Zobrazeno 1 - 10
of 16 906
pro vyhledávání: '"risk detection"'
The detection of suicide risk in social media is a critical task with potential life-saving implications. This paper presents a study on leveraging state-of-the-art natural language processing solutions for identifying suicide risk in social media po
Externí odkaz:
http://arxiv.org/abs/2410.08375
Autor:
Huber, Birkett, Neo, Casper, Sampson, Keiran, Kantchelian, Alex, Ksobiech, Brett, Pavlidis, Yanis
We present a method to detect departures from business-justified workflows among support agents. Our goal is to assist auditors in identifying agent actions that cannot be explained by the activity within their surrounding context, where normal activ
Externí odkaz:
http://arxiv.org/abs/2411.02645
Jailbreaking attacks show how Large Language Models (LLMs) can be tricked into generating harmful outputs using malicious prompts. To prevent these attacks, other LLMs are often used as judges to evaluate the harmfulness of the generated content. How
Externí odkaz:
http://arxiv.org/abs/2411.01077
Autor:
Wu, Siyi, Cao, Weidan, Fu, Shihan, Yao, Bingsheng, Yang, Ziqi, Yin, Changchang, Mishra, Varun, Addison, Daniel, Zhang, Ping, Wang, Dakuo
Despite recent advances in cancer treatments that prolong patients' lives, treatment-induced cardiotoxicity remains one severe side effect. The clinical decision-making of cardiotoxicity is challenging, as non-clinical symptoms can be missed until li
Externí odkaz:
http://arxiv.org/abs/2410.04592
Autor:
Zhang, Zhenwei1,2 (AUTHOR) 2100241036@email.szu.edu.cn, Zhang, Shengming3 (AUTHOR) pedestrianm@163.com, Ni, Dong1,2 (AUTHOR) nidong@szu.edu.cn, Wei, Zhaoguo4,5 (AUTHOR) rowzag@163.com, Yang, Kongjun4,5 (AUTHOR) yangkongjun0755@163.com, Jin, Shan4,5 (AUTHOR) 18249990356@163.com, Huang, Gan1,2 (AUTHOR) huanggan@szu.edu.cn, Liang, Zhen1,2 (AUTHOR) janezliang@szu.edu.cn, Zhang, Li1,2 (AUTHOR) lzhang@szu.edu.cn, Li, Linling1,2 (AUTHOR) lilinling@szu.edu.cn, Ding, Huijun1,2 (AUTHOR) hjding@szu.edu.cn, Zhang, Zhiguo6,7 (AUTHOR) zhiguozhang@hit.edu.cn, Wang, Jianhong4,5 (AUTHOR) zhiguozhang@hit.edu.cn
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 12, p3714. 19p.
This paper explores the application of Natural Language Processing (NLP) in financial risk detection. By constructing an NLP-based financial risk detection model, this study aims to identify and predict potential risks in financial documents and comm
Externí odkaz:
http://arxiv.org/abs/2406.09765
The early detection of suicide risk is important since it enables the intervention to prevent potential suicide attempts. This paper studies the automatic detection of suicide risk based on spontaneous speech from adolescents, and collects a Mandarin
Externí odkaz:
http://arxiv.org/abs/2406.03882
Autor:
Topuz, Kazim1 (AUTHOR), Davazdahemami, Behrooz2 (AUTHOR) davazdab@uww.edu, Delen, Dursun3,4 (AUTHOR)
Publikováno v:
Annals of Operations Research. Oct2024, Vol. 341 Issue 1, p673-697. 25p.
Autor:
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Acharya, U Rajendra, Gururajan, Raj, Xie, Haoran, Zhou, Xujuan
Suicide is a prominent issue in society. Unfortunately, many people at risk for suicide do not receive the support required. Barriers to people receiving support include social stigma and lack of access to mental health care. With the popularity of s
Externí odkaz:
http://arxiv.org/abs/2405.05795
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