Sleep classification in infants by decision tree-based neural networks. - Irena Koprinska; Gert Pfurtscheller; Doris Flotzinger (Artif. Intell. Medicine, 1996)

Detecting and classifying video shot boundaries in MPEG compressed sequences. - Irena Koprinska; Sergio Carrato (EUSIPCO, 1998)

Video segmentation of MPEG compressed data. - Irena Koprinska; Sergio Carrato (ICECS, 1998)

Evolving Fuzzy Neural Network for Camera Operations Recognition. - Irena Koprinska; Nikola K. Kasabov (ICPR, 2000)

Temporal video segmentation: A survey. - Irena Koprinska; Sergio Carrato (Signal Process. Image Commun., 2001)

A Multi-Learner Approach to E-mail Classification. - Elisabeth Crawford; Irena Koprinska; Jon D. Patrick (ADCS, 2002)

Automatic Fingerprint Verification Using Neural Networks. - Anna Ceguerra; Irena Koprinska (ICANN, 2002)

Integrating Local and Global Features in Automatic Fingerprint Verification. - Anna Ceguerra; Irena Koprinska (ICPR (3), 2002)

Hybrid Rule-Based/Neural Approach for Segmentation of MPEG Compressed Video. - Irena Koprinska; Sergio Carrato (Multim. Tools Appl., 2002)

A Neural Network Based Approach to Automated E-Mail Classification. - James Clark 004; Irena Koprinska; Josiah Poon (Web Intelligence, 2003)

INTIMATE: A Web-Based Movie Recommender Using Text Categorization. - Harry Mak; Irena Koprinska; Josiah Poon (Web Intelligence, 2003)

Co-Training on Textual Documents with a Single Natural Feature Set. - Jason Chan 001; Irena Koprinska; Josiah Poon (ADCS, 2004)

Phrases and Feature Selection in E-Mail Classification. - Elisabeth Crawford; Irena Koprinska; Jon D. Patrick (ADCS, 2004)

A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria. - Daren Ler; Irena Koprinska; Sanjay Chawla (Australian Conference on Artificial Intelligence, 2004)

Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation. - Daren Ler; Irena Koprinska; Sanjay Chawla (HIS, 2004)

A new landmarker generation algorithm based on correlativity. - Daren Ler; Irena Koprinska; Sanjay Chawla (ICMLA, 2004)

Video summarization and browsing using growing cell structures. - Irena Koprinska; James Clark 004 (IJCNN, 2004)

Co-training with a Single Natural Feature Set Applied to Email Classification. - Jason Chan 001; Irena Koprinska; Josiah Poon (Web Intelligence, 2004)

A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria. - Daren Ler; Irena Koprinska; Sanjay Chawla (FLAIRS, 2005)

Estimation of the Hierarchical Structure of a Video Sequence Using MPEG-7 Descriptors and GCS. - Masoumeh D. Saberi; Sergio Carrato; Irena Koprinska; James Clark 004 (KES (2), 2005)

Content-adaptive transmission of reconstructed soccer goal events over low bandwidth networks. - Qing Tang; Irena Koprinska; Jesse S. Jin (ACM Multimedia, 2005)

Image classification using labelled and unlabelled data. - Irena Koprinska; Da Deng 001; Felix Feger (EUSIPCO, 2006)

Co-training using RBF Nets and Different Feature Splits. - Felix Feger; Irena Koprinska (IJCNN, 2006)

A Sequence Based Recommender System for Learning Resources. - Dean Cummins; Kalina Yacef; Irena Koprinska (Aust. J. Intell. Inf. Process. Syst., 2006)

Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging. - Jason Chan 001; Josiah Poon; Irena Koprinska (FLAIRS, 2007)

Learning to classify e-mail. - Irena Koprinska; Josiah Poon; James Clark 004; Jason Chan 001 (Inf. Sci., 2007)

Classification of Brain-Computer Interface Data. - Omar AlZoubi; Irena Koprinska; Rafael A. Calvo (AusDM, 2008)

Semi-Supervised Classification Using Bridging. - Jason Chan 001; Irena Koprinska; Josiah Poon (Int. J. Artif. Intell. Tools, 2008)

Very short-term electricity load demand forecasting using support vector regression. - Anthony Setiawan; Irena Koprinska; Vassilios G. Agelidis (IJCNN, 2009)

Feature Selection for Brain-Computer Interfaces. - Irena Koprinska (PAKDD Workshops, 2009)

Clustering and Sequential Pattern Mining of Online Collaborative Learning Data. - Dilhan Perera; Judy Kay; Irena Koprinska; Kalina Yacef; Osmar R. Zaïane (IEEE Trans. Knowl. Data Eng., 2009)

