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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| US | 2024-01-25 14:45 |
Online | Online | The use of ultrasound /immunology on the treatment of pancreas cancer
-- Overcoming the most intractable malignancy -- Kazuhide Okada (NTMC)  US2023-72 |
Although 51% of women and two out of three men in Japan are currently affected by development of cancer in their lifetim... [more] | US2023-72 pp.15-20 |
| WIT, SP, IPSJ-SLP [detail] | 2023-10-14 16:40 |
Fukuoka | Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
Sequence-to-sequence Voice Conversion for Electrolaryngeal Speech Enhancement with Multi-stage Pretraining and Fine-tuning Techniques Ding Ma, Lester Phillip Violeta, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) SP2023-32 WIT2023-23 |
Sequence-to-sequence (seq2seq) voice conversion (VC) models have great potential for electrolaryngeal (EL) speech to nor... [more] | SP2023-32 WIT2023-23 pp.27-32 |
| NLC | 2021-09-16 09:10 |
Online | Online | An Attempt to Extraction of Cause-Effect Expressions by Sequence-Labeling Hiroki Sakaji, Kiyoshi Izumi (The Univ. of Tokyo), Atsuo Kato (DIR), Shintaro Nagao (DAM) NLC2021-6 |
In this research, we propose a method for extracting cause-effect expressions using the general language model and clue ... [more] | NLC2021-6 pp.1-4 |
| DE, IPSJ-DBS, IPSJ-IFAT | 2021-09-16 13:00 |
Online | Online | Ensemble BERT-BiLSTM-CNN Model for Sequence Classification Vuong Thi Hong (NII/SOKENDAI), Takasu Atsuhiro (NII) DE2021-12 |
Ensemble methods use multiple learning algorithms to obtain better predictive performance. Currently, deep learning mode... [more] | DE2021-12 pp.1-6 |
| MICT, MI | 2020-11-04 10:40 |
Online | Online | Base-type identification model for next-generation DNA sequencer using CNN Daisuke Hayashi, Toru Yokoyama, Kiyohiro Obara (Hitachi) MICT2020-10 MI2020-36 |
Next-generation DNA sequencers are expected to grow in the market as their applications in the medical field such as can... [more] | MICT2020-10 MI2020-36 pp.15-20 |
| SC | 2020-05-29 15:00 |
Online | Online | Service Discovery Using Invocation Sequence Learning in Composition with Neural Language Networks Zeng Kungan, Incheon Paik (UoA) |
Service composition can provide value-added services. Such a composition is a kind of abstract sequence, but it works wi... [more] | |
| EMCJ, MICT (Joint) |
2020-03-13 13:40 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Cancelled but technical report was issued) |
Comparison of non-invasive measurement signals of neck surface deformation during repetitive saliva swallowing Yukari Miyata, Tomoya Sakai, Amane Yoshiki, Misako Higashijima (Nagasaki Univ) MICT2019-56 |
Pneumonia risk due to silent aspiration increases with age as the swallowing ability declines. A new daily-usable device... [more] | MICT2019-56 pp.23-27 |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
Japanese dialect speech classification using sequence-to-one neural networks Ryo Imaizumi (TMU), Ryo Masumura (NTT), Sayaka Shiota, Hitoshi Kiya (TMU) EA2019-108 SIP2019-110 SP2019-57 |
The language specific to a certain region is called a dialect, and the task of identifying which dialect the input speec... [more] | EA2019-108 SIP2019-110 SP2019-57 pp.41-46 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Effectiveness of sequence-to-sequence acoustic modeling by using automatic generated labels Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano (NHK) SP2019-37 |
We have proposed a method that uses yomigana (Japanese character readings) and prosodic symbols as input for sequence-to... [more] | SP2019-37 pp.49-54 |
| HIP | 2018-12-26 14:00 |
Miyagi | RIEC, Tohoku University | Effect of learned visuomotor correspondence on estimation of action-outcome interval Kentaro Yamamoto, Yukinori Wakihama (Kyushu Univ.) HIP2018-72 |
The subjective temporal interval between action and its sensory outcome is known to vary with sense of agency or causal ... [more] | HIP2018-72 pp.1-4 |
| NC, MBE (Joint) |
2018-12-15 15:30 |
