Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis. - Mahito Sugiyama; Kentaro Imajo; Keisuke Otaki; Akihiro Yamamoto (ILP (Late Breaking Papers), 2011)

Fast Gaussian filtering algorithm using splines. - Kentaro Imajo (ICPR, 2012)

Semi-Supervised Ligand Finding Using Formal Concept Analysis. - Mahito Sugiyama; Kentaro Imajo; Keisuke Otaki; Akihiro Yamamoto (Inf. Media Technol., 2012)

Deep Portfolio Optimization via Distributional Prediction of Residual Factors. - Kentaro Imajo; Kentaro Minami; Katsuya Ito; Kei Nakagawa (AAAI, 2021)

Trader-Company Method: A Metaheuristics for Interpretable Stock Price Prediction. - Katsuya Ito; Kentaro Minami; Kentaro Imajo; Kei Nakagawa (AAMAS, 2021)

What Data Augmentation Do We Need for Deep-Learning-Based Finance? - Liu Ziyin 001; Kentaro Minami; Kentaro Imajo (CoRR, 2021)

Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty. - Yugo Fujimoto; Kei Nakagawa; Kentaro Imajo; Kentaro Minami (IEEE Big Data, 2022)

Theoretically Motivated Data Augmentation and Regularization for Portfolio Construction. - Liu Ziyin 001; Kentaro Minami; Kentaro Imajo (ICAIF, 2022)

Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling. - Masanori Hirano 001; Kentaro Minami; Kentaro Imajo (ICAIF, 2023)

Efficient Learning of Nested Deep Hedging using Multiple Options. - Masanori Hirano 001; Kentaro Imajo; Kentaro Minami; Takuya Shimada (IIAI-AAI, 2023)

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation. - Kota Tanabe; Masanori Hirano 001; Kazuki Matoya; Kentaro Imajo; Hiroki Sakaji; Itsuki Noda (IEEE Big Data, 2024)

Construction of Domain-Specified Japanese Large Language Model for Finance Through Continual Pre-Training. - Masanori Hirano 001; Kentaro Imajo (IIAI-AAI, 2024)

The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging. - Masanori Hirano 001; Kentaro Imajo (CoRR, 2024)

PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. - Kenshin Abe; Kaizaburo Chubachi; Yasuhiro Fujita 001; Yuta Hirokawa; Kentaro Imajo; Toshiki Kataoka; Hiroyoshi Komatsu; Hiroaki Mikami; Tsuguo Mogami; Shogo Murai; Kosuke Nakago; Daisuke Nishino; et al. (CoRR, 2024)

Financial Fine-Tuning a Large Time Series Model. - Xinghong Fu; Masanori Hirano 001; Kentaro Imajo (CIFEr, 2025)

A Judge-free LLM Open-ended Generation Benchmark Based on the Distributional Hypothesis. - Kentaro Imajo; Masanori Hirano 001; Shuji Suzuki; Hiroaki Mikami (CoRR, 2025)