Ranking of importance measures of tweet communities: Application to keyword extraction from COVID-19 tweets in Japan R Harakawa, M Iwahashi IEEE Transactions on Computational Social Systems 8 (4), 1030-1041, 2021 | 21 | 2021 |
Sentiment-aware personalized tweet recommendation through multimodal FFM R Harakawa, D Takehara, T Ogawa, M Haseyama Multimedia Tools and Applications 77 (14), 18741-18759, 2018 | 21 | 2018 |
Accurate and Efficient Extraction of Hierarchical Structure of Web Communities for Web Video Retrieval R Harakawa, T Ogawa, M Haseyama ITE Transactions on Media Technology and Applications 4 (1), 49-59, 2016 | 21 | 2016 |
Automatic detection of fish sounds based on multi-stage classification including logistic regression via adaptive feature weighting R Harakawa, T Ogawa, M Haseyama, T Akamatsu The Journal of the Acoustical Society of America 144 (5), 2709-2718, 2018 | 18 | 2018 |
Extracting hierarchical structure of web video groups based on sentiment-aware signed network analysis R Harakawa, T Ogawa, M Haseyama IEEE Access 5, 16963-16973, 2017 | 18 | 2017 |
Brain decoding of viewed image categories via semi-supervised multi-view Bayesian generative model Y Akamatsu, R Harakawa, T Ogawa, M Haseyama IEEE Transactions on Signal Processing 68, 5769-5781, 2020 | 15 | 2020 |
Consensus clustering of tweet networks via semantic and sentiment similarity estimation R Harakawa, S Takimura, T Ogawa, M Haseyama, M Iwahashi IEEE Access 7, 116207-116217, 2019 | 14 | 2019 |
Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network Y Matsumoto, R Harakawa, T Ogawa, M Haseyama IEEE Access 7, 104155-104167, 2019 | 11 | 2019 |
Personalized Recommendation of Tumblr Posts Using Graph Convolutional Networks with Preference-aware Multimodal Features K Ohtomo, R Harakawa, T Ogawa, M Haseyama, M Iwahashi ITE Transactions on Media Technology and Applications 9 (1), 54-61, 2021 | 10 | 2021 |
River state classification combining patch-based processing and CNN T Oga, R Harakawa, S Minewaki, Y Umeki, Y Matsuda, M Iwahashi Plos one 15 (12), e0243073, 2020 | 10 | 2020 |
Multi-view bayesian generative model for multi-subject fmri data on brain decoding of viewed image categories Y Akamatsu, R Harakawa, T Ogawa, M Haseyama ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
Extraction of hierarchical structure of Web communities including salient keyword estimation for Web video retrieval R Harakawa, T Ogawa, M Haseyama 2015 IEEE International Conference on Image Processing (ICIP), 1021-1025, 2015 | 10 | 2015 |
Extracting hierarchical structure of content groups from different social media platforms using multiple social metadata D Takehara, R Harakawa, T Ogawa, M Haseyama Multimedia Tools and Applications 76, 20249-20272, 2017 | 9 | 2017 |
Context-aware network analysis of music streaming services for popularity estimation of artists Y Matsumoto, R Harakawa, T Ogawa, M Haseyama IEEE Access 8, 48673-48685, 2020 | 8 | 2020 |
A Web video retrieval method using hierarchical structure of Web video groups R Harakawa, T Ogawa, M Haseyama Multimedia Tools and Applications 75, 17059-17079, 2016 | 7 | 2016 |
Contour-adaptive image restoration based on compressed sensing for ultrafast phenomena M Tsumori, S Nagai, R Harakawa, T Sasaki, M Iwahashi Applied Physics Letters 117 (4), 2020 | 6 | 2020 |
Estimating viewed image categories from fMRI activity via multi-view Bayesian generative model Y Akamatsu, R Harakawa, T Ogawa, M Haseyama 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), 127-128, 2019 | 6 | 2019 |
Estimation of viewed image categories via CCA using human brain activity Y Akamatsu, R Harakawa, T Ogawa, M Haseyama 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), 202-203, 2018 | 6 | 2018 |
An efficient extraction method of hierarchical structure of web communities for web video retrieval R Harakawa, T Ogawa, M Haseyama ITE Transactions on Media Technology and Applications 2 (3), 287-297, 2014 | 6 | 2014 |
LCNME: Label correction using network prediction based on memorization effects for cross-modal retrieval with noisy labels D Okamura, R Harakawa, M Iwahashi IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 5 | 2023 |