Blaz Skrlj

According to our database, Blaz Skrlj authored at least 77 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Unimodal to Multimodal Machine Learning - An Overview

Blaz Skrlj

Springer Briefs in Computer Science, Springer, ISBN: 978-3-031-57015-5, 2024

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.

Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane

CoRR, 2024

AutoML-guided Fusion of Entity and LLM-based representations.

Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj

CoRR, 2024

A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second.

Blaz Skrlj, Benjamin Ben-Shalom, Grega Gaspersic, Adi Schwartz, Ramzi Hoseisi, Naama Ziporin, Davorin Kopic, Andraz Tori

CoRR, 2024

AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining.

Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

Multimodal AutoML via Representation Evolution.

Blaz Skrlj, Matej Bevec, Nada Lavrac

Mach. Learn. Knowl. Extr., March, 2023

Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data.

Boshko Koloski, Blaz Skrlj, Senja Pollak, Nada Lavrac

CoRR, 2023

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies.

Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak

CoRR, 2023

DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks.

Jan Kralj, Blaz Skrlj, Ziva Ramsak, Nada Lavrac, Kristina Gruden

CoRR, 2023

OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking.

Blaz Skrlj, Blaz Mramor

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems.

Blaz Skrlj, Nir Ki-Tov, Lee Edelist, Natalia Silberstein, Hila Weisman-Zohar, Blaz Mramor, Davorin Kopic, Naama Ziporin

Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Inducing Document Representations from Graphs: A Blueprint.

Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation.

Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj

Mach. Learn. Knowl. Extr., December, 2022

TNT-KID: Transformer-based neural tagger for keyword identification.

Matej Martinc, Blaz Skrlj, Senja Pollak

Nat. Lang. Eng., 2022

ReliefE: feature ranking in high-dimensional spaces via manifold embeddings.

Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic

Mach. Learn., 2022

Relational tree ensembles and feature rankings.

Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski

Knowl. Based Syst., 2022

ProBiS-Dock: A Hybrid Multitemplate Homology Flexible Docking Algorithm Enabled by Protein Binding Site Comparison.

Janez Konc, Samo Lesnik, Blaz Skrlj, Matej Sova, Matic Proj, Damijan Knez, Stanislav Gobec, Dusanka Janezic

J. Chem. Inf. Model., 2022

Knowledge graph informed fake news classification via heterogeneous representation ensembles.

Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj

Neurocomputing, 2022

Deep node ranking for neuro-symbolic structural node embedding and classification.

Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac

Int. J. Intell. Syst., 2022

To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection.

Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja

Cogn. Comput., 2022

Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations.

Blaz Skrlj, Adi Schwartz, Jure Ferlez, Davorin Kopic, Naama Ziporin

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression.

Ilija Tavchioski, Boshko Koloski, Blaz Skrlj, Senja Pollak

Proceedings of the Second Workshop on Language Technology for Equality, 2022

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?

Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction.

Blaz Skrlj, Boshko Koloski, Senja Pollak

Proceedings of the Discovery Science - 25th International Conference, 2022

Early detection of depression with linear models using hand-crafted and contextual features.

Ilija Tavchioski, Blaz Skrlj, Senja Pollak, Boshko Koloski

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Investigating cross-lingual training for offensive language detection.

Andraz Pelicon, Ravi Shekhar, Blaz Skrlj, Matthew Purver, Senja Pollak

PeerJ Comput. Sci., 2021

autoBOT: evolving neuro-symbolic representations for explainable low resource text classification.

Blaz Skrlj, Matej Martinc, Nada Lavrac, Senja Pollak

Mach. Learn., 2021

ProBiS-Dock Database: A Web Server and Interactive Web Repository of Small Ligand-Protein Binding Sites for Drug Design.

Janez Konc, Samo Lesnik, Blaz Skrlj, Dusanka Janezic

J. Chem. Inf. Model., 2021

Ensemble- and distance-based feature ranking for unsupervised learning.

Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski

Int. J. Intell. Syst., 2021

PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks.

Blaz Skrlj, Enja Kokalj, Nada Lavrac

Frontiers Res. Metrics Anal., 2021

tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification.

Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak

Comput. Speech Lang., 2021

Link Analysis meets Ontologies: Are Embeddings the Answer?

Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj

CoRR, 2021

Semantic Reasoning from Model-Agnostic Explanations.

Timen Stepisnik Perdih, Nada Lavrac, Blaz Skrlj

CoRR, 2021

Transfer Learning for Node Regression Applied to Spreading Prediction.

Sebastian Meznar, Nada Lavrac, Blaz Skrlj

Complex Syst., 2021

A comprehensive comparison of molecular feature representations for use in predictive modeling.

Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev

Comput. Biol. Medicine, 2021

CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets.

Blaz Skrlj, Nika Erzen, Nada Lavrac, Tanja Kunej, Janez Konc

Bioinform., 2021

Fuzzy Jaccard Index: A robust comparison of ordered lists.

Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski

Appl. Soft Comput., 2021

JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification.

Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj

Proceedings of the Companion of The Web Conference 2021, 2021

Compressibility of Distributed Document Representations.

Blaz Skrlj, Matej Petkovic

Proceedings of the IEEE International Conference on Data Mining, 2021

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

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

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 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

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection.

