Ikumi Suzuki

20 papers A* 7B 2C 2Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Hubness Change Point Detection.
AAAI
Ikumi Suzuki, Kazuo Hara, Eiji Murakami
2024 J jnl
Investigating Word Vectors for the Negation of Verbs.
SN Comput. Sci.
Tomoya Sasaki, Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki
2021 — conf
Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials.
IEEE BigData
Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi
2021 C conf
Impact of Duplicating Small Training Data on GANs.
DATA
Yuki Eizuka, Kazuo Hara, Ikumi Suzuki
2021 — conf
Robust Method to Convert HIRAGANA Sequences into Japanese Text.
IEEE BigData
Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki
2021 C conf
Semantic Entanglement on Verb Negation.
DATA
Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki
2020 J jnl
Study on visual machine-learning on the omnidirectional transporting robot.
Adv. Robotics
Adrian Zambrano, Kazuki Abe, Ikumi Suzuki, Theo Combelles, Kenjiro Tadakuma, Riichiro Tadakuma
2020 — conf
Target Evaluation for Neural Language Model using Japanese Case Frame.
KDIR
Kazuhito Tamura, Ikumi Suzuki, Kazuo Hara
2017 A* conf
Centered kNN Graph for Semi-Supervised Learning.
SIGIR
Ikumi Suzuki, Kazuo Hara
2016 A* conf
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness.
AAAI
Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
2015 A* conf
Localized Centering: Reducing Hubness in Large-Sample Data.
AAAI
Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
2015 B conf
Reducing Hubness for Kernel Regression.
SISAP
Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
2015 A* conf
Reducing Hubness: A Cause of Vulnerability in Recommender Systems.
SIGIR
Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu
2015 — conf
Ridge Regression, Hubness, and Zero-Shot Learning.
ECML/PKDD (1)
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
2015 J jnl
Ridge Regression, Hubness, and Zero-Shot Learning.
CoRR
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
2014 — conf
Annotating Cohesive Statements of Anatomical Knowledge Toward Semi-automated Information Extraction.
KDIR
Kazuo Hara, Ikumi Suzuki, Kousaku Okubo, Isamu Muto
2013 A* conf
Centering Similarity Measures to Reduce Hubs.
EMNLP
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu
2012 A* conf
Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction.
AAAI
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens
2012 B conf
Walk-based Computation of Contextual Word Similarity.
COLING
Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto
2009 — conf
A graph-based approach for biomedical thesaurus expansion.
DTMBIO
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto