| Few-Shot Learning-Based Human Activity Recognition S Feng, MF Duarte Expert Systems with Applications 138, 112782, 2019 | 43 | 2019 |
| Hyperspectral Band Selection from Statistical Wavelet Models S Feng, Y Itoh, M Parente, MF Duarte IEEE Transactions on Geoscience and Remote Sensing 55 (4), 2111-2123, 2017 | 36 | 2017 |
| Multi-participant multi-class vertical federated learning S Feng, H Yu arXiv preprint arXiv:2001.11154, 2020 | 32 | 2020 |
| Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation S Feng, MF Duarte Neurocomputing 312, 310-323, 2018 | 31 | 2018 |
| Autoencoder Based Sample Selection for Self-Taught Learning S Feng, H Yu, MF Duarte Knowledge-Based Systems 192, 105343, 2020 | 11 | 2020 |
| Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination S Feng, Y Itoh, M Parente, MF Duarte arXiv preprint arXiv:1602.03903, 2016 | 6 | 2016 |
| Universality of Wavelet-Based Non-Homogeneous Hidden Markov Chain Model Features for Hyperspectral Signatures S Feng, MF Duarte, M Parente Proceedings of IEEE Conference on Computer Vision and Pattern Recognition …, 2015 | 6 | 2015 |
| Tailoring Non-Homogeneous Markov Chain Wavelet Models for Hyperspectral Signature Classification S Feng, Y Itoh, M Parente, MF Duarte IEEE International Conference on Image Processing (ICIP), 5167-5171, 2014 | 5 | 2014 |
| Graph Autoencoder-Based Unsupervised Feature Selection S Feng, MF Duarte IEEE Asilomar Conference on Signals, Systems, and Computers, 2018 | 4* | 2018 |
| Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation Y Itoh, S Feng, MF Duarte, M Parente IEEE Transactions on Geoscience and Remote Sensing 55 (6), 3272-3286, 2017 | 4 | 2017 |
| Hyperspectral Unmixing via Semantic Spectral Representations Y Itoh, S Feng, MF Duarte, M Parente IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS …, 2014 | 4 | 2014 |
| Sparsity in Machine Learning: An Information Selecting Perspective S Feng University of Massachusetts Amherst, 2019 | 1 | 2019 |
| 一种自适应特征分块加权的图像检索方法 冯思为， 陈蕾， 王加俊 计算机技术与发展 24 (2), 2014 | 1 | 2014 |
| Federated Learning for Personalized Humor Recognition X Guo, H Yu, B Li, H Wang, P Xing, S Feng, Z Nie, C Miao ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-18, 2022 | | 2022 |
| Knockoff-Inspired Feature Selection via Generative Models MF Duarte, S Feng | | 2019 |
| Band Selection from Statistical Wavelet Models S Feng, Y Itoh, M Parente, MF Duarte IEEE/ISPRS Workshop on Hyperspectral Image and Signal Processing: Evolution …, 2016 | | 2016 |
| Wavelet-Based Non-Homogeneous Hidden Markov Chain Model For Hyperspectral Signature Classification S Feng University of Massachusetts Amherst, 2015 | | 2015 |
Marco F. DuarteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstBestätigte E-Mail-Adresse bei ecs.umass.edu
