Marko Robnik-Sikonja

139 papers A* 4A 1B 11Misc 1Journal 97Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Building a Strong Instruction Language Model for a Less-Resourced Language. CoRR Domen Vres, Tjasa Arcon, Timotej Petric, Dario Vajda, Marko Robnik-Sikonja, Iztok Lebar Bajec
2026	J	`jnl`	Evaluating Metalinguistic Knowledge in Large Language Models across the World's Languages. CoRR Tjasa Arcon, Matej Klemen, Marko Robnik-Sikonja, Kaja Dobrovoljc
2026	J	`jnl`	Incremental Graph Construction Enables Robust Spectral Clustering of Texts. CoRR Marko Pranjic, Boshko Koloski, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja
2026	J	`jnl`	Mono- and cross-lingual evaluation of representation language models on less-resourced languages. Comput. Speech Lang. Matej Ulcar, Ales Zagar, Carlos Santos Armendariz, Andraz Repar, Senja Pollak, Matthew Purver, Marko Robnik-Sikonja
2025	J	`jnl`	From Translation to Generative LLMs: Classification of Code-Mixed Affective Tasks. IEEE Trans. Affect. Comput. Anjali Yadav, Tanya Garg, Matej Klemen, Matej Ulcar, Basant Agarwal, Marko Robnik-Sikonja
2025	J	`jnl`	Improving LLMs for Machine Translation Using Synthetic Preference Data. CoRR Dario Vajda, Domen Vres, Marko Robnik-Sikonja
2025	J	`jnl`	Large language models for folktale type automation based on motifs: Cinderella case study. CoRR Tjasa Arcon, Marko Robnik-Sikonja, Polona Tratnik
2025	J	`jnl`	Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies. IEEE Access Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak
2025	J	`jnl`	Real-time News Story Identification. CoRR Tadej Skvorc, Nikola Ivacic, Sebastjan Hribar, Marko Robnik-Sikonja
2025	J	`jnl`	Retrieval-augmented code completion for local projects using large language models. Expert Syst. Appl. Marko Hostnik, Marko Robnik-Sikonja
2025	J	`jnl`	Solving Word-Sense Disambiguation and Word-Sense Induction with Dictionary Examples. CoRR Tadej Skvorc, Marko Robnik-Sikonja
2025	J	`jnl`	TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning. CoRR Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja
2025	J	`jnl`	Towards Corpus-Grounded Agentic LLMs for Multilingual Grammatical Analysis. CoRR Matej Klemen, Tjasa Arcon, Luka Tercon, Marko Robnik-Sikonja, Kaja Dobrovoljc
2024	J	`jnl`	Code-mixed Sentiment and Hate-speech Prediction. CoRR Anjali Yadav, Tanya Garg, Matej Klemen, Matej Ulcar, Basant Agarwal, Marko Robnik-Sikonja
2024	J	`jnl`	Generative Model for Less-Resourced Language with 1 billion parameters. CoRR Domen Vres, Martin Bozic, Aljaz Potocnik, Tomaz Martincic, Marko Robnik-Sikonja
2024	—	`conf`	LLMSegm: Surface-level Morphological Segmentation Using Large Language Model. LREC/COLING Marko Pranjic, Marko Robnik-Sikonja, Senja Pollak
2024	J	`jnl`	Multi-aspect multilingual and cross-lingual parliamentary speech analysis. Intell. Data Anal. Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova, Miguel-Angel Benitez-Castro, Marko Robnik-Sikonja
2024	—	`conf`	Neural Spell-Checker: Beyond Words with Synthetic Data Generation. TSD (1) Matej Klemen, Martin Bozic, Spela Arhar Holdt, Marko Robnik-Sikonja
2024	J	`jnl`	Neural spell-checker: Beyond words with synthetic data generation. CoRR Matej Klemen, Martin Bozic, Spela Arhar Holdt, Marko Robnik-Sikonja
2024	J	`jnl`	Preventing deception with explanation methods using focused sampling. Data Min. Knowl. Discov. Domen Vres, Marko Robnik-Sikonja
2024	J	`jnl`	Retrieval-augmented code completion for local projects using large language models. CoRR Marko Hostnik, Marko Robnik-Sikonja
2024	—	`conf`	SENTA: Sentence Simplification System for Slovene. LREC/COLING Ales Zagar, Matej Klemen, Marko Robnik-Sikonja, Iztok Kosem
2024	—	`conf`	SI-NLI: A Slovene Natural Language Inference Dataset and Its Evaluation. LREC/COLING Matej Klemen, Ales Zagar, Jaka Cibej, Marko Robnik-Sikonja
2024	J	`jnl`	Sarcasm Detection in a Less-Resourced Language. CoRR Lazar Dokovic, Marko Robnik-Sikonja
2023	J	`jnl`	Detection of depression on social networks using transformers and ensembles. CoRR Ilija Tavchioski, Marko Robnik-Sikonja, Senja Pollak
