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Mitsuo Yoshida 0001
Person information
- affiliation: University of Tsukuba, Tokyo, Japan
- affiliation: Toyohashi University of Technology, Department of Computer Science and Engineering, Japan
Other persons with the same name
- Mitsuo Yoshida 0002 — Kyoto Institute of Technology, Department of Electronics and Information Science, Japan
2020 – today
- 2025
- [j8]Tatsuya Tojima, Mitsuo Yoshida:
Zero-Shot Classification of Art With Large Language Models. IEEE Access 13: 17426-17439 (2025) - 2024
- [j7]Dongwoo Lim
, Fujio Toriumi, Mitsuo Yoshida
, Mikihito Tanaka, Kunhao Yang
:
The variant of efforts avoiding strain: successful correction of a scientific discourse related to COVID-19. J. Comput. Soc. Sci. 7(1): 1-21 (2024) - [j6]Fujio Toriumi
, Takeshi Sakaki, Tetsuro Kobayashi, Mitsuo Yoshida
:
Anti-vaccine rabbit hole leads to political representation: the case of Twitter in Japan. J. Comput. Soc. Sci. 7(1): 405-423 (2024) - [c35]Naoki Ishikura, Masatoshi Tsuchiya, Mitsuo Yoshida:
Between Information Diffusion Trends and Emotions for TV Anime Works on Twitter. KES 2024: 3908-3917 - [i34]Takuro Niitsuma, Mitsuo Yoshida, Hideaki Tamori, Yo Nakawake:
Influencers' Reposts and Viral Diffusion: Prestige Bias in Online Communities. CoRR abs/2411.05448 (2024) - 2023
- [c34]Masatoshi Ushiba, Shiori Hironaka
, Mitsuo Yoshida
, Kyoji Umemura:
Large-Scale Analysis of Rural-Urban Differences in Geographic Homophily. WI/IAT 2023: 372-377 - [c33]Kenjiro Inoue, Mitsuo Yoshida
:
Analysis of Psychographic Indicators via LIWC and Their Correlation with CTR for Instagram Ads. WI/IAT 2023: 648-654 - [i33]Kenjiro Inoue, Mitsuo Yoshida:
Analysis of Psychographic Indicators via LIWC and Their Correlation with CTR for Instagram Ads. CoRR abs/2312.08235 (2023) - 2022
- [c32]Ryosuke Yamanishi, Hoshu Takemoto, Yoko Nishihara, Mitsuo Yoshida
, Tomoko Ohsuga, Keizo Oyama:
Applying Existing Datasets as a Pseudo Corpus for Sentiment Representation on Social Media. KES 2022: 335-342 - [i32]Hayato Oshimo, Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura:
Follower-Followee Ratio Category and User Vector for Analyzing Following Behavior. CoRR abs/2210.13874 (2022) - [i31]Ayaka Takamoto, Mitsuo Yoshida, Kyoji Umemura:
Comparing Two Counting Methods for Estimating the Probabilities of Strings. CoRR abs/2211.04024 (2022) - 2021
- [j5]Shiori Hironaka
, Mitsuo Yoshida
, Kyoji Umemura
:
Cross-Country Analysis of User Profiles for Graph-Based Location Estimation. IEEE Access 9: 168831-168839 (2021) - [j4]Masato Kikuchi, Kento Kawakami, Kazuho Watanabe
, Mitsuo Yoshida
, Kyoji Umemura:
Unified Likelihood Ratio Estimation for High- to Zero-Frequency N-Grams. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(8): 1059-1074 (2021) - [c31]Namiko Toriyama, Mitsuo Yoshida
, Takayuki Itoh:
Visualization of sub-network sets by iterative graph sampling from large scale networks. IV 2021: 1-6 - [c30]Hinako Sassa, Maxime Cordeil, Mitsuo Yoshida
, Takayuki Itoh:
Visual Linking of Feature Values in Immersive Graph Visualization Environment. VINCI 2021: 13:1-13:6 - [c29]Kyosuke Shimada, Kazuhiro Kazama, Mitsuo Yoshida
, Ikki Ohmukai, Sho Sato:
Analysis of Leading Communities Contributing to arXiv Information Distribution on Twitter. WI/IAT 2021: 40-47 - [c28]Dongwoo Lim
, Fujio Toriumi, Mitsuo Yoshida
:
