A Survey on Deep Learning for Human Mobility

A Survey on Deep Learning for Human Mobility

4 December 2020

Massimiliano Luca

Gianni Barlacchi

Luca Pappalardo

Papers citing "A Survey on Deep Learning for Human Mobility"

13 / 13 papers shown

Title
Collection, usage and privacy of mobility data in the enterprise and public administrations Alexandra Kapp 19 4 0 04 Jul 2024
Large Language Models are Zero-Shot Next Location Predictors Ciro Beneduce Bruno Lepri Massimiliano Luca 35 7 0 31 May 2024
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization Shun Takagi Li Xiong Fumiyuki Kato Yang Cao Masatoshi Yoshikawa 3DH 46 2 0 13 May 2024
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches Jinmeng Rao Song Gao Sijia Zhu 32 19 0 20 Sep 2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence Gengchen Mai Weiming Huang Jin Sun Suhang Song Deepak Mishra ... Yingjie Hu Chris Cundy Ziyuan Li Rui Zhu Ni Lao AI4CE 32 123 0 13 Apr 2023
Analysing Fairness of Privacy-Utility Mobility Models Yuting Zhan Hamed Haddadi A. Mashhadi 27 0 0 10 Apr 2023
Context-aware multi-head self-attentional neural network model for next location prediction Ye Hong Yatao Zhang Konrad Schindler Martin Raubal HAI 6 17 0 04 Dec 2022
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets Anna Nguyen Antonio Longa Massimiliano Luca Joe Kaul Gabriel Lopez 41 12 0 02 Jul 2022
Trajectory Test-Train Overlap in Next-Location Prediction Datasets Massimiliano Luca Luca Pappalardo Bruno Lepri Gianni Barlacchi 22 5 0 07 Mar 2022
Generating Synthetic Mobility Networks with Generative Adversarial Networks G. Mauro Massimiliano Luca Antonio Longa Bruno Lepri Luca Pappalardo GAN 18 23 0 22 Feb 2022
Privacy-Aware Human Mobility Prediction via Adversarial Networks Yuting Zhan Alex Kyllo A. Mashhadi Hamed Haddadi 22 7 0 19 Jan 2022
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information F. Simini Gianni Barlacchi Massimilano Luca Luca Pappalardo HAI 18 174 0 01 Dec 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015