Takeshi Kurashima

According to our database, Takeshi Kurashima authored at least 43 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Meta-Learning for Neural Network-based Temporal Point Processes.

Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima

CoRR, 2024

Analytically Tractable Models for Decision Making under Present Bias.

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.

Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda

Mach. Learn., January, 2023

Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data.

Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Personal History Affects Reference Points: A Case Study of Codeforces.

Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022

Context-aware spatio-temporal event prediction via convolutional Hawkes processes.

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima

Mach. Learn., 2022

Classifying Near-Miss Traffic Incidents through Video, Sensor, and Object Features.

Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda

IEICE Trans. Inf. Syst., 2022

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

CoRR, 2022

2021

Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations.

Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka

Artif. Intell., 2021

Price and Time Optimization for Utility-Aware Taxi Dispatching.

Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.

Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes.

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Effects of Personal Characteristics on Temporal Response Patterns in Ecological Momentary Assessments.

Tomu Tominaga, Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021

Effects of Intervening Backwards from Goals to Improve Sleep Habits.

Masami Takahashi, Masahiro Kohjima, Ryo Hashimoto, Asuka Miyake, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization.

Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Probabilistic Optimal Transport based on Collective Graphical Models.

Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda

CoRR, 2020

Identifying Near-Miss Traffic Incidents in Event Recorder Data.

Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data.

Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs.

Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm.

Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems.

Maya Okawa, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Tomohiro Yamada

IEICE Trans. Inf. Syst., 2019

Coordinated Traffic Signal Control Via Bayesian Optimization for Hierarchical Conditional Spaces.

Hidetaka Ito, Kyota Tsutsumida, Tatsushi Matsubayashi, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the 2019 Winter Simulation Conference, 2019

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information.

Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Identifying self-changeable actions toward regulating rhythm of daily life.

Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Predicting Traffic Accidents with Event Recorder Data.

Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, 2019

Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities.

Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Modeling Interdependent and Periodic Real-World Action Sequences.

Takeshi Kurashima, Tim Althoff, Jure Leskovec

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Estimating Latent People Flow without Tracking Individuals.

Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data.

Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016

Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements.

Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2014

A Study on Experience Mining from Social Media Data.

Takeshi Kurashima

PhD thesis, 2014

Probabilistic latent network visualization: inferring and embedding diffusion networks.

Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Probabilistic identification of visited point-of-interest for personalized automatic check-in.

Kyosuke Nishida, Hiroyuki Toda, Takeshi Kurashima, Yoshihiko Suhara

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013

Travel route recommendation using geotagged photos.

Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura

Knowl. Inf. Syst., 2013

Geo topic model: joint modeling of user's activity area and interests for location recommendation.

Takeshi Kurashima, Tomoharu Iwata, Takahide Hoshide, Noriko Takaya, Ko Fujimura

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

A Probabilistic Behavior Model for Discovering Unrecognized Knowledge.

Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2010

Travel route recommendation using geotags in photo sharing sites.

Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Discovering Association Rules on Experiences from Large-Scale Blog Entries.

Takeshi Kurashima, Ko Fujimura, Hidenori Okuda

Proceedings of the Advances in Information Retrieval, 2009

2008

Ranking Entities Using Comparative Relations.

Takeshi Kurashima, Katsuji Bessho, Hiroyuki Toda, Toshio Uchiyama, Ryoji Kataoka

Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2006

Toward tighter integration of web search with a geographic information system.

Taro Tezuka, Takeshi Kurashima, Katsumi Tanaka

Proceedings of the 15th international conference on World Wide Web, 2006

Mining and Visualizing Local Experiences from Blog Entries.

Takeshi Kurashima, Taro Tezuka, Katsumi Tanaka

Proceedings of the Database and Expert Systems Applications, 17th International Conference, 2006

2005

Blog Map of Experiences: Extracting and Geographically Mapping Visitor Experiences from Urban Blogs.

Takeshi Kurashima, Taro Tezuka, Katsumi Tanaka

Proceedings of the Web Information Systems Engineering, 2005