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Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models

28 January 2025
Huayu Li
Xiwen Chen
C. Zhang
S. Quan
William D.S. Killgore
Shu-Fen Wung
Chen X. Chen
Geng Yuan
Jin Lu
Ao Li
ArXiv (abs)PDFHTML

Papers citing "Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models"

18 / 18 papers shown
Title
Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs
Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs
Wei Li
Yunyao Cheng
Xinli Hao
Chaohong Ma
Yuxuan Liang
Bin Yang
Christian S.Jensen
Xiaofeng Meng
AI4TS
47
0
0
13 Jun 2025
Exploration of LLMs, EEG, and behavioral data to measure and support
  attention and sleep
Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep
Akane Sano
Judith Amores
Mary Czerwinski
39
5
0
01 Aug 2024
Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang
Nan Huang
Taida Li
Yujun Yan
Xiang Zhang
MedImAI4TS
105
28
0
24 May 2024
TimeMIL: Advancing Multivariate Time Series Classification via a
  Time-aware Multiple Instance Learning
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
Xiwen Chen
Peijie Qiu
Wenhui Zhu
Huayu Li
Hao Wang
Aristeidis Sotiras
Yalin Wang
Abolfazl Razi
AI4TS
83
9
0
06 May 2024
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case
  Study in Medicine
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Harsha Nori
Yin Tat Lee
Sheng Zhang
Dean Carignan
Richard Edgar
...
Hoifung Poon
Tao Qin
Naoto Usuyama
Chris White
Eric Horvitz
LM&MAAI4MHMedImELM
116
328
0
28 Nov 2023
Inherently Interpretable Time Series Classification via Multiple
  Instance Learning
Inherently Interpretable Time Series Classification via Multiple Instance Learning
Joseph Early
Gavin K. C. Cheung
Kurt Cutajar
Hanting Xie
Jas Kandola
Niall Twomey
AI4TS
106
13
0
16 Nov 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Yihe Wang
Yu Han
Haishuai Wang
Xiang Zhang
AI4TS
121
53
0
21 Oct 2023
MTS-LOF: Medical Time-Series Representation Learning via
  Occlusion-Invariant Features
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
Huayu Li
Ana S. Carreon-Rascon
Xiwen Chen
Geng Yuan
Ao Li
AI4TS
38
5
0
19 Oct 2023
Conformal Risk Control
Conformal Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Adam Fisch
Lihua Lei
Tal Schuster
217
141
0
04 Aug 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&RoLRMAI4CEReLM
1.1K
9,827
0
28 Jan 2022
TransMIL: Transformer based Correlated Multiple Instance Learning for
  Whole Slide Image Classification
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhucheng Shao
Hao Bian
Yang Chen
Yifeng Wang
Jian Zhang
Xiangyang Ji
Yongbing Zhang
ViTMedIm
166
692
0
02 Jun 2021
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
196
1,136
0
11 Sep 2019
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
232
1,845
0
13 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
1.0K
133,599
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.4K
22,400
0
22 May 2017
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
333
1,957
0
06 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,241
0
16 Feb 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
1.0K
9,393
0
06 Jun 2015
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