Boshko Koloski

Orcid: 0000-0002-7330-0579

According to our database1, Boshko Koloski authored at least 40 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Environmental, Social and Governance Sentiment Analysis on Slovene News: A Novel Dataset and Models.
CoRR, April, 2026

Multilingual Cognitive Impairment Detection in the Era of Foundation Models.
CoRR, April, 2026

FuDoBa: Fusing Document and Knowledge Graph Based Representations with Bayesian Optimisation.
Mach. Learn., March, 2026

MAPLE: Multi-Path Adaptive Propagation with Level-Aware Embeddings for Hierarchical Multi-Label Image Classification.
CoRR, March, 2026

HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification.
CoRR, March, 2026

Incremental Graph Construction Enables Robust Spectral Clustering of Texts.
CoRR, March, 2026

Fully- and semi-supervised hierarchical multi-label image classification with graph learning.
Inf. Sci., 2026

2025
HorNets: learning from discrete and continuous signals with routing neural networks.
Mach. Learn., April, 2025

LLM Embeddings for Deep Learning on Tabular Data.
CoRR, February, 2025

Extreme Multi-Label Text Classification for Less-Represented Languages and Low-Resource Environments: Advances and Lessons Learned.
Mach. Learn. Knowl. Extr., 2025

Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies.
IEEE Access, 2025

Evaluation of Knowledge Graph Construction Methods on the Stroke Domain.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Make Literature-Based Discovery Great Again Through Reproducible Pipelines.
Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025

SEKE: Specialised Experts for Keyword Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies.
Proceedings of the Challenges and Algorithms for Knowledge Discovery from Data, 2025

2024
SEKE: Specialised Experts for Keyword Extraction.
CoRR, 2024

Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis.
CoRR, 2024

AutoML-guided Fusion of Entity and LLM-based representations.
CoRR, 2024

Multi-Task Learning for Features Extraction in Financial Annual Reports.
CoRR, 2024

whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024


AutoML-Guided Fusion of Entity and LLM-Based Representations for Document Classification.
Proceedings of the Discovery Science - 27th International Conference, 2024

A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data.
CoRR, 2023

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies.
CoRR, 2023

Inducing Document Representations from Graphs: A Blueprint.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Knowledge graph informed fake news classification via heterogeneous representation ensembles.
Neurocomputing, 2022

EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Multi-task Learning for Features Extraction in Financial Annual Reports.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression.
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?
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction.
Proceedings of the Discovery Science - 25th International Conference, 2022

Early detection of depression with linear models using hand-crafted and contextual features.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Interesting cross-border news discovery using cross-lingual article linking and document similarity.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Extending Neural Keyword Extraction with TF-IDF tagset matching.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Identification of COVID-19 Related Fake News via Neural Stacking.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
Know your Neighbors: Efficient Author Profiling via Follower Tweets.
Proceedings of the Working Notes of CLEF 2020, 2020

Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization.
Proceedings of the Working Notes of CLEF 2020, 2020


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