Irena Koprinska

157 papers A* 6A 8B 37C 7Misc 8Journal 31Unranked 53
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Machine Learning Approach for Predicting Student Progress in Online Programming Education.
Int. J. Artif. Intell. Educ.
Vincent Zhang, Bryn Jeffries, Irena Koprinska
2025 — conf
Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses.
AIED Companion (2)
Ziwei Wang, Irena Koprinska, María Martínez-Ballesteros, Alicia Troncoso, Bryn Jeffries
2025 J jnl
Conformal multistep-ahead multivariate time-series forecasting.
Mach. Learn.
Filip Schlembach, Evgueni N. Smirnov, Irena Koprinska, Mark H. M. Winands
2025 Misc conf
Dynamic Meta-learning Ensemble with Pairwise Comparisons and Hierarchical Clustering for Financial Time Series Forecasting.
AusDM
Hanxue Yao, Irena Koprinska
2025 — conf
Insomnia Detection Based on Brain State Sleep Trajectories.
PAKDD (7)
Xiaojing Ren, Irena Koprinska, Natalie Astalosh, Stephen McCloskey, Bryn Jeffries
2025 — conf
Mining Student Activity Sequences in a Large-Scale Online Programming Course.
AIED Companion (2)
Ziwei Wang, Bryn Jeffries, Irena Koprinska
2024 — conf
Interpretable Methods for Early Prediction of Student Performance in Programming Courses.
AIED Companion (2)
Ziwei Wang, Irena Koprinska, Bryn Jeffries
2024 — conf
Predicting Successful Programming Submissions Based on Critical Logic Blocks.
AIED (2)
Ka Weng Pan, Bryn Jeffries, Irena Koprinska
2024 — conf
Seq-LSTM-Conv: Multi-Sequence Aggregated Forecasting Using LSTM and Convolutional Neural Networks.
ICONIP (6)
Gavin Fungtammasan, Irena Koprinska
2023 B conf
Convolutional and LSTM Neural Networks for Solar Power Forecasting.
IJCNN
Gavin Fungtammasan, Irena Koprinska
2023 J jnl
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes.
Mach. Learn.
Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen
2023 — conf
Early Prediction of Student Performance in Online Programming Courses.
AIED (Posters/Late Breaking Results/...)
Enqi Liu, Irena Koprinska, Kalina Yacef
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 A conf
Predicting Progress in a Large-Scale Online Programming Course.
AIED
Vincent Zhang, Bryn Jeffries, Irena Koprinska
2023 J jnl
Sleep Apnea Prediction Using Deep Learning.
IEEE J. Biomed. Health Informatics
Eileen Wang, Irena Koprinska, Bryn Jeffries
2022 — conf
115 Ways Not to Say Hello, World!: Syntax Errors Observed in a Large-Scale Online CS0 Python Course.
ITiCSE (1)
Bryn Jeffries, Jung A Lee, Irena Koprinska
2022 J jnl
A Survey of Automated Programming Hint Generation: The HINTS Framework.
ACM Comput. Surv.
Jessica McBroom, Irena Koprinska, Kalina Yacef
2022 B conf
Combining domain modelling and student modelling techniques in a single automated pipeline.
EDM
Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef
2022 — conf
Conformal Multistep-Ahead Multivariate Time-Series Forecasting.
COPA
Filip Schlembach, Evgueni N. Smirnov, Irena Koprinska
2022 — conf
Data Mining of Syntax Errors in a Large-Scale Online Python Course.
AIED (2)
Jung A Lee, Irena Koprinska, Bryn Jeffries
2022 — conf
Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods.
AIED (2)
Sophia Polito, Irena Koprinska, Bryn Jeffries
2022 — conf
Insomnia Disorder Detection Using EEG Sleep Trajectories.
PAKDD (3)
Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher James Gordon, Ronald R. Grunstein
2022 — ch.
People-to-People Reciprocal Recommenders.
Recommender Systems Handbook
Irena Koprinska, Kalina Yacef
2022 J jnl
Recursive tree grammar autoencoders.
Mach. Learn.
Benjamin Paaßen, Irena Koprinska, Kalina Yacef
2021 — conf
Association of Longitudinal Sleep and Next-day Indoor Mobility Measured via Passive Sensors among Community-dwelling Older Adults.
EMBC
Yang Gao, Mahnoosh Kholghi, Irena Koprinska, Qing Zhang
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — conf
Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper).
EDM (Workshops)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2021 C conf
Progress Networks as a Tool for Analysing Student Programming Difficulties.
ACE
Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2021 A* conf
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting.
