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Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior
20 April 2024
Heinrich Peters
Joseph B. Bayer
S. C. Matz
Yikun Chi
S. Vaid
Gabriella M. Harari
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Papers citing
"Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior"
6 / 6 papers shown
Title
Using Sequences of Life-events to Predict Human Lives
Germans Savcisens
Tina Eliassi-Rad
L. K. Hansen
L. Mortensen
Lau Lilleholt
Anna Rogers
Ingo Zettler
Sune Lehmann
AI4TS
76
44
0
05 Jun 2023
BEHRT: Transformer for Electronic Health Records
Yikuan Li
Shishir Rao
J. R. A. Solares
A. Hassaine
D. Canoy
Yajie Zhu
K. Rahimi
G. Salimi-Khorshidi
OOD
110
461
0
22 Jul 2019
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat
Yozen Liu
Xiaolin Shi
Lucas Pierce
Xiang Ren
AI4TS
55
54
0
02 Jun 2019
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
208
1,101
0
04 Jul 2018
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
433
18,361
0
27 May 2016
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
246
16,373
0
30 Apr 2014
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