Irena Koprinska

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 76

Top Venues

Publications

Ziwei Wang, Irena Koprinska, Bryn Jeffries
Interpretable Methods for Early Prediction of Student Performance in Programming Courses. AIED Companion (2) (2024)
Ka Weng Pan, Bryn Jeffries, Irena Koprinska
Predicting Successful Programming Submissions Based on Critical Logic Blocks. AIED (2) (2024)
Vincent Zhang, Bryn Jeffries, Irena Koprinska
Predicting Progress in a Large-Scale Online Programming Course. AIED (2023)
Gavin Fungtammasan, Irena Koprinska
Convolutional and LSTM Neural Networks for Solar Power Forecasting. IJCNN (2023)
Enqi Liu, Irena Koprinska, Kalina Yacef
Early Prediction of Student Performance in Online Programming Courses. AIED (Posters/Late Breaking Results/...) (2023)
Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. Mach. Learn. 112 (1) (2023)
Eileen Wang, Irena Koprinska, Bryn Jeffries
Sleep Apnea Prediction Using Deep Learning. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Bryn Jeffries, Jung A. Lee, Irena Koprinska
115 Ways Not to Say Hello, World!: Syntax Errors Observed in a Large-Scale Online CS0 Python Course. ITiCSE (1) (2022)
Benjamin Paaßen, Irena Koprinska, Kalina Yacef
Recursive tree grammar autoencoders. Mach. Learn. 111 (9) (2022)
Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef
Combining domain modelling and student modelling techniques in a single automated pipeline. EDM (2022)
Sophia Polito, Irena Koprinska, Bryn Jeffries
Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods. AIED (2) (2022)
Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher Gordon, Ronald R. Grunstein
Insomnia Disorder Detection Using EEG Sleep Trajectories. PAKDD (3) (2022)
Filip Schlembach, Evgueni N. Smirnov, Irena Koprinska
Conformal Multistep-Ahead Multivariate Time-Series Forecasting. COPA (2022)
Jung A. Lee, Irena Koprinska, Bryn Jeffries
Data Mining of Syntax Errors in a Large-Scale Online Python Course. AIED (2) (2022)
Jessica McBroom, Irena Koprinska, Kalina Yacef
A Survey of Automated Programming Hint Generation: The HINTS Framework. ACM Comput. Surv. 54 (8) (2022)
Yang Lin, Irena Koprinska, Mashud Rana
Temporal Convolutional Attention Neural Networks for Time Series Forecasting. IJCNN (2021)
Yang Lin, Irena Koprinska, Mashud Rana
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. CoRR (2021)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). EDM (Workshops) (2021)
Yang Gao, Mahnoosh Kholghi, Irena Koprinska, Qing Zhang
Association of Longitudinal Sleep and Next-day Indoor Mobility Measured via Passive Sensors among Community-dwelling Older Adults. EMBC (2021)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. EDM (2021)
Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Progress Networks as a Tool for Analysing Student Programming Difficulties. ACE (2021)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. CoRR (2021)
Yang Lin, Irena Koprinska, Mashud Rana
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. ICDM (2021)
Benjamin Paassen, Irena Koprinska, Kalina Yacef
Tree Echo State Autoencoders with Grammars. CoRR (2020)
Benjamin Paassen, Irena Koprinska, Kalina Yacef
Recursive Tree Grammar Autoencoders. CoRR (2020)
Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves. EMBC (2020)
Ronnie Taib, Shlomo Berkovsky, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li
Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli. ACM Trans. Interact. Intell. Syst. 10 (3) (2020)
Rim Haidar, Irena Koprinska, Bryn Jeffries
Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains. IJCNN (2020)
Jessica McBroom, Kalina Yacef, Irena Koprinska
DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data. CoRR (2020)
Benjamin Paassen, Irena Koprinska, Kalina Yacef
Tree Echo State Autoencoders with Grammars. IJCNN (2020)
Jessica McBroom, Kalina Yacef, Irena Koprinska
DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data. AIED (1) (2020)
Jisu Jung, Lyndal Wellard-Cole, Colin Cai, Irena Koprinska, Kalina Yacef, Margaret Allman-Farinelli, Judy Kay
Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale Nutrition Study. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (2) (2020)
Jessica McBroom, Irena Koprinska, Kalina Yacef
How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences. EDM (2020)
Yang Lin, Irena Koprinska, Mashud Rana
Temporal Convolutional Neural Networks for Solar Power Forecasting. IJCNN (2020)