Do you trust experts on Twitter?: Successful correction of COVID-19-related misinformation. WI/IAT 2021: 518-523 - [i30]Ryusuke Iizuka, Fujio Toriumi, Mao Nishiguchi, Masanori Takano, Mitsuo Yoshida:
Corrective Information Does Not Necessarily Curb Social Disruption. CoRR abs/2101.09665 (2021) - [i29]Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura:
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams. CoRR abs/2110.00946 (2021) - [i28]Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura:
Comparison of Indicators of Location Homophily Using Twitter Follow Graph. CoRR abs/2110.13410 (2021) - [i27]Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura, Tadachika Ozono:
Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams. CoRR abs/2111.03350 (2021) - [i26]Dongwoo Lim, Fujio Toriumi, Mitsuo Yoshida:
Do you trust experts on Twitter?: Successful correction of COVID-19-related misinformation. CoRR abs/2112.07230 (2021) - [i25]Kyosuke Shimada, Kazuhiro Kazama, Mitsuo Yoshida, Ikki Ohmukai, Sho Sato:
Analysis of Leading Communities Contributing to arXiv Information Distribution on Twitter. CoRR abs/2112.08073 (2021) - 2020
- [c27]Toshiki Aoba, Masato Kikuchi, Mitsuo Yoshida
, Kyoji Umemura:
Improving Estimation of Conditional Probability for Determining Importance of a Bigram. KST 2020: 145-148 - [c26]Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida
, Kyoji Umemura:
Analysis of Short Dwell Time in Relation to User Interest in a News Application. WI/IAT 2020: 219-226 - [c25]Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida
, Kyoji Umemura:
The metrics of keywords to understand the difference between Retweet and Like in each category. WI/IAT 2020: 560-567 - [i24]Hinako Sassa, Maxime Cordeil, Mitsuo Yoshida, Takayuki Itoh:
Brushing Feature Values in Immersive Graph Visualization Environment. CoRR abs/2008.09830 (2020) - [i23]Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura:
The metrics of keywords to understand the difference between Retweet and Like in each category. CoRR abs/2012.13990 (2020) - [i22]Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura:
Analysis of Short Dwell Time in Relation to User Interest in a News Application. CoRR abs/2012.13992 (2020)
2010 – 2019
- 2019
- [j3]Kaya Okada
, Mitsuo Yoshida
, Takayuki Itoh, Tobias Czauderna
, Kingsley Stephens:
VR system for spatio-temporal visualization of tweet data and support of map exploration. Multim. Tools Appl. 78(23): 32849-32868 (2019) - [c24]Hinako Sassa, Takayuki Itoh, Mitsuo Yoshida
:
3D Visualization of Network Including Nodes with Labels. IV (1) 2019: 19-24 - [c23]Shiori Hironaka
, Mitsuo Yoshida
, Kyoji Umemura:
User's Centrality Analysis for Home Location Estimation. WI (Companion) 2019: 59-63 - [i21]Ryosuke Homma, Keiichi Soejima, Mitsuo Yoshida, Kyoji Umemura:
Analysis of User Dwell Time on Non-News Pages. CoRR abs/1903.00213 (2019) - [i20]Hiroshi Hayano, Masanori Takano, Soichiro Morishita, Mitsuo Yoshida, Kyoji Umemura:
Analysis of the Influence of Internet TV Station on Wikipedia Page Views. CoRR abs/1903.01704 (2019) - [i19]Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura:
Journal Name Extraction from Japanese Scientific News Articles. CoRR abs/1906.04655 (2019) - [i18]Yoshifumi Seki, Mitsuo Yoshida:
Analysis of User Dwell Time by Category in News Application. CoRR abs/1908.08690 (2019) - [i17]Yoshifumi Seki, Mitsuo Yoshida:
