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Search Space Sampling by Simulated Annealing for Identifying Robust Solutions in Course Timetabling
(Institute of Electrical and Electronics Engineers Inc., 2020)
For many combinatorial optimization problems, it
is important to identify solutions that can be repaired without
degrading solution quality in case changes in the data associated
with the constraints make the initial ...
Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation
(Springer, 2023)
Deep neural networks give successful results for segmentation of medical images. The need for optimizing many hyper-parameters
presents itself as a significant limitation hampering the effectiveness of
deep neural network ...
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 ...