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Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic

Scientific reports, 2020-10, Vol.10 (1), p.18053-9, Article 18053

2020

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Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data

PloS one, 2019-02, Vol.14 (2), p.e0211375-e0211375

2019

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Understanding post-disaster population recovery patterns

Journal of the Royal Society interface, 2020-02, Vol.17 (163), p.20190532

2020

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Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location information

Scientific reports, 2020-10, Vol.10 (1), p.18680-18680, Article 18680

2020

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Forecasting Lifespan of Crowded Events with Acoustic Synthesis-Inspired Segmental Long Short-Term Memory

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Will you go where you search? A deep learning framework for estimating user search-and-go behavior

Neurocomputing (Amsterdam), 2022-02, Vol.472, p.338-348

2022

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Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data

Advances in Knowledge Discovery and Data Mining, p.247-259

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Data-driven estimation of economic indicators with search big data in discontinuous situation

The Journal of finance and data science, 2023-11, Vol.9, p.100106, Article 100106

2023

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YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories

Scientific data, 2024-04, Vol.11 (1), p.397-397, Article 397

2024

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Contextual Sentiment Neural Network for Document Sentiment Analysis

Data science and engineering, 2020-06, Vol.5 (2), p.180-192

2020

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Usefulness of web search queries for early detection of diseases in infants

Nagoya journal of medical science, 2021-02, Vol.83 (1), p.107-111

2021

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Predicting Delay of Commuting Activities Following Frequently Occurring Disasters Using Location Data from Smartphones

Journal of disaster research, 2017-03, Vol.12 (2), p.287-295

2017

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Trajectory fingerprint: one-shot human trajectory identification using Siamese network

CCF transactions on pervasive computing and interaction (Online), 2020-06, Vol.2 (2), p.113-125

2020

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Estimation of cross-lingual news similarities using text-mining methods

Journal of risk and financial management, 2018-03, Vol.11 (1), p.1-13

2018

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Dynamic Response of Blade Surface Cavitation

International Journal of Fluid Machinery and Systems, 2016, 9(2), 31, pp.160-168

2016

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DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction

IEEE transactions on knowledge and data engineering, 2023-01, Vol.35 (1), p.276-290

2023

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CityOutlook+: Early Crowd Dynamics Forecast Through Unbiased Regression With Importance-Based Synthetic Oversampling

IEEE pervasive computing, 2023-10, Vol.22 (4), p.26-34

2023

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SSCDV: Social media document embedding with sentiment and topics for financial market forecasting

Expert systems with applications, 2024-07, Vol.245, p.122988, Article 122988

2024

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Suppression of Cavitation Instabilities in an Inducer by the Circumferential Groove With Swirl Breakers

Journal of fluids engineering, 2022-11, Vol.144 (11)

2022

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Editor’s note: Special issue on Deep Modeling and Understanding of Big Human Mobility Data

GeoInformatica, 2024-05

2024

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Early warning of COVID-19 hotspots using human mobility and web search query data

Computers, environment and urban systems, 2022-03, Vol.92, p.101747-101747, Article 101747

2022

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Real-world large-scale study on adaptive notification scheduling on smartphones

Pervasive and mobile computing, 2018-10, Vol.50, p.1-24

2018

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Development of people mass movement simulation framework based on reinforcement learning

Transportation research. Part C, Emerging technologies, 2020-08, Vol.117, p.102706, Article 102706

2020

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Improving the Accuracy of Walking Context Recognition Using Step Rate

2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2021, p.1-8

2021

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Data-driven Simulation of Wireless Communication Signal Strength in Indoor Environments

2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2023, p.1-6

2023

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Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic

Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data

Understanding post-disaster population recovery patterns

Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location information

Forecasting Lifespan of Crowded Events with Acoustic Synthesis-Inspired Segmental Long Short-Term Memory

Will you go where you search? A deep learning framework for estimating user search-and-go behavior

Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data

Data-driven estimation of economic indicators with search big data in discontinuous situation

YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories

Contextual Sentiment Neural Network for Document Sentiment Analysis

Usefulness of web search queries for early detection of diseases in infants

Predicting Delay of Commuting Activities Following Frequently Occurring Disasters Using Location Data from Smartphones

Trajectory fingerprint: one-shot human trajectory identification using Siamese network

Estimation of cross-lingual news similarities using text-mining methods

Dynamic Response of Blade Surface Cavitation

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction

CityOutlook+: Early Crowd Dynamics Forecast Through Unbiased Regression With Importance-Based Synthetic Oversampling

SSCDV: Social media document embedding with sentiment and topics for financial market forecasting

Suppression of Cavitation Instabilities in an Inducer by the Circumferential Groove With Swirl Breakers

Editor’s note: Special issue on Deep Modeling and Understanding of Big Human Mobility Data

Early warning of COVID-19 hotspots using human mobility and web search query data

Real-world large-scale study on adaptive notification scheduling on smartphones

Development of people mass movement simulation framework based on reinforcement learning

Improving the Accuracy of Walking Context Recognition Using Step Rate

Data-driven Simulation of Wireless Communication Signal Strength in Indoor Environments

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