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Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
v1v2 (latest)

Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models

4 April 2025
Hengyu Lin
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models"

13 / 13 papers shown
Title
xLSTMTime : Long-term Time Series Forecasting With xLSTM
xLSTMTime : Long-term Time Series Forecasting With xLSTM
Musleh Alharthi
A. Mahmood
AI4TS
57
19
0
14 Jul 2024
Lag-Llama: Towards Foundation Models for Probabilistic Time Series
  Forecasting
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Kashif Rasul
Arjun Ashok
Andrew Robert Williams
Hena Ghonia
Rishika Bhagwatkar
...
Nicolas Chapados
Alexandre Drouin
Valentina Zantedeschi
Yuriy Nevmyvaka
Irina Rish
AI4TSBDL
79
49
0
12 Oct 2023
Large Language Models are Few-Shot Health Learners
Large Language Models are Few-Shot Health Learners
Xin Liu
Daniel J. McDuff
G. Kovács
I. Galatzer-Levy
Jacob Sunshine
Jiening Zhan
M. Poh
Shun Liao
P. Achille
Shwetak N. Patel
LM&MAAI4MH
102
113
0
24 May 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.5K
13,420
0
27 Feb 2023
Large Language Models Encode Clinical Knowledge
Large Language Models Encode Clinical Knowledge
K. Singhal
Shekoofeh Azizi
T. Tu
S. S. Mahdavi
Jason W. Wei
...
A. Rajkomar
Joelle Barral
Christopher Semturs
Alan Karthikesalingam
Vivek Natarajan
LM&MAELMAI4MH
146
2,352
0
26 Dec 2022
Lower-limb kinematics and kinetics during continuously varying human
  locomotion
Lower-limb kinematics and kinetics during continuously varying human locomotion
Emma Reznick
Kyle R. Embry
R. Neuman
Edgar A. Bolívar-Nieto
Nicholas P. Fey
Robert Gregg
37
85
0
27 Aug 2021
Dive into Deep Learning
Dive into Deep Learning
Aston Zhang
Zachary Chase Lipton
Mu Li
Alexander J. Smola
VLM
79
569
0
21 Jun 2021
Transformer Interpretability Beyond Attention Visualization
Transformer Interpretability Beyond Attention Visualization
Hila Chefer
Shir Gur
Lior Wolf
137
671
0
17 Dec 2020
Time Series Forecasting With Deep Learning: A Survey
Time Series Forecasting With Deep Learning: A Survey
Bryan Lim
S. Zohren
AI4TSAI4CE
94
1,228
0
28 Apr 2020
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
722
132,199
0
12 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
644
29,076
0
09 Sep 2016
Quantifying the vanishing gradient and long distance dependency problem
  in recursive neural networks and recursive LSTMs
Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs
Phong Le
Willem H. Zuidema
66
59
0
01 Mar 2016
End-to-end Continuous Speech Recognition using Attention-based Recurrent
  NN: First Results
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
J. Chorowski
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
98
471
0
04 Dec 2014
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