Tomoki Hamagami

41 papers A* 1A 3B 13C 2Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ConStruct-LDM: Conditional Latent Diffusion Model for Structured Design. IEEE Access Kenshiro Arata, Ichiro Amaya, Naoya Okamoto, Tomoki Hamagami
2025	J	`jnl`	Sperm Detection and Tracking Model Using HDE Transformer With Spatio-Temporal Deformable Attention for Sperm Analysis Automation. IEEE Access Shoui Kosuge, Tomoki Hamagami
2025	A*	`conf`	Test-time Adaptation for Regression by Subspace Alignment. ICLR Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami
2025	J	`jnl`	Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption. CoRR Kazuki Adachi, Shin'ya Yamaguchi, Tomoki Hamagami
2024	J	`jnl`	3D Ship Hull Design Direct Optimization Using Generative Adversarial Network. J. Adv. Comput. Intell. Intell. Informatics Luan Thanh Trinh, Tomoki Hamagami, Naoya Okamoto
2024	A	`conf`	Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition. WACV Takuro Fujii, Hayato Nakagawa, Teppei Takeshima, Yasushi Yumura, Tomoki Hamagami
2024	J	`jnl`	Estimation of Multi-Expert Sperm Assessments Using Video Recognition Based Model Trained by EMD Loss. IEEE Access Hayato Nakagawa, Takuro Fujii, Yasushi Yumura, Tomoki Hamagami
2024	J	`jnl`	Latent Denoising Diffusion GAN: Faster Sampling, Higher Image Quality. IEEE Access Luan Thanh Trinh, Tomoki Hamagami
2024	J	`jnl`	Latent Denoising Diffusion GAN: Faster sampling, Higher image quality. CoRR Luan Thanh Trinh, Tomoki Hamagami
2024	J	`jnl`	Test-time Adaptation for Regression by Subspace Alignment. CoRR Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami
2023	J	`jnl`	Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition. CoRR Takuro Fujii, Hayato Nakagawa, Teppei Takeshima, Yasushi Yumura, Tomoki Hamagami
2023	J	`jnl`	Ordinal Regression Based on the Distributional Distance for Tabular Data. IEICE Trans. Inf. Syst. Yoshiyuki Tajima, Tomoki Hamagami
2022	J	`jnl`	Reinforcement Learning for POMDP Environments Using State Representation with Reservoir Computing. J. Adv. Comput. Intell. Intell. Informatics Kodai Yamashita, Tomoki Hamagami
2021	B	`conf`	Ordinal Regression Based on the Distributional Distance Between Labels. SMC Yoshiyuki Tajima, Tomoki Hamagami
2020	B	`conf`	Structured Feature Derivation for Transfer Learning on Credit Scoring. SMC Koichi Iwai, Masanori Akiyoshi, Tomoki Hamagami
2019	C	`conf`	An Improved Auto-encoder Based on 2-Level Prioritized Experience Replay for High Dimension Skewed Data. IES Xin Li, Tomoki Hamagami
2019	C	`conf`	Block-Based Neural Network High Speed Optimization. IES Kundo Lee, Tomoki Hamagami
2018	B	`conf`	Investigation about Control of False Positive Rate for Automatic Sperm Detection in Assisted Reproductive Technology. SMC Hayato Sasaki, Masaya Nakata, Mizuki Yamamoto, Teppei Takeshima, Yasushi Yumura, Tomoki Hamagami
2018	B	`conf`	Performance Oriented Block-Based Neural Network Model by Parallelized Neighbor's Communication. SMC Kundo Lee, Tomoki Hamagami
2018	A	`conf`	Theoretical adaptation of multiple rule-generation in XCS. GECCO Masaya Nakata, Will N. Browne, Tomoki Hamagami
2017	J	`jnl`	An Analysis of Rule Deletion Scheme in XCS on Reinforcement Learning Problem. J. Adv. Comput. Intell. Intell. Informatics Masaya Nakata, Tomoki Hamagami
2017	B	`conf`	Effect of parameter sharing for multimodal deep autoencoders. SMC Hayato Sasaki, Masaya Nakata, Fumiya Hamatsu, Tomoki Hamagami
2017	A	`conf`	Theoretical XCS parameter settings of learning accurate classifiers. GECCO Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama
2014	B	`conf`	Context awareness by unit-type evolutionary Petri net for team medical care support. SMC Takuo Suzuki, Tomoki Hamagami
2012	J	`jnl`	A Method for Classifying Packets into Network Flows Based on GHSOM. Mob. Networks Appl. Hongbo Shi, Tomoki Hamagami, Haoyuan Xu, Ping Yu, Yonghe Wu
2012	—	`conf`	A Software Quality Evaluation Method Using the Change of Source Code Metrics. ISSRE Workshops Mitsuhiro Nakamura, Tomoki Hamagami
2011	—	`conf`	Machine Learning Based Autonomous Network Flow Identifying Method. WICON Hongbo Shi, Tomoki Hamagami, Haoyuan Xu
2010	B	`conf`	Complex-valued reinforcement learning with hierarchical architecture. SMC Atsuhiro Yamazaki, Tomoki Hamagami, Takeshi Shibuya
2010	B	`conf`	Reinforcement learning in continuous state space with perceptual aliasing by using complex-valued RBF network. SMC Takeshi Shibuya, Hideaki Arita, Tomoki Hamagami
2009	—	`conf`	Cross-Layer Routing Method for the SCTP with Multihoming MIPv6. AccessNets Hongbo Shi, Tomoki Hamagami
2007	B	`conf`	A new genetic algorithm with diploid chromosomes by using probability decoding for non-stationary function optimization. SMC Manabu Kominami, Tomoki Hamagami
2007	B	`conf`	Experimental study of the eligibility traces in complex valued reinforcement learning. SMC Takeshi Shibuya, Shingo Shimada, Tomoki Hamagami
2006	B	`conf`	Complex-Valued Reinforcement Learning. SMC Tomoki Hamagami, Takeshi Shibuya, Shingo Shimada
2005	B	`conf`	State space partitioning and clustering with sensor alignment for autonomous robots. SMC Tomoki Hamagami, Hironori Hirata
2004	—	`conf`	Development of intelligent wheelchair acquiring autonomous, cooperative, and collaborative behavior. SMC (4) Tomoki Hamagami, Hironori Hirata
2003	B	`conf`	An adjustment method of the number of states of Q-learning segmenting state space adaptively. SMC Tomoki Hamagami, Hironori Hirata
2003	—	`conf`	Method of crowd simulation by using multiagent on cellular automata. IAT Tomoki Hamagami, Hironori Hirata
1996	—	`conf`	A method for estimating prosodic symbol from text for Japanese text-to-speech synthesis. ICSLP Ken-ichi Magata, Tomoki Hamagami, Mitsuo Komura
1996	—	`conf`	A study on Japanese prosodic pattern and its modeling in restricted speech. ICSLP Tomoki Hamagami, Ken-ichi Magata, Mitsuo Komura
1990	—	`conf`	A new synthesizer model for high quality synthetic speech. SSW Tomoki Hamagami, Shinichiro Hashimoto
1990	—	`conf`	The improved source model for high-quality synthetic speech sound. ICSLP Tomoki Hamagami, Shinichiro Hashimoto