Irena Koprinska

According to our database1, Irena Koprinska authored at least 92 papers between 1996 and 2019.

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2019
Multi-step forecasting for big data time series based on ensemble learning.
Knowl.-Based Syst., 2019

2018
Deep Learning for Big Data Time Series Forecasting Applied to Solar Power.
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.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Convolutional Neural Networks for Energy Time Series Forecasting.
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.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks.
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.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.
T. Large-Scale Data- and Knowledge-Centered Systems, 2017

Dynamically identifying relevant EEG channels by utilizing channels classification behaviour.
Expert Syst. Appl., 2017

Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Automated Data-Driven Hints for Computer Programming Students.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Solar power prediction using weather type pair patterns.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Solar power prediction with data source weighted nearest neighbors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Solar Power Forecasting Using Pattern Sequences.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Forecasting electricity load with advanced wavelet neural networks.
Neurocomputing, 2016

Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Clustering based methods for solar power forecasting.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Solar power forecasting using weather type clustering and ensembles of neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A dynamic channel selection algorithm for the classification of EEG and EMG data.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Extended Weighted Nearest Neighbor for Electricity Load Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Exploring and Following Students' Strategies When Completing Their Weekly Tasks.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Mining behaviors of students in autograding submission system logs.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Discovering Temporal Purchase Patterns with Different Responses to Promotions.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Mining autograding data in computer science education.
Proceedings of the Australasian Computer Science Week Multiconference, 2016

2015
People-to-People Reciprocal Recommenders.
Proceedings of the Recommender Systems Handbook, 2015

Correlation and instance based feature selection for electricity load forecasting.
Knowl.-Based Syst., 2015

Forecasting solar power generated by grid connected PV systems using ensembles of neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Discrimination-Aware Classifiers for Student Performance Prediction.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Students at Risk: Detection and Remediation.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Predicting Student Performance from Multiple Data Sources.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014
Forecasting hourly electricity load profile using neural networks.
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.
User Model. User-Adapt. Interact., 2013

Catch-up TV recommendations: show old favourites and find new ones.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Prediction intervals for electricity load forecasting using neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Automatically Detecting and Attributing Indirect Quotations.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

An annotated corpus of quoted opinions in news articles.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Examining the Impact of Coreference Resolution on Quote Attribution.
Proceedings of the Australasian Language Technology Association Workshop, 2013

2012
Time dependency in TV viewer clustering.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

The Effect of Suspicious Profiles on People Recommenders.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Feature Selection for Electricity Load Prediction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Statistical and Machine Learning Methods for Electricity Demand Prediction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Electricity Load Forecasting: A Weekday-Based Approach.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

A Sequence Labelling Approach to Quote Attribution.
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.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Explicit and Implicit User Preferences in Online Dating.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Yearly and seasonal models for electricity load forecasting.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

CCR - A Content-Collaborative Reciprocal Recommender for Online Dating.
Proceedings of the IJCAI 2011, 2011

Mining Assessment and Teaching Evaluation Data of Regular, Advanced Stream Students.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

2010
Reciprocal recommender system for online dating.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

RECON: a reciprocal recommender for online dating.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Electricity load forecasting based on autocorrelation analysis.
Proceedings of the International Joint Conference on Neural Networks, 2010

Variable Selection for Five-Minute Ahead Electricity Load Forecasting.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data.
IEEE Trans. Knowl. Data Eng., 2009

Feature Selection for Brain-Computer Interfaces.
Proceedings of the New Frontiers in Applied Data Mining, 2009

Very short-term electricity load demand forecasting using support vector regression.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Semi-Supervised Classification Using Bridging.
International Journal on Artificial Intelligence Tools, 2008

Classification of Brain-Computer Interface Data.
Proceedings of the Data Mining and Analytics 2008, 2008

2007
Learning to classify e-mail.
Inf. Sci., 2007

Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006
A Sequence Based Recommender System for Learning Resources.
Austr. J. Intelligent Information Processing Systems, 2006

Co-training using RBF Nets and Different Feature Splits.
Proceedings of the International Joint Conference on Neural Networks, 2006

Image classification using labelled and unlabelled data.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Content-adaptive transmission of reconstructed soccer goal events over low bandwidth networks.
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.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria.
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.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

A new landmarker generation algorithm based on correlativity.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Phrases and Feature Selection in E-Mail Classification.
Proceedings of the ADCS 2004, 2004

Co-Training on Textual Documents with a Single Natural Feature Set.
Proceedings of the ADCS 2004, 2004

2003
INTIMATE: A Web-Based Movie Recommender Using Text Categorization.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

A Neural Network Based Approach to Automated E-Mail Classification.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

2002
Hybrid Rule-Based/Neural Approach for Segmentation of MPEG Compressed Video.
Multimedia Tools Appl., 2002

Integrating Local and Global Features in Automatic Fingerprint Verification.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Automatic Fingerprint Verification Using Neural Networks.
Proceedings of the Artificial Neural Networks, 2002

A Multi-Learner Approach to E-mail Classification.
Proceedings of the ADCS 2002, 2002

2001
Temporal video segmentation: A survey.
Sig. Proc.: Image Comm., 2001

2000
Evolving Fuzzy Neural Network for Camera Operations Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998
Detecting and classifying video shot boundaries in MPEG compressed sequences.
Proceedings of the 9th European Signal Processing Conference, 1998

1996
Sleep classification in infants by decision tree-based neural networks.
Artificial Intelligence in Medicine, 1996


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