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ORCIDBlaz Skrlj
Blaž Škrlj
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- unicode name: Blaž Škrlj
- affiliation: Jožef Stefan Institute, Ljubljana, Slovenia
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2020 – today
- 2026
[j33]Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj:
FuDoBa: Fusing Document and Knowledge Graph Based Representations with Bayesian Optimisation. Mach. Learn. 115(3): 61 (2026)- [i50]Kristian Miok, Matej Klemen, Blaz Skrlj, Marko Robnik-Sikonja:
Challenges in Explaining Pretrained Clinical Text Classifiers. CoRR abs/2605.28060 (2026) - 2025
- [j32]Boshko Koloski
, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak:
Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies. IEEE Access 13: 33509-33520 (2025) - [j31]Nikola Ivacic, Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac, Matthew Purver:
Extreme Multi-Label Text Classification for Less-Represented Languages and Low-Resource Environments: Advances and Lessons Learned. Mach. Learn. Knowl. Extr. 7(4): 142 (2025) - [j30]Boshko Koloski, Nada Lavrac, Blaz Skrlj:
HorNets: learning from discrete and continuous signals with routing neural networks. Mach. Learn. 114(4): 101 (2025) - [c44]Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac:
From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies. Challenges and Algorithms for Knowledge Discovery from Data 2025: 181-197 - [c43]Mark Znidar, Blaz Mramor, Natalia Silberstein, Anze Alic, Martin Jakomin, Blaz Skrlj:
Multimodal Embedding Fusion for Scalable Context-First CTR. ICDM (Workshops) 2025: 1-6 - [c42]Kristian Miok, Matej Klemen, Blaz Skrlj, Marko Robnik-Sikonja:
Challenges in Explaining Pretrained Clinical Text Classifiers. PKDD/ECML Workshops (4) 2025: 314-322 - [c41]Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja:
TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning. PKDD/ECML Workshops (4) 2025: 499-513 - [i49]Boshko Koloski, Nada Lavrac, Blaz Skrlj:
HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks. CoRR abs/2501.14346 (2025) - [i48]Boshko Koloski, Andrei Margeloiu, Xiangjian Jiang, Blaz Skrlj, Nikola Simidjievski, Mateja Jamnik:
LLM Embeddings for Deep Learning on Tabular Data. CoRR abs/2502.11596 (2025) - [i47]Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac:
From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies. CoRR abs/2506.09566 (2025) - [i46]Blaz Skrlj, Yonatan Karni, Grega Gaspersic, Blaz Mramor, Yulia Stolin, Martin Jakomin, Jasna Urbancic, Yuval Dishi, Natalia Silberstein, Ophir Friedler, Assaf Klein:
DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation. CoRR abs/2506.21624 (2025) - [i45]Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj:
FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation. CoRR abs/2507.06622 (2025) - [i44]Blaz Skrlj, Benoît Guilleminot, Andraz Tori:
Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations. CoRR abs/2507.18993 (2025) - [i43]Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja:
TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning. CoRR abs/2508.08273 (2025) - 2024
- [b1]Blaz Skrlj:
From Unimodal to Multimodal Machine Learning - An Overview. Springer Briefs in Computer Science, Springer 2024, ISBN 978-3-031-57015-5, pp. 3-55 - [c40]Blaz Skrlj, Benjamin Ben-Shalom, Grega Gaspersic, Adi Schwartz, Ramzi Hoseisi, Naama Ziporin, Davorin Kopic, Andraz Tori:
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second. AdKDD@KDD 2024 - [c39]Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj:
AutoML-Guided Fusion of Entity and LLM-Based Representations for Document Classification. DS (1) 2024: 101-115 - [c38]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 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:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. GRaM 2024: 420-428 - [c37]Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin:
AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. IDA (1) 2024: 254-265 - [c36]Miha Malensek, Blaz Skrlj, Blaz Mramor, Jure Demsar:
Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems. NORMalize@RecSys 2024 - [i42]Blaz Skrlj, Benjamin Ben-Shalom, Grega Gaspersic, Adi Schwartz, Ramzi Hoseisi, Naama Ziporin, Davorin Kopic, Andraz Tori:
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second. CoRR abs/2407.10115 (2024) - [i41]Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj:
AutoML-guided Fusion of Entity and LLM-based representations. CoRR abs/2408.09794 (2024) - [i40]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:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - [i39]Miha Malensek, Blaz Skrlj, Blaz Mramor, Jure Demsar:
Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems. CoRR abs/2412.06809 (2024) - 2023
- [j29]Blaz Skrlj, Matej Bevec, Nada Lavrac:
