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2020 – today
- 2024
[j7]Akihisa Okada
, Keisuke Otaki, Tadayoshi Matsumori, Hiroaki Yoshida, Kotaro Terada, Nozomu Togawa:
QUBO Formulation Using Sequence Pair With Search Space Restriction for Rectangle Packing Problem. IEEE Access 12: 156627-156638 (2024)- [j6]Ayano Okoso, Keisuke Otaki, Yoshinao Ishii, Satoshi Koide:
A Case Study on Recommender Systems in Online Conferences: Behavioral Analysis through A/B Testing. IEICE Trans. Inf. Syst. 107(5): 650-658 (2024) - [c27]Ayano Okoso, Keisuke Otaki, Satoshi Koide, Yukino Baba:
Toward Tone-Aware Explanations in Recommender Systems. UMAP 2024: 261-266 - [i2]Ayano Okoso, Keisuke Otaki, Satoshi Koide, Yukino Baba:
Impact of Tone-Aware Explanations in Recommender Systems. CoRR abs/2405.05061 (2024) - 2023
- [j5]Keisuke Otaki, Tomosuke Maeda, Takayoshi Yoshimura, Hiroyuki Sakai:
Roaming Navigation: Diverse Constrained Paths Using Heuristic Search. IEEE Access 11: 75617-75627 (2023) - [j4]Keisuke Otaki, Akihisa Okada, Hiroaki Yoshida:
Experimental study on the information disclosure problem: Branch-and-bound and QUBO solver. Frontiers Appl. Math. Stat. 9 (2023) - [c26]Keisuke Otaki, Ai Nakada, Tomosuke Maeda, Takayoshi Yoshimura, Hiroyuki Sakai:
Roaming Navigation for Pedestrians (Demo Paper). SIGSPATIAL/GIS 2023: 74:1-74:4 - [c25]Keisuke Otaki, Yukino Baba:
Extended Travel Itinerary Datasets Towards Reproducibility. RecTour@RecSys 2023: 18-28 - 2022
- [c24]Keisuke Kawano, Satoshi Koide, Keisuke Otaki:
Partial Wasserstein Covering. AAAI 2022: 7115-7123 - [c23]Keisuke Otaki:
Planning with Explanations for Finding Desired Meeting Points on Graphs. AAAI 2022: 10319-10326 - [c22]Ayano Okoso, Keisuke Otaki, Satoshi Koide, Tomoki Nishi:
High Density Automated Valet Parking via Multi-agent Path Finding. ITSC 2022: 2146-2153 - [c21]Keisuke Otaki, Tomoki Nishi, Takahiro Shiga, Toshiki Kashiwakura:
Optimization-based Predictive Approach for On-Demand Transportation. PRICAI (3) 2022: 466-477 - [c20]Keisuke Otaki, Yukino Baba:
Maximal Likelihood Itinerary Planning with User Interaction Data. RecTour@RecSys 2022: 37-46 - 2021
- [c19]Ayano Okoso, Bunyo Okumura, Keisuke Otaki, Tomoki Nishi:
Network-Flow-Problem-Based Approach to Multi-Agent Path Finding for Connected Autonomous Vehicles. ITSC 2021: 1946-1953 - [i1]Keisuke Kawano, Satoshi Koide, Keisuke Otaki:
Partial Wasserstein Covering. CoRR abs/2106.00886 (2021) - 2020
- [c18]Tomoki Nishi, Keisuke Otaki, Ayano Okoso, Alex Fukunaga:
Cooperative Routing Problem between Customers and Vehicles for On-demand Mobile Facility Services. ITSC 2020: 1-6 - [c17]Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi:
Distance-Based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents. PRIMA 2020: 116-132 - [c16]Ayano Okoso, Keisuke Otaki, Tomoki Nishi:
Multi-Agent Path Finding with Destination Choice. PRIMA 2020: 368-376 - [c15]Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi:
