Publications

My Google Scholar

Recent Journal Papers (refereed):

  1. S. Sony, K. Dunphy, A. Sadhu, M. Capretz, A Systematic Review of Convolutional Neural Network-Based Structural Damage Detection Techniques, Engineering Structures, Elsevier, 2020.
  2. L. Zillmann, V. F. Vidal, L. Honorio, M. A. R. Dantas, M. F. Pinto, M. Capretz, “A Heterogeneous Edge-Fog Environment Supporting Digital Twins for Remote Inspections”, Sensors, 2020.
  3. F. Neves, F. Campos, V. Ströele, M. A. M. Capretz, M. Jennings, D. Bryant, M. Dantas, Heath-PRIOR: An Intelligent Ensemble Architecture to Identify Risk Cases in Healthcare, IEEE Access, 2020.
  4. W. Queiroz, M. A. M. Capretz, M. Dantas,  "A MapReduce Approach for Traffic Matrix Estimation in SDN”, IEEE Access, vol. 8, pp, 149065-149076, 2020.
  5. A. Bedin, M. A. M. Capretz, S. Mir, “Blockchain for Collaborative Businesses”, Mobile Networks and Applications, Springer, 2020.
  6. M. Pinto, L. Honorio, A. Marcato, M. Dantas, A. Gouvea de Melo, M. Capretz, C. Urdiales, “ARCog: An Aerial Robotics Cognitive Architecture”, Robotica, Cambridge University Press, 2020.
  7. M. ElGayyar, H. ElYamany, K. Grolinger, M. A. M. Capretz, S. Mir, “Blockchain-Based Federated Identity and Auditing”, International Journal of Blockchains and Cryptocurrencies, Inderscience, vol. 1, issue 2, pp.179-205, 2020.
  8. J. M. Alves, L. Honorio, M. A. M. Capretz, “ ML4IoT: A Framework to Orchestrate Machine Learning Workflows on the Internet of Things Data”, IEEE Access, Vol. 7, Issue 1, pp: 152953-152967, Dec. 2019.
  9. W. Queiroz, M. A. M. Capretz, M. Dantas, "An Approach for SDN Traffic Monitoring Based on Big Data Techniques”, Journal of Network and Computer Applications, Elsevier, vol. 131, pp. 28-39, April 2019.
  10. D. Bachmann, K. Grolinger, H. ElYamany, W. Higashino, M. Capretz, M. Fekri, B. Gopalakrishnan, " (CF)2 Architecture: Contextual Collaborative Filtering”, Information Retrieval Journal, Springer, pp. 1-24, 2018.
  11. M. Ribeiro, K. Grolinger, H. ElYamany, W. Higashino, M. A. M. Capretz, "Transfer Learning with Seasonal and Trend Adjustment for Cross-Building Energy Forecasting”, Energy and Buildings, Elsevier, Vol. 165, pp. 352-363, April 2018.
  12. K. Grolinger, H. F. ElYamany, W. A. Higashino, M. A. M. Capretz, L. Seewald, " Energy Slices: Benchmarking with Time Slicing”, Energy Efficiency, Springer, vol. 11, issue 2, pp 521-538, February 2018.
  13. C. S. Coneglian, R. Dieger, J. E. Santarem Segundo, M. A. M. Capretz, “The Role of Semantic Web in Big Data Processes”, Encontros Bibli: Revista Eletronica de Biblioteconomia e Ciencia da Informacao, vol. 23, issue 53, 2018.
  14. A. L'Heureux, K. Grolinger, H. F. ElYamany, M. A. M. Capretz, "Machine Learning with Big Data: Challenges and Approaches", IEEE Access, Vol. 5, pp. 7776 – 7797, April, 2017.
  15. D. B. Araya, K. Grolinger, H. F. ElYamany, M. A. M. Capretz, G. Bitsuamlak, “ An Ensemble Learning Framework for Anomaly Detection in Building Energy Consumption", Energy and Buildings, Elsevier, vol. 144, pp. 191-206, June, 2017.
  16. W. K. Grolinger, A. L'Heureux, M.A.M. Capretz, L. Seewald, “ Energy Forecasting: Big Data and Prediction Accuracy” Energy and Buildings, vol. 112c, pp. 222-233, 2016.
