| 2026 | AAAI | Delta Matters: An Analytically Tractable Model for beta-delta Discounting Agents. | Yasunori Akagi, Takeshi Kurashima |
| 2026 | CHI | Measuring Propensity for Dementia-Related Stigma in Large Language Models. | Naoki Hagiyama, Yoshiaki Takimoto, Takeshi Kurashima |
| 2025 | AAAI | A Continuous-time Tractable Model for Present-biased Agents. | Yasunori Akagi, Hideaki Kim, Takeshi Kurashima |
| 2025 | CHI | The Role of Initial Acceptance Attitudes Toward AI Decisions in Algorithmic Recourse. | Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima |
| 2025 | PAKDD | Estimating Impact of Behavior Change Messages Using Large Language Models. | Takuya Okada, Yoshiaki Takimoto, Takeshi Kurashima, Hiroyuki Toda |
| 2024 | AAAI | Analytically Tractable Models for Decision Making under Present Bias. | Yasunori Akagi, Naoki Marumo, Takeshi Kurashima |
| 2024 | IJCAI | Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective. | Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima |
| 2023 | ICWSM | Personal History Affects Reference Points: A Case Study of Codeforces. | Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura |
| 2023 | PAKDD | Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data. | Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda |
| 2021 | AAAI | 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 |
| 2021 | Interact | Effects of Personal Characteristics on Temporal Response Patterns in Ecological Momentary Assessments. | Tomu Tominaga, Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda |
| 2021 | KDD | Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. | Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima |
| 2021 | PRICAI | Price and Time Optimization for Utility-Aware Taxi Dispatching. | Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda |
| 2020 | AAAI | 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 |
| 2020 | IJCAI | Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. | Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda |
| 2020 | ICPR | Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs. | Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda |
| 2020 | PAKDD | Identifying Near-Miss Traffic Incidents in Event Recorder Data. | Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda |
| 2019 | AAAI | 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 |
| 2019 | KDD | Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. | Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda |
| 2019 | WSC | Coordinated Traffic Signal Control Via Bayesian Optimization for Hierarchical Conditional Spaces. | Hidetaka Ito, Kyota Tsutsumida, Tatsushi Matsubayashi, Takeshi Kurashima, Hiroyuki Toda |
| 2018 | IJCAI | A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data. | Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda |
| 2018 | IJCAI | Estimating Latent People Flow without Tracking Individuals. | Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda |
| 2018 | WWW | Modeling Interdependent and Periodic Real-World Action Sequences. | Takeshi Kurashima, Tim Althoff, Jure Leskovec |
| 2016 | WSDM | Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements. | Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada |
| 2014 | KDD | Probabilistic latent network visualization: inferring and embedding diffusion networks. | Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada |
| 2013 | ICDM | A Probabilistic Behavior Model for Discovering Unrecognized Knowledge. | Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada |
| 2013 | WSDM | 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 |
| 2010 | CIKM | Travel route recommendation using geotags in photo sharing sites. | Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura |
| 2009 | ECIR | Discovering Association Rules on Experiences from Large-Scale Blog Entries. | Takeshi Kurashima, Ko Fujimura, Hidenori Okuda |
| 2008 | DEXA | Ranking Entities Using Comparative Relations. | Takeshi Kurashima, Katsuji Bessho, Hiroyuki Toda, Toshio Uchiyama, Ryoji Kataoka |
| 2006 | DEXA | Mining and Visualizing Local Experiences from Blog Entries. | Takeshi Kurashima, Taro Tezuka, Katsumi Tanaka |
| 2006 | WWW | Toward tighter integration of web search with a geographic information system. | Taro Tezuka, Takeshi Kurashima, Katsumi Tanaka |
| 2005 | WISE | Blog Map of Experiences: Extracting and Geographically Mapping Visitor Experiences from Urban Blogs. | Takeshi Kurashima, Taro Tezuka, Katsumi Tanaka |