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Marko Robnik-Sikonja
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2020 – today
- 2024
- [j45]Domen Vres, Marko Robnik-Sikonja:
Preventing deception with explanation methods using focused sampling. Data Min. Knowl. Discov. 38(5): 3262-3307 (2024) - [j44]Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova, Miguel-Angel Benitez-Castro, Marko Robnik-Sikonja:
Multi-aspect multilingual and cross-lingual parliamentary speech analysis. Intell. Data Anal. 28(1): 239-260 (2024) - [c40]Marko Pranjic, Marko Robnik-Sikonja, Senja Pollak:
LLMSegm: Surface-level Morphological Segmentation Using Large Language Model. LREC/COLING 2024: 10665-10674 - [c39]Ales Zagar, Matej Klemen, Marko Robnik-Sikonja, Iztok Kosem:
SENTA: Sentence Simplification System for Slovene. LREC/COLING 2024: 14687-14692 - [c38]Matej Klemen, Ales Zagar, Jaka Cibej, Marko Robnik-Sikonja:
SI-NLI: A Slovene Natural Language Inference Dataset and Its Evaluation. LREC/COLING 2024: 14859-14870 - [c37]Matej Klemen, Martin Bozic, Spela Arhar Holdt, Marko Robnik-Sikonja:
Neural Spell-Checker: Beyond Words with Synthetic Data Generation. TSD (1) 2024: 85-96 - [i39]Anjali Yadav, Tanya Garg, Matej Klemen, Matej Ulcar, Basant Agarwal, Marko Robnik-Sikonja:
Code-mixed Sentiment and Hate-speech Prediction. CoRR abs/2405.12929 (2024) - [i38]Marko Hostnik, Marko Robnik-Sikonja:
Retrieval-augmented code completion for local projects using large language models. CoRR abs/2408.05026 (2024) - [i37]Domen Vres, Martin Bozic, Aljaz Potocnik, Tomaz Martincic, Marko Robnik-Sikonja:
Generative Model for Less-Resourced Language with 1 billion parameters. CoRR abs/2410.06898 (2024) - [i36]Lazar Dokovic, Marko Robnik-Sikonja:
Sarcasm Detection in a Less-Resourced Language. CoRR abs/2410.12704 (2024) - [i35]Matej Klemen, Martin Bozic, Spela Arhar Holdt, Marko Robnik-Sikonja:
Neural spell-checker: Beyond words with synthetic data generation. CoRR abs/2410.23514 (2024) - 2023
- [j43]Bostjan Vouk, Matej Guid, Marko Robnik-Sikonja:
Feature construction using explanations of individual predictions. Eng. Appl. Artif. Intell. 120: 105823 (2023) - [j42]Matej Ulcar, Marko Robnik-Sikonja:
Sequence-to-sequence pretraining for a less-resourced Slovenian language. Frontiers Artif. Intell. 6 (2023) - [j41]Matej Klemen, Luka Krsnik, Marko Robnik-Sikonja:
Enhancing deep neural networks with morphological information. Nat. Lang. Eng. 29(2): 360-385 (2023) - [c36]Ales Zagar, Marko Robnik-Sikonja:
One Model to Rule Them All: Ranking Slovene Summarizers. TSD 2023: 15-24 - [i34]Bostjan Vouk, Matej Guid, Marko Robnik-Sikonja:
Feature construction using explanations of individual predictions. CoRR abs/2301.09631 (2023) - [i33]Ilija Tavchioski, Marko Robnik-Sikonja, Senja Pollak:
Detection of depression on social networks using transformers and ensembles. CoRR abs/2305.05325 (2023) - [i32]Ales Zagar, Marko Robnik-Sikonja:
One model to rule them all: ranking Slovene summarizers. CoRR abs/2306.11518 (2023) - [i31]Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak:
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies. CoRR abs/2309.06089 (2023) - 2022
- [j40]Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja:
NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering. IEEE Access 10: 10880-10897 (2022) - [j39]Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja:
To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection. Cogn. Comput. 14(1): 353-371 (2022) - [j38]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): 914-943 (2022) - [j37]Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj:
