Katarina Grolinger
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Citeras av
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), 1-24, 2013
Machine learning with big data: Challenges and approaches
A L’heureux, K Grolinger, HF Elyamany, MAM Capretz
Ieee Access 5, 7776-7797, 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
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
MLaaS: Machine Learning as a Service
M Ribeiro, K Grolinger, MAM Capretz
IEEE International Conference on Machine Learning and Applications, 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
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
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
Integration of business process modeling and Web services: a survey
K Grolinger, MAM Capretz, A Cunha, S Tazi
Service Oriented Computing and Applications 8 (2), 105-128, 2014
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
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
Autonomous agent based on reinforcement learning and adaptive shadowed network
B Jerbć, K Grolinger, B Vranjš
Artificial intelligence in engineering 13 (2), 141-157, 1999
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
Generating energy data for machine learning with recurrent generative adversarial networks
MN Fekri, AM Ghosh, K Grolinger
Energies 13 (1), 130, 2020
Federated critical infrastructure simulators: Towards ontologies for support of collaboration
K Grolinger, MAM Capretz, A Shypanski, GS Gill
2011 24th Canadian Conference on Electrical and Computer Engineering (CCECE …, 2011
Deep Learning: Edge-Cloud Data Analytics for IoT
AM Ghosh, K Grolinger
Forecasting Building Energy Consumption with Deep Learning: A Sequence to Sequence Approach
L Sehovac, C Nesen, K Grolinger
Deep learning for load forecasting: Sequence to sequence recurrent neural networks with attention
L Sehovac, K Grolinger
IEEE Access 8, 36411-36426, 2020
Collaborative knowledge as a service applied to the disaster management domain
K Grolinger, E Mezghani, MAM Capretz, E Exposito
International Journal of Cloud Computing 2 4 (1), 5-27, 2015
A gamification framework for sensor data analytics
A L'Heureux, K Grolinger, WA Higashino, MAM Capretz
2017 IEEE international congress on internet of things (ICIOT), 74-81, 2017
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