Jessica McBroom, Kalina Yacef, Irena Koprinska
Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity. EDM (2020)
Jessica McBroom, Irena Koprinska, Kalina Yacef
Understanding Gender Differences to Improve Equity in Computer Programming Education. ACE (2020)
Yang Lin, Irena Koprinska, Mashud Rana
SpringNet: Transformer and Spring DTW for Time Series Forecasting. ICONIP (3) (2020)
Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. ICANN (1) (2020)
Zezhou Chen, Irena Koprinska
Ensemble Methods for Solar Power Forecasting. IJCNN (2020)
Givanna H. Putri, Mark N. Read, Irena Koprinska, Thomas M. Ashhurst, Nicholas J. C. King
Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data. ICANN (4) (2019)
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
Big data solar power forecasting based on deep learning and multiple data sources. Expert Syst. J. Knowl. Eng. 36 (4) (2019)
Irena Koprinska, Mashud Rana, Ashfaqur Rahman
Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. ICANN (4) (2019)
Antonio Galicia, Ricardo L. Talavera-Llames, Alicia Troncoso Lora, Irena Koprinska, Francisco Martínez-Álvarez
Multi-step forecasting for big data time series based on ensemble learning. Knowl. Based Syst. 163 (2019)
Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li, Sabina Kleitman
Detecting Personality Traits Using Eye-Tracking Data. CHI (2019)
Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
Pattern Sequence Neural Network for Solar Power Forecasting. ICONIP (5) (2019)
Givanna H. Putri, Mark N. Read, Irena Koprinska, Deeksha Singh, Uwe Röhm, Thomas M. Ashhurst, Nicholas J. C. King
ChronoClust: Density-based clustering and cluster tracking in high-dimensional time-series data. Knowl. Based Syst. 174 (2019)
Jessica McBroom, Irena Koprinska, Kalina Yacef
A Survey of Automated Programming Hint Generation - The HINTS Framework. CoRR (2019)
Rim Haidar, Irena Koprinska, Bryn Jeffries
Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection. ICONIP (1) (2019)
Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher B. Miller, Ronald R. Grunstein
Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables. Knowl. Based Syst. 183 (2019)
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. SOCO-CISIS-ICEUTE (2018)
Rim Haidar, Stephen McCloskey, Irena Koprinska, Bryn Jeffries
Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events. IJCNN (2018)
Stephen McCloskey, Rim Haidar, Irena Koprinska, Bryn Jeffries
Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow. PAKDD (1) (2018)
Irena Koprinska, Dengsong Wu, Zheng Wang
Convolutional Neural Networks for Energy Time Series Forecasting. IJCNN (2018)
Zheng Wang, Irena Koprinska
Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks. ICANN (1) (2018)
Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez
Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. IJCNN (2018)
Jessica McBroom, Kalina Yacef, Irena Koprinska, James R. Curran
A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors. AIED (1) (2018)
Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen
Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. WWW (Companion Volume) (2017)
Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane
UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. UMAP (Adjunct Publication) (2017)
Ahmed Al-Ani, Irena Koprinska, Ganesh R. Naik
Dynamically identifying relevant EEG channels by utilizing channels classification behaviour. Expert Syst. Appl. 83 (2017)
Zheng Wang, Irena Koprinska
Solar power prediction with data source weighted nearest neighbors. IJCNN (2017)
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. IJCAI (2017)
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. Trans. Large Scale Data Knowl. Centered Syst. 32 (2017)
Rim Haidar, Irena Koprinska, Bryn Jeffries
Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks. ICONIP (5) (2017)
Zheng Wang, Irena Koprinska, Mashud Rana
Solar Power Forecasting Using Pattern Sequences. ICANN (2) (2017)
Zheng Wang, Irena Koprinska, Mashud Rana
Solar power prediction using weather type pair patterns. IJCNN (2017)
Sammi Chow, Kalina Yacef, Irena Koprinska, James R. Curran
Automated Data-Driven Hints for Computer Programming Students. UMAP (Adjunct Publication) (2017)
Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis
Extended Weighted Nearest Neighbor for Electricity Load Forecasting. ICANN (2) (2016)
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
