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

Energy conversion and management, 2016-08, Vol.121, p.380-390

2016

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

Energies (Basel), 2016-10, Vol.9 (10), p.829-829

2016

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases Part I: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings

2023

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Forecasting electricity load with advanced wavelet neural networks

Neurocomputing (Amsterdam), 2016-03, Vol.182, p.118-132

2016

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The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study

Nutrients, 2021-05, Vol.13 (6), p.1761

2021

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The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study

Nutrients, 2022-09, Vol.14 (18), p.3751

2022

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A Survey of Automated Programming Hint Generation: The HINTS Framework

ACM computing surveys, 2022-11, Vol.54 (8), p.1-27, Article 172

2022

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Correlation and instance based feature selection for electricity load forecasting

Knowledge-based systems, 2015-07, Vol.82, p.29-40

2015

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

Artificial Neural Networks and Machine Learning – ICANN 2018, p.528-537

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Sleep Apnea Prediction Using Deep Learning

IEEE journal of biomedical and health informatics, 2023-11, Vol.27 (11), p.5644-5654

2023

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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

2021

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2D-interval forecasts for solar power production

Solar energy, 2015-12, Vol.122, p.191-203

2015

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Recursive tree grammar autoencoders

Machine learning, 2022-09, Vol.111 (9), p.3393-3423

2022

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

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series, p.436-449

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Solar Power Forecasting Using Pattern Sequences

Artificial Neural Networks and Machine Learning – ICANN 2017, p.486-494

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Dynamically identifying relevant EEG channels by utilizing channels classification behaviour

Expert systems with applications, 2017-10, Vol.83, p.273-282

2017

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ECML PKDD 2018 Workshops: Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings

1st Edition 2019, 2019

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SSDNet: State Space Decomposition Neural Network for Time Series Forecasting

2021 IEEE International Conference on Data Mining (ICDM), 2021, p.370-378

2021

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Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks

Neural Information Processing, p.819-827

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Dynamic customer segmentation via hierarchical fragmentation-coagulation processes

Machine learning, 2023, Vol.112 (1), p.281-310

2023

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Feature Selection for Brain-Computer Interfaces

New Frontiers in Applied Data Mining, p.106-117

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings

2022

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings

2022

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Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

IEEE transactions on knowledge and data engineering, 2009-06, Vol.21 (6), p.759-772

2009

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

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

Machine Learning and Principles and Practice of Knowledge Discovery in Databases Part I: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings

Forecasting electricity load with advanced wavelet neural networks

The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study

The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study

A Survey of Automated Programming Hint Generation: The HINTS Framework

Correlation and instance based feature selection for electricity load forecasting

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

Sleep Apnea Prediction Using Deep Learning

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

2D-interval forecasts for solar power production

Recursive tree grammar autoencoders

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

Solar Power Forecasting Using Pattern Sequences

Dynamically identifying relevant EEG channels by utilizing channels classification behaviour

Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges

ECML PKDD 2018 Workshops: Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting

Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks

Dynamic customer segmentation via hierarchical fragmentation-coagulation processes

Feature Selection for Brain-Computer Interfaces

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings

Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

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