Aichi | Nagoya Institute of Technology | Proposal of Analysis Accuracy Improvement Method by Logistic Regression in Single Nucleotide Polymorphism Analysis Using Next-Generation Sequencer Ginji Azuma (Kindai Univ.), Atsushi Takahashi (NCVC), Naoki Ohboshi (Kindai Univ.) NC2018-37 |
Single nucleotide polymorphisms are known to be related to phenotypes, and analysis is actively performed. However, the ... [more] | NC2018-37 pp.51-55 |
| NLP | 2018-04-27 15:35 |
Kumamoto | Kumaoto Univ. | Classification of discrete sequences using transfer learning Masato Ogata, Tsuyoshi Matsuoka (Kyushu Sangyo Univ.) NLP2018-25 |
We introduce a grayscale image in which brightness and pattern of pixels are determined by samples of a discrete sequenc... [more] | NLP2018-25 pp.121-126 |
| PRMU | 2017-12-17 09:30 |
Kanagawa | Action Sequence Recognition in Videos by Combining a CTC Network with a Statistical Language Model Mengxi Lin, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2017-101 |
Action sequence recognition aims to recognize what actions occur in a video and their temporal order. In this paper, we ... [more] | PRMU2017-101 pp.1-6 |
|
| SP, IPSJ-SLP (Joint) |
2017-07-27 16:15 |
Miyagi | Akiu Resort Hotel Crescent | Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities and Evaluation of Dual Learning Hiroyuki Miyoshi, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari (Univ. of Tokyo) SP2017-17 |
Voice conversion (VC) using sequence-to-sequence learning of context posterior probabilities is proposed. Conventional V... [more] | SP2017-17 pp.9-14 |
| COMP, ISEC | 2016-12-22 15:40 |
Hiroshima | Hiroshima University | Reduction of Search Number for Equivalence Structure Extraction Under Equivalence Structure Conservation Assumption Seiya Satoh (AIST), Yoshinobu Takahashi (University of Electro-Communications), Hiroshi Yamakawa (Dwango AI Lab) ISEC2016-87 COMP2016-48 |
We consider $K$-tuples that are composed of IDs that identify $K$D sequences where the number of IDs is $N$. An equivale... [more] | ISEC2016-87 COMP2016-48 pp.81-86 |
| MBE, NC (Joint) |
2016-11-19 09:35 |
Miyagi | Tohoku University | Zhu Bingyi, Satoshi Shioiri, Ichiro Kuriki, Kazumichi Matsumiya (Tohoku Univ) NC2016-34 |
In visual search experiment, by showing the global context repeatedly can decrease the time for searching target. This k... [more] | NC2016-34 pp.9-13 |
| ET, SITE, IPSJ-CE, IPSJ-CLE [detail] | 2015-12-04 14:10 |
Fukui | Community Hall & AOSSA Mall, Fukui | Learning of coding style in programming
-- Proposal of analyzing method based on coding features -- Yuki Hoshino, Kazuhiro Notomi, Hiromitsu Nishimura, Hiroshi Shimeno (KAIT) SITE2015-46 ET2015-74 |
Many students have efficient knowledge of grammar of programming language but scarcely acquire enough practical skills o... [more] | SITE2015-46 ET2015-74 pp.31-36 |
| ET | 2015-07-04 14:00 |
Hokkaido | Hokkaido Univ. of Education (Sapporo Station Satellite) | An instruction system for programming: utilizing time sequence of keyboard operation Yuki Hoshino, Kazuhiro Notomi, Hiromitsu Nishimura, Hiroshi Shimeno (KAIT) ET2015-28 |
Many students have efficient knowledge of grammar of programming language but scarcely acquire enough practical skills o... [more] | ET2015-28 pp.31-36 |
| NC | 2012-07-31 15:10 |
Shiga | Ritsumeikan Univ. College of Information Science and Engineering | Appearance of M-sequence in communication loop circuit model in the brain Takuya Kamimura, Yasushi Yagi (Osaka Univ.), Yen-Wei Chen (Ritsumeikan Univ.), Shinichi Tamura (NBL) NC2012-33 |
We have developed a time-shift map of the brain, which shows/ visualizes signal such as EEG and MEG etc. is transmitted/... [more] | NC2012-33 pp.103-108 |
| IBISML | 2011-03-29 09:00 |
Osaka | Nakanoshima Center, Osaka Univ. | Sequence Image Retrieval by Combining a Meta-Learing Algorithm and Query Learning Ryoichi Hata, Madori Ikeda, Mahito Sugiyama, Akihiro Yamamoto (Kyoto Univ.) IBISML2010-120 |
In this paper we propose a method combining query learning and a meta-algorithm of machine learning as a new approach fo... [more] | IBISML2010-120 pp.115-122 |
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