Zobrazeno 1 - 10
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pro vyhledávání: '"Soh BY"'
Graphical structure learning is an effective way to assess and visualize cross-biomarker dependencies in biomedical settings. Standard approaches to estimating graphs rely on conditional independence tests that may not be sensitive to associations th
Externí odkaz:
http://arxiv.org/abs/2411.17033
Trusted Execution Environments (TEEs) are critical components of modern secure computing, providing isolated zones in processors to safeguard sensitive data and execute secure operations. Despite their importance, TEEs are increasingly vulnerable to
Externí odkaz:
http://arxiv.org/abs/2411.14878
Autor:
Do, Hue T. B., Zhao, Meng, Li, Pengfei, Soh, Yu Wei, Rangaraj, Jagadesh, Liu, Bingyan, Jiang, Tianyu, Zhang, Xinyue, Lu, Jiong, Song, Peng, Teng, Jinghua, Bosman, Michel
Extreme light confinement down to the atomic scale has been theoretically predicted for ultrathin, Ta-based transition metal dichalcogenides (TMDs). In this work, we demonstrate in free-hanging 2H-TaS2 monolayers and bilayers slow light behaviour wit
Externí odkaz:
http://arxiv.org/abs/2411.07572
Autor:
Kumabe, Soh
Let $\mathcal{D}$ be a set family that is the solution domain of some combinatorial problem. The \emph{max-min diversification problem on $\mathcal{D}$} is the problem to select $k$ sets from $\mathcal{D}$ such that the Hamming distance between any t
Externí odkaz:
http://arxiv.org/abs/2411.02845
This paper introduces the first generalization and adaptation benchmark using machine learning for evaluating out-of-distribution performance of electromyography (EMG) classification algorithms. The ability of an EMG classifier to handle inputs drawn
Externí odkaz:
http://arxiv.org/abs/2410.23625
Autor:
Yergibay, Madina, Mussin, Tleukhan, Seitzhan, Saltanat, Kenzhebek, Daryn, Kappassov, Zhanat, Soh, Harold, Taunyazov, Tasbolat
While most tactile sensors rely on measuring pressure, insights from continuum mechanics suggest that measuring shear strain provides critical information for tactile sensing. In this work, we introduce an optical tactile sensing principle based on s
Externí odkaz:
http://arxiv.org/abs/2410.23516
Autor:
Lei, Xiaofeng, Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Feng, Yangqin, Bai, Yang, Da Soh, Zhi, Goh, Rick Siow Mong, Xu, Xinxing, Liu, Yong, Cheng, Ching-Yu
Community vision screening plays a crucial role in identifying individuals with vision loss and preventing avoidable blindness, particularly in rural communities where access to eye care services is limited. Currently, there is a pressing need for a
Externí odkaz:
http://arxiv.org/abs/2410.20309
Autor:
Shim, Ryan Soh-Eun, Plank, Barbara
There is increasing interest in looking at dialects in NLP. However, most work to date still treats dialects as discrete categories. For instance, evaluative work in variation-oriented NLP for English often works with Indian English or African-Americ
Externí odkaz:
http://arxiv.org/abs/2410.14589
Autor:
Soh, Yun Joon, Zhao, Jishen
The explosion of open-sourced models and Question-Answering (QA) datasets emphasizes the importance of automated QA evaluation. We studied the statistics of the existing evaluation metrics for a better understanding of their limitations. By measuring
Externí odkaz:
http://arxiv.org/abs/2410.10030
Autor:
Ke, Yu He, Jin, Liyuan, Elangovan, Kabilan, Abdullah, Hairil Rizal, Liu, Nan, Sia, Alex Tiong Heng, Soh, Chai Rick, Tung, Joshua Yi Min, Ong, Jasmine Chiat Ling, Kuo, Chang-Fu, Wu, Shao-Chun, Kovacheva, Vesela P., Ting, Daniel Shu Wei
Large Language Models (LLMs) show potential for medical applications but often lack specialized clinical knowledge. Retrieval Augmented Generation (RAG) allows customization with domain-specific information, making it suitable for healthcare. This st
Externí odkaz:
http://arxiv.org/abs/2410.08431