A Maximum Likelihood Approach to Density Estimation with Semidefinite Programming. - Tadayoshi Fushiki; Shingo Horiuchi; Takashi Tsuchiya (Neural Comput., 2006)

Artifact Reuse Method using Knowledge Base to Develop Operation Support Systems. - Masateru Inoue; Masataka Sato; Shingo Horiuchi; Takashi Inoue; Tetsuya Yamamura (Integrated Network Management, 2007)

Automatic image description by using word-level features. - Shingo Horiuchi; Hirotaka Moriguchi; Shinichi Honiden; Shengbo Xu (ICIMCS, 2013)

Intent-based cloud service management. - Chao Wu 014; Shingo Horiuchi (ICIN, 2018)

Spectral-Pruning: Compressing deep neural network via spectral analysis. - Taiji Suzuki; Hiroshi Abe; Tomoya Murata; Shingo Horiuchi; Kotaro Ito; Tokuma Wachi; So Hirai; Masatoshi Yukishima; Tomoaki Nishimura (CoRR, 2018)

Flexible Network Resource-Allocation Architecture Using Specification Injection. - Masataka Sato; Shingo Horiuchi (APNOMS, 2019)

A Resource Design Framework to Realize Intent-Based Cloud Management. - Chao Wu 014; Shingo Horiuchi; Kenichi Tayama (CloudCom, 2019)

Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error. - Taiji Suzuki; Hiroshi Abe; Tomoya Murata; Shingo Horiuchi; Kotaro Ito; Tokuma Wachi; So Hirai; Masatoshi Yukishima; Tomoaki Nishimura (IJCAI, 2020)

Model-based Data-Complexity Estimator for Deep Learning Systems. - Yuta Ojima; Shingo Horiuchi; Fuyuki Ishikawa (AITest, 2021)

Intent-driven cloud resource design framework to meet cloud performance requirements and its application to a cloud-sensor system. - Chao Wu 014; Shingo Horiuchi; Kenji Murase; Hiroaki Kikushima; Kenichi Tayama (J. Cloud Comput., 2021)

Fault Report Generation for ICT Systems by Jointly Learning Time-series and Text Data. - Nobukazu Fukuda; Chao Wu 014; Shingo Horiuchi; Kenichi Tayama (NOMS, 2022)

An Intent-driven DaaS Management Framework to Enhance User Quality of Experience. - Chao Wu 014; Shingo Horiuchi; Kenji Murase; Hiroaki Kikushima; Kenichi Tayama (ACM Trans. Internet Techn., 2022)