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Triplet MAML for Few-shot Classification Problems
(Springer, 2023)
In this study, we propose a TripletMAML algorithm as an extension to Model-Agnostic Meta-Learning (MAML) which is the most widely-used optimization-based meta-learning algorithm. We approach MAML from a metric-learning ...
Load Estimation of Different Types of Domestic Users Using Machine Learning Methods and Optimal Battery Sizing
(IEEE, 2023)
gained ever-increasing importance as the world population grows, set to reach 10 billion by 2050. The urgency for sustainable and nature-friendly energy production, as well as efficient consumption, parallels the rising ...