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Fingerprint Dive into the research topics where Shirin Najdi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 8 Similar Profiles
Sleep Stages Medicine & Life Sciences
Sleep Mathematics
Feature extraction Engineering & Materials Science
Agglomeration Engineering & Materials Science
Rank Aggregation Mathematics
Transfer Learning Mathematics
Spectrogram Mathematics
Electromyography Engineering & Materials Science

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Research Output at NOVA 2016 2018

5 Citations (Scopus)
12 Downloads (Pure)
Open Access
File
Sleep Stages
Aptitude
Classifiers
Electrocardiography
Electrooculography

Transfer Learning of Spectrogram Image for Automatic Sleep Stage Classification

Gharbali, A. A., Najdi, S. & Fonseca, J. M., 1 Jan 2018, Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Proceedings. ter Haar Romeny, B., Karray, F. & Campilho, A. (eds.). Cham: Springer Verlag, p. 522-528 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10882 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Transfer Learning
Spectrogram
Sleep
Electroencephalography
Wavelet transforms
1 Citation (Scopus)
9 Downloads (Pure)

Feature ranking and rank aggregation for automatic sleep stage classification: A comparative study

Najdi, S., Gharbali, A. A. & Fonseca, J. M., 18 Aug 2017, In : BioMedical Engineering Online. 16, 78.

Research output: Contribution to journalConference article

Open Access
File
Sleep Stages
Agglomeration
Feature extraction
Sleep
Electrooculography
7 Citations (Scopus)

Feature Transformation Based on Stacked Sparse Autoencoders for Sleep Stage Classification

Najdi, S., Gharbali, A. A. & Fonseca, J. M., 2017, Technological Innovation for Smart Systems: 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017. Camarinha-Matos, L. M., Parreira-Rocha, M. & Ramezani, J. (eds.). Cham: Springer, p. 191-200 (IFIP Advances in Information and Communication Technology; vol. 499).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Feature extraction
Sleep
Deep learning
4 Citations (Scopus)

A comparison of feature ranking and rank aggregation techniques in automatic sleep stage classification based on polysomnographic signals

Najdi, S., Gharbali, A. A. & Fonseca, J. M., 2016, Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings. Ortuno, F. & Rojas, I. (eds.). Cham: Springer-Verlag, p. 230-241 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9656).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rank Aggregation
Sleep
Ranking
Agglomeration
Feature extraction