Papers - Kazuhiro Seki
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Combining Recency and Topic-Dependent Temporal Variation for Microblog Search Reviewed
Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
35th Annual European Conference on Information Retrieval (ECIR 2013) 2013.3
Joint Work
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カテゴリ階層を考慮した構造化パーセプトロンによる固有表現抽出 Reviewed
東山翔平,ブロンデルマチュー,関和広,上原邦昭
情報処理学会論文誌:数理モデル化と応用 2013
Joint Work
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Block coordinate descent algorithms for large-scale sparse multiclass classification.
Mathieu Blondel,Kazuhiro Seki,Kuniaki Uehara
Machine Learning 93 ( 1 ) 31 - 52 2013
Joint Work
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A shape-based similarity measure for time series data with ensemble learning.
Tetsuya Nakamura,Keishi Taki,Hiroki Nomiya,Kazuhiro Seki,Kuniaki Uehara
Pattern Anal. Appl. 16 ( 4 ) 535 - 548 2013
Joint Work
Other Link: http://dblp.uni-trier.de/db/journals/paa/paa16.html#journals/paa/NakamuraTNSU13
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Parallel Distributed Trajectory Pattern Mining Using MapReduce Reviewed
Ryota Jinno, Kazuhiro Seki, and Kuniaki Uehara
4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2012) 2012.12
Joint Work
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Generating Interpretable Hypotheses Based on Syllogistic Patterns Reviewed
Takuya Hagimura, Kazuhiro Seki, and Kuniaki Uehara
AAAI-2012 Fall Symposium on Information Retrieval and Knowledge Discovery in Biomedical Text 2012.11
Joint Work
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A Hybrid Approach to Finding Negated and Uncertain Expressions in Biomedical Documents Reviewed
Kazuki Fujikawa, Kazuhiro Seki, and Kuniaki Uehara
2nd International Workshop on Managing Interoperability and compleXity in Health Systems 2012.10
Joint Work
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リンク予測を基にした時系列ネットワーク中でのオブジェクトランキング Reviewed
宮西大樹,関和広,上原邦昭
人工知能学会論文誌 2012.3
Joint Work
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Object ranking in evolutional networks via link prediction
Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara
Transactions of the Japanese Society for Artificial Intelligence 27 ( 3 ) 223 - 234 2012
Joint Work
Publisher:Japanese Society for Artificial Intelligence
This paper proposes a framework to predict future significance or importance of nodes of a network through link prediction. The network can be of any kind, such as a co-authorship network where nodes are authors and coauthors are linked by edges. In this example, predicting significant nodes means to discover influential authors in the future. There are existing approaches to predicting such significant nodes in a future network and they typically rely on existing relationships between nodes. However, since such relationships are dynamic and would naturally change over time (e.g., new co-authorship continues to emerge), approaches based only on the current status of the network would have limited potentiality to predict the future. In contrast, our proposed approach first predicts future links between nodes by multiple supervised classifiers and applies the RankBoost algorithm for combining the predictions such that the links would lead to more precise predictions of a centrality (significance) measure of our choice. To demonstrate the effectiveness of our proposed approach, a series of experiments are carried out on the arXiv (HEP-Th) citation data set.
DOI: 10.1527/tjsai.27.223
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階層グリッドを用いた四分木探索による移動軌跡データからの並列分散型頻出パターン検出 Reviewed
神野良太,熊南昂司,福井聡,関和広,上原邦昭
人工知能学会論文誌 2012
Joint Work
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L1正則化によるスパース性の制約を用いた非線形分類器の学習 Reviewed
ブロンデルマチュー,関和広,上原邦昭
人工知能学会論文誌 2012
Joint Work
Authorship:Lead author
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文献情報を用いたカーネル法による遺伝子機能アノテーション Reviewed
ブロンデルマチュー,関和広,上原邦昭
情報処理学会論文誌:数理モデル化と応用 2011.11
Joint Work
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Application of Semantic Kernels to Literature-Based Gene Function Annotation Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
14th International Conference on Discovery Science (DS 2011) 2011.10
Joint Work
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Tackling Class Imbalance and Data Scarcity in Literature-Based Gene Function Annotation Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
31th annual international ACM SIGIR conference on research and development in information retrieval (SIGIR 2011) 2011.7
Joint Work
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Hypothesis Ranking Based on Semantic Event Similarities Reviewed
Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
IPSJ Transactions on Bioinformatics 2011.5
Joint Work
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Opinionated Document Retrieval Using Subjective Triggers Reviewed
Kazuhiro Seki and Kuniaki Uehara
Journal of the American Society for Information Science and Technology 2011.5
Joint Work
Authorship:Lead author
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Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
20th International Conference on Pattern Recognition (ICPR 2010) 2010.8
Joint Work
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Impact and Prospect of Social Bookmarks for Bibliographic Information Retrieval Reviewed
Kazuhiro Seki, Huawei Qin, and Kuniaki Uehara
10th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2010) 2010.6
Joint Work
Authorship:Lead author
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Hypothesis Generation and Ranking Based on Event Similarities Reviewed
Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
25th Annual ACM Symposium On Applied Computing (SAC 2010) 2010.3
Joint Work
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リンク構造とコンテンツを複合的に用いた極少訓練事例によるスプログ検出 Reviewed
吉川幹人,佐藤翔平,関和広,上原邦昭
情報処理学会論文誌:データベース 2010.3
Joint Work