Tomoki Ito

20 papers A* 2A 1B 2Journal 3Unranked 12
YearRankTypeTitle / Venue / Authors
2025 B conf
Medical Incident Causal Factors and Preventive Measures Generation Using Tag-Based Example Selection in Few-Shot Learning.
IEEE Big Data
Yuna Haseyama, Tomoki Ito, Hiroki Sakaji, Itsuki Noda
2024 — conf
Analysis of Important Phrases in Bidding Documents Using Table Encoder Joint Extraction.
CIFEr
Tomoki Ito, Shun Nakagawa
2024 — conf
Tender Document Analyzer with the Combination of Supervised Learning and LLM-based Improver.
WWW (Companion Volume)
Tomoki Ito, Shun Nakagawa
2020 J jnl
Contextual Sentiment Neural Network for Document Sentiment Analysis.
Data Sci. Eng.
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
2020 J jnl
GINN: gradient interpretable neural networks for visualizing financial texts.
Int. J. Data Sci. Anal.
Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
2020 — conf
Machine Learning based Video Hosting Site Identification Method for MVNO Networks.
CCNC
Anan Sawabe, Tomoki Ito, Takanori Iwai
2020 A conf
SSNN: Sentiment Shift Neural Network.
SDM
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
2020 — conf
Virtualization in Distributed Hot and Cold Storage for IoT Data Retrieval without Caching.
ICIoT
Tomoki Ito, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Tutomu Murase
2020 A* conf
Word-Level Contextual Sentiment Analysis with Interpretability.
AAAI
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
2019 A* conf
CSNN: Contextual Sentiment Neural Network.
ICDM
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita
2019 J jnl
Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model.
CoRR
Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi
2019 — conf
Evaluation of a Realistic Example of Information-Centric Network Metadata Management.
UEMCON
Tomoki Ito, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Yoji Yamato, Tutomu Murase
2019 — conf
Segment Information Extraction from Financial Annual Reports Using Neural Network.
JSAI
Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi
2019 — conf
Word-level Sentiment Visualizer for Financial Documents.
CIFEr
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
2018 — conf
Network Architecture with Categorizing Metadata by Locality and Lifetime for IoT Database Management.
WPMC
Tomoki Ito, Misao Kataoka, Hirofumi Noguchi, Yoji Yamato, Tutomu Murase
2018 — conf
Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data.
PAKDD (3)
Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita
2018 — conf
Transaction Offloading for Access Management to Live Data of IoT in Information-Centric Network.
GCCE
Tomoki Ito, Hirofumi Noguchi, Yoji Yamato, Tutomu Murase
2017 — conf
Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries.
ICDM Workshops
Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
2017 — conf
Development of sentiment indicators using both unlabeled and labeled posts.
SSCI
Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
2016 B conf
Polarity propagation of financial terms for market trend analyses using news articles.
CEC
Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita