Stebėti
Miriam A. M. Capretz
Miriam A. M. Capretz
Professor of Software Engineering, Western University, Canada
Patvirtintas el. paštas uwo.ca - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Machine learning with big data: Challenges and approaches
A L’heureux, K Grolinger, HF Elyamany, MAM Capretz
Ieee Access 5, 7776-7797, 2017
11022017
Mlaas: Machine learning as a service
M Ribeiro, K Grolinger, MAM Capretz
2015 IEEE 14th international conference on machine learning and applications …, 2015
4972015
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
4822013
A systematic review of convolutional neural network-based structural condition assessment techniques
S Sony, K Dunphy, A Sadhu, M Capretz
Engineering Structures 226, 111347, 2021
3292021
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
2752017
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
2462014
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
2112016
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
2002018
Contextual anomaly detection framework for big sensor data
MA Hayes, MAM Capretz
Journal of Big Data 2, 1-22, 2015
1892015
Online trust: Definition and principles
ZM Aljazzaf, M Perry, MAM Capretz
2010 Fifth International Multi-conference on Computing in the Global …, 2010
1332010
Myifogsim: A simulator for virtual machine migration in fog computing
MM Lopes, WA Higashino, MAM Capretz, LF Bittencourt
Companion proceedings of the10th international conference on utility and …, 2017
1222017
Contextual anomaly detection in big sensor data
MA Hayes, MAM Capretz
2014 IEEE International Congress on Big Data, 64-71, 2014
1152014
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
992018
An approach for SDN traffic monitoring based on big data techniques
W Queiroz, MAM Capretz, M Dantas
Journal of Network and Computer Applications 131, 28-39, 2019
912019
A dependency impact analysis model for web services evolution
S Wang, MAM Capretz
2009 IEEE International Conference on Web Services, 359-365, 2009
822009
Storing massive Resource Description Framework (RDF) data: a survey
Z Ma, MAM Capretz, L Yan
The Knowledge Engineering Review 31 (4), 391-413, 2016
812016
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
Toward smart-building digital twins: BIM and IoT data integration
DD Eneyew, MAM Capretz, GT Bitsuamlak
IEEE access 10, 130487-130506, 2022
752022
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
722016
Transformer-based model for electrical load forecasting
A L’Heureux, K Grolinger, MAM Capretz
Energies 15 (14), 4993, 2022
702022
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Straipsniai 1–20