Multimodal AutoML via Representation Evolution. Mach. Learn. Knowl. Extr. 5(1): 1-13 (2023) - [c35]Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak:
Inducing Document Representations from Graphs: A Blueprint. Tiny Papers @ ICLR 2023 - [c34]Blaz Skrlj, Nir Ki-Tov, Lee Edelist, Natalia Silberstein, Hila Weisman-Zohar, Blaz Mramor, Davorin Kopic, Naama Ziporin:
Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems. ORSUM@RecSys 2023 - [c33]Blaz Skrlj, Blaz Mramor:
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking. RecSys 2023: 1078-1083 - [i38]Jan Kralj, Blaz Skrlj, Ziva Ramsak, Nada Lavrac, Kristina Gruden:
DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks. CoRR abs/2302.03907 (2023) - [i37]Blaz Skrlj, Blaz Mramor:
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking. CoRR abs/2309.01552 (2023) - [i36]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) - [i35]Blaz Skrlj, Nir Ki-Tov, Lee Edelist, Natalia Silberstein, Hila Weisman-Zohar, Blaz Mramor, Davorin Kopic, Naama Ziporin:
Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems. CoRR abs/2309.08617 (2023) - [i34]Boshko Koloski, Blaz Skrlj, Senja Pollak, Nada Lavrac:
Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data. CoRR abs/2309.15757 (2023) - [i33]Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin:
AHAM: Adapt, Help, Ask, Model - Harvesting LLMs for literature mining. CoRR abs/2312.15784 (2023) - 2022
- [j28]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) - [j27]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) - [j26]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) - [j25]Janez Konc, Samo Lesnik, Blaz Skrlj, Matej Sova, Matic Proj, Damijan Knez, Stanislav Gobec, Dusanka Janezic:
ProBiS-Dock: A Hybrid Multitemplate Homology Flexible Docking Algorithm Enabled by Protein Binding Site Comparison. J. Chem. Inf. Model. 62(6): 1573-1584 (2022) - [j24]Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski:
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251: 109254 (2022) - [j23]Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj:
Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation. Mach. Learn. Knowl. Extr. 4(4): 1107-1123 (2022) - [j22]Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. Mach. Learn. 111(1): 273-317 (2022) - [j21]Matej Martinc, Blaz Skrlj, Senja Pollak:
TNT-KID: Transformer-based neural tagger for keyword identification. Nat. Lang. Eng. 28(4): 409-448 (2022) - [c32]Ilija Tavchioski, Blaz Skrlj, Senja Pollak, Boshko Koloski:
Early detection of depression with linear models using hand-crafted and contextual features. CLEF (Working Notes) 2022: 1005-1013 - [c31]Blaz Skrlj, Boshko Koloski, Senja Pollak:
Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction. DS 2022: 379-393 - [c30]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? LREC 2022: 400-409 - [c29]Ilija Tavchioski, Boshko Koloski, Blaz Skrlj, Senja Pollak:
E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression. LT-EDI 2022: 251-257 - [c28]Blaz Skrlj, Adi Schwartz, Jure Ferlez, Davorin Kopic, Naama Ziporin:
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations. RecSys 2022: 472-475 - [i32]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? CoRR abs/2202.06650 (2022) - [i31]Blaz Skrlj, Boshko Koloski, Senja Pollak:
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction. CoRR abs/2208.07262 (2022) - [i30]Blaz Skrlj, Adi Schwartz, Jure Ferlez, Davorin Kopic, Naama Ziporin:
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations. CoRR abs/2209.14598 (2022) - 2021
- [j20]Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski:
Fuzzy Jaccard Index: A robust comparison of ordered lists. Appl. Soft Comput. 113(Part): 107849 (2021) - [j19]Blaz Skrlj, Nika Erzen, Nada Lavrac, Tanja Kunej, Janez Konc:
CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets. Bioinform. 37(6): 885-887 (2021) - [j18]Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev:
A comprehensive comparison of molecular feature representations for use in predictive modeling. Comput. Biol. Medicine 130: 104197 (2021) - [j17]Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
Transfer Learning for Node Regression Applied to Spreading Prediction. Complex Syst. 30(4): 457-481 (2021) - [j16]Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. Comput. Speech Lang. 65: 101104 (2021) - [j15]Blaz Skrlj, Enja Kokalj, Nada Lavrac:
PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks. Frontiers Res. Metrics Anal. 6: 644614 (2021) - [j14]Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski:
Ensemble- and distance-based feature ranking for unsupervised learning. Int. J. Intell. Syst. 36(7): 3068-3086 (2021) - [j13]Janez Konc, Samo Lesnik, Blaz Skrlj, Dusanka Janezic:
ProBiS-Dock Database: A Web Server and Interactive Web Repository of Small Ligand-Protein Binding Sites for Drug Design. J. Chem. Inf. Model. 61(8): 4097-4107 (2021) - [j12]Blaz Skrlj, Matej Martinc, Nada Lavrac, Senja Pollak:
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification. Mach. Learn. 110(5): 989-1028 (2021) - [j11]Andraz Pelicon, Ravi Shekhar, Blaz Skrlj, Matthew Purver, Senja Pollak:
Investigating cross-lingual training for offensive language detection. PeerJ Comput. Sci. 7: e559 (2021) - [c27]Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
Identification of COVID-19 Related Fake News via Neural Stacking. CONSTRAINT@AAAI 2021: 177-188 - [c26]Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac:
Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning. DS 2021: 204-217 - [c25]Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic:
Unsupervised Feature Ranking via Attribute Networks. DS 2021: 334-343 - [c24]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 - [c23]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. EACL (Hackashop) 2021: 22-29 - [c22]Andraz Pelicon, Ravi Shekhar, Matej Martinc, Blaz Skrlj, Matthew Purver, Senja Pollak:
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection. EACL (Hackashop) 2021: 30-34 - [c21]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 - [c20]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 - [c19]Boshko Koloski, Elaine Zosa, Timen Stepisnik Perdih, Blaz Skrlj, Tarmo Paju, Senja Pollak:
Interesting cross-border news discovery using cross-lingual article linking and document similarity. EACL (Hackashop) 2021: 116-120 - [c18]Blaz Skrlj, Matej Petkovic:
Compressibility of Distributed Document Representations. ICDM 2021: 1330-1335 - [c17]Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification. WWW (Companion Volume) 2021: 298-301 - [i29]Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
Identification of COVID-19 related Fake News via Neural Stacking. CoRR abs/2101.03988 (2021) - [i28]Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. CoRR abs/2101.09577 (2021) - [i27]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. CoRR abs/2102.00472 (2021) - [i26]Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
Transfer Learning for Node Regression Applied to Spreading Prediction. CoRR abs/2104.00088 (2021) - [i25]Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification. CoRR abs/2106.09230 (2021) - [i24]Timen Stepisnik Perdih, Nada Lavrac, Blaz Skrlj:
Semantic Reasoning from Model-Agnostic Explanations. CoRR abs/2106.15433 (2021) - [i23]Blaz Skrlj, Matej Petkovic:
Compressibility of Distributed Document Representations. CoRR abs/2110.07595 (2021) - [i22]Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac:
Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning. CoRR abs/2110.08874 (2021) - [i21]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) - [i20]Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj:
Link Analysis meets Ontologies: Are Embeddings the Answer? CoRR abs/2111.11710 (2021) - [i19]Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic:
Unsupervised Feature Ranking via Attribute Networks. CoRR abs/2111.13273 (2021) - 2020
- [j10]Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. IEEE Access 8: 212568-212588 (2020) - [j9]Blaz Skrlj, Benjamin Renoust:
Layer entanglement in multiplex, temporal multiplex, and coupled multilayer networks. Appl. Netw. Sci. 5(1): 89 (2020) - [j8]Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja:
Propositionalization and embeddings: two sides of the same coin. Mach. Learn. 109(7): 1465-1507 (2020) - [j7]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Embedding-based Silhouette community detection. Mach. Learn. 109(11): 2161-2193 (2020) - [c16]Boshko Koloski, Senja Pollak, Blaz Skrlj:
Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization. CLEF (Working Notes) 2020 - [c15]Boshko Koloski, Senja Pollak, Blaz Skrlj:
Know your Neighbors: Efficient Author Profiling via Follower Tweets. CLEF (Working Notes) 2020 - [c14]Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
Prediction of the Effects of Epidemic Spreading with Graph Neural Networks. COMPLEX NETWORKS (1) 2020: 420-431 - [c13]Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak:
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining. DS 2020: 109-123 - [c12]Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
Feature Importance Estimation with Self-Attention Networks. ECAI 2020: 1491-1498 - [i18]Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
Feature Importance Estimation with Self-Attention Networks. CoRR abs/2002.04464 (2020) - [i17]Matej Martinc, Blaz Skrlj, Senja Pollak:
TNT-KID: Transformer-based Neural Tagger for Keyword Identification. CoRR abs/2003.09166 (2020) - [i16]Blaz Skrlj, Benjamin Renoust:
