Irena Koprinska

According to our database, Irena Koprinska authored at least 137 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Interpretable Methods for Early Prediction of Student Performance in Programming Courses.

Ziwei Wang, Irena Koprinska, Bryn Jeffries

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

Predicting Successful Programming Submissions Based on Critical Logic Blocks.

Ka Weng Pan, Bryn Jeffries, Irena Koprinska

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Sleep Apnea Prediction Using Deep Learning.

Eileen Wang, Irena Koprinska, Bryn Jeffries

IEEE J. Biomed. Health Informatics, November, 2023

Dynamic customer segmentation via hierarchical fragmentation-coagulation processes.

Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen

Mach. Learn., January, 2023

Convolutional and LSTM Neural Networks for Solar Power Forecasting.

Gavin Fungtammasan, Irena Koprinska

Proceedings of the International Joint Conference on Neural Networks, 2023

Predicting Progress in a Large-Scale Online Programming Course.

Vincent Zhang, Bryn Jeffries, Irena Koprinska

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Early Prediction of Student Performance in Online Programming Courses.

Enqi Liu, Irena Koprinska, Kalina Yacef

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

People-to-People Reciprocal Recommenders.

Irena Koprinska, Kalina Yacef

Proceedings of the Recommender Systems Handbook, 2022

Recursive tree grammar autoencoders.

Benjamin Paaßen, Irena Koprinska, Kalina Yacef

Mach. Learn., 2022

A Survey of Automated Programming Hint Generation: The HINTS Framework.

Jessica McBroom, Irena Koprinska, Kalina Yacef

ACM Comput. Surv., 2022

Insomnia Disorder Detection Using EEG Sleep Trajectories.

Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher Gordon, Ronald R. Grunstein

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Combining domain modelling and student modelling techniques in a single automated pipeline.

Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Conformal Multistep-Ahead Multivariate Time-Series Forecasting.

Filip Schlembach, Evgueni N. Smirnov, Irena Koprinska

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods.

Sophia Polito, Irena Koprinska, Bryn Jeffries

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Data Mining of Syntax Errors in a Large-Scale Online Python Course.

Jung A. Lee, Irena Koprinska, Bryn Jeffries

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

Temporal Convolutional Attention Neural Networks for Time Series Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana

Proceedings of the International Joint Conference on Neural Networks, 2021

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana

Proceedings of the IEEE International Conference on Data Mining, 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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

ast2vec: Utilizing Recursive Neural Encodings of Python Programs.

Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Progress Networks as a Tool for Analysing Student Programming Difficulties.

Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef

Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

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

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

Tree Echo State Autoencoders with Grammars.

Benjamin Paassen, Irena Koprinska, Kalina Yacef

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Temporal Convolutional Neural Networks for Solar Power Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains.

Rim Haidar, Irena Koprinska, Bryn Jeffries

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Ensemble Methods for Solar Power Forecasting.

Zezhou Chen, Irena Koprinska

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SpringNet: Transformer and Spring DTW for Time Series Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning.

Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves.

Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity.

Jessica McBroom, Kalina Yacef, Irena Koprinska

Proceedings of the 13th International Conference on Educational Data Mining, 2020

How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences.

Jessica McBroom, Irena Koprinska, Kalina Yacef

Proceedings of the 13th International Conference on Educational Data Mining, 2020

DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data.

Jessica McBroom, Kalina Yacef, Irena Koprinska

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Understanding Gender Differences to Improve Equity in Computer Programming Education.

Jessica McBroom, Irena Koprinska, Kalina Yacef

Proceedings of the ACE 2020, 2020

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

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

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

Big data solar power forecasting based on deep learning and multiple data sources.

José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez

Expert Syst. J. Knowl. Eng., 2019

Pattern Sequence Neural Network for Solar Power Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection.

Rim Haidar, Irena Koprinska, Bryn Jeffries

Proceedings of the Neural Information Processing - 26th International Conference, 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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting.

Irena Koprinska, Mashud Rana, Ashfaqur Rahman

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Detecting Personality Traits Using Eye-Tracking Data.

Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li, Sabina Kleitman

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Deep Learning for Big Data Time Series Forecasting Applied to Solar Power.

José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez

Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting.

Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Convolutional Neural Networks for Energy Time Series Forecasting.

Irena Koprinska, Dengsong Wu, Zheng Wang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events.

Rim Haidar, Stephen McCloskey, Irena Koprinska, Bryn Jeffries

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks.

Zheng Wang, Irena Koprinska

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors.

Jessica McBroom, Kalina Yacef, Irena Koprinska, James R. Curran

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.

Ling Luo, Wei Liu, Irena Koprinska, Fang Chen

Trans. Large Scale Data Knowl. Centered Syst., 2017

Dynamically identifying relevant EEG channels by utilizing channels classification behaviour.

Ahmed Al-Ani, Irena Koprinska, Ganesh R. Naik

Expert Syst. Appl., 2017

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

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization.

Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Automated Data-Driven Hints for Computer Programming Students.

