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Applying Intertextuality to Chinese Traditional Animation Making in a Global Context: Using Jingwei Reclamation as an Example
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| 3 |
MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF MONOLINGUAL WAV2VEC-2.0
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In: ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03544515 ; ICASSP 2022, May 2022, Singapour, Singapore (2022)
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Adaptation changes in the system of financial and economic security of Ukrainian business in a pandemic condition ...
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| 5 |
Adaptation changes in the system of financial and economic security of Ukrainian business in a pandemic condition ...
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| 6 |
Pseudorelatives: Parsing Preferences and their Natural Concealment
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| 7 |
Phonetic accommodation of human interlocutors in the context of human-computer interaction ...
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| 8 |
Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
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| 9 |
Variation in the Stylohyal-Tympanic Bone Articulation in Laryngeally Echolocating Bats and Its Implications Regarding Function
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In: Appalachian Student Research Forum & Jay S. Boland Undergraduate Research Symposium (2022)
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| 10 |
Neuroevolution for Parameter Adaptation in Differential Evolution
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In: Algorithms; Volume 15; Issue 4; Pages: 122 (2022)
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| 11 |
Translation and Cultural Adaptation into Portuguese of the Quality of Dying and Death Scale for Family Members of Patients in Intensive Care Units
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3614 (2022)
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| 12 |
Automatic Classification of Synthetic Voices for Voice Banking Using Objective Measures
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2473 (2022)
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| 13 |
Promoting Mental Health and Wellbeing in Multicultural Australia: A Collaborative Regional Approach
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 5; Pages: 2723 (2022)
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| 14 |
Adaptation of the Health Literacy Survey Questionnaire (HLS19-Q) for Russian-Speaking Populations—International Collaboration across Germany, Israel, Kazakhstan, Russia, and the USA
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3572 (2022)
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| 15 |
Assessing Children ‘At Risk’: Translation and Cross-Cultural Adaptation of the Motor Behavior Checklist (MBC) into Arabic and Pilot Use in the United Arab Emirates (UAE)
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In: Journal of Intelligence; Volume 10; Issue 1; Pages: 11 (2022)
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| 16 |
Cross-Country Adaptation of a Psychological Flexibility Measure: The Comprehensive Assessment of Acceptance and Commitment Therapy Processes
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3150 (2022)
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| 17 |
Hydrology across Disciplines: Organization and Application Experiences of a Public Hydrological Service in Italy
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In: Climate; Volume 10; Issue 3; Pages: 32 (2022)
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| 18 |
Sexual Quality of Life-Female (SQoL-F): Cultural Adaptation and Validation of European Portuguese Version
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In: Healthcare; Volume 10; Issue 2; Pages: 255 (2022)
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| 19 |
A Domain Adaptation-Based Method for Classification of Motor Imagery EEG
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In: Mathematics; Volume 10; Issue 9; Pages: 1588 (2022)
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Abstract:
Non-stationarity of EEG signals lead to high variability across sessions, which results in low classification accuracy. To reduce the inter-session variability, an unsupervised domain adaptation method is proposed. Arithmetic mean and covariance are exploited to represent the data distribution. First, overall mean alignment is conducted between the source and target data. Then, the data in the target domain is labeled by a classifier trained with the source data. The per-class mean and covariance of the target data are estimated based on the predicted labels. Next, an alignment from the source domain to the target domain is performed according to the covariance of each class in the target domain. Finally, per-class mean adaptation is required after covariance alignment to remove the shift of data distribution caused by covariance alignment. Two public BCI competition datasets, namely the BCI competition III dataset IVa and the BCI competition IV dataset IIa were used to evaluate the proposed method. On both datasets, the proposed method effectively improved classification accuracy.
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Keyword:
domain adaptation; electroencephalogram; linear discriminant analysis; mean and covariance; motor imagery
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URL: https://doi.org/10.3390/math10091588
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| 20 |
Reliability and Validity of the Malaysian English Version of the Diagnostic Criteria for Temporomandibular Disorder (M-English DC/TMD)
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In: Healthcare; Volume 10; Issue 2; Pages: 329 (2022)
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