Katerina Tashkova

Orcid: 0000-0002-3217-7877

Affiliations:
  • University of Auckland, New Zealand


According to our database1, Katerina Tashkova authored at least 22 papers between 2007 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown.
Trans. Mach. Learn. Res., 2026

AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025
Predictive modeling of biodegradation pathways using transformer architectures.
J. Cheminformatics, December, 2025

Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis.
CoRR, November, 2025

EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks.
CoRR, August, 2025

The EduRABSA Dataset and the ASQE-DPT Annotation Tool.
Dataset, August, 2025

2024
AdductHunter: identifying protein-metal complex adducts in mass spectra.
J. Cheminformatics, December, 2024

A systematic review of aspect-based sentiment analysis: domains, methods, and trends.
Artif. Intell. Rev., November, 2024


Scripts for PDF Mining and Auto-screening for Literature Reviews.
Dataset, July, 2024

Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation.
Proc. ACM Manag. Data, 2023

A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends.
CoRR, 2023

Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2020
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2015
Data Mining-Assisted Parameter Tuning of a Search Algorithm.
Informatica (Slovenia), 2015

2011
A distributed multilevel ant-colony algorithm for the multi-way graph partitioning.
Int. J. Bio Inspired Comput., 2011

Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.
BMC Syst. Biol., 2011

2010
The differential Ant-Stigmergy Algorithm for large-scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Distributed Multilevel Ant-Colony Approach for Finite Element Mesh Decomposition.
Proceedings of the Parallel Processing and Applied Mathematics, 2009

2008
A Distributed Multilevel Ant Colonies Approach.
Informatica (Slovenia), 2008

2007
A Qualitative Decision-Support Model for Evaluating Researchers.
Informatica (Slovenia), 2007


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