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Soto Anno
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2020 – today
- 2024
- [j2]Soto Anno
, Kota Tsubouchi, Masamichi Shimosaka
Forecasting Lifespan of Crowded Events With Acoustic Synthesis-Inspired Segmental Long Short-Term Memory. IEEE Access 12: 87309-87322 (2024) - [c6]Soto Anno
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports. SIGSPATIAL/GIS 2024: 525-528 - [c5]Soto Anno
Are Crowded Events Forecastable from Promotional Announcements with Large Language Models? SIGSPATIAL/GIS 2024: 529-532 - [i1]Soto Anno, Kota Tsubouchi, Masamichi Shimosaka:
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports. CoRR abs/2410.17510 (2024) - 2023
- [j1]Soto Anno
CityOutlook+: Early Crowd Dynamics Forecast Through Unbiased Regression With Importance-Based Synthetic Oversampling. IEEE Pervasive Comput. 22(4): 26-34 (2023) - [c4]Yuki Kubota
CityScouter: Exploring the Atmosphere of Urban Landscapes and Visitor Demands with Multimodal Data. UbiComp/ISWC Adjunct 2023: 157-161 - 2021
- [c3]Soto Anno, Kota Tsubouchi
CityOutlook: Early Crowd Dynamics Forecast towards Irregular Events Detection with Synthetically Unbiased Regression. SIGSPATIAL/GIS 2021: 207-210 - 2020
- [c2]Soto Anno, Kota Tsubouchi
Supervised-CityProphet: Towards Accurate Anomalous Crowd Prediction. SIGSPATIAL/GIS 2020: 175-178
2010 – 2019
- 2019
- [c1]Soto Anno, Yuichi Sasaki:
GAN-based Abnormal Detection by Recognizing Ungeneratable Patterns. ACPR (2) 2019: 401-411
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last updated on 2024-12-02 22:34 CET by the dblp team
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