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Masahiro Sato
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2020 – today
- 2024
- [j8]Hajime Shimakawa
, Akiko Kumada, Masahiro Sato
:
Prevention of Leakage in Machine Learning Prediction for Polymer Composite Properties. J. Chem. Inf. Model. 64(9): 3621-3629 (2024) - 2023
- [j7]Satoru Kurokawa, Michitaka Ameya, Yui Otagaki, Hiroshi Murata, Masatoshi Onizawa, Masahiro Sato, Masanobu Hirose:
Antennas Measurement for Millimeter Wave 5G Wireless Applications Using Radio Over Fiber Technologies. IEICE Trans. Commun. 106(12): 1313-1321 (2023) - [j6]Masahiro Sato, Michihiro Yoshida
, Takashi Kusaka
, Yusuke Suzuki, Takayuki Tanaka
:
Musculoskeletal Model Capable of Reproducing Lumbar Extension Motion Strategy Based on the Equilibrium Point Hypothesis. J. Robotics Mechatronics 35(3): 762-770 (2023) - [j5]Masahiro Sato, Jacques Garrigue
:
An intuitionistic set-theoretical model of fully dependent CC. Math. Struct. Comput. Sci. 33(1): 1-32 (2023) - [c27]Masahiro Sato, Takayuki Tanaka, Michihiro Yoshida, Yusuke Suzuki:
Lumbar mechanical model capable of reproducing joint stiffness changes during lumbar extension motion. SII 2023: 1-6 - [c26]Yamato Hara, Masahiro Sato, Hajime Nobuhara:
Properly Scoring Users' Mainstreamness to Evaluate Recommendation Bias. SMC 2023: 3900-3906 - 2022
- [c25]Shunsuke Nakamori, Hiroto Yokohashi, Yui Otagaki, Sayaka Matsukawa, Masahiro Sato, Masatoshi Onizawa, Satoru Kurokawa, Hiroshi Murata:
Antenna-Coupled-Electrode Electro-Optic Modulator for Converting 5G-Band Wireless Signal with Two Orthogonal-Polarization Field Components. OECC/PSC 2022: 1-3 - 2021
- [c24]Masahiro Sato
, Janmajay Singh
, Sho Takemori
, Qian Zhang:
Causality-Aware Neighborhood Methods for Recommender Systems. ECIR (1) 2021: 603-618 - [c23]Kentaro Yoshida
, Hiroshi Suzuki, Hironobu Abe, Akira Ono, Hiroto Kawaguchi, Masahiro Sato, Yota Komoriya, Kazunobu Ohkuri:
Pneumatic Concave Deformable Device and Finger Deformation-Based Evaluation for Hardness Perception. WHC 2021: 668-673 - [c22]Jumpei Fujita, Masahiro Sato, Hajime Nobuhara:
Model for Cooking Recipe Generation using Reinforcement Learning. ICDE Workshops 2021: 1-4 - [c21]Sho Takemori, Masahiro Sato:
Approximation Theory Based Methods for RKHS Bandits. ICML 2021: 10076-10085 - [c20]Masahiro Sato:
Online Evaluation Methods for the Causal Effect of Recommendations. RecSys 2021: 96-101 - [c19]Qian Zhang, Masahiro Sato, Sho Takemori, Tomoko Ohkuma:
Incorporating multi-level positive feedback to session-based nearest-neighbor. SAC 2021: 1371-1374 - [c18]Raghava Krishnan, Janmajay Singh, Masahiro Sato, Qian Zhang, Tomoko Ohkuma:
Incorporating Wide Context Information for Deep Knowledge Tracing using Attentional Bi-interaction. L2D@WSDM 2021: 1-13 - [i8]Masahiro Sato:
Online Evaluation Methods for the Causal Effect of Recommendations. CoRR abs/2107.06630 (2021) - 2020
- [j4]Masahiro Sato, Masayoshi Toda
:
Adaptive Algorithms of Tuning and Switching Kalman and ℋ∞ Filters and Their Application to Estimation of Ship Oscillation With Time-Varying Frequencies. IEEE Trans. Ind. Electron. 67(1): 501-511 (2020) - [c17]Masahiro Sato
, Sho Takemori, Janmajay Singh
, Tomoko Ohkuma:
Unbiased Learning for the Causal Effect of Recommendation. RecSys 2020: 378-387 - [c16]Masahiro Sato, Janmajay Singh
, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma:
Modeling user exposure with recommendation influence. SAC 2020: 1461-1464 - [c15]Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma:
Submodular Bandit Problem Under Multiple Constraints. UAI 2020: 191-200 - [c14]Hiroshi Suzuki, Akihito Nishiike, Kentaro Yoshida
, Masahiro Sato, Yota Komoriya, Takayuki Ezaki:
Haptic Reproduction by Pneumatic Control Method Based on Load-Displacement Profile. UIST (Adjunct Volume) 2020: 114-116 - [i7]Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh
, Tomoko Ohkuma:
Submodular Bandit Problem Under Multiple Constraints. CoRR abs/2006.00661 (2020) - [i6]Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma:
