Marko Robnik-Sikonja
Orcid: 0000-0002-1232-3320
According to our database1,
Marko Robnik-Sikonja
authored at least 107 papers
between 1997 and 2024.
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Bibliography
2024
Data Min. Knowl. Discov., September, 2024
Intell. Data Anal., 2024
CoRR, 2024
Proceedings of the Text, Speech, and Dialogue - 27th International Conference, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Eng. Appl. Artif. Intell., April, 2023
Nat. Lang. Eng., March, 2023
Frontiers Artif. Intell., February, 2023
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies.
CoRR, 2023
CoRR, 2023
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
2022
J. Intell. Inf. Syst., 2022
Knowledge graph informed fake news classification via heterogeneous representation ensembles.
Neurocomputing, 2022
Int. J. Intell. Syst., 2022
CoRR, 2022
To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection.
Cogn. Comput., 2022
NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering.
IEEE Access, 2022
ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Selected Papers from the CLARIN Annual Conference 2022, 2022
2021
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing.
CoRR, 2021
CoRR, 2021
Comput. Linguistics, 2021
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy.
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.
Comput. Biol. Medicine, 2021
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.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021
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.
Proceedings of the Analysis of Images, Social Networks and Texts, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
CoRR, 2020
CoRR, 2020
AttViz: Online exploration of self-attention for transparent neural language modeling.
CoRR, 2020
Exploring the Relations Between Net Benefits of IT Projects and CIOs' Perception of Quality of Software Development Disciplines.
Bus. Inf. Syst. Eng., 2020
Proceedings of the Text, Speech, and Dialogue, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection.
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification.
CoRR, 2019
Proceedings of the Statistical Language and Speech Processing, 2019
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.
Proceedings of the Artificial Intelligence in Medicine, 2019
2018
Proceedings of the Human and Machine Learning, 2018
J. Comput. Sci., 2018
Correction to: Analysis of medications change in Parkinson's disease progression data.
J. Intell. Inf. Syst., 2018
J. Intell. Inf. Syst., 2018
HINMINE: heterogeneous information network mining with information retrieval heuristics.
J. Intell. Inf. Syst., 2018
Informatica (Slovenia), 2018
Symptoms and medications change patterns for Parkinson's disease patients stratification.
Artif. Intell. Medicine, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
2017
Mach. Learn., 2017
Decision-making framework with double-loop learning through interpretable black-box machine learning models.
Ind. Manag. Data Syst., 2017
Future Gener. Comput. Syst., 2017
Refinement and selection heuristics in subgroup discovery and classification rule learning.
Expert Syst. Appl., 2017
Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification.
Proceedings of the Artificial Intelligence in Medicine, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Proceedings of the 5th Symposium on Languages, Applications and Technologies, 2016
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016
2015
Int. J. Data Min. Model. Manag., 2015
Artif. Intell. Medicine, 2015
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015
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.
Proceedings of the Digital Healthcare Empowering Europeans, 2015
Integration of machine learning insights into organizational learning: A case of B2B sales forecasting.
Proceedings of the 28th Bled eConference: s#eWellBeing, 2015
2014
Handling numeric attributes with ant colony based classifier for medical decision making.
Expert Syst. Appl., 2014
2013
Efficiently explaining the predictions of a probabilistic radial basis function classification network.
Intell. Data Anal., 2013
2012
2011
Proceedings of the Adaptive and Natural Computing Algorithms, 2011
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Data Knowl. Eng., 2009
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009
2008
IEEE Trans. Knowl. Data Eng., 2008
2007
2004
2003
Artif. Intell. Medicine, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
2001
Comprehensible Interpretation of Relief's Estimates.
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.
Proceedings of the Artificial Intelligence Medicine, 2001
1999
Attribute Dependencies, Understandability and Split Selection in Tree Based Models.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999
1998
Pruning Regression Trees with MDL.
Proceedings of the 13th European Conference on Artificial Intelligence, 1998
1997
Appl. Intell., 1997
An adaptation of Relief for attribute estimation in regression.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997