2023	J	`jnl`	Enhancing deep neural networks with morphological information. Nat. Lang. Eng. Matej Klemen, Luka Krsnik, Marko Robnik-Sikonja
2023	J	`jnl`	Feature construction using explanations of individual predictions. CoRR Bostjan Vouk, Matej Guid, Marko Robnik-Sikonja
2023	J	`jnl`	Feature construction using explanations of individual predictions. Eng. Appl. Artif. Intell. Bostjan Vouk, Matej Guid, Marko Robnik-Sikonja
2023	J	`jnl`	Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies. CoRR Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak
2023	—	`conf`	One Model to Rule Them All: Ranking Slovene Summarizers. TSD Ales Zagar, Marko Robnik-Sikonja
2023	J	`jnl`	One model to rule them all: ranking Slovene summarizers. CoRR Ales Zagar, Marko Robnik-Sikonja
2023	J	`jnl`	Sequence-to-sequence pretraining for a less-resourced Slovenian language. Frontiers Artif. Intell. Matej Ulcar, Marko Robnik-Sikonja
2022	J	`jnl`	Cross-lingual alignments of ELMo contextual embeddings. Neural Comput. Appl. Matej Ulcar, Marko Robnik-Sikonja
2022	J	`jnl`	Cross-lingual transfer of abstractive summarizer to less-resource language. J. Intell. Inf. Syst. Ales Zagar, Marko Robnik-Sikonja
2022	J	`jnl`	Deep node ranking for neuro-symbolic structural node embedding and classification. Int. J. Intell. Syst. Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac
2022	B	`conf`	Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme. LREC Ana Zwitter Vitez, Mojca Brglez, Marko Robnik-Sikonja, Tadej Skvorc, Andreja Vezovnik, Senja Pollak
2022	J	`jnl`	Knowledge graph informed fake news classification via heterogeneous representation ensembles. Neurocomputing Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj
2022	J	`jnl`	MICE: Mining Idioms with Contextual Embeddings. Knowl. Based Syst. Tadej Skvorc, Polona Gantar, Marko Robnik-Sikonja
2022	J	`jnl`	Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis. CoRR Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova, Miguel-Angel Benitez-Castro, Marko Robnik-Sikonja
2022	J	`jnl`	NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering. IEEE Access Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja
2022	—	`conf`	Neural Metaphor Detection for Slovene. CLARIN Annual Conference Matej Klemen, Marko Robnik-Sikonja
2022	J	`jnl`	Sequence to sequence pretraining for a less-resourced Slovenian language. CoRR Matej Ulcar, Marko Robnik-Sikonja
2022	B	`conf`	Slovene SuperGLUE Benchmark: Translation and Evaluation. LREC Ales Zagar, Marko Robnik-Sikonja
2022	J	`jnl`	Slovene SuperGLUE Benchmark: Translation and Evaluation. CoRR Ales Zagar, Marko Robnik-Sikonja
2022	J	`jnl`	Survey of NLP in Pharmacology: Methodology, Tasks, Resources, Knowledge, and Tools. CoRR Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva, Jovana Dobreva, Milos Jovanovik, Matej Klemen, Ales Zagar, Marko Robnik-Sikonja
2022	J	`jnl`	To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection. Cogn. Comput. Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja
2022	—	`conf`	ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection. SemEval@NAACL Matej Klemen, Marko Robnik-Sikonja
2022	J	`jnl`	Unified Question Answering in Slovene. CoRR Katja Logar, Marko Robnik-Sikonja
2021	J	`jnl`	A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains. Comput. Biol. Medicine 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
2021	J	`jnl`	A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine 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
2021	—	`conf`	BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. EACL (Hackashop) Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja
2021	J	`jnl`	Better sampling in explanation methods can prevent dieselgate-like deception. CoRR Domen Vres, Marko Robnik-Sikonja
2021	J	`jnl`	Cross-lingual alignments of ELMo contextual embeddings. CoRR Matej Ulcar, Marko Robnik-Sikonja
2021	—	`conf`	EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. EACL (Hackashop) Senja Pollak, Marko Robnik-Sikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjic, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppänen, Elaine Zosa, Matej Ulcar, Linda Freienthal, Silver Traat, Luis Adrián Cabrera-Diego, Matej Martinc, Nada Lavrac, Blaz Skrlj, Martin Znidarsic, Andraz Pelicon, Boshko Koloski, Vid Podpecan, Janez Kranjc, Shane Sheehan, Emanuela Boros, José G. Moreno, Antoine Doucet, Hannu Toivonen
