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Hideyuki Maeda
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2010 – 2019
- 2018
- [j2]Anup Naik
, Hideyuki Maeda, Vibhor Kanojia, Sumio Fujita:
Scalable Twitter user clustering approach boosted by Personalized PageRank. Int. J. Data Sci. Anal. 6(4): 297-309 (2018) - [c8]Kenta Tamaki, Riku Togashi, Sosuke Kato, Sumio Fujita, Hideyuki Maeda, Tetsuya Sakai:
Classifying Community QA Questions That Contain an Image. ICTIR 2018: 219-222 - 2017
- [c7]Kaustubh Kulkarni, Riku Togashi, Hideyuki Maeda, Sumio Fujita:
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering. IJCNLP(2) 2017: 217-221 - [c6]Anup Naik, Hideyuki Maeda, Vibhor Kanojia, Sumio Fujita:
Scalable Twitter User Clustering Approach Boosted by Personalized PageRank. PAKDD (1) 2017: 472-485 - [c5]Sosuke Kato, Riku Togashi
, Hideyuki Maeda, Sumio Fujita, Tetsuya Sakai:
LSTM vs. BM25 for Open-domain QA: A Hands-on Comparison of Effectiveness and Efficiency. SIGIR 2017: 1309-1312 - [c4]Hideyuki Maeda:
Find Shoes Like These. SIGIR 2017: 1363 - [c3]Vibhor Kanojia, Hideyuki Maeda, Riku Togashi
, Sumio Fujita:
Enhancing Knowledge Graph Embedding with Probabilistic Negative Sampling. WWW (Companion Volume) 2017: 801-802 - [c2]Riku Togashi
, Hideyuki Maeda, Vibhor Kanojia, Kousuke Morimoto, Sumio Fujita:
Euclidean Image Embedding in view of Similarity Ranking in Auction Search by Image. WWW (Companion Volume) 2017: 847-848 - [i1]Vibhor Kanojia, Riku Togashi, Hideyuki Maeda:
Relevance Score of Triplets Using Knowledge Graph Embedding - The Pigweed Triple Scorer at WSDM Cup 2017. CoRR abs/1712.08353 (2017) - 2016
- [c1]Yasuaki Yoshida, Hideyuki Maeda, Tatsuhiro Niwa, Sumio Fujita:
YJST at the NTCIR-12 IMine-2 Task. NTCIR 2016 - 2012
- [j1]Koji Ara, Tomoaki Akitomi, Nobuo Sato, Kunio Takahashi, Hideyuki Maeda, Kazuo Yano, Masao Yanagisawa:
Integrating Wearable Sensor Technology into Project-management Process. J. Inf. Process. 20(2): 406-418 (2012)
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