ICDM
Yang Lin, Irena Koprinska, Mashud Rana
2021 J jnl
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting.
CoRR
Yang Lin, Irena Koprinska, Mashud Rana
2021 B conf
Temporal Convolutional Attention Neural Networks for Time Series Forecasting.
IJCNN
Yang Lin, Irena Koprinska, Mashud Rana
2021 J jnl
Using single-cell cytometry to illustrate integrated multi-perspective evaluation of clustering algorithms using Pareto fronts.
Bioinform.
Givanna H. Putri, Irena Koprinska, Thomas M. Ashhurst, Nicholas J. C. King, Mark N. Read
2021 B conf
ast2vec: Utilizing Recursive Neural Encodings of Python Programs.
EDM
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2021 J jnl
ast2vec: Utilizing Recursive Neural Encodings of Python Programs.
CoRR
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2020 — conf
DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data.
AIED (1)
Jessica McBroom, Kalina Yacef, Irena Koprinska
2020 J jnl
DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data.
CoRR
Jessica McBroom, Kalina Yacef, Irena Koprinska
2020 — conf
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves.
EMBC
Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li
2020 — ed.
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings
PKDD/ECML Workshops
Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020 B conf
Ensemble Methods for Solar Power Forecasting.
IJCNN
Zezhou Chen, Irena Koprinska
2020 J jnl
Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale Nutrition Study.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Jisu Jung, Lyndal Wellard-Cole, Colin Cai, Irena Koprinska, Kalina Yacef, Margaret Allman-Farinelli, Judy Kay
2020 B conf
How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences.
EDM
Jessica McBroom, Irena Koprinska, Kalina Yacef
2020 J jnl
Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli.
ACM Trans. Interact. Intell. Syst.
Ronnie Taib, Shlomo Berkovsky, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li
2020 J jnl
Recursive Tree Grammar Autoencoders.
CoRR
Benjamin Paassen, Irena Koprinska, Kalina Yacef
2020 B conf
Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity.
EDM
Jessica McBroom, Kalina Yacef, Irena Koprinska
2020 B conf
Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains.
IJCNN
Rim Haidar, Irena Koprinska, Bryn Jeffries
2020 — conf
Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning.
ICANN (1)
Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
2020 — conf
SpringNet: Transformer and Spring DTW for Time Series Forecasting.
ICONIP (3)
Yang Lin, Irena Koprinska, Mashud Rana
2020 B conf
Temporal Convolutional Neural Networks for Solar Power Forecasting.
IJCNN
Yang Lin, Irena Koprinska, Mashud Rana
2020 B conf
Tree Echo State Autoencoders with Grammars.
IJCNN
Benjamin Paassen, Irena Koprinska, Kalina Yacef
2020 J jnl
Tree Echo State Autoencoders with Grammars.
CoRR
Benjamin Paassen, Irena Koprinska, Kalina Yacef
2020 C conf
Understanding Gender Differences to Improve Equity in Computer Programming Education.
ACE
Jessica McBroom, Irena Koprinska, Kalina Yacef
2019 J jnl
A Survey of Automated Programming Hint Generation - The HINTS Framework.
CoRR
Jessica McBroom, Irena Koprinska, Kalina Yacef
2019 J jnl
Big data solar power forecasting based on deep learning and multiple data sources.
Expert Syst. J. Knowl. Eng.
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
2019 J jnl
ChronoClust: Density-based clustering and cluster tracking in high-dimensional time-series data.
Knowl. Based Syst.
Givanna H. Putri, Mark N. Read, Irena Koprinska, Deeksha Singh, Uwe Röhm, Thomas M. Ashhurst, Nicholas J. C. King
2019 J jnl
Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables.
Knowl. Based Syst.
Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher B. Miller, Ronald R. Grunstein
2019 A* conf
Detecting Personality Traits Using Eye-Tracking Data.
CHI
Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li, Sabina Kleitman
2019 — conf
Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data.
ICANN (4)
Givanna H. Putri, Mark N. Read, Irena Koprinska, Thomas M. Ashhurst, Nicholas J. C. King
2019 — conf
Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting.
ICANN (4)
Irena Koprinska, Mashud Rana, Ashfaqur Rahman
2019 — conf
Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection.
ICONIP (1)
Rim Haidar, Irena Koprinska, Bryn Jeffries
2019 J jnl
Multi-step forecasting for big data time series based on ensemble learning.
Knowl. Based Syst.
Antonio Galicia, Ricardo L. Talavera-Llames, Alicia Troncoso Lora, Irena Koprinska, Francisco Martínez-Álvarez
2019 — conf
Pattern Sequence Neural Network for Solar Power Forecasting.