Variable Selection for Five-Minute Ahead Electricity Load Forecasting. - Irena Koprinska; Rohen Sood; Vassilios G. Agelidis (ICPR, 2010)

Electricity load forecasting based on autocorrelation analysis. - Rohen Sood; Irena Koprinska; Vassilios G. Agelidis (IJCNN, 2010)

RECON: a reciprocal recommender for online dating. - Luiz Augusto Sangoi Pizzato; Tomek Rej; Thomas Chung; Irena Koprinska; Judy Kay (RecSys, 2010)

Reciprocal recommender system for online dating. - Luiz Augusto Sangoi Pizzato; Tomek Rej; Thomas Chung; Irena Koprinska; Kalina Yacef; Judy Kay (RecSys, 2010)

Reciprocal Recommenders. - Luiz Pizzato; Tomek Rej; Thomas Chung; Kalina Yacef; Irena Koprinska; Judy Kay (ITWP@UMAP, 2010)

Mining Assessment and Teaching Evaluation Data of Regular, Advanced Stream Students. - Irena Koprinska (EDM, 2011)

CCR - A Content-Collaborative Reciprocal Recommender for Online Dating. - Joshua Akehurst; Irena Koprinska; Kalina Yacef; Luiz Augusto Sangoi Pizzato; Judy Kay; Tomasz Rej (IJCAI, 2011)

Yearly and seasonal models for electricity load forecasting. - Irena Koprinska; Mashud Rana; Vassilios G. Agelidis (IJCNN, 2011)

Explicit and Implicit User Preferences in Online Dating. - Joshua Akehurst; Irena Koprinska; Kalina Yacef; Luiz Augusto Sangoi Pizzato; Judy Kay; Tomasz Rej (PAKDD Workshops, 2011)

Finding Someone You Will Like and Who Won't Reject You. - Luiz Augusto Sangoi Pizzato; Tomek Rej; Kalina Yacef; Irena Koprinska; Judy Kay (UMAP, 2011)

A Sequence Labelling Approach to Quote Attribution. - Timothy O'Keefe; Silvia Pareti; James R. Curran; Irena Koprinska; Matthew Honnibal (EMNLP-CoNLL, 2012)

Electricity Load Forecasting: A Weekday-Based Approach. - Irena Koprinska; Mashud Rana; Vassilios G. Agelidis (ICANN (2), 2012)

Statistical and Machine Learning Methods for Electricity Demand Prediction. - Alexandra Kotillova; Irena Koprinska; Mashud Rana (ICONIP (2), 2012)

Feature Selection for Electricity Load Prediction. - Mashud Rana; Irena Koprinska; Vassilios G. Agelidis (ICONIP (2), 2012)

Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection. - Mashud Rana; Irena Koprinska (IJCNN, 2012)

The Effect of Suspicious Profiles on People Recommenders. - Luiz Augusto Sangoi Pizzato; Joshua Akehurst; Cameron Silvestrini; Kalina Yacef; Irena Koprinska; Judy Kay (UMAP, 2012)

Time dependency in TV viewer clustering. - Mengxi Xu; Shlomo Berkovsky; Irena Koprinska; Sebastien Ardon; Kalina Yacef (UMAP Workshops, 2012)

Examining the Impact of Coreference Resolution on Quote Attribution. - Timothy O'Keefe; Kellie Webster; James R. Curran; Irena Koprinska (ALTA, 2013)

An annotated corpus of quoted opinions in news articles. - Timothy O'Keefe; James R. Curran; Peter Ashwell; Irena Koprinska (ACL (2), 2013)

Automatically Detecting and Attributing Indirect Quotations. - Silvia Pareti; Timothy O'Keefe; Ioannis Konstas; James R. Curran; Irena Koprinska (EMNLP, 2013)

Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance. - Mashud Rana; Irena Koprinska (ICANN, 2013)

Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. - Mashud Rana; Irena Koprinska; Abbas Khosravi (ICANN, 2013)

Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. - Irena Koprinska; Mashud Rana; Alicia Troncoso Lora; Francisco Martínez-Álvarez (IJCNN, 2013)

Prediction intervals for electricity load forecasting using neural networks. - Mashud Rana; Irena Koprinska; Abbas Khosravi; Vassilios G. Agelidis (IJCNN, 2013)

Catch-up TV recommendations: show old favourites and find new ones. - Mengxi Xu; Shlomo Berkovsky; Sebastien Ardon; Sipat Triukose; Anirban Mahanti; Irena Koprinska (RecSys, 2013)