Analysis of Bias in Gathering Information Between User Attributes in News Application. CoRR abs/1909.00554 (2019) - [i16]Shintaro Uchiyama, Hayato Okumoto, Mitsuo Yoshida, Yuko Ichikawa, Kyoji Umemura:
Usefulness of Instructor Annotations on Flipped Learning Preparation Video System. CoRR abs/1909.11341 (2019) - [i15]Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura:
User's Centrality Analysis for Home Location Estimation. CoRR abs/1910.13195 (2019) - 2018
- [j2]Takashi Nicholas Maeda
, Mitsuo Yoshida
, Fujio Toriumi
, Hirotada Ohashi:
Extraction of Tourist Destinations and Comparative Analysis of Preferences Between Foreign Tourists and Domestic Tourists on the Basis of Geotagged Social Media Data. ISPRS Int. J. Geo Inf. 7(3): 99 (2018) - [j1]Chen Zhong
, Shi Zeng
, Wei Tu
, Mitsuo Yoshida
:
Profiling the Spatial Structure of London: From Individual Tweets to Aggregated Functional Zones. ISPRS Int. J. Geo Inf. 7(10): 386 (2018) - [c22]Masato Kikuchi, Mitsuo Yoshida
, Kyoji Umemura:
Journal Name Extraction from Japanese Scientific News Articles. APSIPA 2018: 143-148 - [c21]Hiroshi Hayano, Masanori Takano, Soichiro Morishita, Mitsuo Yoshida
, Kyoji Umemura:
Analysis of the Influence of Internet TV Station on Wikipedia Page Views. IEEE BigData 2018: 4328-4332 - [c20]Ryosuke Homma, Keiichi Soejima, Mitsuo Yoshida
, Kyoji Umemura:
Analysis of User Dwell Time on Non-News Pages. IEEE BigData 2018: 4333-4338 - [c19]Yoshifumi Seki, Mitsuo Yoshida
:
Analysis of Bias in Gathering Information Between User Attributes in News Application. IEEE BigData 2018: 4375-4382 - [c18]Shohei Usui, Mitsuo Yoshida
, Fujio Toriumi
:
Analysis of Information Polarization During Japan's 2017 Election. IEEE BigData 2018: 4383-4386 - [c17]Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura:
Temporal Analysis of Online Social Graph by Home Location. IUI Workshops 2018 - [c16]Kaya Okada, Mitsuo Yoshida
, Takayuki Itoh, Tobias Czauderna
, Kingsley Stephens:
Spatio-Temporal Visualization of Tweet Data around Tokyo Disneyland Using VR. IUI Companion 2018: 47:1-47:2 - [c15]Kaya Okada, Mitsuo Yoshida
, Takayuki Itoh, Tobias Czauderna
, Kingsley Stephens:
VR System for Spatio-Temporal Visualization of Tweet Data. IV 2018: 91-95 - [c14]Chisae Iwashina, Mitsuo Yoshida
, Takayuki Itoh:
Visualization of Diffusion Behavior Pattern of Influencers by Genre on SNS. IV 2018: 272-277 - [c13]Ayaka Takamoto, Mitsuo Yoshida
, Kyoji Umemura, Yuko Ichikawa:
Feature Selection for Composer Classification Method using Quantity of Information. KST 2018: 30-33 - [c12]Mitsuo Yoshida
, Fujio Toriumi
:
Information Diffusion Power of Political Party Twitter Accounts During Japan's 2017 Election. SocInfo (2) 2018: 334-342 - [c11]Yoshifumi Seki, Mitsuo Yoshida
:
Analysis of User Dwell Time by Category in News Application. WI 2018: 732-735 - [c10]Mitsuo Yoshida
, Fujio Toriumi
:
Analysis of Political Party Twitter Accounts' Retweeters during Japan's 2017 Election. WI 2018: 736-739 - [i14]Ayaka Takamoto, Mitsuo Yoshida, Kyoji Umemura, Yuko Ichikawa:
Computing Information Quantity as Similarity Measure for Music Classification Task. CoRR abs/1804.05486 (2018) - [i13]Mitsuo Yoshida, Fujio Toriumi:
Do Political Detachment Users Receive Various Political Information on Social Media? CoRR abs/1806.10173 (2018) - [i12]Hayato Okumoto, Mitsuo Yoshida, Kyoji Umemura, Yuko Ichikawa:
