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Tomoki Ito
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2020 – today
- 2024
- [c15]Tomoki Ito, Shun Nakagawa:
Tender Document Analyzer with the Combination of Supervised Learning and LLM-based Improver. WWW (Companion Volume) 2024: 995-998 - 2020
- [j2]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Contextual Sentiment Neural Network for Document Sentiment Analysis. Data Sci. Eng. 5(2): 180-192 (2020) - [j1]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
GINN: gradient interpretable neural networks for visualizing financial texts. Int. J. Data Sci. Anal. 9(4): 431-445 (2020) - [c14]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Word-Level Contextual Sentiment Analysis with Interpretability. AAAI 2020: 4231-4238 - [c13]Anan Sawabe, Tomoki Ito, Takanori Iwai:
Machine Learning based Video Hosting Site Identification Method for MVNO Networks. CCNC 2020: 1-4 - [c12]Tomoki Ito, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Tutomu Murase:
Virtualization in Distributed Hot and Cold Storage for IoT Data Retrieval without Caching. ICIoT 2020: 463-468 - [c11]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
SSNN: Sentiment Shift Neural Network. SDM 2020: 262-270
2010 – 2019
- 2019
- [c10]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Word-level Sentiment Visualizer for Financial Documents. CIFEr 2019: 1-7 - [c9]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita:
CSNN: Contextual Sentiment Neural Network. ICDM 2019: 1126-1131 - [c8]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi:
Segment Information Extraction from Financial Annual Reports Using Neural Network. JSAI 2019: 215-226 - [c7]Tomoki Ito, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Yoji Yamato, Tutomu Murase:
Evaluation of a Realistic Example of Information-Centric Network Metadata Management. UEMCON 2019: 888-893 - [i1]Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi:
Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model. CoRR abs/1901.11493 (2019) - 2018
- [c6]Tomoki Ito, Hirofumi Noguchi, Yoji Yamato, Tutomu Murase:
Transaction Offloading for Access Management to Live Data of IoT in Information-Centric Network. GCCE 2018: 287-288 - [c5]Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita:
Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. PAKDD (3) 2018: 247-259 - [c4]Tomoki Ito, Misao Kataoka, Hirofumi Noguchi, Yoji Yamato, Tutomu Murase:
Network Architecture with Categorizing Metadata by Locality and Lifetime for IoT Database Management. WPMC 2018: 177-181 - 2017
- [c3]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. ICDM Workshops 2017: 1122-1131 - [c2]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
Development of sentiment indicators using both unlabeled and labeled posts. SSCI 2017: 1-8 - 2016
- [c1]Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
Polarity propagation of financial terms for market trend analyses using news articles. CEC 2016: 3477-3482
Coauthor Index
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