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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
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
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
NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering. IEEE Access 10: 10880-10897 (2022) - [j39]Kristian Miok
To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection. Cogn. Comput. 14(1): 353-371 (2022) - [j38]Blaz Skrlj
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
MICE: Mining Idioms with Contextual Embeddings. Knowl. Based Syst. 235: 107606 (2022) - [j34]Matej Ulcar
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
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
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
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
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
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
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
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
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
Generating Data using Monte Carlo Dropout. ICCP 2019: 509-515 - [c19]Kristian Miok
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
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
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
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
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
Refinement and selection heuristics in subgroup discovery and classification rule learning. Expert Syst. Appl. 81: 147-162 (2017) - [j18]Janez Kranjc
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
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
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
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
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
Quality of classification explanations with PRBF. Neurocomputing 96: 37-46 (2012) - 2011
- [c10]Marko Robnik-Sikonja
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
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
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]Marko Robnik-Sikonja
Comprehensible evaluation of prognostic factors and prediction of wound healing. Artif. Intell. Medicine 29(1-2): 25-38 (2003) - [j2]Marko Robnik-Sikonja
Theoretical and Empirical Analysis of ReliefF and RReliefF. Mach. Learn. 53(1-2): 23-69 (2003) - [c6]Marko Robnik-Sikonja:
Experiments with Cost-Sensitive Feature Evaluation. ECML 2003: 325-336 - 2001
- [c5]Marko Robnik-Sikonja, David Cukjati, Igor Kononenko:
Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. AIME 2001: 77-87 - [c4]Marko Robnik-Sikonja, Igor Kononenko:
Comprehensible Interpretation of Relief's Estimates. ICML 2001: 433-440
1990 – 1999
- 1999
- [c3]Marko Robnik-Sikonja, Igor Kononenko:
Attribute Dependencies, Understandability and Split Selection in Tree Based Models. ICML 1999: 344-353 - 1998
- [c2]Marko Robnik-Sikonja, Igor Kononenko:
Pruning Regression Trees with MDL. ECAI 1998: 455-459 - 1997
- [j1]Igor Kononenko, Edvard Simec, Marko Robnik-Sikonja:
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF. Appl. Intell. 7(1): 39-55 (1997) - [c1]Marko Robnik-Sikonja, Igor Kononenko:
An adaptation of Relief for attribute estimation in regression. ICML 1997: 296-304
Coauthor Index
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