Fantômes dans l'Extrême-Orient d'hier et d'aujourd'hui - Tome 2 / / Marie Laureillard, Vincent Durand-Dastès |
Autore | Laureillard Marie |
Pubbl/distr/stampa | Paris, : Presses de l’Inalco, 2017 |
Descrizione fisica | 1 online resource (453 p.) |
Altri autori (Persone) |
Durand-DastèsVincent
Bergeret CurienAnnie ComentaleChristophe DucGeorges Bê GirardColette InthanoTheeraphong LaureillardMarie LincotEmmanuel LombardiRosa MoriceauJacline NeriCorrado PiconeMary QinChen SakaiCécile ShaoBaoqing ShuangXu VuilleumierVictor ZhangYinde ZikaiFeng |
Soggetto topico |
Folklore
Literature Chine fantômes gui littérature littérature chinoise moderne |
Soggetto non controllato |
fantômes
littérature Chine gui littérature chinoise moderne |
ISBN | 2-85831-252-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | fre |
Record Nr. | UNINA-9910246751803321 |
Laureillard Marie
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Paris, : Presses de l’Inalco, 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings / / edited by Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells |
Autore | Sudre Carole H |
Edizione | [1st ed. 2025.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
Descrizione fisica | 1 online resource (233 pages) |
Disciplina | 006 |
Altri autori (Persone) |
MehtaRaghav
OuyangCheng QinChen RakicMarianne WellsWilliam M |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Computers Application software Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computing Milieux Computer and Information Systems Applications |
ISBN | 3-031-73158-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | -- Annotation Uncertainty. -- Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection. -- Active Learning for Scribble-based Diffusion MRI Segmentation. -- FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection. -- Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation. -- Clinical implementation of uncertainty modelling and risk management in clinical pipelines. -- Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction. -- GUARDIAN: Guarding Against Uncertainty and Adversarial Risks in Robot-Assisted Surgeries. -- Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. -- Conformal Performance Range Prediction for Segmentation Output Quality Control. -- Holistic Consistency for Subject-level Segmentation Quality Assessment in Medical Image Segmentation. -- Out of distribution and domain shift identification and management. -- CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning. -- Image-conditioned Diffusion Models for Medical Anomaly Detection. -- Information Bottleneck-based Feature Weighting for Enhanced Medical Image Out-of-Distribution Detection. -- Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images. -- Typicality excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging. -- Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection. -- Uncertainty-Aware Vision Transformers for Medical Image Analysis. -- Uncertainty modelling and estimation. -- Efficient Precision control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting. -- GLANCE: Combating Label Noise using Global and Local Noise Correction for Multi-Label Chest X-ray Classification. -- Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening. -- INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning. |
Record Nr. | UNINA-9910983352703321 |
Sudre Carole H
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
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Lo trovi qui: Univ. Federico II | ||
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging [[electronic resource] ] : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells |
Autore | Sudre Carole H |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (232 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
BaumgartnerChristian F
DalcaAdrian MehtaRaghav QinChen WellsWilliam M |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Artificial intelligence
Image processing - Digital techniques Computer vision Computers Application software Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computer and Information Systems Applications |
ISBN | 3-031-44336-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Uncertainty estimation and modelling -- Out of Distribution management and domain shift robustness -- Bayesian deep learning and uncertainty calibration. |
Record Nr. | UNISA-996558469603316 |
Sudre Carole H
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells |
Autore | Sudre Carole H |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (232 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
BaumgartnerChristian F
DalcaAdrian MehtaRaghav QinChen WellsWilliam M |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Artificial intelligence
Image processing - Digital techniques Computer vision Computers Application software Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computer and Information Systems Applications |
ISBN | 3-031-44336-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Uncertainty estimation and modelling -- Out of Distribution management and domain shift robustness -- Bayesian deep learning and uncertainty calibration. |
Record Nr. | UNINA-9910747592003321 |
Sudre Carole H
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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