Katarina Grolinger

 

Publications

Journal papers:

  1. A. L’Heureux, K. Grolinger, H.F. ElYamany, M.M.A. Capretz, Machine Learning with Big Data: Challenges and Approaches, IEEE Access, preprint, doi: 10.1109/ACCESS.2017.2696365, 2017.
  2. D.B. Araya, K. Grolinger, H.F. ElYamany, M.A.M. Capretz, G.T. Bitsuamlak An Ensemble Learning Framework for Anomaly Detection in Building Energy Consumption, Energy and Buildings, Elsevier, Vol. 144, pp. 191–206, doi:10.1016/j.enbuild.2017.02.058, 2017.
  3. K. Grolinger, A. L’Heureux, M.A.M. Capretz, L. Seewald Energy Forecasting for Event Venues: Big Data and Prediction Accuracy, Energy and Buildings, Elsevier, Vol. 112, pp. 222–233, doi:10.1016/j.enbuild.2015.12.010, 2016.
  4. K. Grolinger, E. Mezghani, M.A.M. Capretz, E. Exposito Collaborative knowledge as a service applied to the disaster management domain, International Journal of Cloud Computing, Inderscience, Vol. 4, No. 1, pp. 5-27, doi:10.1504/IJCC.2015.067706 2015.
  5. K. Grolinger, W.A. Higashino, A. Tiwari, M.A.M. Capretz, Data Management in Cloud Environments: NoSQL and NewSQL Data Stores, Journal of Cloud Computing: Advances, Systems and Application, Springer Open, Vol. 2, No. 22, doi:10.1186/2192-113X-2-22, 2013.
  6. K. Grolinger, M.A.M. Capretz, A. Cunha, S. Tazi, Integration of Business Process Modeling and Web Services: A Survey, Service Oriented Computing and Applications, Springer, Vol. 8, No. 2, pp. 105–128, doi:10.1007/s11761-013-0138-2, 2013.
  7. B. Muslimi, K. Grolinger, M.A.M. Capretz, M. Benko, EEF-CAS: An Effort Estimation Framework with Customizable Attribute Selection, International Journal of Advancements in Computing Technology, Vol., 5. No. 13, 2013.
  8. K. Grolinger, M.A.M Capretz, A Unit Test Approach for Database Schema Evolution, Information and Software Technology, Elsevier, Vol. 53, No. 2, pp. 159-170, doi:10.1016/j.infsof.2010.10.002, 2011.
  9. B. Jerbic, K. Grolinger, B. Vranjes, Autonomous Agent Based on Reinforcement Learning and Adaptive Shadowed Network. Artificial Intelligence in Engineering. Vol. 13, No. 2, pp. 141-157, 1999.
  10. B. Jerbic, K. Grolinger, B. Vranjes, Autonomous Robotic Task Reasoning in Unpredictable Assembly Conditions, Automatika, Vol. 37 (1-2), Zagreb, Croatia, pp. 37-45. 1996.

Conference papers:

