An adaptation of Relief for attribute estimation in regression. - Marko Robnik-Sikonja; Igor Kononenko 001 (ICML, 1997)

Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF. - Igor Kononenko 001; Edvard Simec; Marko Robnik-Sikonja (Appl. Intell., 1997)

Pruning Regression Trees with MDL. - Marko Robnik-Sikonja; Igor Kononenko 001 (ECAI, 1998)

Attribute Dependencies, Understandability and Split Selection in Tree Based Models. - Marko Robnik-Sikonja; Igor Kononenko 001 (ICML, 1999)

Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. - Marko Robnik-Sikonja; David Cukjati; Igor Kononenko 001 (AIME, 2001)

Comprehensible Interpretation of Relief's Estimates. - Marko Robnik-Sikonja; Igor Kononenko 001 (ICML, 2001)

Experiments with Cost-Sensitive Feature Evaluation. - Marko Robnik-Sikonja (ECML, 2003)

Comprehensible evaluation of prognostic factors and prediction of wound healing. - Marko Robnik-Sikonja; David Cukjati; Igor Kononenko 001 (Artif. Intell. Medicine, 2003)

Theoretical and Empirical Analysis of ReliefF and RReliefF. - Marko Robnik-Sikonja; Igor Kononenko 001 (Mach. Learn., 2003)

Improving Random Forests. - Marko Robnik-Sikonja (ECML, 2004)

Evaluation of ordinal attributes at value level. - Marko Robnik-Sikonja; Koen Vanhoof (Data Min. Knowl. Discov., 2007)

Learning Random Numbers: a MATLAB Anomaly. - Petr Savický; Marko Robnik-Sikonja (Appl. Artif. Intell., 2008)

Explaining Classifications For Individual Instances. - Marko Robnik-Sikonja; Igor Kononenko 001 (IEEE Trans. Knowl. Data Eng., 2008)

Ordinal Evaluation: A New Perspective on Country Images. - Marko Robnik-Sikonja; Kris Brijs; Koen Vanhoof (ICDM, 2009)

Learning Betting Tips from Users' Bet Selections. - Erik Strumbelj; Marko Robnik-Sikonja; Igor Kononenko 001 (MLDM, 2009)

Explaining instance classifications with interactions of subsets of feature values. - Erik Strumbelj; Igor Kononenko 001; Marko Robnik-Sikonja (Data Knowl. Eng., 2009)

Context-Sensitive Attribute Evaluation. - Marko Robnik-Sikonja (Encyclopedia of Data Warehousing and Mining, 2009)

Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. - Marko Robnik-Sikonja; Aristidis Likas; Constantinos Constantinopoulos; Igor Kononenko 001; Erik Strumbelj (ICANNGA (1), 2011)

Quality of classification explanations with PRBF. - Marko Robnik-Sikonja; Igor Kononenko 001; Erik Strumbelj (Neurocomputing, 2012)

Efficiently explaining the predictions of a probabilistic radial basis function classification network. - Marko Robnik-Sikonja; Erik Strumbelj; Igor Kononenko 001 (Intell. Data Anal., 2013)

Explanation and Reliability of Individual Predictions. - Igor Kononenko 001; Erik Strumbelj; Zoran Bosnic; Darko Pevec; Matjaz Kukar; Marko Robnik-Sikonja (Informatica (Slovenia), 2013)

Identifying roles of clinical pharmacy with survey evaluation. - Andreja Cufar; Ales Mrhar; Marko Robnik-Sikonja (CoRR, 2014)

Data generator based on RBF network. - Marko Robnik-Sikonja (CoRR, 2014)

Handling numeric attributes with ant colony based classifier for medical decision making. - Matej Piculin; Marko Robnik-Sikonja (Expert Syst. Appl., 2014)

Integration of machine learning insights into organizational learning: A case of B2B sales forecasting. - Marko Bohanec; Mirjana Kljajic Borstnar; Marko Robnik-Sikonja (Bled eConference, 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 (MIE, 2015)