Response Collector: A Video Learning System for Flipped Classrooms. CoRR abs/1808.07227 (2018) - [i11]Mitsuo Yoshida, Fujio Toriumi:
Information Diffusion Power of Political Party Twitter Accounts During Japan's 2017 Election. CoRR abs/1809.09514 (2018) - [i10]Mitsuo Yoshida, Fujio Toriumi:
Analysis of Political Party Twitter Accounts' Retweeters During Japan's 2017 Election. CoRR abs/1812.06698 (2018) - 2017
- [c9]Jinsei Shima, Mitsuo Yoshida
, Kyoji Umemura:
When do users change their profile information on twitter? IEEE BigData 2017: 3119-3122 - [c8]Ryosuke Yamanishi, Ryota Nozawa, Yoko Nishihara, Mitsuo Yoshida
:
Can We Estimate Others' Friendships with a Single Interaction Features on Twitter? IIAI-AAI 2017: 330-333 - [c7]Kana Oomoto, Haruka Oikawa, Eiko Yamamoto, Mitsuo Yoshida
, Masayuki Okabe, Kyoji Umemura:
Polysemy detection in distributed representation of word sense. KST 2017: 28-33 - [i9]Yuki Kondo, Masatsugu Hangyo, Mitsuo Yoshida, Kyoji Umemura:
Home Location Estimation Using Weather Observation Data. CoRR abs/1709.00714 (2017) - [i8]Masato Kikuchi, Eiko Yamamoto, Mitsuo Yoshida, Masayuki Okabe, Kyoji Umemura:
Using Conservative Estimation for Conditional Probability instead of Ignoring Infrequent Case. CoRR abs/1709.08309 (2017) - [i7]Masato Kikuchi, Mitsuo Yoshida, Masayuki Okabe, Kyoji Umemura:
Confidence Interval of Probability Estimator of Laplace Smoothing. CoRR abs/1709.08314 (2017) - [i6]Hayato Okumoto, Mitsuo Yoshida, Kyoji Umemura:
Realizing Half-Diminished Reality from Video Stream of Manipulating Objects. CoRR abs/1709.08340 (2017) - [i5]Kana Oomoto, Haruka Oikawa, Eiko Yamamoto, Mitsuo Yoshida, Masayuki Okabe, Kyoji Umemura:
Polysemy Detection in Distributed Representation of Word Sense. CoRR abs/1709.08858 (2017) - [i4]Ayaka Takamoto, Mayu Umemura, Mitsuo Yoshida, Kyoji Umemura:
Improving Compression Based Dissimilarity Measure for Music Score Analysis. CoRR abs/1710.01446 (2017) - [i3]Jinsei Shima, Mitsuo Yoshida, Kyoji Umemura:
When Do Users Change Their Profile Information on Twitter? CoRR abs/1711.09251 (2017) - 2016
- [c6]Yuka Kamiko, Mitsuo Yoshida
, Hirotada Ohashi, Fujio Toriumi
:
Uncovering information flow among users by time-series retweet data: Who is a friend of whom on Twitter? IEEE BigData 2016: 2500-2504 - [c5]Takashi Nicholas Maeda, Mitsuo Yoshida
, Fujio Toriumi
, Hirotada Ohashi:
Decision Tree Analysis of Tourists' Preferences Regarding Tourist Attractions Using Geotag Data from Social Media. Urb-IoT 2016: 61-64 - [i2]Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura:
Analysis of Home Location Estimation with Iteration on Twitter Following Relationship. CoRR abs/1608.08331 (2016) - 2015
- [c4]Yuto Yamaguchi, Mitsuo Yoshida, Christos Faloutsos, Hiroyuki Kitagawa:
Patterns in Interactive Tagging Networks. ICWSM 2015: 513-522 - [c3]Mitsuo Yoshida
, Yuki Arase, Takaaki Tsunoda, Mikio Yamamoto:
Wikipedia Page View Reflects Web Search Trend. WebSci 2015: 65:1-65:2 - [c2]Yuto Yamaguchi, Mitsuo Yoshida
, Christos Faloutsos, Hiroyuki Kitagawa
:
Why Do You Follow Him?: Multilinear Analysis on Twitter. WWW (Companion Volume) 2015: 137-138 - [i1]Mitsuo Yoshida, Yuki Arase, Takaaki Tsunoda, Mikio Yamamoto:
Wikipedia Page View Reflects Web Search Trend. CoRR abs/1509.02218 (2015) - 2012
- [c1]Mitsuo Yoshida
, Yuki Arase:
Exploiting Twitter for Spiking Query Classification. AIRS 2012: 138-149
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