Sammi Chow, Kalina Yacef, Irena Koprinska, James R. Curran

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Solar power prediction using weather type pair patterns.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Solar power prediction with data source weighted nearest neighbors.

Zheng Wang, Irena Koprinska

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process.

Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks.

Rim Haidar, Irena Koprinska, Bryn Jeffries

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Solar Power Forecasting Using Pattern Sequences.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Forecasting electricity load with advanced wavelet neural networks.

Mashud Rana, Irena Koprinska

Neurocomputing, 2016

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Clustering based methods for solar power forecasting.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Solar power forecasting using weather type clustering and ensembles of neural networks.

Mashud Rana, Irena Koprinska, Vassilios G. Agelidis

Proceedings of the 2016 International Joint Conference on Neural Networks, 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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Extended Weighted Nearest Neighbor for Electricity Load Forecasting.

Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Exploring and Following Students' Strategies When Completing Their Weekly Tasks.

Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Mining behaviors of students in autograding submission system logs.

Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Discovering Temporal Purchase Patterns with Different Responses to Promotions.

Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Mining autograding data in computer science education.

Vincent Gramoli, Michael A. Charleston, Bryn Jeffries, Irena Koprinska, Martin McGrane, Alex Radu, Anastasios Viglas, Kalina Yacef

Proceedings of the Australasian Computer Science Week Multiconference, 2016

2015

People-to-People Reciprocal Recommenders.

Irena Koprinska, Kalina Yacef

Proceedings of the Recommender Systems Handbook, 2015

Correlation and instance based feature selection for electricity load forecasting.

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis

Knowl. Based Syst., 2015

Forecasting solar power generated by grid connected PV systems using ensembles of neural networks.

Mashud Rana, Irena Koprinska, Vassilios G. Agelidis

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting.

Tommaso Colombo, Irena Koprinska, Massimo Panella

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Discrimination-Aware Classifiers for Student Performance Prediction.

Ling Luo, Irena Koprinska, Wei Liu

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Students at Risk: Detection and Remediation.

Irena Koprinska, Joshua Stretton, Kalina Yacef

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.

Ling Luo, Wei Liu, Irena Koprinska, Fang Chen

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.

Ling Luo, Wei Liu, Irena Koprinska, Fang Chen

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Predicting Student Performance from Multiple Data Sources.

Irena Koprinska, Joshua Stretton, Kalina Yacef

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014

Forecasting hourly electricity load profile using neural networks.

Mashud Rana, Irena Koprinska, Alicia Troncoso Lora

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

Catch-up TV recommendations: show old favourites and find new ones.

Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Prediction intervals for electricity load forecasting using neural networks.

Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.

Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martínez-Álvarez

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data.

Mashud Rana, Irena Koprinska, Abbas Khosravi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance.

Mashud Rana, Irena Koprinska

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Automatically Detecting and Attributing Indirect Quotations.

Silvia Pareti, Timothy O'Keefe, Ioannis Konstas, James R. Curran, Irena Koprinska

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

An annotated corpus of quoted opinions in news articles.

Timothy O'Keefe, James R. Curran, Peter Ashwell, Irena Koprinska

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Examining the Impact of Coreference Resolution on Quote Attribution.

Timothy O'Keefe, Kellie Webster, James R. Curran, Irena Koprinska

Proceedings of the Australasian Language Technology Association Workshop, 2013

2012

Time dependency in TV viewer clustering.

Mengxi Xu, Shlomo Berkovsky, Irena Koprinska, Sebastien Ardon, Kalina Yacef

Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

The Effect of Suspicious Profiles on People Recommenders.

Luiz Augusto Sangoi Pizzato, Joshua Akehurst, Cameron Silvestrini, Kalina Yacef, Irena Koprinska, Judy Kay

Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection.

Mashud Rana, Irena Koprinska

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Feature Selection for Electricity Load Prediction.

Mashud Rana, Irena Koprinska, Vassilios G. Agelidis

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Statistical and Machine Learning Methods for Electricity Demand Prediction.

Alexandra Kotillova, Irena Koprinska, Mashud Rana

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Electricity Load Forecasting: A Weekday-Based Approach.

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

A Sequence Labelling Approach to Quote Attribution.

Timothy O'Keefe, Silvia Pareti, James R. Curran, Irena Koprinska, Matthew Honnibal

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

Finding Someone You Will Like and Who Won't Reject You.

Luiz Augusto Sangoi Pizzato, Tomek Rej, Kalina Yacef, Irena Koprinska, Judy Kay

Proceedings of the User Modeling, Adaption and Personalization, 2011

Explicit and Implicit User Preferences in Online Dating.

Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Augusto Sangoi Pizzato, Judy Kay, Tomasz Rej

Proceedings of the New Frontiers in Applied Data Mining, 2011

Yearly and seasonal models for electricity load forecasting.

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

CCR - A Content-Collaborative Reciprocal Recommender for Online Dating.

Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Augusto Sangoi Pizzato, Judy Kay, Tomasz Rej

Proceedings of the IJCAI 2011, 2011

Mining Assessment and Teaching Evaluation Data of Regular, Advanced Stream Students.

