Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Rim Helaoui"'
Publikováno v:
IEEE Access, Vol 10, Pp 91802-91815 (2022)
The use of superior algorithms and complex architectures in language models have successfully imparted human-like abilities to machines for specific tasks. But two significant constraints, the available training data size and the understanding of dom
Externí odkaz:
https://doaj.org/article/f41c1234a6f0449ebb0f00e4fbfa72b5
Autor:
Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni
Publikováno v:
Future Internet, Vol 15, Iss 3, p 110 (2023)
Research on the analysis of counselling conversations through natural language processing methods has seen remarkable growth in recent years. However, the potential of this field is still greatly limited by the lack of access to publicly available th
Externí odkaz:
https://doaj.org/article/6de5b2ef7d0644399df3aa82a5572420
Publikováno v:
IEEE Access, Vol 9, Pp 7107-7126 (2021)
The past decade has seen an explosion of the amount of digital information generated within the healthcare domain. Digital data exist in the form of images, video, speech, transcripts, electronic health records, clinical records, and free-text. Analy
Externí odkaz:
https://doaj.org/article/987f2b800861489a9b294c11fc58eb0c
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1499aae91660a25dd79228232d6b7e6
https://doi.org/10.21437/interspeech.2022-506
https://doi.org/10.21437/interspeech.2022-506
Autor:
Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Ehud Reiter, Diego Reforgiato Recupero, Daniele Riboni
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb8f4d90cbd6bf98d8f8fcf1985808d0
https://doi.org/10.1109/icassp43922.2022.9746035
https://doi.org/10.1109/icassp43922.2022.9746035
Autor:
Vivek Kumar, Simone Balloccu, Zixiu Wu, Ehud Reiter, Rim Helaoui, Diego Recupero, Daniele Riboni
Publikováno v:
Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0174291a8c19e8b37ecda3887008235b
https://doi.org/10.5220/0011531400003523
https://doi.org/10.5220/0011531400003523
Publikováno v:
Companion Publication of the 2020 International Conference on Multimodal Interaction
Empathetic response from the therapist is key to the success of clinical psychotherapy, especially motivational interviewing. Previous work on computational modelling of empathy in motivational interviewing has focused on offline, session-level asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f750a7c4b034797dafc71b907c501c94
Publikováno v:
Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access.
Gauging therapist empathy in counselling is an important component of understanding counselling quality. While session-level empathy assessment based on machine learning has been investigated extensively, it relies on relatively large amounts of well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d62eddd5afa1d4c40c7504c6111969f
https://doi.org/10.18653/v1/2021.clpsych-1.22
https://doi.org/10.18653/v1/2021.clpsych-1.22
Publikováno v:
IEEE Access
IEEE Access, Vol 9, Pp 7107-7126 (2021)
IEEE Access, Vol 9, Pp 7107-7126 (2021)
The past decade has seen an explosion of the amount of digital information generated within the healthcare domain. Digital data exist in the form of images, video, speech, transcripts, electronic health records, clinical records, and free-text. Analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1394c4f40454deadde2a94690d417e8
Publikováno v:
Scopus-Elsevier
Today, we are seeing an ever-increasing number of clinical notes that contain clinical results, images, and textual descriptions of pa- patient's health state. All these data can be analyzed and employed to cater novel services that can help people a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d23a33dd26a857cd9540c42656f924
https://publikationen.bibliothek.kit.edu/1000134478/119150390
https://publikationen.bibliothek.kit.edu/1000134478/119150390