| A novel application of deep learning for single-lead ECG classification SM Mathews, C Kambhamettu, KE Barner Computers in biology and medicine 99, 53-62, 2018 | 325 | 2018 |
| Explainable Artificial Intelligence Applications in NLP, Biomedical, and Malware Classification: A Literature Review SM Mathews Intelligent Computing-Proceedings of the Computing Conference, 1269-1292, 2019 | 185 | 2019 |
| Detecting ransomware K Mehta, SM Mathews, CD Woodward, CR Fralick, JB King US Patent 10,795,994, 2020 | 38 | 2020 |
| Model development and application to identify and halt malware CR Fralick, J King, CD Woodward, AV Holtzmann, K Mehta, SM Mathews US Patent 10,956,568, 2021 | 34 | 2021 |
| Leveraging a discriminative dictionary learning algorithm for single-lead ECG classification SM Mathews, LF Polanía, KE Barner Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast, 1-2, 2015 | 26 | 2015 |
| Dictionary and deep learning algorithms with applications to remote health monitoring systems SM Mathews University of Delaware, 2017 | 22 | 2017 |
| Maximum correntropy based dictionary learning framework for physical activity recognition using wearable sensors SM Mathews, C Kambhamettu, KE Barner Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las …, 2016 | 18 | 2016 |
| Centralized class specific dictionary learning for wearable sensors based physical activity recognition SM Mathews, C Kambhamettu, KE Barner 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017 | 15 | 2017 |
| An explainable deepfake detection framework on a novel unconstrained dataset S Mathews, S Trivedi, A House, S Povolny, C Fralick Complex & Intelligent Systems 9 (4), 4425-4437, 2023 | 8 | 2023 |
| Methods and apparatus to improve deepfake detection with explainability SM Mathews, S Trivedi, A House, CR Fralick, S Povolny, S Grobman US Patent App. 16/586,885, 2021 | 8 | 2021 |
| Methods and apparatus to improve detection of malware based on ecosystem specific data A More, C Fralick, A House, S Mathews US Patent 11,599,635, 2023 | 7 | 2023 |
| Methods, systems and apparatus to mitigate steganography-based malware attacks G Lancioni, S Mathews, F Ruiz, C Woodward US Patent 10,721,248, 2020 | 7 | 2020 |
| Methods and apparatus to detect deepfake content U Verma, SM Mathews, A House, C Woodward, C Fralick, J King US Patent 11,727,721, 2023 | 6 | 2023 |
| Detecting ransomware K Mehta, SM Mathews, CD Woodward, CR Fralick, JB King US Patent 11,392,695, 2022 | 6 | 2022 |
| Federated learning: Balancing the thin line between data intelligence and privacy SM Mathews, SA Assefa arXiv preprint arXiv:2204.13697, 2022 | 6 | 2022 |
| “Am I your sibling?” Inferring kinship cues from facial image pairs SM Mathews, C Kambhamettu, KE Barner 2015 49th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2015 | 6 | 2015 |
| Methods and apparatus to defend against adversarial machine learning SM Mathews, CR Fralick US Patent 11,568,049, 2023 | 5 | 2023 |
| Methods, systems, and media for detecting anomalous network activity SM Mathews, V Shaj, S Seetharamaiah, CD Woodward, KV Kumar US Patent 11,005,868, 2021 | 5 | 2021 |
| Distribution of neural networks with blockchains A House, CR Fralick, E Wuehler, S Mathews US Patent 11,562,254, 2023 | 2 | 2023 |
| Methods and apparatus to perform deepfake detection using audio and video features SM Mathews US Patent App. 17/183,323, 2022 | 1 | 2022 |
Kenneth E. BarnerCharles B Evans Professor, Electrical and Computer Engineering, University of Delaware在 udel.edu 的电子邮件经过验证
