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Takeshi Kurashima
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2020 – today
- 2024
- [c33]Yasunori Akagi, Naoki Marumo
, Takeshi Kurashima:
Analytically Tractable Models for Decision Making under Present Bias. AAAI 2024: 9441-9450 - [i11]Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima:
Meta-Learning for Neural Network-based Temporal Point Processes. CoRR abs/2401.15846 (2024) - [i10]Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima:
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective. CoRR abs/2405.14264 (2024) - 2023
- [j6]Yasunori Akagi
, Naoki Marumo
, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda:
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm. Mach. Learn. 112(1): 99-129 (2023) - [c32]Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura:
Personal History Affects Reference Points: A Case Study of Codeforces. ICWSM 2023: 507-518 - [c31]Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data. PAKDD (2) 2023: 297-308 - [i9]Yasunori Akagi, Naoki Marumo, Takeshi Kurashima:
Analytically Tractable Models for Decision Making under Present Bias. CoRR abs/2302.08132 (2023) - 2022
- [j5]Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda:
Classifying Near-Miss Traffic Incidents through Video, Sensor, and Object Features. IEICE Trans. Inf. Syst. 105-D(2): 377-386 (2022) - [j4]Maya Okawa
, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima:
Context-aware spatio-temporal event prediction via convolutional Hawkes processes. Mach. Learn. 111(8): 2929-2950 (2022) - [i8]Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains. CoRR abs/2206.12141 (2022) - 2021
- [j3]Yusuke Tanaka
, Tomoharu Iwata, Takeshi Kurashima
, Hiroyuki Toda
, Naonori Ueda, Toshiyuki Tanaka
:
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations. Artif. Intell. 292: 103430 (2021) - [c30]Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. AAAI 2021: 3796-3805 - [c29]Masami Takahashi, Masahiro Kohjima, Ryo Hashimoto, Asuka Miyake, Takeshi Kurashima, Hiroyuki Toda:
Effects of Intervening Backwards from Goals to Improve Sleep Habits. UbiComp/ISWC Adjunct 2021: 74-75 - [c28]Tomu Tominaga
, Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda:
Effects of Personal Characteristics on Temporal Response Patterns in Ecological Momentary Assessments. INTERACT (5) 2021: 3-22 - [c27]Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima:
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. KDD 2021: 1276-1286 - [c26]Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda:
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. NeurIPS 2021: 25812-25823 - [c25]Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda:
Price and Time Optimization for Utility-Aware Taxi Dispatching. PRICAI (1) 2021: 370-381 - [i7]Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda:
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. CoRR abs/2102.09191 (2021) - [i6]Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima:
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. CoRR abs/2105.11152 (2021) - 2020
- [c24]Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda:
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm. AAAI 2020: 3163-3170 - [c23]Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs. ICPR 2020: 4865-4872 - [c22]Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. IJCAI 2020: 2412-2419 - [c21]Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda:
Identifying Near-Miss Traffic Incidents in Event Recorder Data. PAKDD (2) 2020: 717-728 - [i5]Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda:
Probabilistic Optimal Transport based on Collective Graphical Models. CoRR abs/2006.08866 (2020)
2010 – 2019
- 2019
- [j2]Maya Okawa, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Tomohiro Yamada:
Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems. IEICE Trans. Inf. Syst. 102-D(9): 1635-1643 (2019) - [c20]Yusuke Tanaka
, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda:
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. AAAI 2019: 5091-5099 - [c19]Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda:
Predicting Traffic Accidents with Event Recorder Data. PredictGIS@SIGSPATIAL 2019: 11-14 - [c18]Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda:
Identifying self-changeable actions toward regulating rhythm of daily life. UbiComp/ISWC Adjunct 2019: 218-221 - [c17]Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka
, Hiroyuki Toda, Naonori Ueda:
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. KDD 2019: 373-383 - [c16]Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. NeurIPS 2019: 3000-3010 - [c15]Hidetaka Ito, Kyota Tsutsumida, Tatsushi Matsubayashi, Takeshi Kurashima, Hiroyuki Toda:
Coordinated Traffic Signal Control Via Bayesian Optimization for Hierarchical Conditional Spaces. WSC 2019: 3645-3656 - [i4]Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda:
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. CoRR abs/1906.08952 (2019) - [i3]Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. CoRR abs/1907.08350 (2019) - 2018
- [c14]Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda:
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data. IJCAI 2018: 3293-3300 - [c13]Yusuke Tanaka
, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda:
Estimating Latent People Flow without Tracking Individuals. IJCAI 2018: 3556-3563 - [c12]Takeshi Kurashima, Tim Althoff, Jure Leskovec:
Modeling Interdependent and Periodic Real-World Action Sequences. WWW 2018: 803-812 - [i2]Takeshi Kurashima, Tim Althoff, Jure Leskovec:
Modeling Interdependent and Periodic Real-World Action Sequences. CoRR abs/1802.09148 (2018) - [i1]Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda:
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities. CoRR abs/1809.07952 (2018) - 2016
- [c11]Yusuke Tanaka
, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada:
Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements. WSDM 2016: 543-552 - 2014
- [b1]Takeshi Kurashima:
A Study on Experience Mining from Social Media Data. Kyoto University, Japan, 2014 - [c10]Kyosuke Nishida, Hiroyuki Toda, Takeshi Kurashima, Yoshihiko Suhara:
Probabilistic identification of visited point-of-interest for personalized automatic check-in. UbiComp 2014: 631-642 - [c9]Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
Probabilistic latent network visualization: inferring and embedding diffusion networks. KDD 2014: 1236-1245 - 2013
- [j1]Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura:
Travel route recommendation using geotagged photos. Knowl. Inf. Syst. 37(1): 37-60 (2013) - [c8]Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
A Probabilistic Behavior Model for Discovering Unrecognized Knowledge. ICDM 2013: 1097-1102 - [c7]Takeshi Kurashima, Tomoharu Iwata, Takahide Hoshide, Noriko Takaya, Ko Fujimura:
Geo topic model: joint modeling of user's activity area and interests for location recommendation. WSDM 2013: 375-384 - 2010
- [c6]Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura:
Travel route recommendation using geotags in photo sharing sites. CIKM 2010: 579-588
2000 – 2009
- 2009
- [c5]Takeshi Kurashima, Ko Fujimura, Hidenori Okuda:
Discovering Association Rules on Experiences from Large-Scale Blog Entries. ECIR 2009: 546-553 - 2008
- [c4]Takeshi Kurashima, Katsuji Bessho, Hiroyuki Toda, Toshio Uchiyama, Ryoji Kataoka:
Ranking Entities Using Comparative Relations. DEXA 2008: 124-133 - 2006
- [c3]Takeshi Kurashima, Taro Tezuka, Katsumi Tanaka:
Mining and Visualizing Local Experiences from Blog Entries. DEXA 2006: 213-222 - [c2]Taro Tezuka, Takeshi Kurashima, Katsumi Tanaka:
Toward tighter integration of web search with a geographic information system. WWW 2006: 277-286 - 2005
- [c1]Takeshi Kurashima, Taro Tezuka, Katsumi Tanaka:
Blog Map of Experiences: Extracting and Geographically Mapping Visitor Experiences from Urban Blogs. WISE 2005: 496-503
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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