ICONIP (5)
Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
2018 — conf
A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors.
AIED (1)
Jessica McBroom, Kalina Yacef, Irena Koprinska, James R. Curran
2018 B conf
Convolutional Neural Networks for Energy Time Series Forecasting.
IJCNN
Irena Koprinska, Dengsong Wu, Zheng Wang
2018 B conf
Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events.
IJCNN
Rim Haidar, Stephen McCloskey, Irena Koprinska, Bryn Jeffries
2018 — conf
Deep Learning for Big Data Time Series Forecasting Applied to Solar Power.
SOCO-CISIS-ICEUTE
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
2018 — conf
Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow.
PAKDD (1)
Stephen McCloskey, Rim Haidar, Irena Koprinska, Bryn Jeffries
2018 — conf
Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks.
ICANN (1)
Zheng Wang, Irena Koprinska
2018 B conf
Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting.
IJCNN
Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez
2017 — conf
Automated Data-Driven Hints for Computer Programming Students.
UMAP (Adjunct Publication)
Sammi Chow, Kalina Yacef, Irena Koprinska, James R. Curran
2017 J jnl
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.
Trans. Large Scale Data Knowl. Centered Syst.
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2017 J jnl
Dynamically identifying relevant EEG channels by utilizing channels classification behaviour.
Expert Syst. Appl.
Ahmed Al-Ani, Irena Koprinska, Ganesh R. Naik
2017 — conf
Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program.
WWW (Companion Volume)
Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen
2017 — conf
Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks.
ICONIP (5)
Rim Haidar, Irena Koprinska, Bryn Jeffries
2017 — conf
Solar Power Forecasting Using Pattern Sequences.
ICANN (2)
Zheng Wang, Irena Koprinska, Mashud Rana
2017 B conf
Solar power prediction using weather type pair patterns.
IJCNN
Zheng Wang, Irena Koprinska, Mashud Rana
2017 B conf
Solar power prediction with data source weighted nearest neighbors.
IJCNN
Zheng Wang, Irena Koprinska
2017 A* conf
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process.
IJCAI
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
2017 — conf
UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization.
UMAP (Adjunct Publication)
Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane
2016 B conf
A dynamic channel selection algorithm for the classification of EEG and EMG data.
IJCNN
Ahmed Al-Ani, Irena Koprinska, Ganesh R. Naik, Rami N. Khushaba
2016 B conf
Clustering based methods for solar power forecasting.
IJCNN
Zheng Wang, Irena Koprinska, Mashud Rana
2016 A conf
Discovering Temporal Purchase Patterns with Different Responses to Promotions.
CIKM
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
2016 B conf
Exploring and Following Students' Strategies When Completing Their Weekly Tasks.
EDM
Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2016 — conf
Extended Weighted Nearest Neighbor for Electricity Load Forecasting.
ICANN (2)
Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis
2016 J jnl
Forecasting electricity load with advanced wavelet neural networks.
Neurocomputing
Mashud Rana, Irena Koprinska
2016 — conf
Mining autograding data in computer science education.
ACSW
Vincent Gramoli, Michael A. Charleston, Bryn Jeffries, Irena Koprinska, Martin McGrane, Alex Radu, Anastasios Viglas, Kalina Yacef
2016 B conf
Mining behaviors of students in autograding submission system logs.
EDM
Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2016 B conf
Solar power forecasting using weather type clustering and ensembles of neural networks.
IJCNN
Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
2016 — conf
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling.
PAKDD (1)
Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen
2015 J jnl
Correlation and instance based feature selection for electricity load forecasting.
Knowl. Based Syst.
Irena Koprinska, Mashud Rana, Vassilios G. Agelidis
2015 — conf
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.
Australasian Conference on Artificial Intelligence
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2015 B conf
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.
DaWaK
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2015 B conf
Discrimination-Aware Classifiers for Student Performance Prediction.
EDM
Ling Luo, Irena Koprinska, Wei Liu
2015 B conf
Forecasting solar power generated by grid connected PV systems using ensembles of neural networks.
IJCNN
Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
2015 B conf
Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting.
IJCNN
Tommaso Colombo, Irena Koprinska, Massimo Panella
2015 — ch.
People-to-People Reciprocal Recommenders.
Recommender Systems Handbook
Irena Koprinska, Kalina Yacef
2015 A conf
Predicting Student Performance from Multiple Data Sources.
AIED
Irena Koprinska, Joshua Stretton, Kalina Yacef
2015 B conf
Students at Risk: Detection and Remediation.
