| 2025 | AIED | Mining Student Activity Sequences in a Large-Scale Online Programming Course. | Ziwei Wang, Bryn Jeffries, Irena Koprinska |
| 2025 | AIED | Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses. | Ziwei Wang, Irena Koprinska, Mara Martnez-Ballesteros, Alicia Troncoso, Bryn Jeffries |
| 2025 | AusDM | Dynamic Meta-learning Ensemble with Pairwise Comparisons and Hierarchical Clustering for Financial Time Series Forecasting. | Hanxue Yao, Irena Koprinska |
| 2025 | EDM | Grouping and Differentiating Programming Exercises Using Minimal Programming Constructs. | Ka Weng Pan, Bryn Jeffries, Irena Koprinska |
| 2025 | PAKDD | Insomnia Detection Based on Brain State Sleep Trajectories. | Xiaojing Ren, Irena Koprinska, Natalie Astalosh, Stephen McCloskey, Bryn Jeffries |
| 2024 | AIED | Predicting Successful Programming Submissions Based on Critical Logic Blocks. | Ka Weng Pan, Bryn Jeffries, Irena Koprinska |
| 2024 | AIED | Interpretable Methods for Early Prediction of Student Performance in Programming Courses. | Ziwei Wang, Irena Koprinska, Bryn Jeffries |
| 2024 | ICONIP | Seq-LSTM-Conv: Multi-Sequence Aggregated Forecasting Using LSTM and Convolutional Neural Networks. | Gavin Fungtammasan, Irena Koprinska |
| 2023 | AIED | Early Prediction of Student Performance in Online Programming Courses. | Enqi Liu, Irena Koprinska, Kalina Yacef |
| 2023 | AIED | Predicting Progress in a Large-Scale Online Programming Course. | Vincent Zhang, Bryn Jeffries, Irena Koprinska |
| 2023 | IJCNN | Convolutional and LSTM Neural Networks for Solar Power Forecasting. | Gavin Fungtammasan, Irena Koprinska |
| 2022 | AIED | Data Mining of Syntax Errors in a Large-Scale Online Python Course. | Jung A Lee, Irena Koprinska, Bryn Jeffries |
| 2022 | AIED | Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods. | Sophia Polito, Irena Koprinska, Bryn Jeffries |
| 2022 | EDM | Combining domain modelling and student modelling techniques in a single automated pipeline. | Gio Picones, Benjamin Paaen, Irena Koprinska, Kalina Yacef |
| 2022 | ITiCSE | 115 Ways Not to Say Hello, World!: Syntax Errors Observed in a Large-Scale Online CS0 Python Course. | Bryn Jeffries, Jung A Lee, Irena Koprinska |
| 2022 | PAKDD | Insomnia Disorder Detection Using EEG Sleep Trajectories. | Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher James Gordon, Ronald R. Grunstein |
| 2021 | ACE | Progress Networks as a Tool for Analysing Student Programming Difficulties. | Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2021 | EDM | ast2vec: Utilizing Recursive Neural Encodings of Python Programs. | Benjamin Paaen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2021 | EDM | Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). | Benjamin Paaen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2021 | ICDM | SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2021 | IJCNN | Temporal Convolutional Attention Neural Networks for Time Series Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2020 | ACE | Understanding Gender Differences to Improve Equity in Computer Programming Education. | Jessica McBroom, Irena Koprinska, Kalina Yacef |
| 2020 | AIED | DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data. | Jessica McBroom, Kalina Yacef, Irena Koprinska |
| 2020 | EDM | How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences. | Jessica McBroom, Irena Koprinska, Kalina Yacef |
| 2020 | EDM | Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity. | Jessica McBroom, Kalina Yacef, Irena Koprinska |
| 2020 | ICANN | Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. | Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso |
| 2020 | ICONIP | SpringNet: Transformer and Spring DTW for Time Series Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2020 | IJCNN | Ensemble Methods for Solar Power Forecasting. | Zezhou Chen, Irena Koprinska |
| 2020 | IJCNN | Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains. | Rim Haidar, Irena Koprinska, Bryn Jeffries |
| 2020 | IJCNN | Temporal Convolutional Neural Networks for Solar Power Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2020 | IJCNN | Tree Echo State Autoencoders with Grammars. | Benjamin Paassen, Irena Koprinska, Kalina Yacef |
| 2019 | CHI | Detecting Personality Traits Using Eye-Tracking Data. | Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li, Sabina Kleitman |
