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ORTPiece: An ORT-based Turkish image captioning network based on transformers and WordPiece
(IEEE, 2023)
Recent transformers-based systems are advancing image captioning applications. However, those works have been mainly applied to English-based image captioning problems. In this paper, we introduce a transformers-based ...
Performance analysis of meta-learning based bayesian deep kernel transfer methods for regression tasks
(IEEE, 2023)
Meta-learning aims to apply existing models on new tasks where the goal is 'learning to learn' so that learning from a limited amount of labeled data or learning in a short amount of time is possible. Deep Kernel Transfer ...
Comparative study of credit risk evaluation for unbalanced datasets using deep learning classifiers
(IEEE, 2023)
Credit risk assessment deals with calculating the risk of a loan not being repaid. For this reason, a lot of research effort is directed at credit risk analysis. In this study, machine learning models such as Light ...
Swin transformer based siamese network for thermal and optical image registration
(IEEE, 2023)
The process of multi-modal image registration is fundamental in remote sensing and visual navigation applications. However, existing image registration methods that are designed for single modality images do not provide ...
Coevolution index: A metric for tracking evolutionary coupling
(IEEE, 2023)
This paper proposes a new metric, namely the coevolution index (CEI), for measuring the relative evolutionary coupling of modules of a software system. CEI is inspired by the h-index, which is a popular metric used for ...
CheckMate: English grammatical error correction for native Turkish speakers
(IEEE, 2023)
The covid-19 outbreak left many countries have no choice but turn to online education. Turkish students, who were among those who were affected, faced difficulties in improving their English as the opportunity to have ...
Deep multi-object symbol learning with self-attention based predictors
(IEEE, 2023)
This paper proposes an architecture that can learn symbolic representations from the continuous sensorimotor experience of a robot interacting with a varying number of objects. Unlike previous works, this work aims to ...
A longitudinal case study on Nexus transformation: Impact on productivity, quality, and motivation
(Wiley, 2023-09)
There have been success stories reported regarding the adoption of agile software development methods in the industry. There also exist observations on their limitations. One of these limitations is scalability since agile ...
Lane type classification & distance measurement system for autonomous vehicle
(IEEE, 2023)
In this paper, lane type classification and lane distance measurement system are proposed for autonomous vehicles. In the proposed system, the perspective transformation method is applied to the image taken from the vehicle ...
Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement
(Springer, 2023-02)
Despite their achievements in object recognition, Convolutional Neural Networks (CNNs) particularly fail to generalize to unseen viewpoints of a learned object even with substantial samples. On the other hand, recently ...
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