles.

Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj

Neurocomputing, 2022

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

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

Int. J. Intell. Syst., 2022

Unified Question Answering in Slovene.

Katja Logar, Marko Robnik-Sikonja

CoRR, 2022

Survey of NLP in Pharmacology: Methodology, Tasks, Resources, Knowledge, and Tools.

Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva, Jovana Dobreva, Milos Jovanovik, Matej Klemen, Ales Zagar, Marko Robnik-Sikonja

CoRR, 2022

To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection.

Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja

Cogn. Comput., 2022

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

Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja

IEEE Access, 2022

ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection.

Matej Klemen, Marko Robnik-Sikonja

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Slovene SuperGLUE Benchmark: Translation and Evaluation.

Ales Zagar, Marko Robnik-Sikonja

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme.

Ana Zwitter Vitez, Mojca Brglez, Marko Robnik-Sikonja, Tadej Skvorc, Andreja Vezovnik, Senja Pollak

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Neural Metaphor Detection for Slovene.

Matej Klemen, Marko Robnik-Sikonja

Proceedings of the Selected Papers from the CLARIN Annual Conference 2022, 2022

2021

Extracting and filtering paraphrases by bridging natural language inference and paraphrasing.

Matej Klemen, Marko Robnik-Sikonja

CoRR, 2021

Evaluation of contextual embeddings on less-resourced languages.

Matej Ulcar, Ales Zagar, Carlos Santos Armendariz, Andraz Repar, Senja Pollak, Matthew Purver, Marko Robnik-Sikonja

CoRR, 2021

Better sampling in explanation methods can prevent dieselgate-like deception.

Domen Vres, Marko Robnik-Sikonja

CoRR, 2021

Supervised and Unsupervised Neural Approaches to Text Readability.

Matej Martinc, Senja Pollak, Marko Robnik-Sikonja

Comput. Linguistics, 2021

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy.

Tim Smole, Bojan Zunkovic, Matej Piculin, Enja Kokalj, Marko Robnik-Sikonja, Matjaz Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popovic, Lars Maier, Lazar U. Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic

Comput. Biol. Medicine, 2021

A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains.

Vasileios C. Pezoulas, Grigoris I. Grigoriadis, George Gkois, Nikolaos S. Tachos, Tim Smole, Zoran Bosnic, Matej Piculin, Iacopo Olivotto, Fausto Barlocco, Marko Robnik-Sikonja, Djordje G. Jakovljevic, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis

Comput. Biol. Medicine, 2021

Unsupervised Approach to Multilingual User Comments Summarization.

Ales Zagar, Marko Robnik-Sikonja

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces.

Blaz Skrlj, Shane Sheehan, Nika Erzen, Marko Robnik-Sikonja, Saturnino Luz, Senja Pollak

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

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

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

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers.

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

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Training Dataset and Dictionary Sizes Matter in BERT Models: The Case of Baltic Languages.

Matej Ulcar, Marko Robnik-Sikonja

Proceedings of the Analysis of Images, Social Networks and Texts, 2021

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

Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Propositionalization and embeddings: two sides of the same coin.

Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja

Mach. Learn., 2020

Cross-lingual Approach to Abstractive Summarization.

Ales Zagar, Marko Robnik-Sikonja

CoRR, 2020

Bayesian Methods for Semi-supervised Text Annotation.

Kristian Miok, Gregor Pirs, Marko Robnik-Sikonja

CoRR, 2020

Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space.

Marko Robnik-Sikonja, Kristjan Reba, Igor Mozetic

CoRR, 2020

Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders.

Kristian Miok, Dong Nguyen Doan, Marko Robnik-Sikonja, Daniela Zaharie

CoRR, 2020

AttViz: Online exploration of self-attention for transparent neural language modeling.

Blaz Skrlj, Nika Erzen, Shane Sheehan, Saturnino Luz, Marko Robnik-Sikonja, Senja Pollak

CoRR, 2020

Exploring the Relations Between Net Benefits of IT Projects and CIOs' Perception of Quality of Software Development Disciplines.

