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Characterizing the relationship between environment layout and crowd movement using machine learning.

, , , , , and . MIG, page 2:1-2:6. ACM, (2017)

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HMFS: Hybrid Masking for Few-Shot Segmentation., , , , , , and . CoRR, (2022)D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM, , and . Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, page 1582--158. Phoenix, Arizona, USA., (February 2016)33\% contribution.D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM., , and . CoRR, (2015)Predicting Memorability via Early Fusion Deep Neural Network., , and . MediaEval, volume 2283 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation., , , and . AAAI, page 4710-4717. AAAI Press, (2018)Constructivist Approaches for Computational Emotions: A Systematic Survey., , and . ToM for Teams, volume 13775 of Lecture Notes in Computer Science, page 30-50. Springer, (2021)Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction., , , , , , and . IJCAI, page 1328-1334. ijcai.org, (2022)Scenario Generalization of Data-driven Imitation Models in Crowd Simulation., , , , and . MIG, page 36:1-36:11. ACM, (2019)Decentralized Probabilistic Learning For Sensor Networks, and . IEEE Global Conference on Signal and Information Processing, (December 2016)50\% contribution..AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM., and . BMC Medical Informatics Decis. Mak., 9 (S-1): S1 (2009)