| Machine learning with big data: Challenges and approaches A L’heureux, K Grolinger, HF Elyamany, MAM Capretz Ieee Access 5, 7776-7797, 2017 | 996 | 2017 |
| 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 | 461 | 2013 |
| MLaaS: Machine Learning as a Service M Ribeiro, K Grolinger, MAM Capretz IEEE International Conference on Machine Learning and Applications, 2015 | 441 | 2015 |
| 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 | 250 | 2017 |
| 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 | 238 | 2014 |
| 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 | 223 | 2021 |
| 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 | 203 | 2016 |
| 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 | 178 | 2018 |
| Deep learning for load forecasting: Sequence to sequence recurrent neural networks with attention L Sehovac, K Grolinger Ieee Access 8, 36411-36426, 2020 | 176 | 2020 |
| 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 | 148 | 2020 |
| 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 | 135 | 2022 |
| 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 | 122 | 2020 |
| Generating energy data for machine learning with recurrent generative adversarial networks MN Fekri, AM Ghosh, K Grolinger Energies 13 (1), 130, 2019 | 117 | 2019 |
| 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 | 91 | 2018 |
| 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 | 75 | 2016 |
| Forecasting Building Energy Consumption with Deep Learning: A Sequence to Sequence Approach L Sehovac, C Nesen, K Grolinger | 73 | 2019 |
| Energy consumption prediction with big data: Balancing prediction accuracy and computational resources K Grolinger, MAM Capretz, L Seewald 2016 IEEE international congress on big data (BigData congress), 157-164, 2016 | 68 | 2016 |
| 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 | 66 | 2021 |
| Knowledge as a service framework for disaster data management K Grolinger, MAM Capretz, E Mezghani, E Exposito 2013 Workshops on Enabling Technologies: Infrastructure for Collaborative …, 2013 | 66 | 2013 |
| Deep Learning: Edge-Cloud Data Analytics for IoT AM Ghosh, K Grolinger | 62 | 2019 |
Miriam A. M. CapretzProfessor of Software Engineering, Western University, Canada在 uwo.ca 的电子邮件经过验证
