Boshko Koloski

48 papers B 3Journal 27Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
FuDoBa: Fusing Document and Knowledge Graph Based Representations with Bayesian Optimisation.
Mach. Learn.
Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj
2026 J jnl
HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification.
CoRR
Marjan Stoimchev, Boshko Koloski, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2026 J jnl
Incremental Graph Construction Enables Robust Spectral Clustering of Texts.
CoRR
Marko Pranjic, Boshko Koloski, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja
2026 J jnl
MAPLE: Multi-Path Adaptive Propagation with Level-Aware Embeddings for Hierarchical Multi-Label Image Classification.
CoRR
Boshko Koloski, Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2025 J jnl
Extreme Multi-Label Text Classification for Less-Represented Languages and Low-Resource Environments: Advances and Lessons Learned.
Mach. Learn. Knowl. Extr.
Nikola Ivacic, Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac, Matthew Purver
2025 — conf
From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies.
Challenges and Algorithms for Knowledge Discovery from Data
Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac
2025 J jnl
From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies.
CoRR
Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac
2025 J jnl
FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation.
CoRR
Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj
2025 J jnl
HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks.
CoRR
Boshko Koloski, Nada Lavrac, Blaz Skrlj
2025 J jnl
HorNets: learning from discrete and continuous signals with routing neural networks.
Mach. Learn.
Boshko Koloski, Nada Lavrac, Blaz Skrlj
2025 J jnl
LLM Embeddings for Deep Learning on Tabular Data.
CoRR
Boshko Koloski, Andrei Margeloiu, Xiangjian Jiang, Blaz Skrlj, Nikola Simidjievski, Mateja Jamnik
2025 B conf
Make Literature-Based Discovery Great Again Through Reproducible Pipelines.
IDA
Bojan Cestnik, Andrej Kastrin, Boshko Koloski, Nada Lavrac
2025 J jnl
Make Literature-Based Discovery Great Again through Reproducible Pipelines.
CoRR
Bojan Cestnik, Andrej Kastrin, Boshko Koloski, Nada Lavrac
2025 J jnl
Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies.
IEEE Access
Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak
2025 — conf
SEKE: Specialised Experts for Keyword Extraction.
EMNLP (Findings)
Matej Martinc, Tran Thi Hong Hanh, Senja Pollak, Boshko Koloski
2024 — conf
A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media.
LREC/COLING
Jaya Caporusso, Damar Hoogland, Mojca Brglez, Boshko Koloski, Matthew Purver, Senja Pollak
2024 J jnl
A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media.
CoRR
Jaya Caporusso, Damar Hoogland, Mojca Brglez, Boshko Koloski, Matthew Purver, Senja Pollak
2024 — conf
AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining.
IDA (1)
Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin
2024 — conf
AutoML-Guided Fusion of Entity and LLM-Based Representations for Document Classification.
DS (1)
Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj
2024 J jnl
AutoML-guided Fusion of Entity and LLM-based representations.
CoRR
Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj
2024 J jnl
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis.
CoRR
Luka Andrensek, Boshko Koloski, Andraz Pelicon, Nada Lavrac, Senja Pollak, Matthew Purver
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
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
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
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
2024 J jnl
Multi-Task Learning for Features Extraction in Financial Annual Reports.
CoRR
Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic
2024 J jnl
SEKE: Specialised Experts for Keyword Extraction.
CoRR
Matej Martinc, Hanh Thi Hong Tran, Senja Pollak, Boshko Koloski
2024 — conf
whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts.
SemEval@NAACL
Nishan Chatterjee, Marko Pranjic, Boshko Koloski, Lidia Pivovarova, Senja Pollak
2023 J jnl
AHAM: Adapt, Help, Ask, Model - Harvesting LLMs for literature mining.
CoRR
Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin
2023 — conf
Inducing Document Representations from Graphs: A Blueprint.
Tiny Papers @ ICLR
Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak
2023 J jnl
Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data.
CoRR
Boshko Koloski, Blaz Skrlj, Senja Pollak, Nada Lavrac
2023 J jnl
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies.
CoRR
Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak
2022 — conf
E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression.
LT-EDI
Ilija Tavchioski, Boshko Koloski, Blaz Skrlj, Senja Pollak
2022 — conf
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity.
SemEval@NAACL
Elaine Zosa, Emanuela Boros, Boshko Koloski, Lidia Pivovarova
2022 — conf
Early detection of depression with linear models using hand-crafted and contextual features.
CLEF (Working Notes)
Ilija Tavchioski, Blaz Skrlj, Senja Pollak, Boshko Koloski
2022 J jnl
Knowledge graph informed fake news classification via heterogeneous representation ensembles.
Neurocomputing
Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj
2022 — conf
Multi-task Learning for Features Extraction in Financial Annual Reports.
PKDD/ECML Workshops (2)
Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic, Katarina Sitar Sustar, Riste Ichev, Martin Znidarsic
2022 B conf
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?
LREC
Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc
2022 J jnl
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?
CoRR
Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc
2022 B conf
Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction.
DS
Blaz Skrlj, Boshko Koloski, Senja Pollak
2022 J jnl
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction.
CoRR
Blaz Skrlj, Boshko Koloski, Senja Pollak
2021 — conf
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions.
EACL (Hackashop)
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
2021 — conf
Extending Neural Keyword Extraction with TF-IDF tagset matching.
EACL (Hackashop)
Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc
2021 J jnl
Extending Neural Keyword Extraction with TF-IDF tagset matching.
CoRR
Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc
2021 — conf
Identification of COVID-19 Related Fake News via Neural Stacking.
CONSTRAINT@AAAI
Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj
2021 J jnl
Identification of COVID-19 related Fake News via Neural Stacking.
CoRR
Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj
2021 — conf
Interesting cross-border news discovery using cross-lingual article linking and document similarity.
EACL (Hackashop)
Boshko Koloski, Elaine Zosa, Timen Stepisnik Perdih, Blaz Skrlj, Tarmo Paju, Senja Pollak
2021 J jnl
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles.
CoRR
Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj
2020 — conf
Know your Neighbors: Efficient Author Profiling via Follower Tweets.
CLEF (Working Notes)
Boshko Koloski, Senja Pollak, Blaz Skrlj
2020 — conf
Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization.
CLEF (Working Notes)
Boshko Koloski, Senja Pollak, Blaz Skrlj