Katsutoshi Yada & Daisuke Katagami 
Advances in Artificial Intelligence [PDF ebook] 
Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2020)

This book contains expanded versions of research papers presented at the international sessions of Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), which was held online in June 2020. The JSAI annual conferences are considered key events for our organization, and the international sessions held at these conferences play a key role for the society in its efforts to share Japan’s research on artificial intelligence with other countries. In recent years, AI research has proved of great interest to business people. The event draws both more and more presenters and attendees every year, including people of diverse backgrounds such as law and the social sciences, in additional to artificial intelligence. We are extremely pleased to publish this collection of papers as the research results of our international sessions.

表中的内容

A Node Classification Approach for Dynamically Extracting the Structures of Online Discussions.- Visualizing Road Condition Information by Applying the Auto Encoder to Wheelchair Sensing Data for Road Barrier Assessment.- On the Legal Revision in PROLEG program.- Viewpoint Planning based on Uncertainty Maps Created from the Generative Query Network.- Active Learning-based Data Collection in Crowd Replication.- Mining in Discharge Summaries.- Identifying Snowfall Clouds at Syowa Station, Antarctica via a Convolutional Neural Network.- Transfer Learning based Data Collection Method for Dialogue Response Generation concerning Causality.- Impact of Domain Knowledge’s Quality on Inverse Reinforcement Learning.- Intrinsically Motivated Lifelong Exploration in Reinforcement Learning.- A Preliminary Analysis of Offensive Language Detection Transferability from Social Media to Video Live Streaming Platforms.- BERT-based Dialogue Evaluation Methods with RUBER Framework.- The Morandi Room Entering the World of Morandi’s Paintings through Machine Learning.