Zobrazeno 1 - 10
of 96
pro vyhledávání: '"FENGLONG MA"'
Publikováno v:
Sensors, Vol 23, Iss 15, p 6986 (2023)
Federated learning (FL), which provides a collaborative training scheme for distributed data sources with privacy concerns, has become a burgeoning and attractive research area. Most existing FL studies focus on taking unimodal data, such as image an
Externí odkaz:
https://doaj.org/article/d50df855a6474978b11d88dbe53dc0ea
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S16, Pp 1-10 (2019)
Abstract Background Sleep is a complex and dynamic biological process characterized by different sleep patterns. Comprehensive sleep monitoring and analysis using multivariate polysomnography (PSG) records has achieved significant efforts to prevent
Externí odkaz:
https://doaj.org/article/838a6ce5ba54489e8b67912ff7787eb8
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss S6, Pp 1-13 (2019)
Abstract Background Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diagnosis prediction appr
Externí odkaz:
https://doaj.org/article/b1821723892e46608bc9d9b446982882
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66:1607-1611
In highly and fully automated vehicles (AV), drivers could divert their attention to non-driving-related activities. Drivers may also take over AVs if they do not trust the way AVs drive in specific driving scenarios. Existing models have been develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e79f0b618402cd43becaa80739a6140
https://doi.org/10.1177/1071181322661303
https://doi.org/10.1177/1071181322661303
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3877-3884
This paper focuses on a newly challenging setting in hard-label adversarial attacks on text data by taking the budget information into account. Although existing approaches can successfully generate adversarial examples in the hard-label setting, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70b4072a0b405e01dd87f377ac29b53c
https://doi.org/10.1609/aaai.v36i4.20303
https://doi.org/10.1609/aaai.v36i4.20303
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 10; Pages: 5865
Urban dwellers are exposed to communicable diseases, such as influenza, in various urban spaces. Current disease models are able to predict health outcomes at the individual scale but are mostly validated at coarse scales due to the lack of fine-scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9fd57e341d4203c85a545f1fd1611e1
Publikováno v:
ACM Transactions on Computer-Human Interaction.
Chatbot-based symptom checker (CSC) apps have become increasingly popular in healthcare. These apps engage users in human-like conversations and offer possible medical diagnoses. The conversational design of these apps can significantly impact user p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ab738849a7735e9511e01b1613dadf8
https://doi.org/10.1145/3589959
https://doi.org/10.1145/3589959
Automated machine learning (AutoML) is envisioned to make ML techniques accessible to ordinary users. Recent work has investigated the role of humans in enhancing AutoML functionality throughout a standard ML workflow. However, it is also critical to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::018dd234d6da43f84341b686dc338e65
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63bf0f5d0a48f30418135c5bf4a092e1
https://doi.org/10.1109/bibm55620.2022.9995209
https://doi.org/10.1109/bibm55620.2022.9995209
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6fc7df70a49f260039bf1ed822470f
https://doi.org/10.1109/bibm55620.2022.9994898
https://doi.org/10.1109/bibm55620.2022.9994898