Irena Koprinska

发表

SpringNet: Transformer and Spring DTW for Time Series Forecasting

Yang Lin, Irena Koprinska, Mashud Rana, 2020, ICONIP.

A Multi-Learner Approach to E-mail Classification

Irena Koprinska, Elisabeth Crawford, Jon Patrick, 2002, ADCS.

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

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2019, ACM Comput. Surv..

Ensemble Methods for Solar Power Forecasting

Irena Koprinska, Zezhou Chen, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Solar Power Forecasting Using Pattern Sequences

Zheng Wang, Irena Koprinska, Mashud Rana, 2017, ICANN.

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

Irena Koprinska, Josiah Poon, Jason Chan, 2004, ADCS.

Evolving fuzzy neural network for camera operations recognition

Irena Koprinska, Nikola K. Kasabov, N. Kasabov, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

A Sequence Based Recommender System for Learning Resources

Irena Koprinska, Kalina Yacef, Dean Cummins, 2006, Aust. J. Intell. Inf. Process. Syst..

Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale Nutrition Study

Judy Kay, Irena Koprinska, Kalina Yacef, 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

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

Zheng Wang, Irena Koprinska, Zheng Wang, 2018, ICANN.

Finding someone you will like and who won't reject you

Judy Kay, Irena Koprinska, Kalina Yacef, 2011, UMAP'11.

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

Fang Chen, Irena Koprinska, Ling Luo, 2017, IJCAI.

Estimation of the Hierarchical Structure of a Video Sequence Using MPEG-7 Descriptors and GCS

Irena Koprinska, Sergio Carrato, Masoumeh D. Saberi, 2005, KES.

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

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Proposed Meta-learning Framework for Algorithm Selection Utilising Regression-based Landmarkers

Irena Koprinska, Sanjay Chawla, Daren Ler, 2006 .

Image classification using labelled and unlabelled data

Irena Koprinska, Jeremiah D. Deng, Felix Feger, 2006, 2006 14th European Signal Processing Conference.

SEGMENTATION TECHNIQUES FOR VIDEO SEQUENCES IN THE DOMAIN OF MPEG-COMPRESSED DATA

Irena Koprinska, Sergio Carrato, Sergio Carrato, 2003 .

RECON: a reciprocal recommender for online dating

Judy Kay, Irena Koprinska, Luiz Augusto Sangoi Pizzato, 2010, RecSys '10.

Integrating local and global features in automatic fingerprint verification

Irena Koprinska, Anna Ceguerra, 2002, Object recognition supported by user interaction for service robots.

The University of Sydney Faculty of Engineering School of Electrical Engineering

Irena Koprinska, Jim Rathmell, 2009 .

Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

Judy Kay, Irena Koprinska, Osmar R. Zaïane, 2009, IEEE Transactions on Knowledge and Data Engineering.

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

Irena Koprinska, Alicia Troncoso Lora, Zheng Wang, 2019, Expert Syst. J. Knowl. Eng..

A Sequence Labelling Approach to Quote Attribution

James R. Curran, Irena Koprinska, Matthew Honnibal, 2012, EMNLP.

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

Irena Koprinska, Mashud Rana, 2013, ICANN.

Educational Data Mining to Support Group Work in Software Development Projects

Judy Kay, Irena Koprinska, Kalina Yacef, 2010 .

Classification of Brain-Computer Interface Data

Irena Koprinska, Omar AlZoubi, Rafael A. Calvo, 2008, AusDM.

2D-interval forecasts for solar power production

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis, 2015 .

Solar power prediction with data source weighted nearest neighbors

Zheng Wang, Irena Koprinska, Zheng Wang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Statistical and Machine Learning Methods for Electricity Demand Prediction

Irena Koprinska, Mashud Rana, Alexandra Kotillova, 2012, ICONIP.

Univariate and multivariate methods for very short-term solar photovoltaic power forecasting

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis, 2016 .

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization

Irena Koprinska, Olga C. Santos, Kurt Driessens, 2017, UMAP.

Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables

Irena Koprinska, Bryn Jeffries, Ronald R. Grunstein, 2019, Knowl. Based Syst..

Discrimination-Aware Classifiers for Student Performance Prediction

Irena Koprinska, Ling Luo, Wei Liu, 2015, EDM.