Recommending people to people: the nature of reciprocal recommenders with a case study in online dating. - Luiz Augusto Sangoi Pizzato; Tomasz Rej; Joshua Akehurst; Irena Koprinska; Kalina Yacef; Judy Kay (User Model. User Adapt. Interact., 2013)

Forecasting hourly electricity load profile using neural networks. - Mashud Rana; Irena Koprinska; Alicia Troncoso Lora (IJCNN, 2014)

Predicting Student Performance from Multiple Data Sources. - Irena Koprinska; Joshua Stretton; Kalina Yacef (AIED, 2015)

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. - Ling Luo 002; Wei Liu 007; Irena Koprinska; Fang Chen 001 (Australasian Conference on Artificial Intelligence, 2015)

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. - Ling Luo 002; Wei Liu 007; Irena Koprinska; Fang Chen 001 (DaWaK, 2015)

Students at Risk: Detection and Remediation. - Irena Koprinska; Joshua Stretton; Kalina Yacef (EDM, 2015)

Discrimination-Aware Classifiers for Student Performance Prediction. - Ling Luo 002; Irena Koprinska; Wei Liu 007 (EDM, 2015)

Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting. - Tommaso Colombo; Irena Koprinska; Massimo Panella (IJCNN, 2015)

Forecasting solar power generated by grid connected PV systems using ensembles of neural networks. - Mashud Rana; Irena Koprinska; Vassilios G. Agelidis (IJCNN, 2015)

Correlation and instance based feature selection for electricity load forecasting. - Irena Koprinska; Mashud Rana; Vassilios G. Agelidis (Knowl. Based Syst., 2015)

People-to-People Reciprocal Recommenders. - Irena Koprinska; Kalina Yacef (Recommender Systems Handbook, 2015)

Mining autograding data in computer science education. - Vincent Gramoli; Michael A. Charleston; Bryn Jeffries; Irena Koprinska; Martin McGrane; Alex Radu; Anastasios Viglas; Kalina Yacef (ACSW, 2016)

Discovering Temporal Purchase Patterns with Different Responses to Promotions. - Ling Luo 002; Bin Li 015; Irena Koprinska; Shlomo Berkovsky; Fang Chen 001 (CIKM, 2016)

Mining behaviors of students in autograding submission system logs. - Jessica McBroom; Bryn Jeffries; Irena Koprinska; Kalina Yacef (EDM, 2016)

Exploring and Following Students' Strategies When Completing Their Weekly Tasks. - Jessica McBroom; Bryn Jeffries; Irena Koprinska; Kalina Yacef (EDM, 2016)

Extended Weighted Nearest Neighbor for Electricity Load Forecasting. - Mashud Rana; Irena Koprinska; Alicia Troncoso; Vassilios G. Agelidis (ICANN (2), 2016)

A dynamic channel selection algorithm for the classification of EEG and EMG data. - Ahmed Al-Ani; Irena Koprinska; Ganesh R. Naik; Rami N. Khushaba (IJCNN, 2016)

Solar power forecasting using weather type clustering and ensembles of neural networks. - Mashud Rana; Irena Koprinska; Vassilios G. Agelidis (IJCNN, 2016)

Clustering based methods for solar power forecasting. - Zheng Wang 040; Irena Koprinska; Mashud Rana (IJCNN, 2016)

Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. - Ling Luo 002; Bin Li 015; Shlomo Berkovsky; Irena Koprinska; Fang Chen 001 (PAKDD (1), 2016)

Forecasting electricity load with advanced wavelet neural networks. - Mashud Rana; Irena Koprinska (Neurocomputing, 2016)

Solar Power Forecasting Using Pattern Sequences. - Zheng Wang 040; Irena Koprinska; Mashud Rana (ICANN (2), 2017)

Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks. - Rim Haidar; Irena Koprinska; Bryn Jeffries (ICONIP (5), 2017)

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. - Ling Luo 002; Bin Li 015; Irena Koprinska; Shlomo Berkovsky; Fang Chen 001 (IJCAI, 2017)

Solar power prediction with data source weighted nearest neighbors. - Zheng Wang 040; Irena Koprinska (IJCNN, 2017)

Solar power prediction using weather type pair patterns. - Zheng Wang 040; Irena Koprinska; Mashud Rana (IJCNN, 2017)

Automated Data-Driven Hints for Computer Programming Students. - Sammi Chow; Kalina Yacef; Irena Koprinska; James R. Curran (UMAP (Adjunct Publication), 2017)