| 2019 | ICANN | Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. | Irena Koprinska, Mashud Rana, Ashfaqur Rahman |
| 2019 | ICANN | Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data. | Givanna H. Putri, Mark N. Read, Irena Koprinska, Thomas M. Ashhurst, Nicholas J. C. King |
| 2019 | ICONIP | Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection. | Rim Haidar, Irena Koprinska, Bryn Jeffries |
| 2019 | ICONIP | Pattern Sequence Neural Network for Solar Power Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso |
| 2018 | AIED | A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors. | Jessica McBroom, Kalina Yacef, Irena Koprinska, James R. Curran |
| 2018 | ICANN | Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks. | Zheng Wang, Irena Koprinska |
| 2018 | IJCNN | Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events. | Rim Haidar, Stephen McCloskey, Irena Koprinska, Bryn Jeffries |
| 2018 | IJCNN | Convolutional Neural Networks for Energy Time Series Forecasting. | Irena Koprinska, Dengsong Wu, Zheng Wang |
| 2018 | IJCNN | Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. | Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martnez-lvarez |
| 2018 | PAKDD | Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow. | Stephen McCloskey, Rim Haidar, Irena Koprinska, Bryn Jeffries |
| 2017 | ICANN | Solar Power Forecasting Using Pattern Sequences. | Zheng Wang, Irena Koprinska, Mashud Rana |
| 2017 | ICONIP | Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks. | Rim Haidar, Irena Koprinska, Bryn Jeffries |
| 2017 | IJCAI | Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. | Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen |
| 2017 | IJCNN | Solar power prediction with data source weighted nearest neighbors. | Zheng Wang, Irena Koprinska |
| 2017 | IJCNN | Solar power prediction using weather type pair patterns. | Zheng Wang, Irena Koprinska, Mashud Rana |
| 2017 | WWW | Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. | Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen |
| 2016 | CIKM | Discovering Temporal Purchase Patterns with Different Responses to Promotions. | Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen |
| 2016 | EDM | Mining behaviors of students in autograding submission system logs. | Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2016 | EDM | Exploring and Following Students' Strategies When Completing Their Weekly Tasks. | Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2016 | ICANN | Extended Weighted Nearest Neighbor for Electricity Load Forecasting. | Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis |
| 2016 | IJCNN | A dynamic channel selection algorithm for the classification of EEG and EMG data. | Ahmed Al-Ani, Irena Koprinska, Ganesh R. Naik, Rami N. Khushaba |
| 2016 | IJCNN | Solar power forecasting using weather type clustering and ensembles of neural networks. | Mashud Rana, Irena Koprinska, Vassilios G. Agelidis |
| 2016 | IJCNN | Clustering based methods for solar power forecasting. | Zheng Wang, Irena Koprinska, Mashud Rana |
| 2016 | PAKDD | Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. | Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen |
| 2015 | AIED | Predicting Student Performance from Multiple Data Sources. | Irena Koprinska, Joshua Stretton, Kalina Yacef |
| 2015 | DaWaK | Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. | Ling Luo, Wei Liu, Irena Koprinska, Fang Chen |
| 2015 | EDM | Students at Risk: Detection and Remediation. | Irena Koprinska, Joshua Stretton, Kalina Yacef |
| 2015 | EDM | Discrimination-Aware Classifiers for Student Performance Prediction. | Ling Luo, Irena Koprinska, Wei Liu |
| 2015 | IJCNN | Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting. | Tommaso Colombo, Irena Koprinska, Massimo Panella |
| 2015 | IJCNN | Forecasting solar power generated by grid connected PV systems using ensembles of neural networks. | Mashud Rana, Irena Koprinska, Vassilios G. Agelidis |
| 2014 | IJCNN | Forecasting hourly electricity load profile using neural networks. | Mashud Rana, Irena Koprinska, Alicia Troncoso Lora |
| 2013 | ACL | An annotated corpus of quoted opinions in news articles. | Timothy O'Keefe, James R. Curran, Peter Ashwell, Irena Koprinska |
| 2013 | EMNLP | Automatically Detecting and Attributing Indirect Quotations. | Silvia Pareti, Timothy O'Keefe, Ioannis Konstas, James R. Curran, Irena Koprinska |
| 2013 | ICANN | Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance. | Mashud Rana, Irena Koprinska |
