Tatsuhito Hasegawa

46 papers B 2C 2Misc 2Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Logical Anomaly Detection with Masked Image Modeling. Trans. Mach. Learn. Res. Shunsuke Sakai, Tatsuhito Hasegawa, Makoto Koshino
2026	J	`jnl`	Projection Mahjong: augmenting real-world Mahjong experience. Multim. Tools Appl. Takuya Kato, Tatsuhito Hasegawa
2025	J	`jnl`	Adversarial Perturbation for Sensor Data Anonymization: Balancing Privacy and Utility. Comput. Mater. Continua Tatsuhito Hasegawa, Kyosuke Fujino
2025	—	`conf`	An Accuracy Improvement Method by Sharing Attack Data in Federated Learning-Based NIDS. ICMU Asuka Okada, Tomoya Kawakami, Tatsuhito Hasegawa
2025	J	`jnl`	Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification. CoRR Tatsuhito Hasegawa, Shunsuke Sakai
2025	J	`jnl`	Analytical softmax temperature setting from feature dimensions for model- and domain-robust classification. Neural Comput. Appl. Tatsuhito Hasegawa, Kyosuke Fujino, Shunsuke Sakai
2025	J	`jnl`	Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation. CoRR Wenmin Li, Shunsuke Sakai, Tatsuhito Hasegawa
2025	J	`jnl`	Correction: Analytical softmax temperature setting from feature dimensions for model- and domain-robust classification. Neural Comput. Appl. Tatsuhito Hasegawa, Kyosuke Fujino, Shunsuke Sakai
2025	J	`jnl`	DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture. CoRR Xiangteng He, Shunsuke Sakai, Kun Yuan, Nicolas Padoy, Tatsuhito Hasegawa, Leonid Sigal
2025	J	`jnl`	Dataset Construction and Effectiveness Evaluation of Spoken-Emotion Recognition for Human Machine Interaction. IEEE Access Mitsuki Okayama, Tatsuhito Hasegawa
2025	J	`jnl`	Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection. CoRR Shunsuke Sakai, Shunsuke Tsuge, Tatsuhito Hasegawa
2025	J	`jnl`	Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation. CoRR Shunsuke Sakai, Tatsuhito Hasegawa
2024	—	`conf`	Background and Visual Feature-Aware Data Augmentation for FGIR via Image Generation. GCCE Takuya Kato, Shion Serizawa, Mitsuki Okayama, Yuta Nakano, Tatsuhito Hasegawa
2024	—	`conf`	Data Augmentation using Foundation model for Fine-grained Fish Species Identification. GCCE Tatsuhito Hasegawa, Yuta Nakano
2024	—	`conf`	Estimation of Meal Residues Using Foundation Models. GCCE Hideaki Masumoto, Tatsuhito Hasegawa, Atsuharu Horiuchi, Yuta Nakano, Kaisei Wada, Junko Yotsuya
2024	J	`jnl`	Expanding the Horizons of 1-D Tasks: Leveraging 2-D Convolutional Neural Networks Pretrained by ImageNet. IEEE Internet Things J. Zhongkai Zhao, Koki Takenaka, Tatsuhito Hasegawa
2024	—	`conf`	Human Activity Recognition Model Capable of Handling Various Input Waveforms. ICONIP (11) Tatsuhito Hasegawa
2024	—	`conf`	Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection. ICONIP (1) Shunsuke Sakai, Shunsuke Tsuge, Tatsuhito Hasegawa
2023	J	`jnl`	Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition. IEEE Internet Things J. Tatsuhito Hasegawa, Kazuma Kondo
2023	J	`jnl`	Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition. Sensors Koki Takenaka, Kei Kondo, Tatsuhito Hasegawa
2023	J	`jnl`	Sensor-Based Activity Recognition Using Frequency Band Enhancement Filters and Model Ensembles. Sensors Hyuga Tsutsumi, Kei Kondo, Koki Takenaka, Tatsuhito Hasegawa
2022	J	`jnl`	A Comparative Study: Toward an Effective Convolutional Neural Network Architecture for Sensor-Based Human Activity Recognition. IEEE Access Zhongkai Zhao, Satoshi Kobayashi, Kazuma Kondo, Tatsuhito Hasegawa, Makoto Koshino