  17. W. A. Higashino, C. Eichler, M. A. M. Capretz, L. F. Bittencourt, and T. Monteil, “Attributed Graph Rewriting for Complex Event Processing Self-Management” ACM Transactions on Autonomous and Adaptive Systems, vol. 11, No. 3, article 19, 2016.
  18. W. A. Higashino, M. A. M. Capretz, L. F. Bittencourt, “ CEPSim: Modelling and Simulation of Complex Event Processing Systems in Cloud Environments”, Special Issue “Big data in the cloud”, Future Generation Computer Systems, Elsevier, vol. 65, pp. 122-139, Dec. 2016.
  19. W. A. Higashino, M. A. M. Capretz, M. B. F. Toledo, L. F. Bittencourt, “A Hybrid Particle Swarm Optimization-Genetic Algorithm Applied to Grid Scheduling” Int. Journal of Grid and Utility Computing, Inderscience, Vol. 7, No. 2, 2016.
  20. M. Hayes, M. A. M. Capretz, " Contextual Anomaly Detection Framework for Big Sensor Data", Journal of Big Data, Volume 2, Issue 1, 22 pages, SpringerOpen, 2015.
  21. 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, 2015.
  22. C. Forchuk, A. Rudnick, J. Reiss, J. Hoch, L. Donelle, D. Corring, M. Godin, W. Osaka, R. Campbell, M. Capretz, J. Reed, M. McKillop “Mental Health Engagement Network: An Analysis of Outcomes Following a Mobile and Web-Based Intervention”, Journal of Technologies in Society, 11(2): 1-10, 2015.
  23. 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, 2014.
  24. D. S. Allison, A. Kamoun, M. A. M. Capretz, S. Tazi, K. Drira, H. ElYamany, “An Ontology Driven Privacy Framework for Collaborative Working Environments”, International Journal of Autonomous and Adaptive Communications Systems, Inderscience, 2014.
  25. D. Garcia, M. A.M. Capretz, M. B. F. Toledo, “Semantic Privacy Policies for Service Description and Discovery in Service-Oriented Architecture”, Journal of Convergence Information Technology, 9 (2), pp. 1-20, March 2014.
  26. 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 Applications, Springer, 2013 2:22.
  27. K. Grolinger, M. A. M. Capretz, A. B. Cunha, S. Tazi, “Integration of Business Process Modeling and Web Services: A Survey”, Service Oriented Computing and Applications, Springer, 2013.
  28. K. Brown, M. A. M. Capretz, “ODEP-DPS: Ontology-Driven Engineering Process for the Collaborative Development of Semantic Data Providing Services”, Information and Software Technology, Elsevier, vol. 55 (9), pp. 1563-1579, 2013.
  29. K. Brown, M. Hayes, D. Allison, M. A. M. Capretz, M. Sazio, R. Mann “Fine-Grained Filtering to Provide Access Control for Data Providing Services within Collaborative Environments, Concurrency and Computation: Practice and Experience, Wiley, 2013.
  30. M. Sazio, M. A. M. Capretz “Web Service Semantic Access Control”, Int. Journal of Web Applications, 5 (3), pp. 11-127 (also available in Proc. of the IEEE Third Int. Conf. on Innovative Computing Technology, pp. 77-82), Sep. 2013.
  31. 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, 5 (13), pp. 14-33, 2013..
  32. J. Michura, M. A. M. Capretz, S. Wang “Extension of Object Oriented Metrics Suite for Software Maintenance", ISRN Software Engineering Journal, Hindawi, Article ID 276105, 14 pages, 2013.

Recent Conference Papers (refereed):

  1. S. Gomez-Rosero, M. A. M. Capretz, S. Mir, “Deep neural network for load forecasting centred on architecture evolution”, 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020), Miami, USA, Dec. 14-17, 2020.
  2. N. Tasfi, M.A.M. Capretz, “Noisy Importance Sampling Actor-Critic: An Off-Policy Actor-Critic With Experience Replay”, IEEE 2020 International Joint Conference on Neural Networks, Glasgow, UK, July 19-24, 2020.