Cooperative Path Planning for Heterogeneous Agents. SOCS 2020: 133-134
2010 – 2019
- 2019
- [c14]Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi:
Cooperative Routing with Heterogeneous Vehicles. AAMAS 2019: 2150-2152 - [c13]Keisuke Otaki, Satoshi Koide, Keiichiro Hayakawa, Ayano Okoso, Tomoki Nishi:
Multi-agent Path Planning with Heterogeneous Cooperation. ICTAI 2019: 93-100 - [c12]Ayano Okoso, Keisuke Otaki, Tomoki Nishi:
Multi-Agent Path Finding with Priority for Cooperative Automated Valet Parking. ITSC 2019: 2135-2140 - 2018
- [c11]Tomoki Nishi, Keisuke Otaki, Keiichiro Hayakawa, Takayoshi Yoshimura:
Traffic Signal Control Based on Reinforcement Learning with Graph Convolutional Neural Nets. ITSC 2018: 877-883 - 2017
- [j3]Seishi Ouchi, Tomohiko Okayama, Keisuke Otaki, Ryo Yoshinaka, Akihiro Yamamoto:
Learning concepts and their unions from positive data with refinement operators. Ann. Math. Artif. Intell. 79(1-3): 181-203 (2017) - 2015
- [c10]Keisuke Otaki, Akihiro Yamamoto:
Periodical Skeletonization for Partially Periodic Pattern Mining. Discovery Science 2015: 186-200 - [c9]Keisuke Otaki, Akihiro Yamamoto:
Edit Operations on Lattices for MDL-based Pattern Summarization. FCA&A@ICFCA 2015: 17-32 - 2014
- [c8]Keisuke Otaki, Madori Ikeda, Akihiro Yamamoto:
Pattern Structures for Understanding Episode Patterns. CLA 2014: 47-58 - [c7]Madori Ikeda, Keisuke Otaki, Akihiro Yamamoto:
Formal Concept Analysis for Process Enhancement Based on a Pair of Perspectives. CLA 2014: 59-70 - [c6]Seiichi Kondo, Keisuke Otaki, Madori Ikeda, Akihiro Yamamoto:
Fast Computation of the Tree Edit Distance between Unordered Trees Using IP Solvers. Discovery Science 2014: 156-167 - [c5]Tomohiko Okayama, Ryo Yoshinaka, Keisuke Otaki, Akihiro Yamamoto:
A Sufficient Condition for Learning Unbounded Unions of Languages with Refinement Operators. ISAIM 2014 - [c4]Mahito Sugiyama, Keisuke Otaki:
Detecting Anomalous Subgraphs on Attributed Graphs via Parametric Flow. JSAI-isAI Workshops 2014: 340-355 - 2013
- [c3]Tamás Horváth, Keisuke Otaki, Jan Ramon:
Efficient Frequent Connected Induced Subgraph Mining in Graphs of Bounded Tree-Width. ECML/PKDD (1) 2013: 622-637 - 2012
- [j2]Keisuke Otaki, Mahito Sugiyama, Akihiro Yamamoto:
Privacy Preserving Using Dummy Data for Set Operations in Itemset Mining Implemented with ZDDs. IEICE Trans. Inf. Syst. 95-D(12): 3017-3025 (2012) - [j1]Mahito Sugiyama, Kentaro Imajo, Keisuke Otaki, Akihiro Yamamoto:
Semi-Supervised Ligand Finding Using Formal Concept Analysis. Inf. Media Technol. 7(3): 928-937 (2012) - [c2]Keisuke Otaki, Akihiro Yamamoto:
Estimation of Generating Processes of Strings Represented with Patterns and Refinements. ICGI 2012: 177-182 - 2011
- [c1]Mahito Sugiyama, Kentaro Imajo, Keisuke Otaki, Akihiro Yamamoto:
Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis. ILP (Late Breaking Papers) 2011: 53-60
Coauthor Index
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