Mining Text Enriched Heterogeneous Citation Networks. - Jan Kralj; Anita Valmarska; Marko Robnik-Sikonja; Nada Lavrac (PAKDD (1), 2015)

Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics. - Jan Kralj; Marko Robnik-Sikonja; Nada Lavrac (NFMCP, 2015)

Assessment of surveys for the management of hospital clinical pharmacy services. - Andreja Cufar; Ales Mrhar; Marko Robnik-Sikonja (Artif. Intell. Medicine, 2015)

Predictive power of fantasy sports data for soccer forecasting. - Erik Strumbelj; Marko Robnik-Sikonja (Int. J. Data Min. Model. Manag., 2015)

Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis. - Anita Valmarska; Dragana Miljkovic; Marko Robnik-Sikonja; Nada Lavrac (NFMCP@PKDD/ECML, 2016)

Co-Bidding Graphs for Constrained Paper Clustering. - Tadej Skvorc; Nada Lavrac; Marko Robnik-Sikonja (SLATE, 2016)

Obtaining structural descriptions of building façades. - Petar Vracar; Igor Kononenko 001; Marko Robnik-Sikonja (Comput. Sci. Inf. Syst., 2016)

Data Generators for Learning Systems Based on RBF Networks. - Marko Robnik-Sikonja (IEEE Trans. Neural Networks Learn. Syst., 2016)

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 (AIME, 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)

Explaining machine learning models in sales predictions. - Marko Bohanec; Mirjana Kljajic Borstnar; Marko Robnik-Sikonja (Expert Syst. Appl., 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)

ClowdFlows: Online workflows for distributed big data mining. - Janez Kranjc; Roman Orac; Vid Podpecan; Nada Lavrac; Marko Robnik-Sikonja (Future Gener. Comput. Syst., 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)

Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns. - Anita Valmarska; Dragana Miljkovic; Marko Robnik-Sikonja; Nada Lavrac (DS, 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)

Explanation of Prediction Models with ExplainPrediction. - Marko Robnik-Sikonja (Informatica (Slovenia), 2018)

HINMINE: heterogeneous information network mining with information retrieval heuristics. - Jan Kralj; Marko Robnik-Sikonja; Nada Lavrac (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)

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)

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)

Perturbation-Based Explanations of Prediction Models. - Marko Robnik-Sikonja; Marko Bohanec (Human and Machine Learning, 2018)

Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. - Anita Valmarska; Dragana Miljkovic; Marko Robnik-Sikonja; Nada Lavrac (AIME, 2019)

Generating Data using Monte Carlo Dropout. - Kristian Miok; Dong Nguyen Doan; Daniela Zaharie; Marko Robnik-Sikonja (ICCP, 2019)

Prediction Uncertainty Estimation for Hate Speech Classification. - Kristian Miok; Dong Nguyen Doan; Blaz Skrlj; Daniela Zaharie; Marko Robnik-Sikonja (SLSP, 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)

Multilingual Culture-Independent Word Analogy Datasets. - Matej Ulcar; Marko Robnik-Sikonja (CoRR, 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)

NetSDM: Semantic Data Mining with Network Analysis. - Jan Kralj; Marko Robnik-Sikonja; Nada Lavrac (J. Mach. Learn. Res., 2019)

Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. - Anita Valmarska; Dragana Miljkovic; Nada Lavrac; Marko Robnik-Sikonja (AIME, 2020)

High Quality ELMo Embeddings for Seven Less-Resourced Languages. - Matej Ulcar; Marko Robnik-Sikonja (LREC, 2020)

Multilingual Culture-Independent Word Analogy Datasets. - Matej Ulcar; Kristiina Vaik; Jessica Lindström; Milda Dailidenaite; Marko Robnik-Sikonja (LREC, 2020)