  3. D. Eneyew, M. A. M. Capretz, G. T. Bitsuamlak, S. Mir, “Predicting Residential Energy Consumption Using Wavelet Decomposition with Deep Neural Network”, 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020), Miami, USA, Dec. 14-17, 2020.
  4. P. Adjei, N. Sethi, C. de Souza, M. A. M. Capretz, “Energy Disaggregation Using Multilabel Binarization and Gaussian Naive Bayes Classifier”, 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 28-31 October 2020, New York, USA.
  5. F. N Braz, M. Jennings, M. A. M. Capretz, D. Bryant, F. Campos, V. Stroele, “eWound- PRIOR: an Ensemble Framework for Cases Prioritization after Orthopedic Surgeries”,15th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2020), Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Springer, Yonago, Japan, pp. 113-125, October 28-30, 2020.
  6. A. Bedin, W. Queiroz, M. A. M. Capretz, S. Mir, “A Blockchain Approach to Social Responsibility” DIONE 2020, EAI International Conference on Data and Information in Online Environments, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 319), Florianopolis, Brazil, pp. 15-29, March 19-20, 2020.
  7. G. Silva, F. Durao, M. Capretz, “PLDSD: Personalized Linked Data Semantic Distance for LOD-Based Recommender Systems”, 21st International Conference on Information Integration and Web-Based Applications and Services (iiWAS2019), Munich, Germany, pp. 294-303, Dec. 2-4, 2019.
  8. W. Silva, M. A. M. Capretz, “Assets Predictive Maintenance Using Convolutional Neural Networks”, 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019), Toyama, Japan, pp.59-66, July 8-11, 2019.
  9. X. M. Zhang, K. Grolinger, M. A. M. Capretz, L. Seewald, “Forecasting Residential Energy Consumption: Single Household Perspective”,17th IEEE International Conference on Machine Learning and Applications, December 17-20, 2018, Orlando, USA.
  10. C. Forchuk, L. Donelle, M. Capretz, F. Bukair, J. Kok, “Evaluating Iris Scanning Technology to Link Data Related to Homelessness and other Disadvantaged Populations with Mental Illness and Addiction”, 16th International Conference On Smart Homes and Health Telematics, July 10-12, 2018, Singapore.
  11. M. M. Lopes, W. A. Higashino, M. A. M. Capretz and L. F. Bittencourt, “MyiFogSim: A Simulator for Virtual Machine Migration in Fog Computing”, 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017), Dec. 5-8, 2017, Austin, USA.
  12. A. L’Heureux, K. Grolinger, W. A. Higashino, M. A. M. Capretz, “A Gamification Framework for Sensor Data Analytics”, 2nd IEEE International Congress on Internet of Things (IEEE ICIOT 2017), June 25-30, 2017, Honolulu, USA.
  13. N. L. Tasfi, K. Grolinger, W. A. Higashino, M. A. M. Capretz, “Deep Neural Networks with Confidence Sampling for Electrical Anomaly Detection", The 2017 IEEE International Conference on Smart Data (SmartData-2017), June 21-23, 2017, Exeter UK.
  14. W. A. Higashino, M. A. M. Capretz, L. F. Bittencourt, “CEPaaS: Complex Event Processing as a Service", 6th IEEE International Congress on Big Data (IEEE BigData Congress 2017), June 25-30, 2017, Honolulu, USA.
  15. K. Grolinger, M. A. M. Capretz, L. Seewald, “Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources”, 5th IEEE International Congress on Big Data (IEEE BigData Congress 2016), San Francisco, USA, Jun 27- Jul. 2, 2016.
  16. D. Araya, K. Grolinger, H. ElYamany, M. Capretz, G. Bitsuamlak, “Collective Contextual Anomaly Detection Framework for Smart Buildings”, 2016 International Joint Conference on Neural Networks, (IJCNN 2016, Vancouver, Canada, July 24-29, 2016.
  17. 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, pp. 183-209, 2016.
  18. W. Higashino, M. A. M. Capretz, L. F. Bittencourt, “CEPSim: A Simulator for Cloud-Based Complex Event Processing”, 4th International Congress on Big Data (IEEE BigData Congress 2015), New York, USA (acceptance rate 20%), pp. 182-190, June 27-July 2, 2015.
