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1706.00527
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Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
International Conference on Multimodal Interaction (ICMI), 2017
2 June 2017
T. T. Um
Franz MJ Pfister
Daniel C. Pichler
Satoshi Endo
Muriel Lang
Sandra Hirche
U. Fietzek
Dana Kulić
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Papers citing
"Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks"
50 / 148 papers shown
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Efficient Online Continual Learning in Sensor-Based Human Activity Recognition
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If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
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Deep Learning-Based Detection of Cognitive Impairment from Passive Smartphone Sensing with Routine-Aware Augmentation and Demographic Personalization
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27 Sep 2025
Manifold-Aware Diffusion-Augmented Contrastive Learning for Noise-Robust Biosignal Representation
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269
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Physically Plausible Data Augmentations for Wearable IMU-based Human Activity Recognition Using Physics Simulation
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Philip Birch
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18 Aug 2025
Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data
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VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
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Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
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Yuen Chau
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475
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211
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PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
International Conference on Activity and Behavior Computing (ABC), 2025
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Vitor Fortes Rey
Sungho Suh
Bo Zhou
P. Lukowicz
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197
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23 Mar 2025
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
Lulu Ban
Tao Zhu
Xiangqing Lu
Qi Qiu
Wenyong Han
Shuangjian Li
L. Chen
Kevin I-Kai Wang
Mingxing Nie
Yaping Wan
507
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16 Mar 2025
On Neural Inertial Classification Networks for Pedestrian Activity Recognition
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Ofir Kruzel
Victoria Khalfin Fekson
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275
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23 Feb 2025
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388
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Ying Lei
Yancheng Cao
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354
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306
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386
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H. Haresamudram
Chi Ian Tang
Sungho Suh
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Thomas Ploetz
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Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment
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Garvit Chugh
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253
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Neural Information Processing Systems (NeurIPS), 2024
Xiyuan Zhang
Diyan Teng
Ranak Roy Chowdhury
Shuheng Li
Dezhi Hong
Rajesh K. Gupta
Jingbo Shang
AI4TS
250
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18 Oct 2024
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
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Chiao-Tung Chan
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321
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16 Oct 2024
Time Series Viewmakers for Robust Disruption Prediction
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Tavis Siebert
Lucas Spangher
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Cristina Rea
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Does SpatioTemporal information benefit Two video summarization benchmarks?
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188
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Large Language Model-Guided Semantic Alignment for Human Activity Recognition
Hua Yan
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686
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Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting
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Jafar Bakhshaliyev
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Kami Serdar Uckardes
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265
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Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges
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351
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Data Augmentation for Multivariate Time Series Classification: An Experimental Study
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Thai V. Hoang
Zonghua Zhang
240
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A Language Model-Guided Framework for Mining Time Series with Distributional Shifts
Haibei Zhu
Yousef El-Laham
Elizabeth Fons
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AI4TS
214
1
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07 Jun 2024
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
Knowledge Discovery and Data Mining (KDD), 2024
Junru Zhang
Lang Feng
Zhidan Liu
Yuhan Wu
Yang He
Yabo Dong
Duanqing Xu
367
10
0
07 Jun 2024
Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction
Junzhi Wen
R. Angryk
AI4TS
155
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31 May 2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction
Kai Zhao
Zuojie He
A. Hung
Dan Zeng
AI4TS
267
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26 May 2024
A Comprehensive Survey on Data Augmentation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
788
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15 May 2024
Concrete Dense Network for Long-Sequence Time Series Clustering
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Patrizio Pisani
Danilo Comminiello
AI4TS
209
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Data Augmentation Policy Search for Long-Term Forecasting
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Omri Azencot
AI4TS
TPM
555
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Transportation mode recognition based on low-rate acceleration and location signals with an attention-based multiple-instance learning network
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Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
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Jonathan Gershuny
Aiden Doherty
291
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Phase-driven Domain Generalizable Learning for Nonstationary Time Series
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Antoni Viros i Martin
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Mudhakar Srivatsa
Tarek Abdelzaher
334
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Balancing Continual Learning and Fine-tuning for Human Activity Recognition
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Lorena Qendro
Dimitris Spathis
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Akhil Mathur
Cecilia Mascolo
SSL
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319
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SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
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Sunjae Yoon
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Eunseop Yoon
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AI4TS
373
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TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
Ching Chang
Chiao-Tung Chan
Wei-Yao Wang
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AI4TS
442
18
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Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
IEEE Sensors Journal (IEEE Sens. J.), 2023
Duc A. Nguyen
Cuong Pham
Nhien-An Le-Khac
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348
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Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data
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Yuzhe Zhang
Yuntang Wang
Shwetak N. Patel
Daniel J. McDuff
Yuzhe Yang
Xin Liu
420
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FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Neural Information Processing Systems (NeurIPS), 2023
Shengzhong Liu
Tomoyoshi Kimura
Dongxin Liu
Ruijie Wang
Jinyang Li
Suhas Diggavi
Mani B. Srivastava
Tarek Abdelzaher
AI4TS
281
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Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Megha Thukral
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Thomas Ploetz
295
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22 Oct 2023
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