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Tomonori Izumitani
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2020 – today
- 2023
- [c17]Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu:
Prospects of Continual Causality for Industrial Applications. AAAI Bridge Program 2023: 18-24 - [c16]Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu:
Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling. CLeaR 2023: 880-894 - 2022
- [c15]Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani:
Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. AISTATS 2022: 10407-10421 - 2021
- [c14]Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu:
Estimating individual-level optimal causal interventions combining causal models and machine learning models. CD@KDD 2021: 55-77
2010 – 2019
- 2019
- [c13]Keisuke Kiritoshi, Ryosuke Tanno, Tomonori Izumitani:
L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps. CVPR Workshops 2019: 118-121 - [c12]Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani:
Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. ICDM Workshops 2019: 376-384 - 2013
- [c11]Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino:
Bayesian semi-supervised audio event transcription based on Markov indian buffet process. ICASSP 2013: 3163-3167 - 2012
- [c10]Masaya Murata, Tomonori Izumitani, Hidehisa Nagano, Ryo Mukai, Kunio Kashino, Shin'ichi Satoh:
NTT Communication Science Laboratories and National Institute of Informatics at TRECVID 2012 Instance Search and Multimedia Event Detection Tasks. TRECVID 2012
2000 – 2009
- 2008
- [c9]Tomonori Izumitani, Ryo Mukai, Kunio Kashino:
A background music detection method based on robust feature extraction. ICASSP 2008: 13-16 - [c8]Tomonori Izumitani, Kunio Kashino:
A Robust Musical Audio Search Method Based on Diagonal Dynamic Programming Matching of Self-Similarity Matrices. ISMIR 2008: 609-613 - 2007
- [c7]Tomonori Izumitani, Kunio Kashino:
A Musical Audio Search Method Based on Self-Similarity Features. ICME 2007: 68-71 - 2006
- [c6]Tomonori Izumitani, Kunio Kashino:
Frequency Component Restoration for Music Sounds using a Markov Random Field and Maximum Entropy Learning. ICASSP (5) 2006: 257-260 - [c5]Tomonori Izumitani, Kunio Kashino:
Frequency component restoration for music sounds using local probabilistic models with maximum entropy learning. SAPA@INTERSPEECH 2006: 12-17 - 2004
- [c4]Tomonori Izumitani, Hirotoshi Taira, Hideto Kazawa, Eisaku Maeda:
Assigning Gene Ontology Categories (GO) to Yeast Genes Using Text-Based Supervised Learning Methods. CSB 2004: 503-504 - [c3]Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda:
Maximal Margin Labeling for Multi-Topic Text Categorization. NIPS 2004: 649-656 - 2003
- [c2]Hirotoshi Taira, Tomonori Izumitani, Eisaku Maeda, Takeshi Suzuki:
A New Method for Predicting RNA Secondary Structure. CSB 2003: 521-522 - [c1]Hirotoshi Taira, Tomonori Izumitani, Tsutomu Hirao, Hideki Isozaki, Hideto Kazawa, Eisaku Maeda:
Experiments in TREC 2003 Genomics Track at NTT. TREC 2003: 460-467
Coauthor Index
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last updated on 2024-08-02 19:09 CEST by the dblp team
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