FinEst BERT and CroSloEngual BERT - Less Is More in Multilingual Models. - Matej Ulcar; Marko Robnik-Sikonja (TDS, 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)

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)

Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders. - Kristian Miok; Dong Nguyen Doan; Marko Robnik-Sikonja; Daniela Zaharie (CoRR, 2020)

Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space. - Marko Robnik-Sikonja; Kristjan Reba; Igor Mozetic (CoRR, 2020)

Bayesian Methods for Semi-supervised Text Annotation. - Kristian Miok; Gregor Pirs; Marko Robnik-Sikonja (CoRR, 2020)

Cross-lingual Approach to Abstractive Summarization. - Ales Zagar; Marko Robnik-Sikonja (CoRR, 2020)

Propositionalization and embeddings: two sides of the same coin. - Nada Lavrac; Blaz Skrlj; Marko Robnik-Sikonja (Mach. Learn., 2020)

Stratification of Parkinson's Disease Patients via Multi-view Clustering. - Anita Valmarska; Nada Lavrac; Marko Robnik-Sikonja (AIME, 2021)

Training Dataset and Dictionary Sizes Matter in BERT Models: The Case of Baltic Languages. - Matej Ulcar; Marko Robnik-Sikonja (AIST, 2021)

BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. - Enja Kokalj; Blaz Skrlj; Nada Lavrac; Senja Pollak; Marko Robnik-Sikonja (EACL (Hackashop), 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; et al. (EACL (Hackashop), 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 (EACL (Hackashop), 2021)

Unsupervised Approach to Multilingual User Comments Summarization. - Ales Zagar; Marko Robnik-Sikonja (EACL (Hackashop), 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; et al. (Comput. Biol. Medicine, 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; et al. (Comput. Biol. Medicine, 2021)

Supervised and Unsupervised Neural Approaches to Text Readability. - Matej Martinc; Senja Pollak; Marko Robnik-Sikonja (Comput. Linguistics, 2021)

Better sampling in explanation methods can prevent dieselgate-like deception. - Domen Vres; 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)

Extracting and filtering paraphrases by bridging natural language inference and paraphrasing. - Matej Klemen; Marko Robnik-Sikonja (CoRR, 2021)

Neural Metaphor Detection for Slovene. - Matej Klemen; Marko Robnik-Sikonja (CLARIN Annual 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 (LREC, 2022)

Slovene SuperGLUE Benchmark: Translation and Evaluation. - Ales Zagar; Marko Robnik-Sikonja (LREC, 2022)

ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection. - Matej Klemen; Marko Robnik-Sikonja (SemEval@NAACL, 2022)

NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering. - Tadej Skvorc; Nada Lavrac; Marko Robnik-Sikonja (IEEE Access, 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)

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)

Unified Question Answering in Slovene. - Katja Logar; Marko Robnik-Sikonja (CoRR, 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)

Knowledge graph informed fake news classification via heterogeneous representation ensembles. - Boshko Koloski; Timen Stepisnik Perdih; Marko Robnik-Sikonja; Senja Pollak; Blaz Skrlj (Neurocomputing, 2022)

Cross-lingual transfer of abstractive summarizer to less-resource language. - Ales Zagar; Marko Robnik-Sikonja (J. Intell. Inf. Syst., 2022)

MICE: Mining Idioms with Contextual Embeddings. - Tadej Skvorc; Polona Gantar; Marko Robnik-Sikonja (Knowl. Based Syst., 2022)

Cross-lingual alignments of ELMo contextual embeddings. - Matej Ulcar; Marko Robnik-Sikonja (Neural Comput. Appl., 2022)

One Model to Rule Them All: Ranking Slovene Summarizers. - Ales Zagar; Marko Robnik-Sikonja (TSD, 2023)

Detection of depression on social networks using transformers and ensembles. - Ilija Tavchioski; Marko Robnik-Sikonja; Senja Pollak (CoRR, 2023)

