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Katarina Grolinger
Katarina Grolinger
在 uwo.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Machine learning with big data: Challenges and approaches
A L’heureux, K Grolinger, HF Elyamany, MAM Capretz
Ieee Access 5, 7776-7797, 2017
11172017
MLaaS: Machine Learning as a Service
M Ribeiro, K Grolinger, MAM Capretz
IEEE International Conference on Machine Learning and Applications, 2015
5022015
Data management in cloud environments: NoSQL and NewSQL data stores
K Grolinger, WA Higashino, A Tiwari, MAM Capretz
Journal of Cloud Computing: advances, systems and applications 2, 1-24, 2013
4852013
Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network
MN Fekri, H Patel, K Grolinger, V Sharma
Applied Energy 282, 116177, 2021
2952021
An ensemble learning framework for anomaly detection in building energy consumption
DB Araya, K Grolinger, HF ElYamany, MAM Capretz, G Bitsuamlak
Energy and Buildings 144, 191-206, 2017
2772017
Challenges for mapreduce in big data
K Grolinger, M Hayes, WA Higashino, A L'Heureux, DS Allison, ...
2014 IEEE world congress on services, 182-189, 2014
2482014
Energy forecasting for event venues: Big data and prediction accuracy
K Grolinger, A L’Heureux, MAM Capretz, L Seewald
Energy and buildings 112, 222-233, 2016
2142016
Transfer learning with seasonal and trend adjustment for cross-building energy forecasting
M Ribeiro, K Grolinger, HF ElYamany, WA Higashino, MAM Capretz
Energy and Buildings 165, 352-363, 2018
2042018
Deep learning for load forecasting: Sequence to sequence recurrent neural networks with attention
L Sehovac, K Grolinger
Ieee Access 8, 36411-36426, 2020
2002020
Edge-cloud computing for Internet of Things data analytics: Embedding intelligence in the edge with deep learning
AM Ghosh, K Grolinger
IEEE Transactions on Industrial Informatics 17 (3), 2191-2200, 2020
1762020
Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks
MN Fekri, K Grolinger, S Mir
International Journal of Electrical Power & Energy Systems 137, 107669, 2022
1612022
Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection
D Gholamiangonabadi, N Kiselov, K Grolinger
Ieee Access 8, 133982-133994, 2020
1552020
Generating energy data for machine learning with recurrent generative adversarial networks
MN Fekri, AM Ghosh, K Grolinger
Energies 13 (1), 130, 2019
1312019
Forecasting residential energy consumption: Single household perspective
XM Zhang, K Grolinger, MAM Capretz, L Seewald
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
1002018
Load forecasting under concept drift: Online ensemble learning with recurrent neural network and ARIMA
RK Jagait, MN Fekri, K Grolinger, S Mir
IEEE Access 9, 98992-99008, 2021
882021
Forecasting Building Energy Consumption with Deep Learning: A Sequence to Sequence Approach
L Sehovac, C Nesen, K Grolinger
882019
Collective contextual anomaly detection framework for smart buildings
DB Araya, K Grolinger, HF ElYamany, MAM Capretz, G Bitsuamlak
2016 international joint conference on neural networks (IJCNN), 511-518, 2016
792016
Autonomous unmanned aerial vehicle navigation using reinforcement learning: A systematic review
F AlMahamid, K Grolinger
Engineering Applications of Artificial Intelligence 115, 105321, 2022
772022
Reinforcement learning algorithms: An overview and classification
F AlMahamid, K Grolinger
2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2021
762021
Transformer-based model for electrical load forecasting
A L’Heureux, K Grolinger, MAM Capretz
Energies 15 (14), 4993, 2022
752022
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