Discovering Temporal Purchase Patterns with Different Responses to Promotions. CIKM (2016)
Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
Solar power forecasting using weather type clustering and ensembles of neural networks. IJCNN (2016)
Vincent Gramoli, Michael A. Charleston, Bryn Jeffries, Irena Koprinska, Martin McGrane, Alex Radu, Anastasios Viglas, Kalina Yacef
Mining autograding data in computer science education. ACSW (2016)
Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. PAKDD (1) (2016)
Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Exploring and Following Students' Strategies When Completing Their Weekly Tasks. EDM (2016)
Mashud Rana, Irena Koprinska
Forecasting electricity load with advanced wavelet neural networks. Neurocomputing 182 (2016)
Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Mining behaviors of students in autograding submission system logs. EDM (2016)
Ahmed Al-Ani, Irena Koprinska, Ganesh R. Naik, Rami N. Khushaba
A dynamic channel selection algorithm for the classification of EEG and EMG data. IJCNN (2016)
Zheng Wang, Irena Koprinska, Mashud Rana
Clustering based methods for solar power forecasting. IJCNN (2016)
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. DaWaK (2015)
Ling Luo, Irena Koprinska, Wei Liu
Discrimination-Aware Classifiers for Student Performance Prediction. EDM (2015)
Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
Forecasting solar power generated by grid connected PV systems using ensembles of neural networks. IJCNN (2015)
Tommaso Colombo, Irena Koprinska, Massimo Panella
Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting. IJCNN (2015)
Irena Koprinska, Mashud Rana, Vassilios G. Agelidis
Correlation and instance based feature selection for electricity load forecasting. Knowl. Based Syst. 82 (2015)
Irena Koprinska, Joshua Stretton, Kalina Yacef
Predicting Student Performance from Multiple Data Sources. AIED (2015)
Irena Koprinska, Joshua Stretton, Kalina Yacef
Students at Risk: Detection and Remediation. EDM (2015)
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. Australasian Conference on Artificial Intelligence (2015)
Mashud Rana, Irena Koprinska, Alicia Troncoso Lora
Forecasting hourly electricity load profile using neural networks. IJCNN (2014)
Mashud Rana, Irena Koprinska, Abbas Khosravi
Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. ICANN (2013)
Luiz Augusto Sangoi Pizzato, Tomasz Rej, Joshua Akehurst, Irena Koprinska, Kalina Yacef, Judy Kay
Recommending people to people: the nature of reciprocal recommenders with a case study in online dating. User Model. User Adapt. Interact. 23 (5) (2013)
Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. IJCNN (2013)
Silvia Pareti, Timothy O'Keefe, Ioannis Konstas, James R. Curran, Irena Koprinska
Automatically Detecting and Attributing Indirect Quotations. EMNLP (2013)
Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska
Catch-up TV recommendations: show old favourites and find new ones. RecSys (2013)
Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis
Prediction intervals for electricity load forecasting using neural networks. IJCNN (2013)
Timothy O'Keefe, Kellie Webster, James R. Curran, Irena Koprinska
Examining the Impact of Coreference Resolution on Quote Attribution. ALTA (2013)
Timothy O'Keefe, James R. Curran, Peter Ashwell, Irena Koprinska
An annotated corpus of quoted opinions in news articles. ACL (2) (2013)
Mashud Rana, Irena Koprinska
Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance. ICANN (2013)
Mengxi Xu, Shlomo Berkovsky, Irena Koprinska, Sebastien Ardon, Kalina Yacef
Time dependency in TV viewer clustering. UMAP Workshops (2012)
Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
Feature Selection for Electricity Load Prediction. ICONIP (2) (2012)
Timothy O'Keefe, Silvia Pareti, James R. Curran, Irena Koprinska, Matthew Honnibal
A Sequence Labelling Approach to Quote Attribution. EMNLP-CoNLL (2012)
Luiz Augusto Sangoi Pizzato, Joshua Akehurst, Cameron Silvestrini, Kalina Yacef, Irena Koprinska, Judy Kay
The Effect of Suspicious Profiles on People Recommenders. UMAP (2012)
Irena Koprinska, Mashud Rana, Vassilios G. Agelidis
Electricity Load Forecasting: A Weekday-Based Approach. ICANN (2) (2012)
Alexandra Kotillova, Irena Koprinska, Mashud Rana
Statistical and Machine Learning Methods for Electricity Demand Prediction. ICONIP (2) (2012)

Irena Koprinska.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Irena Koprinska