An Unsupervised Error Detection Methodology for Detecting Mislabels in Healthcare Analytics von Zhou, Pei-Yuan, Lum, Faith, Wang, Tony Jiecao, Bhatti, Anubhav, Parmar, Surajsinh, Dan, Chen, Wong, Andrew K C

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Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models von Gupta, Divij, Bhatti, Anubhav, Parmar, Surajsinh

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Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning Approach von Zhou, Meng, Parmar, Surajsinh, Bhatti, Anubhav

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SM70: A Large Language Model for Medical Devices von Bhatti, Anubhav, Parmar, Surajsinh, Lee, San

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Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models von Gupta, Divij, Bhatti, Anubhav, Parmar, Surajsinh

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Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning Approach von Zhou, Meng, Parmar, Surajsinh, Bhatti, Anubhav

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Extending Machine Learning-Based Early Sepsis Detection to Different Demographics von Parmar, Surajsinh, Shan, Tao, Lee, San, Kim, Yonghwan, Kim, Jang Yong

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Investigating Poor Performance Regions of Black Boxes: LIME-based Exploration in Sepsis Detection von Salimiparsa, Mozhgan, Parmar, Surajsinh, Lee, San, Kim, Choongmin, Kim, Yonghwan, Kim, Jang Yong

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SM70: A Large Language Model for Medical Devices von Bhatti, Anubhav, Parmar, Surajsinh, Lee, San

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Extending Machine Learning-Based Early Sepsis Detection to Different Demographics von Parmar, Surajsinh, Tao Shan, Lee, San, Kim, Yonghwan, Jang Yong Kim

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Investigating Poor Performance Regions of Black Boxes: LIME-based Exploration in Sepsis Detection von Salimiparsa, Mozhgan, Parmar, Surajsinh, Lee, San, Kim, Choongmin, Kim, Yonghwan, Jang Yong Kim

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Hyperparameter Tuning for an Enhanced Self-Attention-Based Actor-Critical DDPG Framework von Mohammed, Ehsan Ur Rahman, Parmar, Surajsinh Prakashchandra, Pirani, Rayhaan, Kapoor, Kriti

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