Blog Map of Experiences: Extracting and Geographically Mapping Visitor Experiences from Urban Blogs. - Takeshi Kurashima; Taro Tezuka; Katsumi Tanaka (WISE, 2005)

Mining and Visualizing Local Experiences from Blog Entries. - Takeshi Kurashima; Taro Tezuka; Katsumi Tanaka (DEXA, 2006)

Toward tighter integration of web search with a geographic information system. - Taro Tezuka; Takeshi Kurashima; Katsumi Tanaka (WWW, 2006)

Ranking Entities Using Comparative Relations. - Takeshi Kurashima; Katsuji Bessho; Hiroyuki Toda; Toshio Uchiyama; Ryoji Kataoka (DEXA, 2008)

Discovering Association Rules on Experiences from Large-Scale Blog Entries. - Takeshi Kurashima; Ko Fujimura; Hidenori Okuda (ECIR, 2009)

Travel route recommendation using geotags in photo sharing sites. - Takeshi Kurashima; Tomoharu Iwata; Go Irie; Ko Fujimura (CIKM, 2010)

A Probabilistic Behavior Model for Discovering Unrecognized Knowledge. - Takeshi Kurashima; Tomoharu Iwata; Noriko Takaya; Hiroshi Sawada (ICDM, 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 (WSDM, 2013)

Travel route recommendation using geotagged photos. - Takeshi Kurashima; Tomoharu Iwata; Go Irie; Ko Fujimura (Knowl. Inf. Syst., 2013)

Probabilistic identification of visited point-of-interest for personalized automatic check-in. - Kyosuke Nishida; Hiroyuki Toda; Takeshi Kurashima; Yoshihiko Suhara (UbiComp, 2014)

Probabilistic latent network visualization: inferring and embedding diffusion networks. - Takeshi Kurashima; Tomoharu Iwata; Noriko Takaya; Hiroshi Sawada (KDD, 2014)

A Study on Experience Mining from Social Media Data. - Takeshi Kurashima (2014)

Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements. - Yusuke Tanaka 002; Takeshi Kurashima; Yasuhiro Fujiwara; Tomoharu Iwata; Hiroshi Sawada (WSDM, 2016)

A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data. - Yasunori Akagi; Takuya Nishimura 002; Takeshi Kurashima; Hiroyuki Toda (IJCAI, 2018)

Estimating Latent People Flow without Tracking Individuals. - Yusuke Tanaka 002; Tomoharu Iwata; Takeshi Kurashima; Hiroyuki Toda; Naonori Ueda (IJCAI, 2018)

Modeling Interdependent and Periodic Real-World Action Sequences. - Takeshi Kurashima; Tim Althoff; Jure Leskovec (WWW, 2018)

Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. - Yusuke Tanaka 002; Tomoharu Iwata; Toshiyuki Tanaka; Takeshi Kurashima; Maya Okawa; Hiroyuki Toda (AAAI, 2019)

Predicting Traffic Accidents with Event Recorder Data. - Yoshiaki Takimoto; Yusuke Tanaka 002; Takeshi Kurashima; Shuhei Yamamoto; Maya Okawa; Hiroyuki Toda (PredictGIS@SIGSPATIAL, 2019)

Identifying self-changeable actions toward regulating rhythm of daily life. - Masami Takahashi; Masahiro Kohjima; Takeshi Kurashima; Tatsushi Matsubayashi; Hiroyuki Toda (UbiComp/ISWC Adjunct, 2019)

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. - Maya Okawa; Tomoharu Iwata; Takeshi Kurashima; Yusuke Tanaka 002; Hiroyuki Toda; Naonori Ueda (KDD, 2019)

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. - Yusuke Tanaka 002; Toshiyuki Tanaka; Tomoharu Iwata; Takeshi Kurashima; Maya Okawa; Yasunori Akagi; Hiroyuki Toda (NeurIPS, 2019)

Coordinated Traffic Signal Control Via Bayesian Optimization for Hierarchical Conditional Spaces. - Hidetaka Ito; Kyota Tsutsumida; Tatsushi Matsubayashi; Takeshi Kurashima; Hiroyuki Toda (WSC, 2019)

Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems. - Maya Okawa; Yusuke Tanaka 002; Takeshi Kurashima; Hiroyuki Toda; Tomohiro Yamada (IEICE Trans. Inf. Syst., 2019)

Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm. - Yasunori Akagi; Takuya Nishimura 002; Yusuke Tanaka 002; Takeshi Kurashima; Hiroyuki Toda (AAAI, 2020)

Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs. - Masami Takahashi; Masahiro Kohjima; Takeshi Kurashima; Hiroyuki Toda (ICPR, 2020)

Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. - Masahiro Kohjima; Takeshi Kurashima; Hiroyuki Toda (IJCAI, 2020)

Identifying Near-Miss Traffic Incidents in Event Recorder Data. - Shuhei Yamamoto; Takeshi Kurashima; Hiroyuki Toda (PAKDD (2), 2020)

Probabilistic Optimal Transport based on Collective Graphical Models. - Yasunori Akagi; Yusuke Tanaka 002; Tomoharu Iwata; Takeshi Kurashima; Hiroyuki Toda (CoRR, 2020)

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 (AAAI, 2021)

Effects of Intervening Backwards from Goals to Improve Sleep Habits. - Masami Takahashi; Masahiro Kohjima; Ryo Hashimoto; Asuka Miyake; Takeshi Kurashima; Hiroyuki Toda (UbiComp/ISWC Adjunct, 2021)

Effects of Personal Characteristics on Temporal Response Patterns in Ecological Momentary Assessments. - Tomu Tominaga; Shuhei Yamamoto; Takeshi Kurashima; Hiroyuki Toda (INTERACT (5), 2021)

Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. - Maya Okawa; Tomoharu Iwata; Yusuke Tanaka 002; Hiroyuki Toda; Takeshi Kurashima; Hisashi Kashima (KDD, 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 (NeurIPS, 2021)

Price and Time Optimization for Utility-Aware Taxi Dispatching. - Yuya Hikima; Masahiro Kohjima; Yasunori Akagi; Takeshi Kurashima; Hiroyuki Toda (PRICAI (1), 2021)

Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations. - Yusuke Tanaka 002; Tomoharu Iwata; Takeshi Kurashima; Hiroyuki Toda; Naonori Ueda; Toshiyuki Tanaka (Artif. Intell., 2021)

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains. - Yusuke Tanaka 002; Toshiyuki Tanaka; Tomoharu Iwata; Takeshi Kurashima; Maya Okawa; Yasunori Akagi; Hiroyuki Toda (CoRR, 2022)

Classifying Near-Miss Traffic Incidents through Video, Sensor, and Object Features. - Shuhei Yamamoto; Takeshi Kurashima; Hiroyuki Toda (IEICE Trans. Inf. Syst., 2022)

Context-aware spatio-temporal event prediction via convolutional Hawkes processes. - Maya Okawa; Tomoharu Iwata; Yusuke Tanaka 002; Takeshi Kurashima; Hiroyuki Toda; Hisashi Kashima (Mach. Learn., 2022)

Personal History Affects Reference Points: A Case Study of Codeforces. - Takeshi Kurashima; Tomoharu Iwata; Tomu Tominaga; Shuhei Yamamoto; Hiroyuki Toda; Kazuhisa Takemura (ICWSM, 2023)

Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data. - Masahiro Kohjima; Takeshi Kurashima; Hiroyuki Toda (PAKDD (2), 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., 2023)

Analytically Tractable Models for Decision Making under Present Bias. - Yasunori Akagi; Naoki Marumo; Takeshi Kurashima (AAAI, 2024)

Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective. - Tomu Tominaga; Naomi Yamashita; Takeshi Kurashima (IJCAI, 2024)

Meta-Learning for Neural Network-based Temporal Point Processes. - Yoshiaki Takimoto; Yusuke Tanaka 002; Tomoharu Iwata; Maya Okawa; Hideaki Kim; Hiroyuki Toda; Takeshi Kurashima (CoRR, 2024)

A Continuous-time Tractable Model for Present-biased Agents. - Yasunori Akagi; Hideaki Kim; Takeshi Kurashima (AAAI, 2025)

The Role of Initial Acceptance Attitudes Toward AI Decisions in Algorithmic Recourse. - Tomu Tominaga; Naomi Yamashita; Takeshi Kurashima (CHI, 2025)

Estimating Impact of Behavior Change Messages Using Large Language Models. - Takuya Okada; Yoshiaki Takimoto; Takeshi Kurashima; Hiroyuki Toda (PAKDD (7), 2025)