2022	Misc	`conf`	Domain-Robust Pre-Training Method for the Sensor-Based Human Activity Recognition. ICMLC Zhongkai Zhao, Tatsuhito Hasegawa
2022	J	`jnl`	Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition. CoRR Tatsuhito Hasegawa, Kazuma Kondo
2022	Misc	`conf`	Unsupervised Representation Learning Method In Sensor Based Human Activity Recognition. ICMLC Koki Takenaka, Tatsuhito Hasegawa
2021	J	`jnl`	Detection of Motion on a Trampoline with a Smartwatch. Sensors Satoshi Kobayashi, Tatsuhito Hasegawa
2021	—	`conf`	Effects of Different Activities on Learning Efficiency of m-Learning Users. TALE Mahiro Imabeppu, Tatsuhito Hasegawa
2021	J	`jnl`	Octave Mix: Data Augmentation Using Frequency Decomposition for Activity Recognition. IEEE Access Tatsuhito Hasegawa
2021	J	`jnl`	Octave Mix: Data augmentation using frequency decomposition for activity recognition. CoRR Tatsuhito Hasegawa
2021	J	`jnl`	Sensor-Based Human Activity Recognition Using Adaptive Class Hierarchy. Sensors Kazuma Kondo, Tatsuhito Hasegawa
2021	J	`jnl`	Smartphone Sensor-based Human Activity Recognition Robust to Different Sampling Rates. CoRR Tatsuhito Hasegawa
2020	—	`conf`	CNN-based Criteria for Classifying Artists by Illustration Style. IVSP Kazuma Kondo, Tatsuhito Hasegawa
2020	—	`conf`	Fish Species Identification Using a CNN-based Multimodal Learning Method. IVSP Hanano Masuda, Takahiro Jukei, Tatsuhito Hasegawa
2019	J	`jnl`	Automatic Electron Density Determination by Using a Convolutional Neural Network. IEEE Access Tatsuhito Hasegawa, Shoya Matsuda, Atsushi Kumamoto, Fuminori Tsuchiya, Yoshiya Kasahara, Yoshizumi Miyoshi, Yasumasa Kasaba, Ayako Matsuoka, Iku Shinohara
2019	—	`conf`	Deep Metric Learning for Sensor-based Human Activity Recognition. ICIT Makoto Mizuno, Tatsuhito Hasegawa
2019	—	`conf`	Estimation of Sidewalk Surface Type with a Smartphone. ICIT Satoshi Kobayashi, Ren Katsurada, Tatsuhito Hasegawa
2019	—	`conf`	Finger Recognition Using a Wearable Device while Typing. CIIS Daisuke Hamazaki, Tatsuhito Hasegawa
2019	—	`conf`	Interaction to Support the Learning of Typing for Beginners on Physical Keyboard by Projection Mapping. ICIT Chikako Sono, Tatsuhito Hasegawa
2019	—	`conf`	Representation Learning by Convolutional Neural Network for Smartphone Sensor Based Activity Recognition. CIIS Tatsuhito Hasegawa, Makoto Koshino
2019	J	`jnl`	Touch-Typing Detection Using Eyewear: Toward Realizing a New Interaction for Typing Applications. Sensors Tatsuhito Hasegawa, Tatsuya Hatakenaka
2018	C	`conf`	Estimation of Road Snow Accumulation Using Smartphones to Create Snow Cover Maps for Pedestrians. TENCON Ren Katsurada, Tatsuhito Hasegawa
2018	B	`conf`	Touch-Typing Skills Estimation Using Eyewear. SMC Tatsuhito Hasegawa, Tatsuya Hatakenaka
2017	J	`jnl`	Determining Smartphone's Placement Through Material Detection, Using Multiple Features Produced in Sound Echoes. IEEE Access Tatsuhito Hasegawa, Satoshi Hirahashi, Makoto Koshino
2016	C	`conf`	Determining a smartphone's placement by material detection using harmonics produced in sound echoes. MobiQuitous Tatsuhito Hasegawa, Satoshi Hirahashi, Makoto Koshino
2015	B	`conf`	Analysis of Actual Smartphone Logs for Predicting the User's Routine Settings of Application Volume. SMC Tatsuhito Hasegawa, Makoto Koshino, Haruhiko Kimura
2015	—	`conf`	State magic: state estimation for Android smartphone. UbiComp/ISWC Adjunct Tatsuhito Hasegawa, Makoto Koshino, Satoshi Hirahashi, Haruhiko Kimura