Tomonori Izumitani

According to our database, Tomonori Izumitani authored at least 17 papers between 2003 and 2023.

Collaborative distances:

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

2023

Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling.

Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Prospects of Continual Causality for Industrial Applications.

Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu

Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022

Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference.

Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Estimating individual-level optimal causal interventions combining causal models and machine learning models.

Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu

Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

2019

Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO.

Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps.

Keisuke Kiritoshi, Ryosuke Tanno, Tomonori Izumitani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2013

Bayesian semi-supervised audio event transcription based on Markov indian buffet process.

Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

NTT Communication Science Laboratories and National Institute of Informatics at TRECVID 2012 Instance Search and Multimedia Event Detection Tasks.

Masaya Murata, Tomonori Izumitani, Hidehisa Nagano, Ryo Mukai, Kunio Kashino, Shin'ichi Satoh

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

2008

A Robust Musical Audio Search Method Based on Diagonal Dynamic Programming Matching of Self-Similarity Matrices.

Tomonori Izumitani, Kunio Kashino

Proceedings of the ISMIR 2008, 2008

A background music detection method based on robust feature extraction.

Tomonori Izumitani, Ryo Mukai, Kunio Kashino

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

A Musical Audio Search Method Based on Self-Similarity Features.

Tomonori Izumitani, Kunio Kashino

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006

Frequency component restoration for music sounds using local probabilistic models with maximum entropy learning.

Tomonori Izumitani, Kunio Kashino

Proceedings of the ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition, 2006

Frequency Component Restoration for Music Sounds using a Markov Random Field and Maximum Entropy Learning.

Tomonori Izumitani, Kunio Kashino

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004

Maximal Margin Labeling for Multi-Topic Text Categorization.

Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Assigning Gene Ontology Categories (GO) to Yeast Genes Using Text-Based Supervised Learning Methods.

Tomonori Izumitani, Hirotoshi Taira, Hideto Kazawa, Eisaku Maeda

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

Experiments in TREC 2003 Genomics Track at NTT.

Hirotoshi Taira, Tomonori Izumitani, Tsutomu Hirao, Hideki Isozaki, Hideto Kazawa, Eisaku Maeda

Proceedings of The Twelfth Text REtrieval Conference, 2003

A New Method for Predicting RNA Secondary Structure.

Hirotoshi Taira, Tomonori Izumitani, Eisaku Maeda, Takeshi Suzuki

Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003