19 citations · 39 across the 5 of their papers we have counts for
5 papers
Adversarial Fine-tune with Dynamically Regulated Adversary
Pengyue Hou, Ming Zhou, Jie Han +2
Adversarial training is an effective method to boost model robustness to malicious, adversarial attacks. However, such improvement in model robustness often leads to a significant…
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting
Nastaran Gholizadeh, Petr Musilek
Electrical load prediction has become an integral part of power system operation. Deep learning models have found popularity for this purpose. However, to achieve a desired predict…
A Pub-Sub Architecture to Promote Blockchain Interoperability
Sara Ghaemi, Sara Rouhani, Rafael Belchior +3
The maturing of blockchain technology leads to heterogeneity, where multiple solutions specialize in a particular use case. While the development of different blockchain networks s…
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention
Elizaveta Kharlova, Daniel May, Petr Musilek
Rising penetration levels of (residential) photovoltaic (PV) power as distributed energy resource pose a number of challenges to the electricity infrastructure. High quality, gener…
Identification of Pleonastic It Using the Web
Yifan Li, Petr Musilek, Marek Reformat +1
In a significant minority of cases, certain pronouns, especially the pronoun it, can be used without referring to any specific entity. This phenomenon of pleonastic pronoun usage p…