Analysis of Critical and Redundant Vertices in Controlling Directed Complex Networks Using Feedback Vertex Sets. - Yu Bao; Morihiro Hayashida; Pengyu Liu 002; Masayuki Ishitsuka; Jose C. Nacher; Tatsuya Akutsu (J. Comput. Biol., 2018)

Extracting boolean and probabilistic rules from trained neural networks. - Pengyu Liu 002; Avraham A. Melkman; Tatsuya Akutsu (Neural Networks, 2020)

ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites. - Pengyu Liu 002; Jiangning Song; Chun-Yu Lin 003; Tatsuya Akutsu (BMC Bioinform., 2021)

On the Distribution of Successor States in Boolean Threshold Networks. - Sini Guo; Pengyu Liu 002; Wai-Ki Ching; Tatsuya Akutsu (IEEE Trans. Neural Networks Learn. Syst., 2022)

On the Compressive Power of Boolean Threshold Autoencoders. - Avraham A. Melkman; Sini Guo; Wai-Ki Ching; Pengyu Liu 002; Tatsuya Akutsu (IEEE Trans. Neural Networks Learn. Syst., 2023)