20112019
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Fingerprint Dive into the research topics where Claudio Frederico Pinho Rebelo de Sá is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 8 Similar Profiles
Labels Engineering & Materials Science
Ranking Mathematics
Association rules Engineering & Materials Science
Mining Mathematics
Neural networks Engineering & Materials Science
Decision trees Engineering & Materials Science
Decision tree Mathematics
Association Rule Mining Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2011 2019

Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks

Okai, J., Paraschiakos, S., Beekman, M., Knobbe, A. & Pinho Rebelo de Sá, C. F., 23 Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Piscataway, NJ: IEEE, 6 p. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); vol. 2019, no. 41).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Accelerometers
Neural networks
Biomedical engineering
Recurrent neural networks
Bioelectric potentials
28 Downloads (Pure)

Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks

Pinho Rebelo de Sá, C. F., Kumar, A., Ferreira, H. & Soares, C., 1 May 2019, 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019). Quintián, H., Sáez Muñoz, J. A., Corchado, E., Martínez Álvarez, F. & Troncoso Lora, A. (eds.). Vol. 950. p. 142-153 12 p. (Advances in Intelligent Systems and Computing; vol. 950).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Neural networks
Sensors
Automotive fuels
Fuel systems
Industrial applications
1 Downloads (Pure)

Ensemble Clustering for Novelty Detection in Data Streams

Garcia, K. D., de Faria, E. R., de Sá, C. R., Mendes-Moreira, J., Aggarwal, C. C., de Carvalho, A. C. P. L. F. & Kok, J. N., 1 Jan 2019, Discovery Science : 22nd International Conference, DS 2019, Splitm, Croatia, October 28-30, 2019. Proceedings. Kralj Novak, P., Džeroski, S. & Šmuc, T. (eds.). Cham: Springer, p. 460-470 11 p. (Lecture Notes in Artificial Intelligence; subseries of Lecture Notes in Computer Science; vol. 11828 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Novelty Detection
Data Streams
Ensemble
Clustering
Data Distribution

KnowBots: Discovering Relevant Patterns in Chatbot Dialogues

Rivolli, A., Amaral, C., Guardão, L., de Sá, C. R. & Soares, C., 1 Jan 2019, Discovery Science : 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019. Proceedings. Kralj Novak, P., Džeroski, S. & Šmuc, T. (eds.). Cham: Springer, p. 481-492 12 p. (Lecture Notes in Artificial Intelligence ; subseries of Lecture Notes in Computer Science; vol. 11828 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Industry
Customers
Sequential Patterns
User Interaction
Decision Support

Mining Exceptional Social Behaviour

Jorge, C. C., Atzmueller, M., Heravi, B. M., Gibson, J. L., de Sá, C. R. & Rossetti, R. J. F., 1 Jan 2019, Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Proceedings. Moura Oliveira, P., Novais, P. & Reis, L. P. (eds.). Springer, Vol. Part II. p. 460-472 13 p. (Lecture Notes in Computer Science; vol. 11805)(Lecture notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Social Behavior
Mining
Social Interaction
Sensors
Subgroup

Prizes

File
Breast Neoplasms