Suguru Kanoga

37 papers B 1C 1Misc 2Journal 15Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Kernel-Based Style Transfer Mapping for Cross-Subject Biological Signal Classification.
IEEE Access
Takayuki Hoshino, Suguru Kanoga, Atsushi Aoyama
2025 — conf
Comparison of Nine Deep Regressors in Continuous Blood Pressure Estimation Using Single-Channel Photoplethysmograms under the PulseDB.
SII
Takumi Yamamoto, Suguru Kanoga, Yuta Sugiura
2025 J jnl
Continual learning in inertial measurement unit-based human activity recognition with user-centric class-incremental learning scenario.
Expert Syst. Appl.
Suguru Kanoga, Yuya Tsukiji, Ryo Karakida
2024 C conf
A Recurrent Deep Learning-Based Monthly Deforestation Prediction Model in Eight Areas for Brazilian Amazon: A Pilot Study.
IGARSS
Suguru Kanoga, Takeshi Nomaguchi, Yusuke Kobayashi, Takayuki Hoshino, Chiaki Tsutsumi, Ryu Sugimoto, Toru Kouyama, Ryosuke Nakamura
2024 — conf
Channel- and Label-Flip Data Augmentation for Motor Imagery-Based Brain-Computer Interfaces.
EMBC
Takayuki Hoshino, Suguru Kanoga, Atsushi Aoyama
2024 J jnl
Comparison of fine-tuned single-source and multi-source approaches to surface electromyogram pattern recognition.
Biomed. Signal Process. Control.
Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama
2024 — conf
Deep Generative Replay-based Class-incremental Continual Learning in sEMG-based Pattern Recognition.
EMBC
Suguru Kanoga, Ryo Karakida, Takayuki Hoshino, Yuto Okawa, Mitsunori Tada
2024 J jnl
Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning.
IEEE Access
Yuto Okawa, Suguru Kanoga, Takayuki Hoshino, Shin-nosuke Ishikawa
2024 — conf
Nonlinear Dynamical System Identification Under External Disturbances by Maximum a Posteriori (MAP) Estimation for Robotics.
AMC
Daisuke Yanabe, Suguru Kanoga, Vincent Frémont, Toshiyuki Murakami
2024 J jnl
Unsupervised Neural Motion Retargeting for Humanoid Teleoperation.
CoRR
Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto
2023 J jnl
Comparison of seven shallow and deep regressors in continuous blood pressure and heart rate estimation using single-channel photoplethysmograms under three evaluation cases.
Biomed. Signal Process. Control.
Suguru Kanoga, Takayuki Hoshino, Satoshi Kamei, Takehito Kobayashi, Tsuguo Ohmori, Masaaki Uchiyama, Mitsunori Tada
2023 J jnl
Estimating Whole-Body Walking Motion from Inertial Measurement Units at Wrist and Heels Using Deep Learning.
Int. J. Autom. Technol.
Yuji Kumano, Suguru Kanoga, Masataka Yamamoto, Hiroshi Takemura, Mitsunori Tada
2023 — conf
The Effect of Muscle Artifact Reduction Methods on Few-channel SSVEPs during Head Movements.
EMBC
Norihisa Namura, Suguru Kanoga
2022 Misc conf
A Style Transfer Mapping and Fine-Tuning Subject Transfer Framework Using Convolutional Neural Networks for Surface Electromyogram Pattern Recognition.
ICASSP
Suguru Kanoga, Takayuki Hoshino, Mitsunori Tada
2022 J jnl
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers.
Neurocomputing
Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama
2022 — conf
Sequential Learning on sEMGs in Short- and Long-term Situations via Self-training Semi-supervised Support Vector Machine.
EMBC
Yuto Okawa, Suguru Kanoga, Takayuki Hoshino, Tohru Nitta
2022 J jnl
Subject-transfer framework with unlabeled data based on multiple distance measures for surface electromyogram pattern recognition.
Biomed. Signal Process. Control.
Suguru Kanoga, Takayuki Hoshino, Hideki Asoh
2021 J jnl
Semi-Supervised Learning for Auditory Event-Related Potential-Based Brain-Computer Interface.
IEEE Access
Mikito Ogino, Suguru Kanoga, Shin-Ichi Ito, Yasue Mitsukura
2021 J jnl
Semi-supervised style transfer mapping-based framework for sEMG-based pattern recognition with 1- or 2-DoF forearm motions.
Biomed. Signal Process. Control.
Suguru Kanoga, Takayuki Hoshino, Hideki Asoh
2021 — conf
Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping.
EMBC
Suguru Kanoga, Tomoumi Takase, Takayuki Hoshino, Hideki Asoh
2020 — conf
Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG Classification.
EMBC
Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama
2020 J jnl
Are armband sEMG devices dense enough for long-term use? - Sensor placement shifts cause significant reduction in recognition accuracy.
Biomed. Signal Process. Control.
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
2020 — conf
Deep Neural Networks for Grid-Based Elusive Crime Prediction Using a Private Dataset Obtained from Japanese Municipalities.
AHFE (13)
Suguru Kanoga, Naruki Kawai, Kota Takaoka
2020 — conf
Motor Imagery Classification of Finger Motions Using Multiclass CSP.
EMBC
Masaki Kato, Suguru Kanoga, Takayuki Hoshino, Tadanori Fukami
2020 Misc conf
Subject Transfer Framework Based on Source Selection and Semi-Supervised Style Transfer Mapping for Semg Pattern Recognition.
ICASSP
Suguru Kanoga, Takayuki Hoshino, Hideki Asoh
2019 J jnl
Corrigendum to "Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms" [Neurocomputing 347 (2019) 240-250].
Neurocomputing
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
2019 J jnl
Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms.
Neurocomputing
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
2018 — conf
A Comparative Study of Features and Classifiers in Single-Channel EEG-Based Motor Imagery BCI.
GlobalSIP
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
2018 B conf
A No-Reference Metric of Cerebral Blood Flow Extraction for fNIRS Data.
SMC
Takayuki Hoshino, Suguru Kanoga, Atsunori Kanemura, Takeshi Ogawa
2018 — conf
Assessing the effect of transfer learning on myoelectric control systems with three electrode positions.
ICIT
Suguru Kanoga, Atsunori Kanemura
2018 — conf
Semi-simulation Experiments for Quantifying the Performance of SSVEP-based BCI after Reducing Artifacts from Trapezius Muscles.
EMBC
Suguru Kanoga, Masaki Nakanishi, Akihiko Murai, Mitsunori Tada, Atsunori Kanemura
2018 — conf
Transfer Learning Over Time and Position in Wearable Myoelectric Control Systems.
EMBC
Suguru Kanoga, Masashi Matsuokal, Atsunori Kanemura
2017 — conf
Exploring optimal myoelectric feature indices for forearm control strategy using robust principal component analysis.
EMBC
Suguru Kanoga, Akihiko Murai, Mitsunori Tada
2016 J jnl
Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram.
Neurocomputing
Suguru Kanoga, Masaki Nakanishi, Yasue Mitsukura
2015 — conf
Eye blink artifact rejection in single-channel electroencephalographic signals by complete ensemble empirical mode decomposition and independent component analysis.
EMBC
Suguru Kanoga, Yasue Mitsukura
2015 — conf
ICA-based positive semidefinite matrix templates for eye-blink artifact removal from EEG signal with single-electrode.
ASCC
Suguru Kanoga, Yasue Mitsukura
2014 — conf
Proposed blink artifacts rejection method mixing with electroencephalographic recordings using single-channel electroencephalographic recordings and non-negative matrix factorization.
AMC
Suguru Kanoga, Yasue Mitsukura