2021	J	`jnl`	Evaluation of contextual embeddings on less-resourced languages. CoRR Matej Ulcar, Ales Zagar, Carlos Santos Armendariz, Andraz Repar, Senja Pollak, Matthew Purver, Marko Robnik-Sikonja
2021	—	`conf`	Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces. EACL (Hackashop) Blaz Skrlj, Shane Sheehan, Nika Erzen, Marko Robnik-Sikonja, Saturnino Luz, Senja Pollak
2021	J	`jnl`	Extracting and filtering paraphrases by bridging natural language inference and paraphrasing. CoRR Matej Klemen, Marko Robnik-Sikonja
2021	J	`jnl`	Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles. CoRR Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj
2021	B	`conf`	Stratification of Parkinson's Disease Patients via Multi-view Clustering. AIME Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja
2021	J	`jnl`	Supervised and Unsupervised Neural Approaches to Text Readability. Comput. Linguistics Matej Martinc, Senja Pollak, Marko Robnik-Sikonja
2021	Misc	`conf`	Training Dataset and Dictionary Sizes Matter in BERT Models: The Case of Baltic Languages. AIST Matej Ulcar, Marko Robnik-Sikonja
2021	J	`jnl`	Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages. CoRR Matej Ulcar, Marko Robnik-Sikonja
2021	—	`conf`	Unsupervised Approach to Multilingual User Comments Summarization. EACL (Hackashop) Ales Zagar, Marko Robnik-Sikonja
2020	J	`jnl`	AttViz: Online exploration of self-attention for transparent neural language modeling. CoRR Blaz Skrlj, Nika Erzen, Shane Sheehan, Saturnino Luz, Marko Robnik-Sikonja, Senja Pollak
2020	J	`jnl`	Bayesian Methods for Semi-supervised Text Annotation. CoRR Kristian Miok, Gregor Pirs, Marko Robnik-Sikonja
2020	J	`jnl`	Cross-lingual Approach to Abstractive Summarization. CoRR Ales Zagar, Marko Robnik-Sikonja
2020	J	`jnl`	Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space. CoRR Marko Robnik-Sikonja, Kristjan Reba, Igor Mozetic
2020	J	`jnl`	Enhancing deep neural networks with morphological information. CoRR Matej Klemen, Luka Krsnik, Marko Robnik-Sikonja
2020	J	`jnl`	Exploring the Relations Between Net Benefits of IT Projects and CIOs' Perception of Quality of Software Development Disciplines. Bus. Inf. Syst. Eng. Damjan Vavpotic, Marko Robnik-Sikonja, Tomaz Hovelja
2020	—	`conf`	FinEst BERT and CroSloEngual BERT - Less Is More in Multilingual Models. TDS Matej Ulcar, Marko Robnik-Sikonja
2020	J	`jnl`	FinEst BERT and CroSloEngual BERT: less is more in multilingual models. CoRR Matej Ulcar, Marko Robnik-Sikonja
2020	B	`conf`	High Quality ELMo Embeddings for Seven Less-Resourced Languages. LREC Matej Ulcar, Marko Robnik-Sikonja
2020	J	`jnl`	MICE: Mining Idioms with Contextual Embeddings. CoRR Tadej Skvorc, Polona Gantar, Marko Robnik-Sikonja
2020	B	`conf`	Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. AIME Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
2020	B	`conf`	Multilingual Culture-Independent Word Analogy Datasets. LREC Matej Ulcar, Kristiina Vaik, Jessica Lindström, Milda Dailidenaite, Marko Robnik-Sikonja
2020	J	`jnl`	Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders. CoRR Kristian Miok, Dong Nguyen Doan, Marko Robnik-Sikonja, Daniela Zaharie
2020	J	`jnl`	Propositionalization and Embeddings: Two Sides of the Same Coin. CoRR Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja
2020	J	`jnl`	Propositionalization and embeddings: two sides of the same coin. Mach. Learn. Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja
2019	J	`jnl`	CoSimLex: A Resource for Evaluating Graded Word Similarity in Context. CoRR Carlos Santos Armendariz, Matthew Purver, Matej Ulcar, Senja Pollak, Nikola Ljubesic, Marko Robnik-Sikonja, Mark Granroth-Wilding, Kristiina Vaik
2019	B	`conf`	Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. AIME Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
2019	J	`jnl`	Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification. CoRR Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac
2019	J	`jnl`	Exploring the relations between net benefits of IT projects and CIOs' perception of quality of software development disciplines. CoRR Damjan Vavpotic, Marko Robnik-Sikonja, Tomaz Hovelja
2019	B	`conf`	Generating Data using Monte Carlo Dropout. ICCP Kristian Miok, Dong Nguyen Doan, Daniela Zaharie, Marko Robnik-Sikonja
2019	J	`jnl`	Generating Data using Monte Carlo Dropout. CoRR Kristian Miok, Dong Nguyen Doan, Daniela Zaharie, Marko Robnik-Sikonja
2019	J	`jnl`	High Quality ELMo Embeddings for Seven Less-Resourced Languages. CoRR Matej Ulcar, Marko Robnik-Sikonja
2019	J	`jnl`	Multilingual Culture-Independent Word Analogy Datasets. CoRR Matej Ulcar, Marko Robnik-Sikonja
2019	J	`jnl`	NetSDM: Semantic Data Mining with Network Analysis. J. Mach. Learn. Res. Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
2019	—	`conf`	Prediction Uncertainty Estimation for Hate Speech Classification. SLSP Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja
2019	J	`jnl`	Prediction Uncertainty Estimation for Hate Speech Classification. CoRR Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja
2019	J	`jnl`	Supervised and unsupervised neural approaches to text readability. CoRR Matej Martinc, Senja Pollak, Marko Robnik-Sikonja
2018	J	`jnl`	Analysis of medications change in Parkinson's disease progression data. J. Intell. Inf. Syst. Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
2018	J	`jnl`	Correction to: Analysis of medications change in Parkinson's disease progression data. J. Intell. Inf. Syst. Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
2018	J	`jnl`	Explanation of Prediction Models with ExplainPrediction. Informatica (Slovenia) Marko Robnik-Sikonja
2018	J	`jnl`	HINMINE: heterogeneous information network mining with information retrieval heuristics. J. Intell. Inf. Syst. Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
2018	J	`jnl`	Modeling ischemia with finite elements and automated machine learning. J. Comput. Sci. Marko Robnik-Sikonja, Milos D. Radovic, Smiljana Dorovic, Bojana R. Andjelkovic Cirkovic, Nenad Filipovic
2018	—	`ch.`	Perturbation-Based Explanations of Prediction Models. Human and Machine Learning Marko Robnik-Sikonja, Marko Bohanec
2018	J	`jnl`	Symptoms and medications change patterns for Parkinson's disease patients stratification. Artif. Intell. Medicine Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja
2018	B	`conf`	Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns. DS Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
2017	J	`jnl`	ClowdFlows: Online workflows for distributed big data mining. Future Gener. Comput. Syst. Janez Kranjc, Roman Orac, Vid Podpecan, Nada Lavrac, Marko Robnik-Sikonja
2017	B	`conf`	Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification. AIME Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja
2017	J	`jnl`	Decision-making framework with double-loop learning through interpretable black-box machine learning models. Ind. Manag. Data Syst. Marko Bohanec, Marko Robnik-Sikonja, Mirjana Kljajic Borstnar
2017	J	`jnl`	Explaining machine learning models in sales predictions. Expert Syst. Appl. Marko Bohanec, Mirjana Kljajic Borstnar, Marko Robnik-Sikonja
2017	J	`jnl`	Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Data Min. Knowl. Discov. Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
2017	J	`jnl`	Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Mach. Learn. Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
2017	J	`jnl`	Refinement and selection heuristics in subgroup discovery and classification rule learning. Expert Syst. Appl. Anita Valmarska, Nada Lavrac, Johannes Fürnkranz, Marko Robnik-Sikonja
2016	—	`conf`	Co-Bidding Graphs for Constrained Paper Clustering. SLATE Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja
2016	J	`jnl`	Data Generators for Learning Systems Based on RBF Networks. IEEE Trans. Neural Networks Learn. Syst. Marko Robnik-Sikonja
2016	—	`conf`	Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis. NFMCP@PKDD/ECML Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac
