Marko Robnik-Sikonja
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
9
Active years
1997–2024
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | COLING | SI-NLI: A Slovene Natural Language Inference Dataset and Its Evaluation. | Matej Klemen, Ales Zagar, Jaka Cibej, Marko Robnik-Sikonja |
| 2024 | COLING | LLMSegm: Surface-level Morphological Segmentation Using Large Language Model. | Marko Pranjic, Marko Robnik-Sikonja, Senja Pollak |
| 2024 | COLING | SENTA: Sentence Simplification System for Slovene. | Ales Zagar, Matej Klemen, Marko Robnik-Sikonja, Iztok Kosem |
| 2022 | LREC | 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 |
| 2022 | LREC | Slovene SuperGLUE Benchmark: Translation and Evaluation. | Ales Zagar, Marko Robnik-Sikonja |
| 2021 | AIME | Stratification of Parkinson's Disease Patients via Multi-view Clustering. | Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja |
| 2021 | AIST | Training Dataset and Dictionary Sizes Matter in BERT Models: The Case of Baltic Languages. | Matej Ulcar, Marko Robnik-Sikonja |
| 2021 | EACL | BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. | Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja |
| 2021 | EACL | 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 Leppnen, Elaine Zosa, Matej Ulcar, Linda Freienthal, Silver Traat, Luis Adrin Cabrera-Diego, Matej Martinc, Nada Lavrac, Blaz Skrlj, Martin Znidarsic, Andraz Pelicon, Boshko Koloski, Vid Podpecan, Janez Kranjc, Shane Sheehan, Emanuela Boros, Jos G. Moreno, Antoine Doucet, Hannu Toivonen |
| 2021 | EACL | 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 |
| 2021 | EACL | Unsupervised Approach to Multilingual User Comments Summarization. | Ales Zagar, Marko Robnik-Sikonja |
| 2020 | AIME | Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. | Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja |
| 2020 | LREC | High Quality ELMo Embeddings for Seven Less-Resourced Languages. | Matej Ulcar, Marko Robnik-Sikonja |
| 2020 | LREC | Multilingual Culture-Independent Word Analogy Datasets. | Matej Ulcar, Kristiina Vaik, Jessica Lindstrm, Milda Dailidenaite, Marko Robnik-Sikonja |
| 2019 | AIME | Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. | Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac |
| 2018 | DIS | Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns. | Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac |
| 2017 | AIME | 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 |
| 2015 | PAKDD | Mining Text Enriched Heterogeneous Citation Networks. | Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac |
| 2001 | AIME | Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. | Marko Robnik-Sikonja, David Cukjati, Igor Kononenko |
| 2001 | ICML | Comprehensible Interpretation of Relief's Estimates. | Marko Robnik-Sikonja, Igor Kononenko |
| 1999 | ICML | Attribute Dependencies, Understandability and Split Selection in Tree Based Models. | Marko Robnik-Sikonja, Igor Kononenko |
| 1998 | ECAI | Pruning Regression Trees with MDL. | Marko Robnik-Sikonja, Igor Kononenko |
| 1997 | ICML | An adaptation of Relief for attribute estimation in regression. | Marko Robnik-Sikonja, Igor Kononenko |