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Statistical Machine Learning for Human Behaviour Analysis
| Statistical Machine Learning for Human Behaviour Analysis |
| Autore | Moeslund Thomas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (300 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D convolutional neural networks
accuracy action recognition adaptive classifiers age classification attention allocation attention behavior biometric recognition blurring detection body movements boundary segmentation categorical data committee of classifiers concept drift context-aware framework convolutional neural network deep learning discrete stationary wavelet transform emotion recognition Empatica E4 ensemble methods face analysis face segmentation false negative rate fibromyalgia fingerprint image enhancement fingerprint quality foggy image frequency domain gait event gender classification gestures hand sign language head pose estimation hybrid entropy individual behavior estimation information entropy interpretable machine learning k-means clustering Kinect sensor Learning Using Concave and Convex Kernels multi-modal multi-objective evolutionary algorithms multimodal-based human identification neural networks noisy image object contour detection privacy privacy-aware profoundly deaf recurrent concepts restricted Boltzmann machine (RBM) rule-based classifiers saliency detection self-reported survey silhouettes difference single pixel single photon image acquisition singular point detection spatial domain spectrograms speech speech emotion recognition statistical-based time-frequency domain and crowd condition stock price direction prediction time-of-flight toe-off detection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288403321 |
Moeslund Thomas
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Convergence of Human and Artificial Intelligence on Clinical Care - Part I
| The Convergence of Human and Artificial Intelligence on Clinical Care - Part I |
| Autore | Abedi Vida |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (188 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
ADHD
alpha-2-adrenergic agonists aneurysm surgery artificial intelligence artificial neural network bariatric surgery Bayesian network C. difficile infection cardiac ultrasound cerebrovascular disorders chronic myelomonocytic leukemia (CMML) and acute myeloid leukemia (AML) for acute monoblastic leukemia and acute monocytic leukemia clinical decision support system clipping time cluster analysis comorbidity complex diseases concordance between hematopathologists COVID-19 deep learning digital imaging echocardiography EHR electronic health record electronic health records explainable machine learning health-related quality of life healthcare human factors improving diagnosis accuracy imputation inflammatory bowel disease interpretable machine learning ischemic stroke laboratory measures larynx cancer machine learning machine learning-enabled decision support system mechanical ventilation medical informatics monocytes non-stimulants osteoarthritis outcome prediction passive adherence pharmacotherapy portable ultrasound promonocytes and monoblasts recurrent stroke respiratory failure risk factors SARS-CoV-2 septic shock social media stimulants stroke temporary artery occlusion trust voice change voice pathology classification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557617803321 |
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Abedi Vida
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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