Tomonori Izumitani

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 6

Top Topics

Learning Models

Noise Reduction

Top Venues

AAAI Bridge Program

Publications

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)
Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu
Prospects of Continual Causality for Industrial Applications. AAAI Bridge Program (2023)
Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani
Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. AISTATS (2022)
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)
Keisuke Kiritoshi, Ryosuke Tanno, Tomonori Izumitani
L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps. CVPR Workshops (2019)
Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani
Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. ICDM Workshops (2019)
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)
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)
Tomonori Izumitani, Kunio Kashino
A Robust Musical Audio Search Method Based on Diagonal Dynamic Programming Matching of Self-Similarity Matrices. ISMIR (2008)
Tomonori Izumitani, Ryo Mukai, Kunio Kashino
A background music detection method based on robust feature extraction. ICASSP (2008)
Tomonori Izumitani, Kunio Kashino
A Musical Audio Search Method Based on Self-Similarity Features. ICME (2007)
Tomonori Izumitani, Kunio Kashino
Frequency Component Restoration for Music Sounds using a Markov Random Field and Maximum Entropy Learning. ICASSP (5) (2006)
Tomonori Izumitani, Kunio Kashino
Frequency component restoration for music sounds using local probabilistic models with maximum entropy learning. SAPA@INTERSPEECH (2006)
Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda
Maximal Margin Labeling for Multi-Topic Text Categorization. NIPS (2004)
Tomonori Izumitani, Hirotoshi Taira, Hideto Kazawa, Eisaku Maeda
Assigning Gene Ontology Categories (GO) to Yeast Genes Using Text-Based Supervised Learning Methods. CSB (2004)
Hirotoshi Taira, Tomonori Izumitani, Eisaku Maeda, Takeshi Suzuki
A New Method for Predicting RNA Secondary Structure. CSB (2003)
Hirotoshi Taira, Tomonori Izumitani, Tsutomu Hirao, Hideki Isozaki, Hideto Kazawa, Eisaku Maeda
Experiments in TREC 2003 Genomics Track at NTT. TREC (2003)