| Sampling and reconstruction in arbitrary measurement and approximation spaces associated with linear canonical transform J Shi, X Liu, L He, M Han, Q Li, N Zhang IEEE Transactions on Signal Processing 64 (24), 6379-6391, 2016 | 54 | 2016 |
| Novel fractional wavelet packet transform: theory, implementation, and applications J Shi, X Liu, W Xiang, M Han, Q Zhang IEEE Transactions on Signal Processing 68, 4041-4054, 2020 | 28 | 2020 |
| HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands M Han, SY Günay, G Schirner, T Padır, D Erdoğmuş Intelligent service robotics 13, 179-185, 2020 | 25 | 2020 |
| Disentangled adversarial autoencoder for subject-invariant physiological feature extraction M Han, O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş IEEE signal processing letters 27, 1565-1569, 2020 | 24 | 2020 |
| Multimodal fusion of emg and vision for human grasp intent inference in prosthetic hand control M Zandigohar, M Han, M Sharif, SY Günay, MP Furmanek, M Yarossi, ... Frontiers in Robotics and AI 11, 1312554, 2024 | 13 | 2024 |
| Uncertainty principles for discrete signals associated with the fractional Fourier and linear canonical transforms J Shi, M Han, N Zhang Signal, Image and Video Processing 10, 1519-1525, 2016 | 13 | 2016 |
| Universal physiological representation learning with soft-disentangled rateless autoencoders M Han, O Özdenizci, T Koike-Akino, Y Wang, D Erdoğmuş IEEE journal of biomedical and health informatics 25 (8), 2928-2937, 2021 | 11 | 2021 |
| From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels M Han, SY Günay, İ Yildiz, P Bonato, CD Onal, T Padir, G Schirner, ... Proceedings of the 12th ACM international conference on pervasive …, 2019 | 11 | 2019 |
| Towards creating a deployable grasp type probability estimator for a prosthetic hand M Zandigohar, M Han, D Erdoğmuş, G Schirner International Workshop on Design, Modeling, and Evaluation of Cyber Physical …, 2019 | 10 | 2019 |
| Disentangled Adversarial Transfer Learning for Physiological Biosignals M Han, O Ozdenizci, Y Wang, T Koike-Akino, D Erdogmus 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 6 | 2020 |
| Classifications of dynamic EMG in hand gesture and unsupervised grasp motion segmentation M Han, M Zandigohar, MP Furmanek, M Yarossi, G Schirner, D Erdoğmuş 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 5 | 2021 |
| Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement M Han, M Zandigohar, SY Günay, G Schirner, D Erdoğmuş Frontiers in Neuroscience 16, 849991, 2022 | 1 | 2022 |
| On Sampling of Bandlimited Graph Signals M Han, J Shi, Y Deng, W Song Machine Learning and Intelligent Communications: Second International …, 2018 | 1 | 2018 |
| Human Grasp Intent Inference and Multimodal Control in Prosthetic Hands M Han Northeastern University, 2021 | | 2021 |
| Uncertainty Principle of the Special Affine Fourier Transform for Discrete Signals M Han, J Shi, X Sha, M Jia, Q Li, N Zhang Communications, Signal Processing, and Systems: Proceedings of the 2017 …, 2019 | | 2019 |
