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cs.LG2025★ 2 cited
Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data
Dimitrios Amaxilatis, Themistoklis Sarantakos, Ioannis Chatzigiannakis +1
In this work, we explore the application of recent data imputation techniques to enhance monitoring and management of water distribution networks using smart water meters, based on…
cs.LG2021★ 4 cited
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks
Erion-Vasilis Pikoulis, Christos Mavrokefalidis, Aris S. Lalos
Deep learning and especially the use of Deep Neural Networks (DNNs) provides impressive results in various regression and classification tasks. However, to achieve these results, t…