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies. - Boshko Koloski; Blaz Skrlj; Marko Robnik-Sikonja; Senja Pollak (CoRR, 2023)

Sequence-to-sequence pretraining for a less-resourced Slovenian language. - Matej Ulcar; Marko Robnik-Sikonja (Frontiers Artif. Intell., 2023)

Enhancing deep neural networks with morphological information. - Matej Klemen; Luka Krsnik; Marko Robnik-Sikonja (Nat. Lang. Eng., 2023)

Feature construction using explanations of individual predictions. - Bostjan Vouk; Matej Guid; Marko Robnik-Sikonja (Eng. Appl. Artif. Intell., 2023)

SI-NLI: A Slovene Natural Language Inference Dataset and Its Evaluation. - Matej Klemen; Ales Zagar; Jaka Cibej; Marko Robnik-Sikonja (LREC/COLING, 2024)

LLMSegm: Surface-level Morphological Segmentation Using Large Language Model. - Marko Pranjic; Marko Robnik-Sikonja; Senja Pollak (LREC/COLING, 2024)

SENTA: Sentence Simplification System for Slovene. - Ales Zagar; Matej Klemen; Marko Robnik-Sikonja; Iztok Kosem (LREC/COLING, 2024)

Neural Spell-Checker: Beyond Words with Synthetic Data Generation. - Matej Klemen; Martin Bozic; Spela Arhar Holdt; Marko Robnik-Sikonja (TSD (1), 2024)

Code-mixed Sentiment and Hate-speech Prediction. - Anjali Yadav; Tanya Garg; Matej Klemen; Matej Ulcar; Basant Agarwal; Marko Robnik-Sikonja (CoRR, 2024)

Generative Model for Less-Resourced Language with 1 billion parameters. - Domen Vres; Martin Bozic; Aljaz Potocnik; Tomaz Martincic; Marko Robnik-Sikonja (CoRR, 2024)

Sarcasm Detection in a Less-Resourced Language. - Lazar Dokovic; Marko Robnik-Sikonja (CoRR, 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)

Preventing deception with explanation methods using focused sampling. - Domen Vres; Marko Robnik-Sikonja (Data Min. Knowl. Discov., 2024)

Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies. - Boshko Koloski; Blaz Skrlj; Marko Robnik-Sikonja; Senja Pollak (IEEE Access, 2025)

Retrieval-augmented code completion for local projects using large language models. - Marko Hostnik; Marko Robnik-Sikonja (Expert Syst. Appl., 2025)

From Translation to Generative LLMs: Classification of Code-Mixed Affective Tasks. - Anjali Yadav; Tanya Garg; Matej Klemen; Matej Ulcar; Basant Agarwal; Marko Robnik-Sikonja (IEEE Trans. Affect. Comput., 2025)

Solving Word-Sense Disambiguation and Word-Sense Induction with Dictionary Examples. - Tadej Skvorc; Marko Robnik-Sikonja (CoRR, 2025)

Real-time News Story Identification. - Tadej Skvorc; Nikola Ivacic; Sebastjan Hribar; Marko Robnik-Sikonja (CoRR, 2025)

TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning. - Kristian Miok; Blaz Skrlj; Daniela Zaharie; Marko Robnik-Sikonja (CoRR, 2025)

Improving LLMs for Machine Translation Using Synthetic Preference Data. - Dario Vajda; Domen Vres; Marko Robnik-Sikonja (CoRR, 2025)

Large language models for folktale type automation based on motifs: Cinderella case study. - Tjasa Arcon; Marko Robnik-Sikonja; Polona Tratnik (CoRR, 2025)

Mono- and cross-lingual evaluation of representation language models on less-resourced languages. - Matej Ulcar; Ales Zagar; Carlos Santos Armendariz; Andraz Repar; Senja Pollak; Matthew Purver; Marko Robnik-Sikonja (Comput. Speech Lang., 2026)