Katerina Taskova

15 papers A* 1A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging.
KDD (1)
Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle
2026 J jnl
Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown.
Trans. Mach. Learn. Res.
Sandra Gómez-Gálvez, Tobias Olenyi, Gillian Dobbie, Katerina Taskova
2025 J jnl
AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging.
CoRR
Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle
2025 J jnl
Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis.
CoRR
Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova
2025 J jnl
EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks.
CoRR
Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova
2025 J jnl
Predictive modeling of biodegradation pathways using transformer architectures.
J. Cheminformatics
Liam Brydon, Kunyang Zhang, Gillian Dobbie, Katerina Taskova, Jörg Simon Wicker
2024 J jnl
A systematic review of aspect-based sentiment analysis: domains, methods, and trends.
Artif. Intell. Rev.
Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova
2024 J jnl
AdductHunter: identifying protein-metal complex adducts in mass spectra.
J. Cheminformatics
Derek Long, Liam Eade, Matthew P. Sullivan, Katharina Dost, Samuel M. Meier-Menches, David C. Goldstone, Christian G. Hartinger, Jörg S. Wicker, Katerina Taskova
2024 A conf
Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series.
CIKM
Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle, Lianyan Li
2023 J jnl
A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends.
CoRR
Yan Cathy Hua, Paul Denny, Katerina Taskova, Jörg Wicker
2023 J jnl
DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation.
Proc. ACM Manag. Data
Xiaobin Ren, Kaiqi Zhao, Patricia J. Riddle, Katerina Taskova, Qingyi Pan, Lianyan Li
2023 — conf
Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices.
PAKDD (2)
Yixiao Lu, Yokiu Lee, Haoran Feng, Johnathan Chi-Ho Leung, Alvin Cheung, Katharina Dost, Katerina Taskova, Thomas Lacombe
2020 A* conf
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias.
ICDM
Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker
2015 J jnl
Data Mining-Assisted Parameter Tuning of a Search Algorithm.
Informatica (Slovenia)
Jurij Silc, Katerina Taskova, Peter Korosec
2007 J jnl
A Qualitative Decision-Support Model for Evaluating Researchers.
Informatica (Slovenia)
Katerina Taskova, Daniela Stojanova, Marko Bohanec, Saso Dzeroski