Takeshi Kurashima

发表

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

Tomoharu Iwata, Ko Fujimura, Takahide Hoshide, 2013, WSDM.

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

Takeshi Kurashima, H. Toda, Shuhei Yamamoto, 2022, IEICE Trans. Inf. Syst..

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains

Toshiyuki TANAKA, Tomoharu Iwata, Takeshi Kurashima, 2022, ArXiv.

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

Hiroyuki Toda, Takeshi Kurashima, Masahiro Kohjima, 2020, IJCAI.

Deep Mixture Point Processes: Spatio-Temporal Event Prediction with External Factor

Hisashi Kashima, Naonori Ueda, Tomoharu Iwata, 2021 .

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains

Toshiyuki TANAKA, Tomoharu Iwata, Takeshi Kurashima, 2022, ArXiv.

Probabilistic Optimal Transport based on Collective Graphical Models pdf

Hiroyuki Toda, Yusuke Tanaka, Takeshi Kurashima, 2020, ArXiv.

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

H. Kashima, Tomoharu Iwata, Takeshi Kurashima, 2022, Machine Learning.

Probabilistic latent network visualization: inferring and embedding diffusion networks

Tomoharu Iwata, Hiroshi Sawada, Takeshi Kurashima, 2014, KDD.

Toward tighter integration of web search with a geographic information system

Katsumi Tanaka, Taro Tezuka, Takeshi Kurashima, 2006, WWW '06.

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

Takeshi Kurashima, Naoki Marumo, Hiroyuki Toda, 2022, Machine Learning.

Price and Time Optimization for Utility-Aware Taxi Dispatching

Takeshi Kurashima, Masahiro Kohjima, Yasunori Akagi, 2021, PRICAI.

Discovering Association Rules on Experiences from Large-Scale Blog Entries

Ko Fujimura, Hidenori Okuda, Takeshi Kurashima, 2009, ECIR.

Mining Experiences from Large-scale Blog Entries

Ko Fujimura, Hidenori Okuda, Takeshi Kurashima, 2008 .

Modeling Interdependent and Periodic Real-World Action Sequences

Jure Leskovec, Tim Althoff, Takeshi Kurashima, 2018, WWW.

Travel route recommendation using geotags in photo sharing sites

Tomoharu Iwata, Go Irie, Ko Fujimura, 2010, CIKM.

Travel route recommendation using geotagged photos

Tomoharu Iwata, Takeshi Kurashima, Ko Fujimura, 2013, Knowledge and Information Systems.

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

Katsumi Tanaka, Taro Tezuka, Takeshi Kurashima, 2005, WISE.

Ranking Entities Using Comparative Relations

Toshio Uchiyama, Katsuji Bessho, Ryoji Kataoka, 2008, DEXA.

Analytically Tractable Models for Decision Making under Present Bias

Takeshi Kurashima, Naoki Marumo, Yasunori Akagi, 2023, AAAI.

Identifying self-changeable actions toward regulating rhythm of daily life

Masami Takahashi, Hiroyuki Toda, Tatsushi Matsubayashi, 2019, UbiComp/ISWC Adjunct.

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

Hiroyuki Toda, Takuya Nishimura, Takeshi Kurashima, 2018, IJCAI.

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs

Tomoharu Iwata, Yusuke Tanaka, Toshiyuki Tanaka, 2019, NeurIPS.

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

Naonori Ueda, Tomoharu Iwata, Hiroyuki Toda, 2019, KDD.

Predicting Traffic Accidents with Event Recorder Data

Hiroyuki Toda, Shuhei Yamamoto, Yusuke Tanaka, 2019, PredictGIS@SIGSPATIAL.

Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities pdf

Tomoharu Iwata, Toshiyuki Tanaka, Hiroyuki Toda, 2018, AAAI.

Mining and Visualizing Local Experiences from Blog Entries

Katsumi Tanaka, Taro Tezuka, Takeshi Kurashima, 2006, DEXA.

Personal History Affects Reference Points: A Case Study of Codeforces

K. Takemura, Tomoharu Iwata, Takeshi Kurashima, 2023, ICWSM.

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

Hisashi Kashima, Tomoharu Iwata, Yusuke Tanaka, 2021, KDD.

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

Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida, 2014, UbiComp.

Travel route recommendation using geotagged photos

Tomoharu Iwata, Go Irie, Ko Fujimura, 2012, Knowledge and Information Systems.

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

Takeshi Kurashima, Hiroyuki Toda, M. Kohjima, 2020, International Joint Conference on Artificial Intelligence.

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

Takeshi Kurashima, Masahiro Kohjima, Masami Takahashi, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Estimating Latent People Flow without Tracking Individuals

Naonori Ueda, Tomoharu Iwata, Hiroyuki Toda, 2018, IJCAI.

Joint Modeling of User's Activity Area and Interests for Local Recommendation

Tomoharu Iwata, Takeshi Kurashima, Takahide Hoshide, 2013 .

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

Maya OKAWA, Yusuke TANAKA, Takeshi KURASHIMA, 2019, IEICE Trans. Inf. Syst..

Meta-Learning for Neural Network-based Temporal Point Processes

Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, 2024, 2401.15846.