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I

Irena Koprinska

university of sydney

35H-index
177Paper Count
4.8KCitation Count
Published Papers 26
Publication Date
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Attention score-based dynamic ensemble for time series forecasting with an importance greedy diversity model selection
errInformation Fusion
IF15.5
err2026-07-27
err0
errOAAI
errHanxue Yao; Irena Koprinska
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errSave
Machine Learning Methods for Computing Brain State Sleep Trajectories and Insomnia Detection
errNEURAL INFORMATION PROCESSING, ICONIP 2025, PT V
IF0
err2026-01-01
err0
PREAI
errRen, Xiaojing; Koprinska, Irena; McCloskey, Stephen; Jeffries, Bryn
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errSave
A Machine Learning Approach for Predicting Student Progress in Online Programming Education
errInternational Journal of Artificial Intelligence in Education
IF8.5
err2025-09-25
err0
errOAAI
errVincent Zhang; Bryn Jeffries; Irena Koprinska
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errSave
Conformal multistep-ahead multivariate time-series forecasting
errMachine Learning
IF2.9
err2025-06-09
err0
errOAAI
errFilip Schlembach; Evgueni Smirnov; Irena Koprinska; Mark H. M. Winands
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errSave
Sleep Apnea Prediction Using Deep Learning
errIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
IF6.8
err2023-11-01
err6
PREAI
errWang, Eileen; Koprinska, Irena; Jeffries, Bryn
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errSave
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes
errMACHINE LEARNING
IF2.9
err2022-12-02
err1
errOAAI
errLuo, Ling; Li, Bin; Fan, Xuhui; Wang, Yang; Koprinska, Irena; Chen, Fang
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errSave
The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study
errNUTRIENTS
IF5
err2022-09-11
err0
errOAAI
errNassif, Emma; Davies, Alyse; Bente, Kim B.; Wellard-Cole, Lyndal; Jung, Jisu; Kay, Judy; Hughes, Clare; Koprinska, Irena; Watson, Wendy L.; Yacef, Kalina; Chapman, Kathy; Rangan, Anna; Bauman, Adrian; Mhurchu, Cliona Ni; Allman-Farinelli, Margaret
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errSave
Recursive tree grammar autoencoders
errMACHINE LEARNING
IF2.9
err2022-08-02
err3
errOAAI
errPaassen, Benjamin; Koprinska, Irena; Yacef, Kalina
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errSave
A Survey of Automated Programming Hint Generation: The HINTS Framework
errACM COMPUTING SURVEYS
IF28
err2021-10-04
err20
errOAAI
errMcBroom, Jessica; Koprinska, Irena; Yacef, Kalina
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errSave
The Contribution of Foods Prepared Outside the Home to the Diets of 18-to 30-Year-Old Australians: The MYMeals Study
errNUTRIENTS
IF5
err2021-05-21
err14
errOAAI
errWellard-Cole, Lyndal; Davies, Alyse; Chen, Juliana; Jung, Jisu; Bente, Kim B.; Kay, Judy; Watson, Wendy L.; Hughes, Clare; Rangan, Anna; Yacef, Kalina; Koprinska, Irena; Chapman, Kathy; Wong, Nim Ting; Gemming, Luke; Mhurchu, Cliona Ni; Bauman, Adrian; Allman-Farinelli, Margaret
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errSave
Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli
erracm transactions on intelligent systems and technology
IF4.8
err2020-10-15
err9
PREAI
errTaib, Ronnie; Berkovsky, Shlomo; Koprinska, Irena; Wang, Eileen; Zeng, Yucheng; Li, Jingjie
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errSave
Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale Nutrition Study
errPROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT
IF4.5
err2020-06-15
err17
PREAI
errJung, Jisu; Wellard-Cole, Lyndal; Cai, Colin; Koprinska, Irena; Yacef, Kalina; Allman-Farinelli, Margaret; Kay, Judy
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errSave
Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2019-11-01
err8
PREAI
errMcCloskey, Stephen; Jeffries, Bryn; Koprinska, Irena; Miller, Christopher B.; Grunstein, Ronald R.
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errSave
ChronoClust: Density-based clustering and cluster high-dimensional time-series data
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2019-06-01
err13
PREAI
errPutri, Givanna H.; Read, Mark N.; Koprinska, Irena; Singh, Deeksha; Rohm, Uwe; Ashhurst, Thomas M.; King, Nicholas J. C.
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errSave
Big data solar power forecasting based on deep learning and multiple data sources
errEXPERT SYSTEMS
IF2.3
err2019-03-28
err43
PREAI
errTorres, Jose F.; Troncoso, Alicia; Koprinska, Irena; Wang, Zheng; Martinez-Alvarez, Francisco
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errSave
Multi-step forecasting for big data time series based on ensemble learning
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2019-01-01
err158
PREAI
errGalicia, A.; Talavera-Llames, R.; Troncoso, A.; Koprinska, I.; Martinez-Alvarez, F.
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errSave
Dynamically identifying relevant EEG channels by utilizing channels classification behaviour
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2017-10-01
err14
PREAI
errAl-Ani, Ahmed; Koprinska, Irena; Naik, Ganesh
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errSave
Univariate and multivariate methods for very short-term solar photovoltaic power forecasting
errENERGY CONVERSION AND MANAGEMENT
IF10.9
err2016-08-01
err160
PREAI
errRana, Mashud; Koprinska, Irena; Agelidis, Vassilios G.
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errSave
Forecasting electricity load with advanced wavelet neural networks
errNEUROCOMPUTING
IF6.5
err2016-03-01
err120
PREAI
errRana, Mashud; Koprinska, Irena
errShare
errSave
2D-interval forecasts for solar power production
errSOLAR ENERGY
IF6.6
err2015-12-01
err76
PREAI
errRana, Mashud; Koprinska, Irena; Agelidis, Vassilios G.
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
A
Adrian Bauman
H-index: 151 · Papers: 1.5K
V
Vassilios G. Agelidis
H-index: 84 · Papers: 515
R
Ronald R. Grunstein
H-index: 81 · Papers: 577
C
Cliona Ní Mhurchú
H-index: 71 · Papers: 353
F
Fang Chen
H-index: 70 · Papers: 1.2K
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