Learning Behavioral Representations of Routines From Large-scale
Unlabeled Wearable Time-series Data Streams using Hawkes Point Process

Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process

10 July 2023

Brandon M. Booth

Shrikanth Narayanan

Papers citing "Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process"

8 / 8 papers shown

Title
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting Vijayabharathi Ekambaram Arindam Jati Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AI4TS 100 151 0 14 Jun 2023
Multimodal Estimation of Change Points of Physiological Arousal in Drivers Kleanthis Avramidis Tiantian Feng Digbalay Bose Shrikanth Narayanan 47 3 0 28 Oct 2022
TS2Vec: Towards Universal Representation of Time Series Zhihan Yue Yujing Wang Juanyong Duan Tianmeng Yang Congrui Huang Yu Tong Bixiong Xu AI4TS 69 567 0 19 Jun 2021
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers Karel Mundnich Brandon M. Booth Michelle L’Hommedieu Tiantian Feng Benjamin Girault ... J. Villatte T. Falk Kristina Lerman Emilio Ferrara Shrikanth Narayanan 46 49 0 18 Mar 2020
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data David Hallac Sagar Vare Stephen P. Boyd J. Leskovec AI4TS 33 275 0 10 Jun 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 305 1,934 0 06 Jun 2016
Learning Granger Causality for Hawkes Processes Hongteng Xu Mehrdad Farajtabar H. Zha AI4TS CML 50 227 0 14 Feb 2016
Graphical models for marked point processes based on local independence Vanessa Didelez 103 165 0 31 Oct 2007

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