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Maya Okawa
Maya Okawa
Verified email at lab.ntt.co.jp
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Cited by
Year
Deep mixture point processes: Spatio-temporal event prediction with rich contextual information
M Okawa, T Iwata, T Kurashima, Y Tanaka, H Toda, N Ueda
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
362019
Spatially aggregated Gaussian processes with multivariate areal outputs
Y Tanaka, T Tanaka, T Iwata, T Kurashima, M Okawa, Y Akagi, H Toda
Advances in Neural Information Processing Systems 32, 2019
182019
Real-time and proactive navigation via spatio-temporal prediction
N Ueda, F Naya, H Shimizu, T Iwata, M Okawa, H Sawada
Adjunct Proceedings of the 2015 ACM International Joint Conference on …, 2015
162015
Refining coarse-grained spatial data using auxiliary spatial data sets with various granularities
Y Tanaka, T Iwata, T Tanaka, T Kurashima, M Okawa, H Toda
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5091-5099, 2019
132019
Online traffic flow prediction using convolved bilinear Poisson regression
M Okawa, H Kim, H Toda
2017 18th IEEE International Conference on Mobile Data Management (MDM), 134-143, 2017
112017
Predicting traffic accidents with event recorder data
Y Takimoto, Y Tanaka, T Kurashima, S Yamamoto, M Okawa, H Toda
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction …, 2019
52019
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks
M Okawa, T Iwata
Proceedings of the 28th ACM SIGKDD International Conference on Knowledge …, 2022
22022
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
M Okawa, T Iwata, Y Tanaka, H Toda, T Kurashima, H Kashima
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
12021
Learning device, prediction device, learning method, prediction method, and program
M Okawa, T Iwata, H Toda, T Kurashima, Y Tanaka
US Patent App. 17/624,564, 2022
2022
Error detection device, error detection method, and error detection program
M Okawa, H Toda
US Patent App. 17/617,994, 2022
2022
Event occurrence time learning device, event occurrence time estimation device, event occurrence time learning method, event occurrence time estimation method, event occurrence …
Y Takimoto, Y Tanaka, T Kurashima, S Yamamoto, M Okawa, H Toda
US Patent App. 17/613,062, 2022
2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
Y Tanaka, T Tanaka, T Iwata, T Kurashima, M Okawa, Y Akagi, H Toda
arXiv preprint arXiv:2206.12141, 2022
2022
Event occurrence time learning device, event occurrence time estimation device, event occurrence time estimation method, event occurrence time learning program, and event …
Y Takimoto, Y Tanaka, T Kurashima, S Yamamoto, M Okawa, H Toda
US Patent App. 17/431,774, 2022
2022
Context-aware spatio-temporal event prediction via convolutional Hawkes processes
M Okawa, T Iwata, Y Tanaka, H Toda, T Kurashima, H Kashima
Machine Learning Journal (ECML-PKDD Journal Track), 2022
2022
Event prediction device, event prediction method, and event prediction program
M Okawa, H Toda
US Patent App. 17/289,696, 2022
2022
Deep Mixture Point Processes
M Okawa, T Iwata, T Kurashima, Y Tanaka, H Toda, N Ueda, H Kashima
Transactions of the Japanese Society for Artificial Intelligence 36 (5), C-L37, 2021
2021
Spatio-temporal event data estimating device, method, and program
M Okawa, H Toda
US Patent App. 17/058,613, 2021
2021
Data prediction device, method, and program
M Okawa, H Toda, T Kurashima
US Patent App. 17/044,799, 2021
2021
Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems
M Okawa, Y Tanaka, T Kurashima, H Toda, T Yamada
IEICE TRANSACTIONS on Information and Systems 102 (9), 1635-1643, 2019
2019
Visualization of Crowd movements at Large-scale Events
HT Maya Okawa, Aki Hayashi, Kim Hideaki, Takuya Nishimura
VIS, https://vimeo.com/182986159, 2016
2016
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Articles 1–20