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. - Kurt Driessens; Irena Koprinska; Olga C. Santos; Evgueni N. Smirnov; Kalina Yacef; Osmar R. Zaïane (UMAP (Adjunct Publication), 2017)

Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. - Ling Luo 002; Bin Li 015; Shlomo Berkovsky; Irena Koprinska; Fang Chen 001 (WWW (Companion Volume), 2017)

Dynamically identifying relevant EEG channels by utilizing channels classification behaviour. - Ahmed Al-Ani; Irena Koprinska; Ganesh R. Naik (Expert Syst. Appl., 2017)

DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. - Ling Luo 002; Wei Liu 007; Irena Koprinska; Fang Chen 001 (Trans. Large Scale Data Knowl. Centered Syst., 2017)

A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors. - Jessica McBroom; Kalina Yacef; Irena Koprinska; James R. Curran (AIED (1), 2018)

Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks. - Zheng Wang 040; Irena Koprinska (ICANN (1), 2018)

Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events. - Rim Haidar; Stephen McCloskey; Irena Koprinska; Bryn Jeffries (IJCNN, 2018)

Convolutional Neural Networks for Energy Time Series Forecasting. - Irena Koprinska; Dengsong Wu; Zheng Wang 040 (IJCNN, 2018)

Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. - Zheng Wang 040; Irena Koprinska; Alicia Troncoso; Francisco Martínez-Álvarez (IJCNN, 2018)

Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow. - Stephen McCloskey; Rim Haidar; Irena Koprinska; Bryn Jeffries (PAKDD (1), 2018)

Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. - José F. Torres; Alicia Troncoso; Irena Koprinska; Zheng Wang 040; Francisco Martínez-Álvarez (SOCO-CISIS-ICEUTE, 2018)

Detecting Personality Traits Using Eye-Tracking Data. - Shlomo Berkovsky; Ronnie Taib; Irena Koprinska; Eileen Wang; Yucheng Zeng; Jingjie Li; Sabina Kleitman (CHI, 2019)

Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. - Irena Koprinska; Mashud Rana; Ashfaqur Rahman (ICANN (4), 2019)

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 (ICANN (4), 2019)

Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection. - Rim Haidar; Irena Koprinska; Bryn Jeffries (ICONIP (1), 2019)

Pattern Sequence Neural Network for Solar Power Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana; Alicia Troncoso (ICONIP (5), 2019)

Big data solar power forecasting based on deep learning and multiple data sources. - José F. Torres; Alicia Troncoso; Irena Koprinska; Zheng Wang 040; Francisco Martínez-Álvarez (Expert Syst. J. Knowl. Eng., 2019)

Multi-step forecasting for big data time series based on ensemble learning. - Antonio Galicia; Ricardo L. Talavera-Llames; Alicia Troncoso Lora; Irena Koprinska; Francisco Martínez-Álvarez (Knowl. Based Syst., 2019)

Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables. - Stephen McCloskey; Bryn Jeffries; Irena Koprinska; Christopher B. Miller; Ronald R. Grunstein (Knowl. Based Syst., 2019)

ChronoClust: Density-based clustering and cluster tracking in high-dimensional time-series data. - Givanna H. Putri; Mark N. Read; Irena Koprinska; Deeksha Singh; Uwe Röhm; Thomas M. Ashhurst; Nicholas J. C. King (Knowl. Based Syst., 2019)

Understanding Gender Differences to Improve Equity in Computer Programming Education. - Jessica McBroom; Irena Koprinska; Kalina Yacef (ACE, 2020)

DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data. - Jessica McBroom; Kalina Yacef; Irena Koprinska (AIED (1), 2020)

How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences. - Jessica McBroom; Irena Koprinska; Kalina Yacef (EDM, 2020)

Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity. - Jessica McBroom; Kalina Yacef; Irena Koprinska (EDM, 2020)

Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves. - Roneel V. Sharan; Shlomo Berkovsky; Ronnie Taib; Irena Koprinska; Jingjie Li (EMBC, 2020)

Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. - Yang Lin; Irena Koprinska; Mashud Rana; Alicia Troncoso (ICANN (1), 2020)

SpringNet: Transformer and Spring DTW for Time Series Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana (ICONIP (3), 2020)

Ensemble Methods for Solar Power Forecasting. - Zezhou Chen; Irena Koprinska (IJCNN, 2020)

Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains. - Rim Haidar; Irena Koprinska; Bryn Jeffries (IJCNN, 2020)

Temporal Convolutional Neural Networks for Solar Power Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana (IJCNN, 2020)

Tree Echo State Autoencoders with Grammars. - Benjamin Paassen; Irena Koprinska; Kalina Yacef (IJCNN, 2020)

Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale Nutrition Study. - Jisu Jung; Lyndal Wellard-Cole; Colin Cai; Irena Koprinska; Kalina Yacef; Margaret Allman-Farinelli; Judy Kay (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli. - Ronnie Taib; Shlomo Berkovsky; Irena Koprinska; Eileen Wang; Yucheng Zeng; Jingjie Li (ACM Trans. Interact. Intell. Syst., 2020)

Progress Networks as a Tool for Analysing Student Programming Difficulties. - Jessica McBroom; Benjamin Paassen; Bryn Jeffries; Irena Koprinska; Kalina Yacef (ACE, 2021)

ast2vec: Utilizing Recursive Neural Encodings of Python Programs. - Benjamin Paaßen; Jessica McBroom; Bryn Jeffries; Irena Koprinska; Kalina Yacef (EDM, 2021)

Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). - Benjamin Paaßen; Jessica McBroom; Bryn Jeffries; Irena Koprinska; Kalina Yacef (EDM (Workshops), 2021)

Association of Longitudinal Sleep and Next-day Indoor Mobility Measured via Passive Sensors among Community-dwelling Older Adults. - Yang Gao; Mahnoosh Kholghi; Irena Koprinska; Qing Zhang 001 (EMBC, 2021)

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana (ICDM, 2021)

Temporal Convolutional Attention Neural Networks for Time Series Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana (IJCNN, 2021)

Data Mining of Syntax Errors in a Large-Scale Online Python Course. - Jung A Lee; Irena Koprinska; Bryn Jeffries (AIED (2), 2022)

Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods. - Sophia Polito; Irena Koprinska; Bryn Jeffries (AIED (2), 2022)

Conformal Multistep-Ahead Multivariate Time-Series Forecasting. - Filip Schlembach; Evgueni N. Smirnov; Irena Koprinska (COPA, 2022)

Combining domain modelling and student modelling techniques in a single automated pipeline. - Gio Picones; Benjamin Paaßen; Irena Koprinska; Kalina Yacef (EDM, 2022)

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 (ITiCSE (1), 2022)

Insomnia Disorder Detection Using EEG Sleep Trajectories. - Stephen McCloskey; Bryn Jeffries; Irena Koprinska; Christopher James Gordon; Ronald R. Grunstein (PAKDD (3), 2022)

A Survey of Automated Programming Hint Generation: The HINTS Framework. - Jessica McBroom; Irena Koprinska; Kalina Yacef (ACM Comput. Surv., 2022)

Recursive tree grammar autoencoders. - Benjamin Paaßen; Irena Koprinska; Kalina Yacef (Mach. Learn., 2022)

People-to-People Reciprocal Recommenders. - Irena Koprinska; Kalina Yacef (Recommender Systems Handbook, 2022)

Early Prediction of Student Performance in Online Programming Courses. - Enqi Liu; Irena Koprinska; Kalina Yacef (AIED (Posters/Late Breaking Results/...), 2023)

Predicting Progress in a Large-Scale Online Programming Course. - Vincent Zhang; Bryn Jeffries; Irena Koprinska (AIED, 2023)

Convolutional and LSTM Neural Networks for Solar Power Forecasting. - Gavin Fungtammasan; Irena Koprinska (IJCNN, 2023)

Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. - Ling Luo 002; Bin Li 015; Xuhui Fan 001; Yang Wang 002; Irena Koprinska; Fang Chen 001 (Mach. Learn., 2023)

Sleep Apnea Prediction Using Deep Learning. - Eileen Wang; Irena Koprinska; Bryn Jeffries (IEEE J. Biomed. Health Informatics, 2023)

Predicting Successful Programming Submissions Based on Critical Logic Blocks. - Ka Weng Pan; Bryn Jeffries; Irena Koprinska (AIED (2), 2024)

Interpretable Methods for Early Prediction of Student Performance in Programming Courses. - Ziwei Wang; Irena Koprinska; Bryn Jeffries (AIED Companion (2), 2024)

Seq-LSTM-Conv: Multi-Sequence Aggregated Forecasting Using LSTM and Convolutional Neural Networks. - Gavin Fungtammasan; Irena Koprinska (ICONIP (6), 2024)

Insomnia Detection Based on Brain State Sleep Trajectories. - Xiaojing Ren; Irena Koprinska; Natalie Astalosh; Stephen McCloskey; Bryn Jeffries (PAKDD (7), 2025)

Conformal multistep-ahead multivariate time-series forecasting. - Filip Schlembach; Evgueni N. Smirnov; Irena Koprinska; Mark H. M. Winands (Mach. Learn., 2025)