The improved source model for high-quality synthetic speech sound. - Tomoki Hamagami; Shinichiro Hashimoto (ICSLP, 1990)

A new synthesizer model for high quality synthetic speech. - Tomoki Hamagami; Shinichiro Hashimoto (SSW, 1990)

A study on Japanese prosodic pattern and its modeling in restricted speech. - Tomoki Hamagami; Ken-ichi Magata; Mitsuo Komura (ICSLP, 1996)

A method for estimating prosodic symbol from text for Japanese text-to-speech synthesis. - Ken-ichi Magata; Tomoki Hamagami; Mitsuo Komura (ICSLP, 1996)

Method of crowd simulation by using multiagent on cellular automata. - Tomoki Hamagami; Hironori Hirata (IAT, 2003)

An adjustment method of the number of states of Q-learning segmenting state space adaptively. - Tomoki Hamagami; Hironori Hirata (SMC, 2003)

Development of intelligent wheelchair acquiring autonomous, cooperative, and collaborative behavior. - Tomoki Hamagami; Hironori Hirata (SMC (4), 2004)

State space partitioning and clustering with sensor alignment for autonomous robots. - Tomoki Hamagami; Hironori Hirata (SMC, 2005)

Complex-Valued Reinforcement Learning. - Tomoki Hamagami; Takeshi Shibuya; Shingo Shimada (SMC, 2006)

A new genetic algorithm with diploid chromosomes by using probability decoding for non-stationary function optimization. - Manabu Kominami; Tomoki Hamagami (SMC, 2007)

Experimental study of the eligibility traces in complex valued reinforcement learning. - Takeshi Shibuya; Shingo Shimada; Tomoki Hamagami (SMC, 2007)

Cross-Layer Routing Method for the SCTP with Multihoming MIPv6. - Hongbo Shi; Tomoki Hamagami (AccessNets, 2009)

Reinforcement learning in continuous state space with perceptual aliasing by using complex-valued RBF network. - Takeshi Shibuya; Hideaki Arita; Tomoki Hamagami (SMC, 2010)

Complex-valued reinforcement learning with hierarchical architecture. - Atsuhiro Yamazaki; Tomoki Hamagami; Takeshi Shibuya (SMC, 2010)

Machine Learning Based Autonomous Network Flow Identifying Method. - Hongbo Shi; Tomoki Hamagami; Haoyuan Xu (WICON, 2011)

A Software Quality Evaluation Method Using the Change of Source Code Metrics. - Mitsuhiro Nakamura; Tomoki Hamagami (ISSRE Workshops, 2012)

A Method for Classifying Packets into Network Flows Based on GHSOM. - Hongbo Shi; Tomoki Hamagami; Haoyuan Xu; Ping Yu 001; Yonghe Wu (Mob. Networks Appl., 2012)

Context awareness by unit-type evolutionary Petri net for team medical care support. - Takuo Suzuki; Tomoki Hamagami (SMC, 2014)

Theoretical XCS parameter settings of learning accurate classifiers. - Masaya Nakata; Will N. Browne; Tomoki Hamagami; Keiki Takadama (GECCO, 2017)

Effect of parameter sharing for multimodal deep autoencoders. - Hayato Sasaki; Masaya Nakata; Fumiya Hamatsu; Tomoki Hamagami (SMC, 2017)

An Analysis of Rule Deletion Scheme in XCS on Reinforcement Learning Problem. - Masaya Nakata; Tomoki Hamagami (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Theoretical adaptation of multiple rule-generation in XCS. - Masaya Nakata; Will N. Browne; Tomoki Hamagami (GECCO, 2018)

Performance Oriented Block-Based Neural Network Model by Parallelized Neighbor's Communication. - Kundo Lee; Tomoki Hamagami (SMC, 2018)

Investigation about Control of False Positive Rate for Automatic Sperm Detection in Assisted Reproductive Technology. - Hayato Sasaki; Masaya Nakata; Mizuki Yamamoto; Teppei Takeshima; Yasushi Yumura; Tomoki Hamagami (SMC, 2018)

Block-Based Neural Network High Speed Optimization. - Kundo Lee; Tomoki Hamagami (IES, 2019)

An Improved Auto-encoder Based on 2-Level Prioritized Experience Replay for High Dimension Skewed Data. - Xin Li; Tomoki Hamagami (IES, 2019)

Structured Feature Derivation for Transfer Learning on Credit Scoring. - Koichi Iwai; Masanori Akiyoshi; Tomoki Hamagami (SMC, 2020)

Ordinal Regression Based on the Distributional Distance Between Labels. - Yoshiyuki Tajima; Tomoki Hamagami (SMC, 2021)

Reinforcement Learning for POMDP Environments Using State Representation with Reservoir Computing. - Kodai Yamashita; Tomoki Hamagami (J. Adv. Comput. Intell. Intell. Informatics, 2022)

Ordinal Regression Based on the Distributional Distance for Tabular Data. - Yoshiyuki Tajima; Tomoki Hamagami (IEICE Trans. Inf. Syst., 2023)

Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition. - Takuro Fujii; Hayato Nakagawa; Teppei Takeshima; Yasushi Yumura; Tomoki Hamagami (WACV, 2024)

Estimation of Multi-Expert Sperm Assessments Using Video Recognition Based Model Trained by EMD Loss. - Hayato Nakagawa; Takuro Fujii; Yasushi Yumura; Tomoki Hamagami (IEEE Access, 2024)

Latent Denoising Diffusion GAN: Faster Sampling, Higher Image Quality. - Luan Thanh Trinh; Tomoki Hamagami (IEEE Access, 2024)

3D Ship Hull Design Direct Optimization Using Generative Adversarial Network. - Luan Thanh Trinh; Tomoki Hamagami; Naoya Okamoto (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Test-time Adaptation for Regression by Subspace Alignment. - Kazuki Adachi; Shin'ya Yamaguchi; Atsutoshi Kumagai; Tomoki Hamagami (ICLR, 2025)

Sperm Detection and Tracking Model Using HDE Transformer With Spatio-Temporal Deformable Attention for Sperm Analysis Automation. - Shoui Kosuge; Tomoki Hamagami (IEEE Access, 2025)

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption. - Kazuki Adachi; Shin'ya Yamaguchi; Tomoki Hamagami (CoRR, 2025)