Damjan Vavpotic, Marko Robnik-Sikonja, Tomaz Hovelja

Bus. Inf. Syst. Eng., 2020

FinEst BERT and CroSloEngual BERT - Less Is More in Multilingual Models.

Matej Ulcar, Marko Robnik-Sikonja

Proceedings of the Text, Speech, and Dialogue, 2020

Multilingual Culture-Independent Word Analogy Datasets.

Matej Ulcar, Kristiina Vaik, Jessica Lindström, Milda Dailidenaite, Marko Robnik-Sikonja

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

High Quality ELMo Embeddings for Seven Less-Resourced Languages.

Matej Ulcar, Marko Robnik-Sikonja

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

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

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

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

NetSDM: Semantic Data Mining with Network Analysis.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

J. Mach. Learn. Res., 2019

CoSimLex: A Resource for Evaluating Graded Word Similarity in Context.

Carlos Santos Armendariz, Matthew Purver, Matej Ulcar, Senja Pollak, Nikola Ljubesic, Marko Robnik-Sikonja, Mark Granroth-Wilding, Kristiina Vaik

CoRR, 2019

Multilingual Culture-Independent Word Analogy Datasets.

Matej Ulcar, Marko Robnik-Sikonja

CoRR, 2019

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

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

CoRR, 2019

Prediction Uncertainty Estimation for Hate Speech Classification.

Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja

Proceedings of the Statistical Language and Speech Processing, 2019

Generating Data using Monte Carlo Dropout.

Kristian Miok, Dong Nguyen Doan, Daniela Zaharie, Marko Robnik-Sikonja

Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019

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

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

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Perturbation-Based Explanations of Prediction Models.

Marko Robnik-Sikonja, Marko Bohanec

Proceedings of the Human and Machine Learning, 2018

Modeling ischemia with finite elements and automated machine learning.

Marko Robnik-Sikonja, Milos D. Radovic, Smiljana Dorovic, Bojana R. Andjelkovic Cirkovic, Nenad Filipovic

J. Comput. Sci., 2018

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

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

J. Intell. Inf. Syst., 2018

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

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

J. Intell. Inf. Syst., 2018

HINMINE: heterogeneous information network mining with information retrieval heuristics.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

J. Intell. Inf. Syst., 2018

Explanation of Prediction Models with ExplainPrediction.

Marko Robnik-Sikonja

Informatica (Slovenia), 2018

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

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

Artif. Intell. Medicine, 2018

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

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

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

2017

Decision-making framework with double-loop learning through interpretable black-box machine learning models.

Marko Bohanec, Marko Robnik-Sikonja, Mirjana Kljajic Borstnar

Ind. Manag. Data Syst., 2017

ClowdFlows: Online workflows for distributed big data mining.

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

Future Gener. Comput. Syst., 2017

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

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

Expert Syst. Appl., 2017

Explaining machine learning models in sales predictions.

Marko Bohanec, Mirjana Kljajic Borstnar, Marko Robnik-Sikonja

Expert Syst. Appl., 2017

Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017.

Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou

Data Min. Knowl. Discov., 2017

Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification.

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

Proceedings of the Artificial Intelligence in Medicine, 2017

2016

Data Generators for Learning Systems Based on RBF Networks.

Marko Robnik-Sikonja

IEEE Trans. Neural Networks Learn. Syst., 2016

Obtaining structural descriptions of building façades.

Petar Vracar, Igor Kononenko, Marko Robnik-Sikonja

Comput. Sci. Inf. Syst., 2016

Co-Bidding Graphs for Constrained Paper Clustering.

Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja

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

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

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

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

2015

Predictive power of fantasy sports data for soccer forecasting.

Erik Strumbelj, Marko Robnik-Sikonja

Int. J. Data Min. Model. Manag., 2015

Assessment of surveys for the management of hospital clinical pharmacy services.

Andreja Cufar, Ales Mrhar, Marko Robnik-Sikonja

Artif. Intell. Medicine, 2015

Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

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

Mining Text Enriched Heterogeneous Citation Networks.

