Ikumi Suzuki

According to our database, Ikumi Suzuki authored at least 18 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigating Word Vectors for the Negation of Verbs.

Tomoya Sasaki, Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki

SN Comput. Sci., 2024

2021

Semantic Entanglement on Verb Negation.

Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki

Proceedings of the 10th International Conference on Data Science, 2021

Impact of Duplicating Small Training Data on GANs.

Yuki Eizuka, Kazuo Hara, Ikumi Suzuki

Proceedings of the 10th International Conference on Data Science, 2021

Robust Method to Convert HIRAGANA Sequences into Japanese Text.

Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials.

Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Study on visual machine-learning on the omnidirectional transporting robot.

Adrian Zambrano, Kazuki Abe, Ikumi Suzuki, Theo Combelles, Kenjiro Tadakuma, Riichiro Tadakuma

Adv. Robotics, 2020

Target Evaluation for Neural Language Model using Japanese Case Frame.

Kazuhito Tamura, Ikumi Suzuki, Kazuo Hara

Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

2017

Centered kNN Graph for Semi-Supervised Learning.

Ikumi Suzuki, Kazuo Hara

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness.

Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Reducing Hubness for Kernel Regression.

Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

Proceedings of the Similarity Search and Applications - 8th International Conference, 2015

Reducing Hubness: A Cause of Vulnerability in Recommender Systems.

Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Ridge Regression, Hubness, and Zero-Shot Learning.

Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Localized Centering: Reducing Hubness in Large-Sample Data.

Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Annotating Cohesive Statements of Anatomical Knowledge Toward Semi-automated Information Extraction.

Kazuo Hara, Ikumi Suzuki, Kousaku Okubo, Isamu Muto

Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

2013

Centering Similarity Measures to Reduce Hubs.

Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Walk-based Computation of Contextual Word Similarity.

Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto

Proceedings of the COLING 2012, 2012

Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction.

Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2009

A graph-based approach for biomedical thesaurus expansion.

Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

Proceedings of the Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, 2009