2 papers
cs.SD2025
Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform
Yohannis Telila, Tommaso Cucinotta, Davide Bacciu
Automatic music transcription (AMT) is the problem of analyzing an audio recording of a musical piece and detecting notes that are being played. AMT is a challenging problem, parti…
cs.LG2025
Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks
Yohannis Kifle Telila, Damitha Senevirathne, Dumindu Tissera +3
Anomaly detection is crucial in the energy sector to identify irregular patterns indicating equipment failures, energy theft, or other issues. Machine learning techniques for anoma…