Unbiased Learning for the Causal Effect of Recommendation. CoRR abs/2008.04563 (2020) - [i5]Sho Takemori, Masahiro Sato:
Approximation Methods for Kernelized Bandits. CoRR abs/2010.12167 (2020) - [i4]Masahiro Sato, Jacques Garrigue:
An Intuitionistic Set-theoretical Model of Fully Dependent CCω. CoRR abs/2010.12504 (2020) - [i3]Masahiro Sato, Sho Takemori, Janmajay Singh, Qian Zhang:
Causality-Aware Neighborhood Methods for Recommender Systems. CoRR abs/2012.09442 (2020)
2010 – 2019
- 2019
- [j3]Masahiro Sato, Koki Nagatani, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma:
Context Style Explanation for Recommender Systems. J. Inf. Process. 27: 720-729 (2019) - [c13]Janmajay Singh
, Kentaro Oshiro, Raghava Krishnan, Masahiro Sato, Tomoko Ohkuma, Noriji Kato:
Utilizing Informative Missingness for Early Prediction of Sepsis. CinC 2019: 1-4 - [c12]Masahiro Sato, Shin Kawai, Hajime Nobuhara:
Action-Triggering Recommenders: Uplift Optimization and Persuasive Explanation. ICDM Workshops 2019: 1060-1069 - [c11]Hiroshi Murata, Hiroto Yokohashi, Sayaka Matsukawa, Yui Otagaki, Hidehisa Shiomi, Masahiro Sato, Yoshikazu Toba, Satoru Kurokawa:
Antenna-Coupled Electrode Electro-Optic Modulator and 28 GHz-Band Wireless Signal Transfer over Fiber for 5G Mobile Systems. OECC/PSC 2019: 1-3 - [c10]Masahiro Sato, Janmajay Singh
, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma:
Uplift-based evaluation and optimization of recommenders. RecSys 2019: 296-304 - [c9]Koki Nagatani, Qian Zhang, Masahiro Sato, Yan-Ying Chen, Francine Chen, Tomoko Ohkuma:
Augmenting Knowledge Tracing by Considering Forgetting Behavior. WWW 2019: 3101-3107 - 2018
- [c8]Masahiro Sato, Budrul Ahsan, Koki Nagatani, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma:
Explaining Recommendations Using Contexts. IUI 2018: 659-664 - 2017
- [c7]Koki Nagatani, Masahiro Sato:
Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity. RecTemp@RecSys 2017: 35-39 - [i2]Masahiro Sato:
Predicting Triple Scoring with Crowdsourcing-specific Features - The fiddlehead Triple Scorer at WSDM Cup 2017. CoRR abs/1712.08351 (2017) - 2016
- [j2]Masahiro Sato, Hidetaka Izumo, Takashi Sonoda:
Model of Personal Discount Sensitivity in Recommender Systems. IxD&A 28: 110-123 (2016) - [j1]Masahiro Sato, Jacques Garrigue:
An Intuitionistic Set-theoretical Model of CCω. J. Inf. Process. 24(4): 711-720 (2016) - [c6]Masahiro Sato, Hidetaka Izumo, Takashi Sonoda:
Modeling Individual Users' Responsiveness to Maximize Recommendation Impact. UMAP 2016: 259-267 - 2015
- [c5]Masahiro Sato, Hidetaka Izumo, Takashi Sonoda:
Discount Sensitive Recommender System for Retail Business. EMPIRE@RecSys 2015: 33-40 - 2014
- [c4]Masahiro Sato, Masayoshi Toda:
Estimation of ship oscillation subject to ship speed variation using an algorithm combining H∞ and Kalman Filters. ICCA 2014: 929-934 - [i1]Masahiro Sato:
An Intuitionistic Set-theoretical Model of the Extended Calculus of Constructions. CoRR abs/1412.2235 (2014) - 2011
- [c3]Masahiro Sato, Tsuneo Yoshikawa:
A grasp performance criterion for robot hands considering multiple aspects of tasks and hand configurations. ROBIO 2011: 1547-1554 - 2010
- [c2]Kenichi Maruko, Tatsuya Sugioka, Hiroaki Hayashi, Zhiwei Zhou, Yasunori Tsukuda, Yuki Yagishita, Hironobu Konishi, Toshikyuki Ogata, Hisashi Owa, Taichi Niki, Kenji Konda, Masahiro Sato, Hiro Shiroshita, Takeshi Ogura, Takayuki Aoki, Hiroki Kihara, Sachiya Tanaka:
A 1.296-to-5.184Gb/s Transceiver with 2.4mW/(Gb/s) Burst-mode CDR using Dual-Edge Injection-Locked Oscillator. ISSCC 2010: 364-365
2000 – 2009
- 2006
- [c1]Yukio Horiguchi, Satoshi Tsukamoto, Hiroyuki Ono, Tetsuo Sawaragi, Masahiro Sato:
Effects of Robotic Arm Orthosis Behaviors to User's Motion Structure - Qualitative Assessment Using Arm Trajectory Profiles. IAS 2006: 883-890
Coauthor Index
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last updated on 2024-06-19 21:52 CEST by the dblp team
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