Knowledge graph informed fake news classification via heterogeneous representation ensembles. Neurocomputing 496: 208-226 (2022) - [j36]Ales Zagar, Marko Robnik-Sikonja:
Cross-lingual transfer of abstractive summarizer to less-resource language. J. Intell. Inf. Syst. 58(1): 153-173 (2022) - [j35]Tadej Skvorc, Polona Gantar, Marko Robnik-Sikonja:
MICE: Mining Idioms with Contextual Embeddings. Knowl. Based Syst. 235: 107606 (2022) - [j34]Matej Ulcar, Marko Robnik-Sikonja:
Cross-lingual alignments of ELMo contextual embeddings. Neural Comput. Appl. 34(15): 13043-13061 (2022) - [c35]Matej Klemen, Marko Robnik-Sikonja:
Neural Metaphor Detection for Slovene. CLARIN Annual Conference 2022: 77-89 - [c34]Ales Zagar, Marko Robnik-Sikonja:
Slovene SuperGLUE Benchmark: Translation and Evaluation. LREC 2022: 2058-2065 - [c33]Ana Zwitter Vitez, Mojca Brglez, Marko Robnik-Sikonja, Tadej Skvorc, Andreja Vezovnik, Senja Pollak:
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme. LREC 2022: 2430-2439 - [c32]Matej Klemen, Marko Robnik-Sikonja:
ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection. SemEval@NAACL 2022: 525-532 - [i30]Ales Zagar, Marko Robnik-Sikonja:
Slovene SuperGLUE Benchmark: Translation and Evaluation. CoRR abs/2202.04994 (2022) - [i29]Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova, Miguel-Angel Benitez-Castro, Marko Robnik-Sikonja:
Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis. CoRR abs/2207.01054 (2022) - [i28]Matej Ulcar, Marko Robnik-Sikonja:
Sequence to sequence pretraining for a less-resourced Slovenian language. CoRR abs/2207.13988 (2022) - [i27]Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva, Jovana Dobreva, Milos Jovanovik, Matej Klemen, Ales Zagar, Marko Robnik-Sikonja:
Survey of NLP in Pharmacology: Methodology, Tasks, Resources, Knowledge, and Tools. CoRR abs/2208.10228 (2022) - [i26]Katja Logar, Marko Robnik-Sikonja:
Unified Question Answering in Slovene. CoRR abs/2211.09159 (2022) - 2021
- [j33]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:
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 134: 104520 (2021) - [j32]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:
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine 135: 104648 (2021) - [j31]Matej Martinc, Senja Pollak, Marko Robnik-Sikonja:
Supervised and Unsupervised Neural Approaches to Text Readability. Comput. Linguistics 47(1): 141-179 (2021) - [c31]Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja:
Stratification of Parkinson's Disease Patients via Multi-view Clustering. AIME 2021: 229-239 - [c30]Matej Ulcar, Marko Robnik-Sikonja:
Training Dataset and Dictionary Sizes Matter in BERT Models: The Case of Baltic Languages. AIST 2021: 162-172 - [c29]Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja:
BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. EACL (Hackashop) 2021: 16-21 - [c28]Blaz Skrlj, Shane Sheehan, Nika Erzen, Marko Robnik-Sikonja, Saturnino Luz, Senja Pollak:
Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces. EACL (Hackashop) 2021: 76-83 - [c27]Ales Zagar, Marko Robnik-Sikonja:
Unsupervised Approach to Multilingual User Comments Summarization. EACL (Hackashop) 2021: 89-98 - [c26]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:
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. EACL (Hackashop) 2021: 99-109 - [i25]Domen Vres, Marko Robnik-Sikonja:
Better sampling in explanation methods can prevent dieselgate-like deception. CoRR abs/2101.11702 (2021) - [i24]Matej Ulcar, Marko Robnik-Sikonja:
Cross-lingual alignments of ELMo contextual embeddings. CoRR abs/2106.15986 (2021) - [i23]Matej Ulcar, Ales Zagar, Carlos Santos Armendariz, Andraz Repar, Senja Pollak, Matthew Purver, Marko Robnik-Sikonja:
Evaluation of contextual embeddings on less-resourced languages. CoRR abs/2107.10614 (2021) - [i22]Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj:
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles. CoRR abs/2110.10457 (2021) - [i21]Matej Klemen, Marko Robnik-Sikonja:
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing. CoRR abs/2111.07119 (2021) - [i20]Matej Ulcar, Marko Robnik-Sikonja:
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages. CoRR abs/2112.10553 (2021) - 2020
- [j30]Damjan Vavpotic, Marko Robnik-Sikonja, Tomaz Hovelja:
Exploring the Relations Between Net Benefits of IT Projects and CIOs' Perception of Quality of Software Development Disciplines. Bus. Inf. Syst. Eng. 62(4): 347-360 (2020) - [j29]Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja:
Propositionalization and embeddings: two sides of the same coin. Mach. Learn. 109(7): 1465-1507 (2020) - [c25]Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja:
Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. AIME 2020: 287-298 - [c24]Matej Ulcar, Kristiina Vaik, Jessica Lindström, Milda Dailidenaite, Marko Robnik-Sikonja:
Multilingual Culture-Independent Word Analogy Datasets. LREC 2020: 4074-4080 - [c23]Matej Ulcar, Marko Robnik-Sikonja:
High Quality ELMo Embeddings for Seven Less-Resourced Languages. LREC 2020: 4731-4738 - [c22]Matej Ulcar, Marko Robnik-Sikonja:
FinEst BERT and CroSloEngual BERT - Less Is More in Multilingual Models. TDS 2020: 104-111 - [i19]Blaz Skrlj, Nika Erzen, Shane Sheehan, Saturnino Luz, Marko Robnik-Sikonja, Senja Pollak:
AttViz: Online exploration of self-attention for transparent neural language modeling. CoRR abs/2005.05716 (2020) - [i18]Kristian Miok, Dong Nguyen Doan, Marko Robnik-Sikonja, Daniela Zaharie:
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders. CoRR abs/2005.06173 (2020) - [i17]Marko Robnik-Sikonja, Kristjan Reba, Igor Mozetic:
Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space. CoRR abs/2005.07456 (2020) - [i16]Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja:
Propositionalization and Embeddings: Two Sides of the Same Coin. CoRR abs/2006.04410 (2020) - [i15]Matej Ulcar, Marko Robnik-Sikonja:
FinEst BERT and CroSloEngual BERT: less is more in multilingual models. CoRR abs/2006.07890 (2020) - [i14]Tadej Skvorc, Polona Gantar, Marko Robnik-Sikonja:
MICE: Mining Idioms with Contextual Embeddings. CoRR abs/2008.05759 (2020) - [i13]Kristian Miok, Gregor Pirs, Marko Robnik-Sikonja:
Bayesian Methods for Semi-supervised Text Annotation. CoRR abs/2010.14872 (2020) - [i12]Matej Klemen, Luka Krsnik, Marko Robnik-Sikonja:
Enhancing deep neural networks with morphological information. CoRR abs/2011.12432 (2020) - [i11]Ales Zagar, Marko Robnik-Sikonja:
Cross-lingual Approach to Abstractive Summarization. CoRR abs/2012.04307 (2020)
2010 – 2019
- 2019
- [j28]Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac:
NetSDM: Semantic Data Mining with Network Analysis. J. Mach. Learn. Res. 20: 32:1-32:50 (2019) - [c21]Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac:
Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. AIME 2019: 263-268 - [c20]Kristian Miok, Dong Nguyen Doan, Daniela Zaharie, Marko Robnik-Sikonja:
Generating Data using Monte Carlo Dropout. ICCP 2019: 509-515 - [c19]Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja:
Prediction Uncertainty Estimation for Hate Speech Classification. SLSP 2019: 286-298 - [i10]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 abs/1902.03964 (2019) - [i9]Matej Martinc, Senja Pollak, Marko Robnik-Sikonja:
Supervised and unsupervised neural approaches to text readability. CoRR abs/1907.11779 (2019) - [i8]Damjan Vavpotic, Marko Robnik-Sikonja, Tomaz Hovelja:
Exploring the relations between net benefits of IT projects and CIOs' perception of quality of software development disciplines. CoRR abs/1908.04070 (2019) - [i7]Kristian Miok, Dong Nguyen Doan, Daniela Zaharie, Marko Robnik-Sikonja:
Generating Data using Monte Carlo Dropout. CoRR abs/1909.05755 (2019) - [i6]Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja:
Prediction Uncertainty Estimation for Hate Speech Classification. CoRR abs/1909.07158 (2019) - [i5]Matej Ulcar, Marko Robnik-Sikonja:
Multilingual Culture-Independent Word Analogy Datasets. CoRR abs/1911.10038 (2019) - [i4]Matej Ulcar, Marko Robnik-Sikonja:
High Quality ELMo Embeddings for Seven Less-Resourced Languages. CoRR abs/1911.10049 (2019) - [i3]Carlos Santos Armendariz, Matthew Purver, Matej Ulcar, Senja Pollak, Nikola Ljubesic, Marko Robnik-Sikonja, Mark Granroth-Wilding, Kristiina Vaik:
CoSimLex: A Resource for Evaluating Graded Word Similarity in Context. CoRR abs/1912.05320 (2019) - 2018
- [j27]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: 82-95 (2018) - [j26]Marko Robnik-Sikonja:
Explanation of Prediction Models with ExplainPrediction. Informatica (Slovenia) 42(1) (2018) - [j25]Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac:
HINMINE: heterogeneous information network mining with information retrieval heuristics. J. Intell. Inf. Syst. 50(1): 29-61 (2018) - [j24]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): 301-337 (2018) - [j23]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): 339-340 (2018) - [j22]Marko Robnik-Sikonja, Milos D. Radovic, Smiljana Dorovic, Bojana R. Andjelkovic Cirkovic, Nenad Filipovic:
Modeling ischemia with finite elements and automated machine learning. J. Comput. Sci. 29: 99-106 (2018) - [c18]Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac:
Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns. DS 2018: 466-479 - [p1]Marko Robnik-Sikonja, Marko Bohanec:
Perturbation-Based Explanations of Prediction Models. Human and Machine Learning 2018: 159-175 - 2017
- [j21]Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou:
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Data Min. Knowl. Discov. 31(5): 1155-1156 (2017) - [j20]Marko Bohanec, Mirjana Kljajic Borstnar, Marko Robnik-Sikonja:
Explaining machine learning models in sales predictions. Expert Syst. Appl. 71: 416-428 (2017) - [j19]Anita Valmarska, Nada Lavrac, Johannes Fürnkranz, Marko Robnik-Sikonja:
Refinement and selection heuristics in subgroup discovery and classification rule learning. Expert Syst. Appl. 81: 147-162 (2017) - [j18]Janez Kranjc, Roman Orac, Vid Podpecan, Nada Lavrac, Marko Robnik-Sikonja:
ClowdFlows: Online workflows for distributed big data mining. Future Gener. Comput. Syst. 68: 38-58 (2017) - [j17]Marko Bohanec, Marko Robnik-Sikonja, Mirjana Kljajic Borstnar:
Decision-making framework with double-loop learning through interpretable black-box machine learning models. Ind. Manag. Data Syst. 117(7): 1389-1406 (2017) - [j16]Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou:
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Mach. Learn. 106(9-10): 1243-1244 (2017) - [c17]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: 116-125 - 2016
- [j15]Petar Vracar, Igor Kononenko, Marko Robnik-Sikonja:
Obtaining structural descriptions of building façades. Comput. Sci. Inf. Syst. 13(1): 23-43 (2016) - [j14]Marko Robnik-Sikonja:
