Tomoki Ito

According to our database, Tomoki Ito authored at least 17 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

GINN: gradient interpretable neural networks for visualizing financial texts.

Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Int. J. Data Sci. Anal., 2020

Contextual Sentiment Neural Network for Document Sentiment Analysis.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Data Sci. Eng., 2020

SSNN: Sentiment Shift Neural Network.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Virtualization in Distributed Hot and Cold Storage for IoT Data Retrieval without Caching.

Tomoki Ito, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Tutomu Murase

Proceedings of the IEEE International Conference on Informatics, 2020

Machine Learning based Video Hosting Site Identification Method for MVNO Networks.

Anan Sawabe, Tomoki Ito, Takanori Iwai

Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

Word-Level Contextual Sentiment Analysis with Interpretability.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model.

Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi

CoRR, 2019

Evaluation of a Realistic Example of Information-Centric Network Metadata Management.

Tomoki Ito, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Yoji Yamato, Tutomu Murase

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Segment Information Extraction from Financial Annual Reports Using Neural Network.

Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi

Proceedings of the Advances in Artificial Intelligence, 2019

CSNN: Contextual Sentiment Neural Network.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Word-level Sentiment Visualizer for Financial Documents.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

2018

Network Architecture with Categorizing Metadata by Locality and Lifetime for IoT Database Management.

Tomoki Ito, Misao Kataoka, Hirofumi Noguchi, Yoji Yamato, Tutomu Murase

Proceedings of the 21st International Symposium on Wireless Personal Multimedia Communications, 2018

Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data.

Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Transaction Offloading for Access Management to Live Data of IoT in Information-Centric Network.

Tomoki Ito, Hirofumi Noguchi, Yoji Yamato, Tutomu Murase

Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018

2017

Development of sentiment indicators using both unlabeled and labeled posts.

Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries.

Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Polarity propagation of financial terms for market trend analyses using news articles.

Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Proceedings of the IEEE Congress on Evolutionary Computation, 2016