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Toplam kayıt 28, listelenen: 21-28
Enhancing Nearest Centroid with Coverage Principle for Classification Problem
(Institute of Electrical and Electronics Engineers Inc., 2021)
Motivated by the network coverage of the
trans- mitter, this research proposes a novel coverage-based
method to improve the Nearest Centroid’s class prediction by
replacing the centroid with radius coverage as the ...
A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification
(Springer, 2023)
In this study, we consider the author verification problem as a binary
classification problem where the aim is to identify whether the two inputs belong to
the same author or not. For this task, we have used several ...
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 ...
A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems
(Springer, 2023)
The mechanism for reacting to the changes in an environ-
ment when detected is the key issue that distinguishes various algorithms
proposed for dynamic multi-objective optimization problems (DMOPs).
The severity of ...
What to predict from Twitter Data?
(IEEE, 2023)
In the last decade, Twitter data has become one
of the most valuable research sources for many areas including
health, marketing, security, and politics. Researchers prefer
Twitter data since it is completely public and ...
A Unified Framework for Multi-Language Sentiment Analysis
(IEEE, 2023)
The unified framework for multi-language
sentiment analysis is a vital aspect of understanding customer
opinions, emotions, and feedback. This paper presents a unified
framework to increase the performance of the ...
Classification of Fruit Images as Fresh and Rotten Using Convolutional Neural Networks
(IEEE, 2023)
Many fruits are produced all over the world, and the fruits produced are sent abroad and sold in a relatively short time in many countries. During the period between collection and sale, the fruits may undergo various types ...
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 ...