Data Generators for Learning Systems Based on RBF Networks. IEEE Trans. Neural Networks Learn. Syst. 27(5): 926-938 (2016) - [c16]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: 163-178 - [c15]Tadej Skvorc, Nada Lavrac, Marko Robnik-Sikonja:
Co-Bidding Graphs for Constrained Paper Clustering. SLATE 2016: 1:1-1:13 - 2015
- [j13]Andreja Cufar, Ales Mrhar, Marko Robnik-Sikonja:
Assessment of surveys for the management of hospital clinical pharmacy services. Artif. Intell. Medicine 64(2): 147-158 (2015) - [j12]Erik Strumbelj, Marko Robnik-Sikonja:
Predictive power of fantasy sports data for soccer forecasting. Int. J. Data Min. Model. Manag. 7(2): 154-163 (2015) - [c14]Marko Bohanec, Mirjana Kljajic Borstnar, Marko Robnik-Sikonja:
Integration of machine learning insights into organizational learning: A case of B2B sales forecasting. Bled eConference 2015: 33 - [c13]Petra Volk Markovic, Tomislav Laptos, Marko Robnik-Sikonja, Andreja Cufar:
Evaluation of drug and disease influence on occurrence of hyperkalemia: a data mining approach. MIE 2015: 1026-1027 - [c12]Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac:
Mining Text Enriched Heterogeneous Citation Networks. PAKDD (1) 2015: 672-683 - [c11]Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac:
Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics. NFMCP 2015: 194-208 - 2014
- [j11]Matej Piculin, Marko Robnik-Sikonja:
Handling numeric attributes with ant colony based classifier for medical decision making. Expert Syst. Appl. 41(16): 7524-7535 (2014) - [i2]Marko Robnik-Sikonja:
Data generator based on RBF network. CoRR abs/1403.7308 (2014) - [i1]Andreja Cufar, Ales Mrhar, Marko Robnik-Sikonja:
Identifying roles of clinical pharmacy with survey evaluation. CoRR abs/1406.4287 (2014) - 2013
- [j10]Marko Robnik-Sikonja, Erik Strumbelj, Igor Kononenko:
Efficiently explaining the predictions of a probabilistic radial basis function classification network. Intell. Data Anal. 17(5): 791-802 (2013) - [j9]Igor Kononenko, Erik Strumbelj, Zoran Bosnic, Darko Pevec, Matjaz Kukar, Marko Robnik-Sikonja:
Explanation and Reliability of Individual Predictions. Informatica (Slovenia) 37(1): 41-48 (2013) - 2012
- [j8]Marko Robnik-Sikonja, Igor Kononenko, Erik Strumbelj:
Quality of classification explanations with PRBF. Neurocomputing 96: 37-46 (2012) - 2011
- [c10]Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj:
Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. ICANNGA (1) 2011: 169-179
2000 – 2009
- 2009
- [j7]Erik Strumbelj, Igor Kononenko, Marko Robnik-Sikonja:
Explaining instance classifications with interactions of subsets of feature values. Data Knowl. Eng. 68(10): 886-904 (2009) - [c9]Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof:
Ordinal Evaluation: A New Perspective on Country Images. ICDM 2009: 261-275 - [c8]Erik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko:
Learning Betting Tips from Users' Bet Selections. MLDM 2009: 678-688 - [r1]Marko Robnik-Sikonja:
Context-Sensitive Attribute Evaluation. Encyclopedia of Data Warehousing and Mining 2009: 328-332 - 2008
- [j6]Petr Savický, Marko Robnik-Sikonja:
Learning Random Numbers: a MATLAB Anomaly. Appl. Artif. Intell. 22(3): 254-265 (2008) - [j5]Marko Robnik-Sikonja, Igor Kononenko:
Explaining Classifications For Individual Instances. IEEE Trans. Knowl. Data Eng. 20(5): 589-600 (2008) - 2007
- [j4]Marko Robnik-Sikonja, Koen Vanhoof:
Evaluation of ordinal attributes at value level. Data Min. Knowl. Discov. 14(2): 225-243 (2007) - 2004
- [c7]Marko Robnik-Sikonja:
Improving Random Forests. ECML 2004: 359-370 - 2003
- [j3]