Minato Sato, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara and Akihiko Ohsuga:Text Classification and Transfer Learning Based on Character-Level Deep Convolutional Neural Networks, in book "Agents and Artificial Intelligence" (Selected revised papers from ICAART 2017), ISBN: 978-3-319-93580-5, Springer, pp.62-81, 2018/06
Minato Sato, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara and Akihiko Ohsuga: Japanese Text Classification by Character-Level Deep ConvNets and Transfer Learning, 9th International Conference on Agents and Artificial Intelligence (ICAART 2017), Volume 2, pp.175-184, 2017/02 (acceptance rate: 26.5%, candidate to ICAART 2017 best student paper award)
Minato Sato, Kotaro Usui, Masaya Nakata and Keiki Takadama: Detecting Shoplifting From Customer Behavior Data by Extended XCS-SL: Towards Feature Extraction on Class-Imbalanced Sequence Data, IEEE Congress on Evolutionary Computation 2015 (CEC 2015), Sendai, Japan.