Zobrazeno 1 - 10
of 3 426
pro vyhledávání: '"Tokuhisa A"'
Self-supervised learning for image denoising problems in the presence of denaturation for noisy data is a crucial approach in machine learning. However, theoretical understanding of the performance of the approach that uses denatured data is lacking.
Externí odkaz:
http://arxiv.org/abs/2405.01124
Publikováno v:
Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR 238:1666-1674, 2024
Classification models based on deep neural networks (DNNs) must be calibrated to measure the reliability of predictions. Some recent calibration methods have employed a probabilistic model on the probability simplex. However, these calibration method
Externí odkaz:
http://arxiv.org/abs/2402.13765
Autor:
Li, Yunmeng, Suzuki, Jun, Morishita, Makoto, Abe, Kaori, Tokuhisa, Ryoko, Brassard, Ana, Inui, Kentaro
Publikováno v:
Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, pages 88-95, November 2022, Online. Association for Computational Linguistics
In this paper, we describe the development of a communication support system that detects erroneous translations to facilitate crosslingual communications due to the limitations of current machine chat translation methods. We trained an error detecto
Externí odkaz:
http://arxiv.org/abs/2308.01044
Publikováno v:
Case Reports in Ophthalmology, Vol 15, Iss 1, Pp 621-627 (2024)
Introduction: Neuromyelitis optica spectrum disorder (NMOSD) is an autoimmune disorder that principally targets the central nervous system, specifically the spinal cord and optic nerves. NMOSD is often associated with thyroid pathologies such as Grav
Externí odkaz:
https://doaj.org/article/b7fbb3826b5c4dfcab8d2a6eca1a0229
One major challenge in machine learning applications is coping with mismatches between the datasets used in the development and those obtained in real-world applications. These mismatches may lead to inaccurate predictions and errors, resulting in po
Externí odkaz:
http://arxiv.org/abs/2303.05102
Publikováno v:
Resuscitation Plus, Vol 20, Iss , Pp 100811- (2024)
Aim: High-risk deliveries are still common due to the increased use of assisted reproductive technologies. In Japan, despite centralization of labor, about half of all deliveries are still carried out in obstetric clinics. Telemedicine support is imp
Externí odkaz:
https://doaj.org/article/cac415e0577d459f94c79b0e98554094
Autor:
Sato, Shiki, Kishinami, Yosuke, Sugiyama, Hiroaki, Akama, Reina, Tokuhisa, Ryoko, Suzuki, Jun
Automation of dialogue system evaluation is a driving force for the efficient development of dialogue systems. This paper introduces the bipartite-play method, a dialogue collection method for automating dialogue system evaluation. It addresses the l
Externí odkaz:
http://arxiv.org/abs/2211.10596
Autor:
Shida, Yuuki, Sugawara, Masami, Tsumura, Ryosuke, Chiba, Haruaki, Uejima, Tokuhisa, Iwata, Hiroyasu
Purpose: Conventional robotic ultrasound systems were utilized with patients in supine positions. Meanwhile, the limitation of the systems is that it is difficult to evacuate the patients in case of emergency (e.g., patient discomfort and system fail
Externí odkaz:
http://arxiv.org/abs/2210.13809
Prior studies addressing target-oriented conversational tasks lack a crucial notion that has been intensively studied in the context of goal-oriented artificial intelligence agents, namely, planning. In this study, we propose the task of Target-Guide
Externí odkaz:
http://arxiv.org/abs/2209.09746
Avoiding the generation of responses that contradict the preceding context is a significant challenge in dialogue response generation. One feasible method is post-processing, such as filtering out contradicting responses from a resulting n-best respo
Externí odkaz:
http://arxiv.org/abs/2208.02578