Ikumi Suzuki

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 9

Top Topics

Kernel Regression

Top Venues

Publications

Tomoya Sasaki, Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki
Investigating Word Vectors for the Negation of Verbs. SN Comput. Sci. 5 (2) (2024)
Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki
Robust Method to Convert HIRAGANA Sequences into Japanese Text. IEEE BigData (2021)
Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi
Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials. IEEE BigData (2021)
Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki
Semantic Entanglement on Verb Negation. DATA (2021)
Yuki Eizuka, Kazuo Hara, Ikumi Suzuki
Impact of Duplicating Small Training Data on GANs. DATA (2021)
Kazuhito Tamura, Ikumi Suzuki, Kazuo Hara
Target Evaluation for Neural Language Model using Japanese Case Frame. KDIR (2020)
Adrian Zambrano, Kazuki Abe, Ikumi Suzuki, Theo Combelles, Kenjiro Tadakuma, Riichiro Tadakuma
Study on visual machine-learning on the omnidirectional transporting robot. Adv. Robotics 34 (13) (2020)
Ikumi Suzuki, Kazuo Hara
Centered kNN Graph for Semi-Supervised Learning. SIGIR (2017)
Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness. AAAI (2016)
Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
Reducing Hubness for Kernel Regression. SISAP (2015)
Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu
Reducing Hubness: A Cause of Vulnerability in Recommender Systems. SIGIR (2015)
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
Ridge Regression, Hubness, and Zero-Shot Learning. ECML/PKDD (1) (2015)
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
Ridge Regression, Hubness, and Zero-Shot Learning. CoRR (2015)
Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
Localized Centering: Reducing Hubness in Large-Sample Data. AAAI (2015)
Kazuo Hara, Ikumi Suzuki, Kousaku Okubo, Isamu Muto
Annotating Cohesive Statements of Anatomical Knowledge Toward Semi-automated Information Extraction. KDIR (2014)
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu
Centering Similarity Measures to Reduce Hubs. EMNLP (2013)
Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto
Walk-based Computation of Contextual Word Similarity. COLING (2012)
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens
Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction. AAAI (2012)
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
A graph-based approach for biomedical thesaurus expansion. DTMBIO (2009)