2 papers
cs.LG2025
Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data
Dumindu Tissera, Omar Awadallah, Muhammad Umair Danish +2
Multi-label Classification (MLC) assigns an instance to one or more non-exclusive classes. A challenge arises when the dataset contains a large proportion of instances with no assi…
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…