2016	J	`jnl`	Obtaining structural descriptions of building façades. Comput. Sci. Inf. Syst. Petar Vracar, Igor Kononenko, Marko Robnik-Sikonja
2015	J	`jnl`	Assessment of surveys for the management of hospital clinical pharmacy services. Artif. Intell. Medicine Andreja Cufar, Ales Mrhar, Marko Robnik-Sikonja
2015	—	`conf`	Evaluation of drug and disease influence on occurrence of hyperkalemia: a data mining approach. MIE Petra Volk Markovic, Tomislav Laptos, Marko Robnik-Sikonja, Andreja Cufar
2015	—	`conf`	Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics. NFMCP Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
2015	—	`conf`	Integration of machine learning insights into organizational learning: A case of B2B sales forecasting. Bled eConference Marko Bohanec, Mirjana Kljajic Borstnar, Marko Robnik-Sikonja
2015	—	`conf`	Mining Text Enriched Heterogeneous Citation Networks. PAKDD (1) Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac
2015	J	`jnl`	Predictive power of fantasy sports data for soccer forecasting. Int. J. Data Min. Model. Manag. Erik Strumbelj, Marko Robnik-Sikonja
2014	J	`jnl`	Data generator based on RBF network. CoRR Marko Robnik-Sikonja
2014	J	`jnl`	Handling numeric attributes with ant colony based classifier for medical decision making. Expert Syst. Appl. Matej Piculin, Marko Robnik-Sikonja
2014	J	`jnl`	Identifying roles of clinical pharmacy with survey evaluation. CoRR Andreja Cufar, Ales Mrhar, Marko Robnik-Sikonja
2013	J	`jnl`	Efficiently explaining the predictions of a probabilistic radial basis function classification network. Intell. Data Anal. Marko Robnik-Sikonja, Erik Strumbelj, Igor Kononenko
2013	J	`jnl`	Explanation and Reliability of Individual Predictions. Informatica (Slovenia) Igor Kononenko, Erik Strumbelj, Zoran Bosnic, Darko Pevec, Matjaz Kukar, Marko Robnik-Sikonja
2012	J	`jnl`	Quality of classification explanations with PRBF. Neurocomputing Marko Robnik-Sikonja, Igor Kononenko, Erik Strumbelj
2011	—	`conf`	Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. ICANNGA (1) Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj
2009	—	`ch.`	Context-Sensitive Attribute Evaluation. Encyclopedia of Data Warehousing and Mining Marko Robnik-Sikonja
2009	J	`jnl`	Explaining instance classifications with interactions of subsets of feature values. Data Knowl. Eng. Erik Strumbelj, Igor Kononenko, Marko Robnik-Sikonja
2009	—	`conf`	Learning Betting Tips from Users' Bet Selections. MLDM Erik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko
2009	A*	`conf`	Ordinal Evaluation: A New Perspective on Country Images. ICDM Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof
2008	J	`jnl`	Explaining Classifications For Individual Instances. IEEE Trans. Knowl. Data Eng. Marko Robnik-Sikonja, Igor Kononenko
2008	J	`jnl`	Learning Random Numbers: a MATLAB Anomaly. Appl. Artif. Intell. Petr Savický, Marko Robnik-Sikonja
2007	J	`jnl`	Evaluation of ordinal attributes at value level. Data Min. Knowl. Discov. Marko Robnik-Sikonja, Koen Vanhoof
2004	—	`conf`	Improving Random Forests. ECML Marko Robnik-Sikonja
2003	J	`jnl`	Comprehensible evaluation of prognostic factors and prediction of wound healing. Artif. Intell. Medicine Marko Robnik-Sikonja, David Cukjati, Igor Kononenko
2003	—	`conf`	Experiments with Cost-Sensitive Feature Evaluation. ECML Marko Robnik-Sikonja
2003	J	`jnl`	Theoretical and Empirical Analysis of ReliefF and RReliefF. Mach. Learn. Marko Robnik-Sikonja, Igor Kononenko
2001	A*	`conf`	Comprehensible Interpretation of Relief's Estimates. ICML Marko Robnik-Sikonja, Igor Kononenko
2001	B	`conf`	Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. AIME Marko Robnik-Sikonja, David Cukjati, Igor Kononenko
1999	A*	`conf`	Attribute Dependencies, Understandability and Split Selection in Tree Based Models. ICML Marko Robnik-Sikonja, Igor Kononenko
1998	A	`conf`	Pruning Regression Trees with MDL. ECAI Marko Robnik-Sikonja, Igor Kononenko
1997	A*	`conf`	An adaptation of Relief for attribute estimation in regression. ICML Marko Robnik-Sikonja, Igor Kononenko
1997	J	`jnl`	Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF. Appl. Intell. Igor Kononenko, Edvard Simec, Marko Robnik-Sikonja