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Toplam kayıt 29, listelenen: 21-29
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 ...
BaDENAS: Retina Damar Segmentasyonu için Bayes Tabanlı Sinir Mimarisi Arama
(IEEE, 2023)
Retinal damar segmentasyonu, retinal görüntülerin analizi için önemli bir görevdir ve göz hastalıklarının teşhisinde ve tedavisinde kullanılan etkili bir araçtır. Damar segmentasyonunu otomatik hale getiren U-Net gibi derin ...
Hücre Canlılığı Tespitinde Yapay Öğrenme Yaklaşımları
(IEEE, 2023)
Hücre canlılığı, kök hücre tedavileri, kanser tedavileri, estetik ve kozmetik gibi klinik araştırmalarda önemli yer tutmaktadır. Doğru tedavi ve yaklaşımın uygulanabilmesi için alınan örnekteki toplam hücre canlılık oranı ...
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 ...