  19. M. Ribeiro, K. Grolinger, M. A. M. Capretz, “MLaaS: Machine Learning as a Service”, IEEE 14th International Conference on Machine Learning and Applications, Miami, USA, pp. 896-902 , Dec. 9-11, 2015.
  20. S. Abdelkader, K. Grolinger, M. A. M. Capretz, “Predicting energy demand peak using M5 model trees”, IEEE 14th International Conference on Machine Learning and Applications, Miami, USA, pp. 509-514, Dec. 9-11, 2015.
  21. A. Zagar, K. Grolinger, M. A.M. Capretz, L. Seewald, "Energy Cost Forecasting for Event Venues”, 2015 Electrical Power and Energy Conference (EPEC15), London, Canada, pp. 220-226, Oct. 26-29, 2015.
  22. H. ElYamany, M. Mohamed, K. Grolinger, M. A. M. Capretz, “A Generalized Service Replication Process in Distributed Environments”, 5th International Conference on Cloud Computing and Services Science (CLOSER 2015), Lisbon, Portugal, May 20-22, 2015.
  23. M. Hayes, M. A. M. Capretz “Contextual Anomaly Detection in Big Sensor Data”, Proc. of the 3rd International Congress on Big Data (IEEE BigData 2014), June 27-July 2, 2014, Anchorage, Alaska, USA.
  24. S. Wang, W. Higashino, M. Hayes, M. A. M. Capretz, “Service Evolution Patterns”, Proc. of the 21st IEEE International Conference on Web Services (IEEE ICWS 2014), June 27-July 2, 1014, Alaska, USA.
  25. 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), June 27-July 2, 1014, Alaska, USA.
  26. I. Faria, M. A. R. Dantas, M. A. M. Capretz, W. Higashino, “Network and Energy-Aware Resource Selection Model for Opportunistic Grids”, Proc. of the CDCGM 2014 track of the 23rd IEEE WETICEConf., Parma, Italy, 2014.
  27. W. Higashino, M. A. M. Capretz, M. B. F. Toledo, “Evaluation of Particle Swarm Optimization Applied to Grid Scheduling”, Proc. of the CDCGM 2014 track of the 23rd IEEE WETICEConf., Parma, Italy, 2014.
  28. W. Higashino, C. Eichler, M. A. M. Capretz, T. Monteil, M. B. F. Toledo, P. Stolf, “Query Analyzer and Manager for Complex Event Processing as a Service”, Proc. of the AROSA 2014 track of the 23rd IEEE WETICEConf., Parma, Italy, 2014.
  29. I. Faria, M. A. R. Dantas, M. A. M. Capretz, “Energy-Aware Resource Selection on Opportunistic Grids”, Proc. of the 19th IEEE Symposium on Computers and Communications (ISCC'14), Madeira, Portugal, Jun 23-26, 2014.
  30. 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.
  31. D. S. Allison, M. A. M. Capretz, S. Tazi, “A Privacy Manager for Collaborative Working Environments”, Proc. of AROSA 2013 track of the 22nd IEEE WETICE Conf., Hammamet, Tunisia, June 17-20, 2013.
  32. F. N. Buzeto, M. A. M. Capretz, C. D. Castanho, R. P. Jacobi. “uOS: A Middleware for Ubiquitous Games”, Proc. of the 10th IEEE Int. Conf. on Ubiquitous Intelligence and Computing (UIC-2013), Sorrento Peninsula, Italy, December 18-21, 2013.
  33. E. A. Santos, A. Comunello, D. D. J. Macedo, M. A. M. Capretz, T. C. Prado, M. A. R. Dantas**, “An Analysis of Replication and Retrieval of Medical Image Data Using a Database Management System and a Distributed File System”, Proc. of the 18th IEEE Symposium on Computers and Communications (ISCC’13), July 7-10, 2013, Split, Croatia, pp. 814-819.
  34. A. B. Nassif and M. A. M. Capretz, "Offering SaaS as SOA services," Innovations and Advances in Computer, Information, Systems Sciences, and Engineering, K. Elleithy and T. Sobh, Eds. New York: SpringerLink, pp. 405-414, 2013.