EDM
Irena Koprinska, Joshua Stretton, Kalina Yacef
2014 B conf
Forecasting hourly electricity load profile using neural networks.
IJCNN
Mashud Rana, Irena Koprinska, Alicia Troncoso Lora
2013 — conf
An annotated corpus of quoted opinions in news articles.
ACL (2)
Timothy O'Keefe, James R. Curran, Peter Ashwell, Irena Koprinska
2013 A* conf
Automatically Detecting and Attributing Indirect Quotations.
EMNLP
Silvia Pareti, Timothy O'Keefe, Ioannis Konstas, James R. Curran, Irena Koprinska
2013 A conf
Catch-up TV recommendations: show old favourites and find new ones.
RecSys
Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska
2013 B conf
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.
IJCNN
Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2013 Misc conf
Examining the Impact of Coreference Resolution on Quote Attribution.
ALTA
Timothy O'Keefe, Kellie Webster, James R. Curran, Irena Koprinska
2013 C conf
Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data.
ICANN
Mashud Rana, Irena Koprinska, Abbas Khosravi
2013 B conf
Prediction intervals for electricity load forecasting using neural networks.
IJCNN
Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis
2013 J jnl
Recommending people to people: the nature of reciprocal recommenders with a case study in online dating.
User Model. User Adapt. Interact.
Luiz Augusto Sangoi Pizzato, Tomasz Rej, Joshua Akehurst, Irena Koprinska, Kalina Yacef, Judy Kay
2013 C conf
Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance.
ICANN
Mashud Rana, Irena Koprinska
2012 — conf
A Sequence Labelling Approach to Quote Attribution.
EMNLP-CoNLL
Timothy O'Keefe, Silvia Pareti, James R. Curran, Irena Koprinska, Matthew Honnibal
2012 — conf
Electricity Load Forecasting: A Weekday-Based Approach.
ICANN (2)
Irena Koprinska, Mashud Rana, Vassilios G. Agelidis
2012 B conf
Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection.
IJCNN
Mashud Rana, Irena Koprinska
2012 — conf
Feature Selection for Electricity Load Prediction.
ICONIP (2)
Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
2012 — conf
Statistical and Machine Learning Methods for Electricity Demand Prediction.
ICONIP (2)
Alexandra Kotillova, Irena Koprinska, Mashud Rana
2012 A conf
The Effect of Suspicious Profiles on People Recommenders.
UMAP
Luiz Augusto Sangoi Pizzato, Joshua Akehurst, Cameron Silvestrini, Kalina Yacef, Irena Koprinska, Judy Kay
2012 — conf
Time dependency in TV viewer clustering.
UMAP Workshops
Mengxi Xu, Shlomo Berkovsky, Irena Koprinska, Sebastien Ardon, Kalina Yacef
2011 A* conf
CCR - A Content-Collaborative Reciprocal Recommender for Online Dating.
IJCAI
Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Augusto Sangoi Pizzato, Judy Kay, Tomasz Rej
2011 — conf
Explicit and Implicit User Preferences in Online Dating.
PAKDD Workshops
Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Augusto Sangoi Pizzato, Judy Kay, Tomasz Rej
2011 A conf
Finding Someone You Will Like and Who Won't Reject You.
UMAP
Luiz Augusto Sangoi Pizzato, Tomek Rej, Kalina Yacef, Irena Koprinska, Judy Kay
2011 B conf
Mining Assessment and Teaching Evaluation Data of Regular, Advanced Stream Students.
EDM
Irena Koprinska
2011 B conf
Yearly and seasonal models for electricity load forecasting.
IJCNN
Irena Koprinska, Mashud Rana, Vassilios G. Agelidis
2010 B conf
Electricity load forecasting based on autocorrelation analysis.
IJCNN
Rohen Sood, Irena Koprinska, Vassilios G. Agelidis
2010 A conf
RECON: a reciprocal recommender for online dating.
RecSys
Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Judy Kay
2010 — conf
Reciprocal Recommenders.
ITWP@UMAP
Luiz Pizzato, Tomek Rej, Thomas Chung, Kalina Yacef, Irena Koprinska, Judy Kay
2010 A conf
Reciprocal recommender system for online dating.
RecSys
Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Kalina Yacef, Judy Kay
2010 B conf
Variable Selection for Five-Minute Ahead Electricity Load Forecasting.
ICPR
Irena Koprinska, Rohen Sood, Vassilios G. Agelidis
2009 J jnl
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data.
IEEE Trans. Knowl. Data Eng.
Dilhan Perera, Judy Kay, Irena Koprinska, Kalina Yacef, Osmar R. Zaïane
2009 — conf
Feature Selection for Brain-Computer Interfaces.
