Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ismini Lourentzou"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. B
Externí odkaz:
https://doaj.org/article/2a5ae2ba3cf24cd28c52398fc232bd8e
Publikováno v:
EBioMedicine, Vol 90, Iss , Pp 104525- (2023)
Externí odkaz:
https://doaj.org/article/ba3bd3f31b9249b4a77a3a3ddfed8881
Publikováno v:
PLOS Digital Health, Vol 2, Iss 2, p e0000205 (2023)
Externí odkaz:
https://doaj.org/article/6871af27553c4ccb9544b167868541fb
Autor:
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-18 (2021)
Measurement(s) chest X-ray image • radiologist’s dictation audio data • radiologist’s eye gaze coordinates data Technology Type(s) eye tracking device • machine learning • Radiologist • Chest Radiography Sample Characteristic - Organism
Externí odkaz:
https://doaj.org/article/e806c972d90d404d83909fd6318594f6
Autor:
Tre Tomaszewski, Alex Morales, Ismini Lourentzou, Rachel Caskey, Bing Liu, Alan Schwartz, Jessie Chin
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 9, p e30451 (2021)
BackgroundThe vaccination uptake rates of the human papillomavirus (HPV) vaccine remain low despite the fact that the effectiveness of HPV vaccines has been established for more than a decade. Vaccine hesitancy is in part due to false information abo
Externí odkaz:
https://doaj.org/article/3340704c6e1e4a9c9f7068dcec44d8ca
Social media platforms have enabled extremists to organize violent events, such as the 2021 U.S. Capitol Attack. Simultaneously, these platforms enable professional investigators and amateur sleuths to collaboratively collect and identify imagery of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a828f2ea131d63578af9befb548f1ed
https://hdl.handle.net/10919/114864
https://hdl.handle.net/10919/114864
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4275bfef5ccb9900fb5f921b15c5450
https://doi.org/10.1109/bigdata55660.2022.10020861
https://doi.org/10.1109/bigdata55660.2022.10020861
Publikováno v:
Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42ca05da9e4781aa487a55d906cb7dee
https://doi.org/10.1145/3529190.3529222
https://doi.org/10.1145/3529190.3529222
Autor:
Mohammad Hesam Soleimani-Babakamali, Roksana Soleimani-Babakamali, Rodrigo Sarlo, Mohammed F. Farghally, Ismini Lourentzou
Publikováno v:
Mechanical Systems and Signal Processing. 187:109910
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::570585d333a24673ab05f8909ee3f45e
https://doi.org/10.1016/j.ymssp.2022.109910
https://doi.org/10.1016/j.ymssp.2022.109910
Publikováno v:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
The curse of dimensionality (CD) brings difficulties in pattern recognition problems, such as those found in structural health monitoring (SHM). Dimensionality reduction techniques (DR) make data more manageable by reducing noise and noninformative p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::932ad0d4b0ec832def40b1eb3bec274f
https://doi.org/10.12783/shm2021/36311
https://doi.org/10.12783/shm2021/36311