Solar power prediction using weather type pair patterns

Zheng Wang, Irena Koprinska, Mashud Rana, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Personality Sensing

Irena Koprinska, Ronnie Taib, Shlomo Berkovsky, 2020, ACM Trans. Interact. Intell. Syst..

Detecting and classifying video shot boundaries in MPEG compressed sequences

Irena Koprinska, Sergio Carrato, Sergio Carrato, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

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

Irena Koprinska, Vassilios G. Agelidis, Anthony Setiawan, 2009, 2009 International Joint Conference on Neural Networks.

ChronoClust: Density-based clustering and cluster tracking in high-dimensional time-series data

Irena Koprinska, Uwe Röhm, Deeksha Singh, 2019, Knowl. Based Syst..

Sleep classification in infants by decision tree-based neural networks

Irena Koprinska, Gert Pfurtscheller, Doris Flotzinger, 1996, Artif. Intell. Medicine.

Time dependency in TV viewer clustering

Irena Koprinska, Mengxi Xu, Kalina Yacef, 2012, UMAP Workshops.

Automatically Detecting and Attributing Indirect Quotations

James R. Curran, Irena Koprinska, Ioannis Konstas, 2013, EMNLP.

Convolutional Neural Networks for Energy Time Series Forecasting

Irena Koprinska, Zheng Wang, Dengsong Wu, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow

Irena Koprinska, Bryn Jeffries, Rim Haidar, 2018, PAKDD.

Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains

Irena Koprinska, Bryn Jeffries, Rim Haidar, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Variable Selection for Five-Minute Ahead Electricity Load Forecasting

Irena Koprinska, Vassilios G. Agelidis, Rohen Sood, 2010, 2010 20th International Conference on Pattern Recognition.

Recursive Tree Grammar Autoencoders pdf

Irena Koprinska, Kalina Yacef, Benjamin Paassen, 2020, ArXiv.

Mining behaviors of students in autograding submission system logs

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2016, EDM.

Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling

Fang Chen, Irena Koprinska, Ling Luo, 2016, PAKDD.

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

Irena Koprinska, Jesse S. Jin, Qing Tang, 2005, MULTIMEDIA '05.

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

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2020, EDM.

Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data

Irena Koprinska, Nicholas J. C. King, Mark N. Read, 2019, ICANN.

Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting

Irena Koprinska, Alicia Troncoso Lora, Zheng Wang, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2020, EDM.

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

Wei Liu, Fang Chen, Irena Koprinska, 2017, Trans. Large Scale Data Knowl. Centered Syst..

Electricity load forecasting based on autocorrelation analysis

Irena Koprinska, Vassilios G. Agelidis, Rohen Sood, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Temporal video segmentation: A survey

Irena Koprinska, Sergio Carrato, Sergio Carrato, 2001, Signal Process. Image Commun..

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

Irena Koprinska, Sanjay Chawla, Daren Ler, 2005, FLAIRS.

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

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program

Fang Chen, Irena Koprinska, Ling Luo, 2017, WWW.

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality

Fang Chen, Irena Koprinska, Ling Luo, 2015, Australasian Conference on Artificial Intelligence.

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

Irena Koprinska, Bryn Jeffries, Rim Haidar, 2019, ICONIP.

Automatic Fingerprint Verification Using Neural Networks

Irena Koprinska, Anna Ceguerra, A. Ceguerra, 2002, ICANN.

Evolving connectionist systems for on-line pattern classification of multimedia data

Nikola Kasabov, Irena Koprinska, Georgi Iliev, 2008 .

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

Irena Koprinska, Mashud Rana, I. Koprinska, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Recommending people to people The nature of reciprocal recommenders with a case study in online dating

Judy Kay, Irena Koprinska, Kalina Yacef, 2012 .

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

Irena Koprinska, Sergio Carrato, Sergio Carrato, 2002, Multimedia Tools and Applications.

Reciprocal recommender system for online dating

Judy Kay, Irena Koprinska, Kalina Yacef, 2010, RecSys '10.

Predicting Student Performance from Multiple Data Sources

Irena Koprinska, Kalina Yacef, Joshua Stretton, 2015, AIED.

Automated Data-Driven Hints for Computer Programming Students

James R. Curran, Irena Koprinska, Kalina Yacef, 2017, UMAP.