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

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

Evaluation of drug and disease influence on occurrence of hyperkalemia: a data mining approach.

Petra Volk Markovic, Tomislav Laptos, Marko Robnik-Sikonja, Andreja Cufar

Proceedings of the Digital Healthcare Empowering Europeans, 2015

Integration of machine learning insights into organizational learning: A case of B2B sales forecasting.

Marko Bohanec, Mirjana Kljajic Borstnar, Marko Robnik-Sikonja

Proceedings of the 28th Bled eConference: s#eWellBeing, 2015

2014

Handling numeric attributes with ant colony based classifier for medical decision making.

Matej Piculin, Marko Robnik-Sikonja

Expert Syst. Appl., 2014

Data generator based on RBF network.

Marko Robnik-Sikonja

CoRR, 2014

Identifying roles of clinical pharmacy with survey evaluation.

Andreja Cufar, Ales Mrhar, Marko Robnik-Sikonja

CoRR, 2014

2013

Explanation and Reliability of Individual Predictions.

Igor Kononenko, Erik Strumbelj, Zoran Bosnic, Darko Pevec, Matjaz Kukar, Marko Robnik-Sikonja

Informatica (Slovenia), 2013

Efficiently explaining the predictions of a probabilistic radial basis function classification network.

Marko Robnik-Sikonja, Erik Strumbelj, Igor Kononenko

Intell. Data Anal., 2013

2012

Quality of classification explanations with PRBF.

Marko Robnik-Sikonja, Igor Kononenko, Erik Strumbelj

Neurocomputing, 2012

2011

Efficiently Explaining Decisions of Probabilistic RBF Classification Networks.

Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2009

Context-Sensitive Attribute Evaluation.

Marko Robnik-Sikonja

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Explaining instance classifications with interactions of subsets of feature values.

Erik Strumbelj, Igor Kononenko, Marko Robnik-Sikonja

Data Knowl. Eng., 2009

Learning Betting Tips from Users' Bet Selections.

Erik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Ordinal Evaluation: A New Perspective on Country Images.

Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

2008

Explaining Classifications For Individual Instances.

Marko Robnik-Sikonja, Igor Kononenko

IEEE Trans. Knowl. Data Eng., 2008

Learning Random Numbers: a MATLAB Anomaly.

Petr Savický, Marko Robnik-Sikonja

Appl. Artif. Intell., 2008

2007

Evaluation of ordinal attributes at value level.

Marko Robnik-Sikonja, Koen Vanhoof

Data Min. Knowl. Discov., 2007

2004

Improving Random Forests.

Marko Robnik-Sikonja

Proceedings of the Machine Learning: ECML 2004, 2004

2003

Theoretical and Empirical Analysis of ReliefF and RReliefF.

Marko Robnik-Sikonja, Igor Kononenko

Mach. Learn., 2003

Comprehensible evaluation of prognostic factors and prediction of wound healing.

Marko Robnik-Sikonja, David Cukjati, Igor Kononenko

Artif. Intell. Medicine, 2003

Experiments with Cost-Sensitive Feature Evaluation.

Marko Robnik-Sikonja

Proceedings of the Machine Learning: ECML 2003, 2003

2001

Comprehensible Interpretation of Relief's Estimates.

Marko Robnik-Sikonja, Igor Kononenko

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools.

Marko Robnik-Sikonja, David Cukjati, Igor Kononenko

Proceedings of the Artificial Intelligence Medicine, 2001

1999

Attribute Dependencies, Understandability and Split Selection in Tree Based Models.

Marko Robnik-Sikonja, Igor Kononenko

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

1998

Pruning Regression Trees with MDL.

Marko Robnik-Sikonja, Igor Kononenko

Proceedings of the 13th European Conference on Artificial Intelligence, 1998

1997

Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF.

Igor Kononenko, Edvard Simec, Marko Robnik-Sikonja

Appl. Intell., 1997

An adaptation of Relief for attribute estimation in regression.

Marko Robnik-Sikonja, Igor Kononenko

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997