Andraz Pelicon, Ravi Shekhar, Matej Martinc, Blaz Skrlj, Matthew Purver, Senja Pollak

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Interesting cross-border news discovery using cross-lingual article linking and document similarity.

Boshko Koloski, Elaine Zosa, Timen Stepisnik Perdih, Blaz Skrlj, Tarmo Paju, Senja Pollak

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Extending Neural Keyword Extraction with TF-IDF tagset matching.

Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers.

Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning.

Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac

Proceedings of the Discovery Science - 24th International Conference, 2021

Unsupervised Feature Ranking via Attribute Networks.

Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic

Proceedings of the Discovery Science - 24th International Conference, 2021

Identification of COVID-19 Related Fake News via Neural Stacking.

Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj

Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020

Embedding-based Silhouette community detection.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Mach. Learn., 2020

Propositionalization and embeddings: two sides of the same coin.

Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja

Mach. Learn., 2020

Predicting Generalization in Deep Learning via Metric Learning - PGDL Shared task.

Sebastian Meznar, Blaz Skrlj

CoRR, 2020

AttViz: Online exploration of self-attention for transparent neural language modeling.

Blaz Skrlj, Nika Erzen, Shane Sheehan, Saturnino Luz, Marko Robnik-Sikonja, Senja Pollak

CoRR, 2020

Layer entanglement in multiplex, temporal multiplex, and coupled multilayer networks.

Blaz Skrlj, Benjamin Renoust

Appl. Netw. Sci., 2020

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations.

Sebastian Meznar, Nada Lavrac, Blaz Skrlj

IEEE Access, 2020

Feature Importance Estimation with Self-Attention Networks.

Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

COVID-19 Therapy Target Discovery with Context-Aware Literature Mining.

Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak

Proceedings of the Discovery Science - 23rd International Conference, 2020

Prediction of the Effects of Epidemic Spreading with Graph Neural Networks.

Sebastian Meznar, Nada Lavrac, Blaz Skrlj

Proceedings of the Complex Networks & Their Applications IX, 2020

Know your Neighbors: Efficient Author Profiling via Follower Tweets.

Boshko Koloski, Senja Pollak, Blaz Skrlj

Proceedings of the Working Notes of CLEF 2020, 2020

Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization.

Boshko Koloski, Senja Pollak, Blaz Skrlj

Proceedings of the Working Notes of CLEF 2020, 2020

2019

Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture.

Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak

Mach. Learn. Knowl. Extr., 2019

CBSSD: community-based semantic subgroup discovery.

Blaz Skrlj, Jan Kralj, Nada Lavrac

J. Intell. Inf. Syst., 2019

Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification.

Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac

CoRR, 2019

Py3plex toolkit for visualization and analysis of multilayer networks.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Appl. Netw. Sci., 2019

RaKUn: Rank-based Keyword Extraction via Unsupervised Learning and Meta Vertex Aggregation.

Blaz Skrlj, Andraz Repar, Senja Pollak

Proceedings of the Statistical Language and Speech Processing, 2019

Language Comparison via Network Topology.

Blaz Skrlj, Senja Pollak

Proceedings of the Statistical Language and Speech Processing, 2019

Prediction Uncertainty Estimation for Hate Speech Classification.

Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja

Proceedings of the Statistical Language and Speech Processing, 2019

Symbolic Graph Embedding Using Frequent Pattern Mining.

Blaz Skrlj, Nada Lavrac, Jan Kralj

Proceedings of the Discovery Science - 22nd International Conference, 2019

Patterns of Multiplex Layer Entanglement Across Real and Synthetic Networks.

Blaz Skrlj, Benjamin Renoust

Proceedings of the Complex Networks and Their Applications VIII, 2019

Fake or Not: Distinguishing between Bots, Males and Females.

Matej Martinc, Blaz Skrlj, Senja Pollak

Proceedings of the Working Notes of CLEF 2019, 2019

Who is Hot and Who is Not? Profiling Celebs on Twitter.

Matej Martinc, Blaz Skrlj, Senja Pollak

Proceedings of the Working Notes of CLEF 2019, 2019

2018

Targeted End-to-End Knowledge Graph Decomposition.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Proceedings of the Complex Networks and Their Applications VII, 2018

Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018.

Matej Martinc, Blaz Skrlj, Senja Pollak

Proceedings of the Working Notes of CLEF 2018, 2018

2017

GenProBiS: web server for mapping of sequence variants to protein binding sites.

Janez Konc, Blaz Skrlj, Nika Erzen, Tanja Kunej, Dusanka Janezic

Nucleic Acids Res., 2017

BoBER: web interface to the base of bioisosterically exchangeable replacements.

Samo Lesnik, Blaz Skrlj, Nika Erzen, Urban Bren, Stanislav Gobec, Janez Konc, Dusanka Janezic

J. Cheminformatics, 2017

Community-Based Semantic Subgroup Discovery.

Blaz Skrlj, Jan Kralj, Anze Vavpetic, Nada Lavrac

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

2016

Computational identification of non-synonymous polymorphisms within regions corresponding to protein interaction sites.

Blaz Skrlj, Tanja Kunej

Comput. Biol. Medicine, 2016