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

Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, 2020, ICANN.

Feature Selection for Electricity Load Prediction

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis, 2012, ICONIP.

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

Irena Koprinska, Bryn Jeffries, Rim Haidar, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

CCR - A Content-Collaborative Reciprocal Recommender for Online Dating

Judy Kay, Irena Koprinska, Kalina Yacef, 2011, IJCAI.

Detecting Personality Traits Using Eye-Tracking Data

Irena Koprinska, Ronnie Taib, Shlomo Berkovsky, 2019, CHI.

Pattern Sequence Neural Network for Solar Power Forecasting

Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, 2019, ICONIP.

Time-Dependent Clustering of TV Viewers

Irena Koprinska, Mengxi Xu, Kalina Yacef, 2012 .

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

Irena Koprinska, Mengxi Xu, Anirban Mahanti, 2013, RecSys.

Yearly and seasonal models for electricity load forecasting

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis, 2011, The 2011 International Joint Conference on Neural Networks.

The effect of suspicious profiles on people recommenders

Judy Kay, Irena Koprinska, Kalina Yacef, 2012, UMAP.

Discovering Temporal Purchase Patterns with Different Responses to Promotions

Fang Chen, Irena Koprinska, Ling Luo, 2016, CIKM.

Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting

Irena Koprinska, Massimo Panella, Tommaso Colombo, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Feature Selection for Interval Forecasting of Electricity Demand Time Series Data

Irena Koprinska, Mashud Rana, Abbas Khosravi, 2015 .

LINGER – A SMART PERSONAL ASSISTANT FOR E-MAIL CLASSIFICATION

Irena Koprinska, James Clark, Josiah Poon, 2003 .

A dynamic channel selection algorithm for the classification of EEG and EMG data

Ganesh R. Naik, Irena Koprinska, Rami N. Khushaba, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

DNA microarray data clustering using growing self organizing networks

Irena Koprinska, K. Jackson, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

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

Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Learning to classify e-mail

Irena Koprinska, Josiah Poon, Jason Chan, 2007, Inf. Sci..

Extended Weighted Nearest Neighbor for Electricity Load Forecasting

Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, 2016, ICANN.

Neural Network Ensemble Based Approach for 2D-Interval Prediction of Solar Photovoltaic Power

Irena Koprinska, Mashud Rana, 2016 .

Feature Selection for Brain-Computer Interfaces

Irena Koprinska, 2009, PAKDD Workshops.

Clustering based methods for solar power forecasting

Zheng Wang, Irena Koprinska, Mashud Rana, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Comparisons between heuristics based on correlativity and efficiency for landmarker generation

Irena Koprinska, Sanjay Chawla, Daren Ler, 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

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

James R. Curran, Irena Koprinska, Kalina Yacef, 2018, AIED.

People-to-People Reciprocal Recommenders

Irena Koprinska, Kalina Yacef, I. Koprinska, 2015, Recommender Systems Handbook.

Mining autograding data in computer science education

Irena Koprinska, Kalina Yacef, Vincent Gramoli, 2016, ACSW.

Automated Classification of Clinical Incident Types.

Irena Koprinska, Jon Patrick, Jaiprakash Gupta, 2015, Studies in health technology and informatics.

Co-training using RBF Nets and Different Feature Splits

Irena Koprinska, Felix Feger, I. Koprinska, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

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

Irena Koprinska, Mashud Rana, Ashfaqur Rahman, 2019, ICANN.

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

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2020, AIED.

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

Irena Koprinska, 2011, EDM.

Forecasting hourly electricity load profile using neural networks

Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Prediction intervals for electricity load forecasting using neural networks

Irena Koprinska, Mashud Rana, Abbas Khosravi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Dynamically identifying relevant EEG channels by utilizing channels classification behaviour

Ganesh R. Naik, Irena Koprinska, Ahmed Al-Ani, 2017, Expert Syst. Appl..

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

Irena Koprinska, Mashud Rana, Abbas Khosravi, 2013, ICANN.

Exploring and Following Students' Strategies When Completing Their Weekly Tasks

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2016, EDM.

A new landmarker generation algorithm based on correlativity

Irena Koprinska, Sanjay Chawla, Daren Ler, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

Classifying Public Announcements for User Communities

Judy Kay, Irena Koprinska, Eric McCreath, 2003 .