Layer entanglement in multiplex, temporal multiplex, and coupled multilayer networks. CoRR abs/2004.01534 (2020) - [i15]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) - [i14]Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja:
Propositionalization and Embeddings: Two Sides of the Same Coin. CoRR abs/2006.04410 (2020) - [i13]Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak:
COVID-19 therapy target discovery with context-aware literature mining. CoRR abs/2007.15681 (2020) - [i12]Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski:
Fuzzy Jaccard Index: A robust comparison of ordered lists. CoRR abs/2008.02216 (2020) - [i11]Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. CoRR abs/2009.04535 (2020) - [i10]Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski:
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. CoRR abs/2011.11679 (2020) - [i9]Sebastian Meznar, Blaz Skrlj:
Predicting Generalization in Deep Learning via Metric Learning - PGDL Shared task. CoRR abs/2012.09117 (2020)
2010 – 2019
- 2019
- [j6]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Py3plex toolkit for visualization and analysis of multilayer networks. Appl. Netw. Sci. 4(1): 94:1-94:24 (2019) - [j5]Blaz Skrlj, Jan Kralj, Nada Lavrac:
CBSSD: community-based semantic subgroup discovery. J. Intell. Inf. Syst. 53(2): 265-304 (2019) - [j4]Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak:
Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture. Mach. Learn. Knowl. Extr. 1(2): 575-589 (2019) - [c11]Matej Martinc, Blaz Skrlj, Senja Pollak:
Who is Hot and Who is Not? Profiling Celebs on Twitter. CLEF (Working Notes) 2019 - [c10]Matej Martinc, Blaz Skrlj, Senja Pollak:
Fake or Not: Distinguishing between Bots, Males and Females. CLEF (Working Notes) 2019 - [c9]Blaz Skrlj, Benjamin Renoust:
Patterns of Multiplex Layer Entanglement Across Real and Synthetic Networks. COMPLEX NETWORKS (2) 2019: 671-683 - [c8]Blaz Skrlj, Nada Lavrac, Jan Kralj:
Symbolic Graph Embedding Using Frequent Pattern Mining. DS 2019: 261-275 - [c7]Blaz Skrlj, Senja Pollak:
Language Comparison via Network Topology. SLSP 2019: 112-123 - [c6]Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja:
Prediction Uncertainty Estimation for Hate Speech Classification. SLSP 2019: 286-298 - [c5]Blaz Skrlj, Andraz Repar, Senja Pollak:
RaKUn: Rank-based Keyword Extraction via Unsupervised Learning and Meta Vertex Aggregation. SLSP 2019: 311-323 - [i8]Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. CoRR abs/1902.00438 (2019) - [i7]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) - [i6]Blaz Skrlj, Andraz Repar, Senja Pollak:
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation. CoRR abs/1907.06458 (2019) - [i5]Blaz Skrlj, Senja Pollak:
Language comparison via network topology. CoRR abs/1907.06944 (2019) - [i4]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Embedding-based Silhouette Community Detection. CoRR abs/1908.02556 (2019) - [i3]Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja:
Prediction Uncertainty Estimation for Hate Speech Classification. CoRR abs/1909.07158 (2019) - [i2]Blaz Skrlj, Benjamin Renoust:
Patterns of Multiplex Layer Entanglement across Real and Synthetic Networks. CoRR abs/1910.05300 (2019) - [i1]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Symbolic Graph Embedding using Frequent Pattern Mining. CoRR abs/1910.13314 (2019) - 2018
- [c4]Matej Martinc, Blaz Skrlj, Senja Pollak:
Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c3]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization. COMPLEX NETWORKS (1) 2018: 757-768 - [c2]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Targeted End-to-End Knowledge Graph Decomposition. ILP 2018: 157-171 - 2017
- [j3]Samo Lesnik, Blaz Skrlj, Nika Erzen, Urban Bren, Stanislav Gobec, Janez Konc, Dusanka Janezic:
BoBER: web interface to the base of bioisosterically exchangeable replacements. J. Cheminformatics 9(1): 62:1-62:8 (2017) - [j2]Janez Konc, Blaz Skrlj, Nika Erzen, Tanja Kunej, Dusanka Janezic:
GenProBiS: web server for mapping of sequence variants to protein binding sites. Nucleic Acids Res. 45(Webserver-Issue): W253-W259 (2017) - [c1]Blaz Skrlj, Jan Kralj, Anze Vavpetic, Nada Lavrac:
Community-Based Semantic Subgroup Discovery. NFMCP@PKDD/ECML 2017: 182-196 - 2016
- [j1]Blaz Skrlj, Tanja Kunej:
Computational identification of non-synonymous polymorphisms within regions corresponding to protein interaction sites. Comput. Biol. Medicine 79: 30-35 (2016)
Coauthor Index
[j33] [j32] [j31] [c44] [i47] [i45] [c39] [c37] [i41] [c35] [i36] [i34] [i33] [j26] [j21] [c32] [c31] [c30] [c29] [i32] [i31] [j16] [j12] [j11] [c27] [c26] [c24] [c23] [c22] [c21] [c20] [c19] [c17] [i29] [i27] [i25] [i22] [i21] [c16] [c15] [c13] [i17] [i15] [i13] [j4] [c11] [c10] [c7] [c5] [i8] [i6] [i5] [c4]
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