Takeshi Kurashima

Orcid: 0000-0002-1641-4799

According to our database1, Takeshi Kurashima authored at least 45 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Continuous-time Tractable Model for Present-biased Agents.
CoRR, 2024

Meta-Learning for Neural Network-based Temporal Point Processes.
CoRR, 2024

Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Analytically Tractable Models for Decision Making under Present Bias.
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.
Mach. Learn., January, 2023

Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Personal History Affects Reference Points: A Case Study of Codeforces.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022
Context-aware spatio-temporal event prediction via convolutional Hawkes processes.
Mach. Learn., 2022

Classifying Near-Miss Traffic Incidents through Video, Sensor, and Object Features.
IEICE Trans. Inf. Syst., 2022

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains.
CoRR, 2022

2021
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations.
Artif. Intell., 2021

Price and Time Optimization for Utility-Aware Taxi Dispatching.
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.
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.
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.
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.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Probabilistic Optimal Transport based on Collective Graphical Models.
CoRR, 2020

Identifying Near-Miss Traffic Incidents in Event Recorder Data.
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.
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.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems.
IEICE Trans. Inf. Syst., 2019

Coordinated Traffic Signal Control Via Bayesian Optimization for Hierarchical Conditional Spaces.
Proceedings of the 2019 Winter Simulation Conference, 2019

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.
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.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Identifying self-changeable actions toward regulating rhythm of daily life.
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.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Modeling Interdependent and Periodic Real-World Action Sequences.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Estimating Latent People Flow without Tracking Individuals.
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.
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.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2014
A Study on Experience Mining from Social Media Data.
PhD thesis, 2014

Probabilistic latent network visualization: inferring and embedding diffusion networks.
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.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013
Travel route recommendation using geotagged photos.
Knowl. Inf. Syst., 2013

Geo topic model: joint modeling of user's activity area and interests for location recommendation.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

A Probabilistic Behavior Model for Discovering Unrecognized Knowledge.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2010
Travel route recommendation using geotags in photo sharing sites.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Discovering Association Rules on Experiences from Large-Scale Blog Entries.
Proceedings of the Advances in Information Retrieval, 2009

2008
Ranking Entities Using Comparative Relations.
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2006
Toward tighter integration of web search with a geographic information system.
Proceedings of the 15th international conference on World Wide Web, 2006

Mining and Visualizing Local Experiences from Blog Entries.
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.
Proceedings of the Web Information Systems Engineering, 2005


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