  1. A. L’Heureux, K. Grolinger, W.A. Higashino, M. A. M. Capretz, A Gamification Framework for Sensor Data Analytics, Proc. Of the IEEE International Congress on Internet of Thing, Honolulu, Hawaii, USA, 2017, accepted.
  2. N. L. Tasfi, W.A. Higashino, K. Grolinger, M. A. M. Capretz,Deep Neural Networks With Confidence Sampling for Electrical Anomaly Detection, Proc. Of the IEEE International Conference on Smart Data, Exeter, England, 2017, accepted.
  3. K. Grolinger, M.A.M. Capretz, L. Seewald, Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources, Proc. of the IEEE BigData Congress, San Francisco, California, 27 Jun-2 Jul, 2016.
  4. D.B. Araya, K. Grolinger, H.F. El Yamany, M.A.M. Capretz, G.T. Bitsuamlak, Collective Contextual Anomaly Detection Framework for Smart Buildings , Proc. of the IEEE World Congress in Computational Intellegence, Vancouver, Canada, 24-29 Jul, 2016.
  5. M. Ribeiro, K. Grolinger, M.A.M. Capretz, MLaaS: Machine Learning as a Service , Proc. of the IEEE International Conference on Machine Learning and Applications, Miami, Florida, USA, 9-11 Dec, 2015
  6. S.S. Abdelkader, K. Grolinger, M.A.M. Capretz, Predicting energy demand peak using M5 model trees, Proc. of the IEEE International Conference on Machine Learning and Applications, Miami, Florida, USA, 9-11 Dec, 2015.
  7. A. Zagar, K. Grolinger, M.A.M Capretz, L. Seewald, Energy Cost Forecasting for Event Venues, Proc. of the IEEE Electrical Power & Energy Conference, London, Ontario, Canada, 26-28 Oct, 2015.
  8. H. F. ElYamany, M. F. Mohamed, K. Grolinger, M. M. A. Capretz, A Generalized Service Replication Process in Distributed Environments, Proc. of the 5th International Conference on Cloud Computing and Services Science, Lisbon, Portugal, 20-22 May, 2015.
  9. K. Grolinger, M. Hayes, W. Higashino, A. L'Heureux, D. S. Allison, M. A. M. Capretz, Challenges for MapReduce in Big Data, Proc. of the IEEE 10th 2014 World Congress on Services (SERVICES 2014), Alaska, USA, June 27-July 2, 1014
  10. K. Grolinger, E. Mezghani, M.A.M. Capretz, E. Exposito, Knowledge as a Service Framework for Disaster Data Management, The 22nd IEEE WETICE conference, Hammamet, Tunisia, pp. 313-318, 2013.
  11. K. Grolinger, M.A.M. Capretz, J.R. Marti, K.D. Srivastava, Ontology–based Representation of Simulation Models, The 24th International Conference on Software Engineering and Knowledge Engineering, San Francisco Bay, California, USA, pp. 432-437, 2012.
  12. K. Grolinger, M.A.M. Capretz, Autonomic Database Management: State of the Art and Future Trends, The 27th International Conference on Computers and Their Applications (CATA), Las Vegas, Nevada, USA, pp.276-281, 2012.
  13. K. Grolinger, K.P. Brown, M.A.M. Capretz, From Glossaries to Ontologies: Disaster Management Domain, The 23rd International Conference on Software Engineering and Knowledge Engineering, Miami Beach, Florida, USA, pp. 402-407, 2011.
  14. K. Grolinger, A. Shypanski, G.S. Gill, M.A.M. Capretz, Federated Critical Infrastructure Simulators: Towards Ontologies for Support Of Collaboration, The 24th IEEE Canadian Conference on Electrical and Computer Engineering, Niagara Falls, Ontario, Canada, pp. 1503-1506, 2011.
  15. K.P. Brown, K. Grolinger, M.A.M. Capretz, Data Providing Web Service-Based Integration Framework for use in a Health Care Context, The 24th IEEE Canadian Conference on Electrical and Computer Engineering 2011, Niagara Falls, Ontario, Canada, pp. 1069–1072, 2011.
  16. K. Grolinger, B Jerbic, B. Vranjes, Autonomous Robot Behavior Based on Neural Networks, Applications and Science of Artificial Neural Networks III, Orlando, Florida, USA, SPIE Press, pp. 2038-2046, 1997.
  17. B. Jerbic, K Grolinger, B. Vranjes, Simulation of Intelligent Robot Behavior Based on Reinforcement Learning and Neural Network Approach, The 11th International Conference on Artificial Intelligence in Engineering, Southampton, NY, USA, pp. 450-465, 1996.
  18. B. Jerbic, K. Grolinger, B. Vranjes, Simulation of Robotic Learning in Assembly Process, The 7th International DAAAM Symposium, Vienna, Austria, pp. 185-187, 1996
  19. B. Vranjes, K. Grolinger, B. Jerbic, Modified Fuzzy ART Neural Network in Group Technologies, The 7th International DAAAM Symposium, Vienna, Austria, pp. 185-187, 1996.
  20. B. Jerbic, K. Grolinger, B. Vranjes, Autonomous Robotic Task Reasoning in Unpredictable Assembly Conditions, The 13th Conference BIAM 96, Zagreb, Croatia, pp. B1-B6, 1996.
  21. B. Vranjes, K. Grolinger, B. Jerbic, Cellular Manufacturing Formation with Modified Fuzzy ART Neural Network, The 13th Conference BIAM 96, Zagreb, Croatia, pp. J5-J8, 1996.

Book chapter (refereed):

  1. K. Grolinger, E. Mezghani, M.A.M. Capretz, E. Exposito, Knowledge as a Service Framework for Collaborative Data Management in Cloud Environments - Disaster Domain , in Book: Managing Big Data in Cloud Computing Environments, IGI Global, in press.

Teaching Publication::

  1. K. Grolinger, Problem Based Learning in Engineering Education: Meeting the needs of industry, Teaching Innovation Projects IGI Global, Vol. 1, No. 2, 2011.

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Also from this web page:

Contact Info

Katarina Grolinger

Thompson Engineering Building TEB 371
kgroling AT uwo.ca