Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization. - Boshko Koloski; Senja Pollak; Blaz Skrlj (CLEF (Working Notes), 2020)

Know your Neighbors: Efficient Author Profiling via Follower Tweets. - Boshko Koloski; Senja Pollak; Blaz Skrlj (CLEF (Working Notes), 2020)

Identification of COVID-19 Related Fake News via Neural Stacking. - Boshko Koloski; Timen Stepisnik Perdih; Senja Pollak; Blaz Skrlj (CONSTRAINT@AAAI, 2021)

Extending Neural Keyword Extraction with TF-IDF tagset matching. - Boshko Koloski; Senja Pollak; Blaz Skrlj; Matej Martinc (EACL (Hackashop), 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 (EACL (Hackashop), 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; et al. (EACL (Hackashop), 2021)

Early detection of depression with linear models using hand-crafted and contextual features. - Ilija Tavchioski; Blaz Skrlj; Senja Pollak; Boshko Koloski (CLEF (Working Notes), 2022)

Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction. - Blaz Skrlj; Boshko Koloski; Senja Pollak (DS, 2022)

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? - Boshko Koloski; Senja Pollak; Blaz Skrlj; Matej Martinc (LREC, 2022)

E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression. - Ilija Tavchioski; Boshko Koloski; Blaz Skrlj; Senja Pollak (LT-EDI, 2022)

Multi-task Learning for Features Extraction in Financial Annual Reports. - Syrielle Montariol; Matej Martinc; Andraz Pelicon; Senja Pollak; Boshko Koloski; Igor Loncarski; Aljosa Valentincic; Katarina Sitar Sustar; Riste Ichev; Martin Znidarsic (PKDD/ECML Workshops (2), 2022)

EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity. - Elaine Zosa; Emanuela Boros; Boshko Koloski; Lidia Pivovarova (SemEval@NAACL, 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)

Inducing Document Representations from Graphs: A Blueprint. - Boshko Koloski; Marko Pranjic; Nada Lavrac; Blaz Skrlj; Senja Pollak (Tiny Papers @ ICLR, 2023)

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies. - Boshko Koloski; Blaz Skrlj; Marko Robnik-Sikonja; Senja Pollak (CoRR, 2023)

Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data. - Boshko Koloski; Blaz Skrlj; Senja Pollak; Nada Lavrac (CoRR, 2023)

A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media. - Jaya Caporusso; Damar Hoogland; Mojca Brglez; Boshko Koloski; Matthew Purver; Senja Pollak (LREC/COLING, 2024)

AutoML-Guided Fusion of Entity and LLM-Based Representations for Document Classification. - Boshko Koloski; Senja Pollak; Roberto Navigli; Blaz Skrlj (DS (1), 2024)

AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. - Boshko Koloski; Nada Lavrac; Bojan Cestnik; Senja Pollak; Blaz Skrlj; Andrej Kastrin (IDA (1), 2024)

whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts. - Nishan Chatterjee; Marko Pranjic; Boshko Koloski; Lidia Pivovarova; Senja Pollak (SemEval@NAACL, 2024)

Multi-Task Learning for Features Extraction in Financial Annual Reports. - Syrielle Montariol; Matej Martinc; Andraz Pelicon; Senja Pollak; Boshko Koloski; Igor Loncarski; Aljosa Valentincic (CoRR, 2024)

AutoML-guided Fusion of Entity and LLM-based representations. - Boshko Koloski; Senja Pollak; Roberto Navigli; Blaz Skrlj (CoRR, 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; et al. (CoRR, 2024)

Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis. - Luka Andrensek; Boshko Koloski; Andraz Pelicon; Nada Lavrac; Senja Pollak; Matthew Purver (CoRR, 2024)

SEKE: Specialised Experts for Keyword Extraction. - Matej Martinc; Hanh Thi Hong Tran; Senja Pollak; Boshko Koloski (CoRR, 2024)

Make Literature-Based Discovery Great Again Through Reproducible Pipelines. - Bojan Cestnik; Andrej Kastrin; Boshko Koloski; Nada Lavrac (IDA, 2025)

Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies. - Boshko Koloski; Blaz Skrlj; Marko Robnik-Sikonja; Senja Pollak (IEEE Access, 2025)

LLM Embeddings for Deep Learning on Tabular Data. - Boshko Koloski; Andrei Margeloiu; Xiangjian Jiang; Blaz Skrlj; Nikola Simidjievski; Mateja Jamnik (CoRR, 2025)

HorNets: learning from discrete and continuous signals with routing neural networks. - Boshko Koloski; Nada Lavrac; Blaz Skrlj (Mach. Learn., 2025)

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies. - Blaz Skrlj; Boshko Koloski; Senja Pollak; Nada Lavrac (CoRR, 2025)

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation. - Boshko Koloski; Senja Pollak; Roberto Navigli; Blaz Skrlj (CoRR, 2025)