PAKDD Workshops
Irena Koprinska
2009 B conf
Very short-term electricity load demand forecasting using support vector regression.
IJCNN
Anthony Setiawan, Irena Koprinska, Vassilios G. Agelidis
2008 Misc conf
Classification of Brain-Computer Interface Data.
AusDM
Omar AlZoubi, Irena Koprinska, Rafael A. Calvo
2008 J jnl
Semi-Supervised Classification Using Bridging.
Int. J. Artif. Intell. Tools
Jason Chan, Irena Koprinska, Josiah Poon
2007 Misc conf
Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging.
FLAIRS
Jason Chan, Josiah Poon, Irena Koprinska
2007 J jnl
Learning to classify e-mail.
Inf. Sci.
Irena Koprinska, Josiah Poon, James Clark, Jason Chan
2006 J jnl
A Sequence Based Recommender System for Learning Resources.
Aust. J. Intell. Inf. Process. Syst.
Dean Cummins, Kalina Yacef, Irena Koprinska
2006 B conf
Co-training using RBF Nets and Different Feature Splits.
IJCNN
Felix Feger, Irena Koprinska
2006 — conf
Image classification using labelled and unlabelled data.
EUSIPCO
Irena Koprinska, Da Deng, Felix Feger
2005 Misc conf
A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria.
FLAIRS
Daren Ler, Irena Koprinska, Sanjay Chawla
2005 A* conf
Content-adaptive transmission of reconstructed soccer goal events over low bandwidth networks.
ACM Multimedia
Qing Tang, Irena Koprinska, Jesse S. Jin
2005 — conf
Estimation of the Hierarchical Structure of a Video Sequence Using MPEG-7 Descriptors and GCS.
KES (2)
Masoumeh D. Saberi, Sergio Carrato, Irena Koprinska, James Clark
2004 — conf
A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria.
Australian Conference on Artificial Intelligence
Daren Ler, Irena Koprinska, Sanjay Chawla
2004 C conf
A new landmarker generation algorithm based on correlativity.
ICMLA
Daren Ler, Irena Koprinska, Sanjay Chawla
2004 Misc conf
Co-Training on Textual Documents with a Single Natural Feature Set.
ADCS
Jason Chan, Irena Koprinska, Josiah Poon
2004 — conf
Co-training with a Single Natural Feature Set Applied to Email Classification.
Web Intelligence
Jason Chan, Irena Koprinska, Josiah Poon
2004 C conf
Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation.
HIS
Daren Ler, Irena Koprinska, Sanjay Chawla
2004 Misc conf
Phrases and Feature Selection in E-Mail Classification.
ADCS
Elisabeth Crawford, Irena Koprinska, Jon D. Patrick
2004 B conf
Video summarization and browsing using growing cell structures.
IJCNN
Irena Koprinska, James Clark
2003 — conf
A Neural Network Based Approach to Automated E-Mail Classification.
Web Intelligence
James Clark, Irena Koprinska, Josiah Poon
2003 — conf
INTIMATE: A Web-Based Movie Recommender Using Text Categorization.
Web Intelligence
Harry Mak, Irena Koprinska, Josiah Poon
2002 Misc conf
A Multi-Learner Approach to E-mail Classification.
ADCS
Elisabeth Crawford, Irena Koprinska, Jon D. Patrick
2002 C conf
Automatic Fingerprint Verification Using Neural Networks.
ICANN
Anna Ceguerra, Irena Koprinska
2002 J jnl
Hybrid Rule-Based/Neural Approach for Segmentation of MPEG Compressed Video.
Multim. Tools Appl.
Irena Koprinska, Sergio Carrato
2002 — conf
Integrating Local and Global Features in Automatic Fingerprint Verification.
ICPR (3)
Anna Ceguerra, Irena Koprinska
2001 J jnl
Temporal video segmentation: A survey.
Signal Process. Image Commun.
Irena Koprinska, Sergio Carrato
2000 B conf
Evolving Fuzzy Neural Network for Camera Operations Recognition.
ICPR
Irena Koprinska, Nikola K. Kasabov
1998 — conf
Detecting and classifying video shot boundaries in MPEG compressed sequences.
EUSIPCO
Irena Koprinska, Sergio Carrato
1998 — conf
Video segmentation of MPEG compressed data.
ICECS
Irena Koprinska, Sergio Carrato
1996 J jnl
Sleep classification in infants by decision tree-based neural networks.
Artif. Intell. Medicine
Irena Koprinska, Gert Pfurtscheller, Doris Flotzinger