Correlation and instance based feature selection for electricity load forecasting

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis, 2015, Knowl. Based Syst..

Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves

Irena Koprinska, Ronnie Taib, Shlomo Berkovsky, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Tree Echo State Autoencoders with Grammars

Irena Koprinska, Kalina Yacef, Benjamin Paassen, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

INTIMATE: a Web-based movie recommender using text categorization

Irena Koprinska, Josiah Poon, Harry Mak, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

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

Irena Koprinska, Alicia Troncoso Lora, Zheng Wang, 2018, SOCO-CISIS-ICEUTE.

Electricity Load Forecasting: A Weekday-Based Approach

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis, 2012, ICANN.

Semi-Supervised Classification Using Bridging

Irena Koprinska, Josiah Poon, Jason Chan, 2008, Int. J. Artif. Intell. Tools.

Video segmentation of MPEG compressed data

Irena Koprinska, Sergio Carrato, Sergio Carrato, 1998, 1998 IEEE International Conference on Electronics, Circuits and Systems. Surfing the Waves of Science and Technology (Cat. No.98EX196).

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

Irena Koprinska, Josiah Poon, Jason Chan, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging

Irena Koprinska, Josiah Poon, Jason Chan, 2007, FLAIRS.

Explicit and Implicit User Preferences in Online Dating

Judy Kay, Irena Koprinska, Kalina Yacef, 2011, PAKDD Workshops.

An annotated corpus of quoted opinions in news articles

James R. Curran, Irena Koprinska, Peter Ashwell, 2013, ACL.

Reciprocal Recommenders

Judy Kay, Irena Koprinska, Kalina Yacef, 2010, ITWP@UMAP.

A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria

Irena Koprinska, Sanjay Chawla, Daren Ler, 2004, Australian Conference on Artificial Intelligence.

Understanding Gender Differences to Improve Equity in Computer Programming Education

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2020, ACE.

Forecasting electricity load with advanced wavelet neural networks

Irena Koprinska, Mashud Rana, I. Koprinska, 2016, Neurocomputing.

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics

Fang Chen, Irena Koprinska, Ling Luo, 2015, DaWaK.

Phrases and Feature Selection in E-Mail Classification

Irena Koprinska, Elisabeth Crawford, Jon Patrick, 2004, ADCS.

Temporal Convolutional Neural Networks for Solar Power Forecasting

Irena Koprinska, Mashud Rana, Yang Lin, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A neural network based approach to automated e-mail classification

Irena Koprinska, Josiah Poon, James Clark, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

Students at Risk: Detection and Remediation

Irena Koprinska, Kalina Yacef, Joshua Stretton, 2015, EDM.

Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks

Irena Koprinska, Bryn Jeffries, Rim Haidar, 2017, ICONIP.

Multi-step forecasting for big data time series based on ensemble learning

Irena Koprinska, Alicia Troncoso Lora, Francisco Martínez-Álvarez, 2019, Knowl. Based Syst..

Examining the Impact of Coreference Resolution on Quote Attribution

James R. Curran, Irena Koprinska, Kellie Webster, 2013, ALTA.

Progress Networks as a Tool for Analysing Student Programming Difficulties

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2021, ACE.

Mapping Python Programs to Vectors using Recursive Neural Encodings

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2021 .

Temporal Convolutional Attention Neural Networks for Time Series Forecasting

Irena Koprinska, Mashud Rana, Yang Lin, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting

Irena Koprinska, Mashud Rana, Yang Lin, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

ast2vec: Utilizing Recursive Neural Encodings of Python Programs pdf

Irena Koprinska, Kalina Yacef, Jessica McBroom, 2021, ArXiv.

An Application of Evolving Fuzzy Neural Network for Compressed Video Parsing

Nikola Kasabov, Irena Koprinska, N. Kasabov, 2000 .

Learning User Preferences in Online Dating

Judy Kay, Irena Koprinska, Kalina Yacef, 2010 .

The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision‐making

Irena Koprinska, Andre Kyme, I. Koprinska, 2018, Emergency medicine Australasia : EMA.

Case-based Reenement of Knowledge-based Neural Networks

Irena Koprinska, Gennady Agre, I. Koprinska, 1996 .