| 2013 | ICANN | Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. | Mashud Rana, Irena Koprinska, Abbas Khosravi |
| 2013 | IJCNN | Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. | Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martnez-lvarez |
| 2013 | IJCNN | Prediction intervals for electricity load forecasting using neural networks. | Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis |
| 2013 | RecSys | Catch-up TV recommendations: show old favourites and find new ones. | Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska |
| 2012 | EMNLP | A Sequence Labelling Approach to Quote Attribution. | Timothy O'Keefe, Silvia Pareti, James R. Curran, Irena Koprinska, Matthew Honnibal |
| 2012 | ICANN | Electricity Load Forecasting: A Weekday-Based Approach. | Irena Koprinska, Mashud Rana, Vassilios G. Agelidis |
| 2012 | ICONIP | Statistical and Machine Learning Methods for Electricity Demand Prediction. | Alexandra Kotillova, Irena Koprinska, Mashud Rana |
| 2012 | ICONIP | Feature Selection for Electricity Load Prediction. | Mashud Rana, Irena Koprinska, Vassilios G. Agelidis |
| 2012 | IJCNN | Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection. | Mashud Rana, Irena Koprinska |
| 2011 | EDM | Mining Assessment and Teaching Evaluation Data of Regular, Advanced Stream Students. | Irena Koprinska |
| 2011 | IJCAI | CCR - A Content-Collaborative Reciprocal Recommender for Online Dating. | Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Augusto Sangoi Pizzato, Judy Kay, Tomasz Rej |
| 2011 | IJCNN | Yearly and seasonal models for electricity load forecasting. | Irena Koprinska, Mashud Rana, Vassilios G. Agelidis |
| 2011 | PAKDD | Explicit and Implicit User Preferences in Online Dating. | Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Augusto Sangoi Pizzato, Judy Kay, Tomasz Rej |
| 2010 | ICPR | Variable Selection for Five-Minute Ahead Electricity Load Forecasting. | Irena Koprinska, Rohen Sood, Vassilios G. Agelidis |
| 2010 | IJCNN | Electricity load forecasting based on autocorrelation analysis. | Rohen Sood, Irena Koprinska, Vassilios G. Agelidis |
| 2010 | RecSys | RECON: a reciprocal recommender for online dating. | Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Judy Kay |
| 2010 | RecSys | Reciprocal recommender system for online dating. | Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Kalina Yacef, Judy Kay |
| 2009 | IJCNN | Very short-term electricity load demand forecasting using support vector regression. | Anthony Setiawan, Irena Koprinska, Vassilios G. Agelidis |
| 2009 | PAKDD | Feature Selection for Brain-Computer Interfaces. | Irena Koprinska |
| 2008 | AusDM | Classification of Brain-Computer Interface Data. | Omar AlZoubi, Irena Koprinska, Rafael A. Calvo |
| 2007 | FlAIRS | Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging. | Jason Chan, Josiah Poon, Irena Koprinska |
| 2006 | IJCNN | Co-training using RBF Nets and Different Feature Splits. | Felix Feger, Irena Koprinska |
| 2005 | FlAIRS | A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria. | Daren Ler, Irena Koprinska, Sanjay Chawla |
| 2005 | KES | Estimation of the Hierarchical Structure of a Video Sequence Using MPEG-7 Descriptors and GCS. | Masoumeh D. Saberi, Sergio Carrato, Irena Koprinska, James Clark |
| 2004 | ADCS | Co-Training on Textual Documents with a Single Natural Feature Set. | Jason Chan, Irena Koprinska, Josiah Poon |
| 2004 | ADCS | Phrases and Feature Selection in E-Mail Classification. | Elisabeth Crawford, Irena Koprinska, Jon D. Patrick |
| 2004 | HIS | Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation. | Daren Ler, Irena Koprinska, Sanjay Chawla |
| 2004 | ICMLA | A new landmarker generation algorithm based on correlativity. | Daren Ler, Irena Koprinska, Sanjay Chawla |
| 2004 | IJCNN | Video summarization and browsing using growing cell structures. | Irena Koprinska, James Clark |
| 2002 | ADCS | A Multi-Learner Approach to E-mail Classification. | Elisabeth Crawford, Irena Koprinska, Jon D. Patrick |
| 2002 | ICANN | Automatic Fingerprint Verification Using Neural Networks. | Anna Ceguerra, Irena Koprinska |
| 2002 | ICPR | Integrating Local and Global Features in Automatic Fingerprint Verification. | Anna Ceguerra, Irena Koprinska |
| 2000 | ICPR | Evolving Fuzzy Neural Network for Camera Operations Recognition. | Irena Koprinska, Nikola K. Kasabov |