GAN-based Abnormal Detection by Recognizing Ungeneratable Patterns. - Soto Anno; Yuichi Sasaki (ACPR (2), 2019)

Supervised-CityProphet: Towards Accurate Anomalous Crowd Prediction. - Soto Anno; Kota Tsubouchi; Masamichi Shimosaka (SIGSPATIAL/GIS, 2020)

CityOutlook: Early Crowd Dynamics Forecast towards Irregular Events Detection with Synthetically Unbiased Regression. - Soto Anno; Kota Tsubouchi; Masamichi Shimosaka (SIGSPATIAL/GIS, 2021)

CityScouter: Exploring the Atmosphere of Urban Landscapes and Visitor Demands with Multimodal Data. - Yuki Kubota; Soto Anno; Tomomi Taniguchi; Kosei Miyazaki; Akira Tsujimoto; Hiraki Yasuda; Takayuki Sakamoto; Takaaki Ishikawa; Kota Tsubouchi; Masamichi Shimosaka (UbiComp/ISWC Adjunct, 2023)

CityOutlook+: Early Crowd Dynamics Forecast Through Unbiased Regression With Importance-Based Synthetic Oversampling. - Soto Anno; Kota Tsubouchi; Masamichi Shimosaka (IEEE Pervasive Comput., 2023)

Revealing Universities' Atmosphere from Visitor Interests Using Search Queries and GPS Logs. - Kaoru Miyanaga; Soto Anno; Kota Tsubouchi; Masamichi Shimosaka (IEEE Big Data, 2024)

Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports. - Soto Anno; Kota Tsubouchi; Masamichi Shimosaka (SIGSPATIAL/GIS, 2024)

Are Crowded Events Forecastable from Promotional Announcements with Large Language Models? - Soto Anno; Dario Tenore; Kota Tsubouchi; Masamichi Shimosaka (SIGSPATIAL/GIS, 2024)

Forecasting Lifespan of Crowded Events With Acoustic Synthesis-Inspired Segmental Long Short-Term Memory. - Soto Anno; Kota Tsubouchi; Masamichi Shimosaka (IEEE Access, 2024)

Early crowd forecasting away from stations by geographically complemented regression using transit search and mobility logs. - Soto Anno; Kota Tsubouchi; Masamichi Shimosaka (J. Big Data, 2025)