Irena Koprinska

Proceedings of the 4th International Conference on Educational Data Mining, 2011

2010

Reciprocal Recommenders.

Luiz Pizzato, Tomek Rej, Thomas Chung, Kalina Yacef, Irena Koprinska, Judy Kay

Proceedings of the 8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2010

Reciprocal recommender system for online dating.

Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Kalina Yacef, Judy Kay

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

RECON: a reciprocal recommender for online dating.

Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Judy Kay

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Electricity load forecasting based on autocorrelation analysis.

Rohen Sood, Irena Koprinska, Vassilios G. Agelidis

Proceedings of the International Joint Conference on Neural Networks, 2010

Variable Selection for Five-Minute Ahead Electricity Load Forecasting.

Irena Koprinska, Rohen Sood, Vassilios G. Agelidis

Proceedings of the 20th International Conference on Pattern Recognition, 2010

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

Feature Selection for Brain-Computer Interfaces.

Irena Koprinska

Proceedings of the New Frontiers in Applied Data Mining, 2009

Very short-term electricity load demand forecasting using support vector regression.

Anthony Setiawan, Irena Koprinska, Vassilios G. Agelidis

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Semi-Supervised Classification Using Bridging.

Jason Chan, Irena Koprinska, Josiah Poon

Int. J. Artif. Intell. Tools, 2008

Classification of Brain-Computer Interface Data.

Omar AlZoubi, Irena Koprinska, Rafael A. Calvo

Proceedings of the Data Mining and Analytics 2008, 2008

2007

Learning to classify e-mail.

Irena Koprinska, Josiah Poon, James Clark, Jason Chan

Inf. Sci., 2007

Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging.

Jason Chan, Josiah Poon, Irena Koprinska

Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006

A Sequence Based Recommender System for Learning Resources.

Dean Cummins, Kalina Yacef, Irena Koprinska

Aust. J. Intell. Inf. Process. Syst., 2006

Co-training using RBF Nets and Different Feature Splits.

Felix Feger, Irena Koprinska

Proceedings of the International Joint Conference on Neural Networks, 2006

Image classification using labelled and unlabelled data.

Irena Koprinska, Da Deng, Felix Feger

Proceedings of the 14th European Signal Processing Conference, 2006

2005

Content-adaptive transmission of reconstructed soccer goal events over low bandwidth networks.

Qing Tang, Irena Koprinska, Jesse S. Jin

Proceedings of the 13th ACM International Conference on Multimedia, 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

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria.

Daren Ler, Irena Koprinska, Sanjay Chawla

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004

Co-training with a Single Natural Feature Set Applied to Email Classification.

Jason Chan, Irena Koprinska, Josiah Poon

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

A new landmarker generation algorithm based on correlativity.

Daren Ler, Irena Koprinska, Sanjay Chawla

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation.

Daren Ler, Irena Koprinska, Sanjay Chawla

Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria.

Daren Ler, Irena Koprinska, Sanjay Chawla

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Phrases and Feature Selection in E-Mail Classification.

Elisabeth Crawford, Irena Koprinska, Jon D. Patrick

Proceedings of the ADCS 2004, 2004

Co-Training on Textual Documents with a Single Natural Feature Set.

Jason Chan, Irena Koprinska, Josiah Poon

Proceedings of the ADCS 2004, 2004

2003

INTIMATE: A Web-Based Movie Recommender Using Text Categorization.

Harry Mak, Irena Koprinska, Josiah Poon

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

A Neural Network Based Approach to Automated E-Mail Classification.

James Clark, Irena Koprinska, Josiah Poon

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

2002

Hybrid Rule-Based/Neural Approach for Segmentation of MPEG Compressed Video.

Irena Koprinska, Sergio Carrato

Multim. Tools Appl., 2002

Integrating Local and Global Features in Automatic Fingerprint Verification.

Anna Ceguerra, Irena Koprinska

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Automatic Fingerprint Verification Using Neural Networks.

Anna Ceguerra, Irena Koprinska

Proceedings of the Artificial Neural Networks, 2002

A Multi-Learner Approach to E-mail Classification.

Elisabeth Crawford, Irena Koprinska, Jon D. Patrick

Proceedings of the ADCS 2002, 2002

2001

Temporal video segmentation: A survey.

Irena Koprinska, Sergio Carrato

Signal Process. Image Commun., 2001

2000

Evolving Fuzzy Neural Network for Camera Operations Recognition.

Irena Koprinska, Nikola K. Kasabov

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998

Video segmentation of MPEG compressed data.

Irena Koprinska, Sergio Carrato

Proceedings of the 5th IEEE International Conference on Electronics, Circuits and Systems, 1998

Detecting and classifying video shot boundaries in MPEG compressed sequences.

Irena Koprinska, Sergio Carrato

Proceedings of the 9th European Signal Processing Conference, 1998

1996

Sleep classification in infants by decision tree-based neural networks.

Irena Koprinska, Gert Pfurtscheller, Doris Flotzinger

Artif. Intell. Medicine, 1996