Titolo |
Pubblicato in |
Anno |
Audio Deepfake Detection: A Continual Approach with Feature Distillation and Dynamic Class Rebalancing |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
2025 |
HCN-TA: Hierarchical Capsule Network with Temporal Attention for a Generalizable Approach to Audio Deepfake Detection |
Proceedings of the 2023 International Conference on Communication, Signal Processing and Computer Engineering |
2025 |
Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches |
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING |
2024 |
Detecting audio deepfakes: integrating CNN and BiLSTM with multi-feature concatenation |
IH&MMSec '24: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security |
2024 |
ABC-CapsNet: Attention based Cascaded Capsule Network for Audio Deepfake Detection |
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
2024 |
Deepfakes Audio Detection Leveraging Audio Spectrogram and Convolutional Neural Networks |
Image Analysis and Processing – ICIAP 2023: 22nd International Conference, ICIAP 2023, Udine, Italy, September 11–15, 2023, Proceedings, Part II |
2023 |
Deepfakes Audio Detection Leveraging Audio Spectrogram and Convolutional Neural Networks |
Lecture Notes in Computer Science ((LNCS,volume 14234)) |
2023 |
Plant Disease Detection and Segmentation using End-to-End YOLOv8: A Comprehensive Approach |
IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) |
2023 |
A Comprehensive Review of Speech Emotion Recognition Systems |
IEEE ACCESS |
2021 |
Stride Based Convolutional Neural Network for Speech Emotion Recognition |
IEEE Xplore |
2021 |
Speech emotion recognition using convolution neural networks and deep stride convolutional neural networks |
IEEE Xplore |
2020 |