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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 ...
An inverse synthesis method for the determination of effective mechanical properties for additively manufactured aperiodic structures with finite thickness
(IEEE, 2023)
The production of thin-walled structures via Additive Manufacturing is common for thermo-mechanical applications such as heat exchanger cores. However, accurate and efficient models predicting the effective material response ...
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 ...
Introduction to the special issue
(Taylor & Francis, 2023-10-02)
N/A
From grassroots to international markets: A qualitative study of marginalized entrepreneurs in India
(Elsevier, 2023-10)
Much of the growing literature on international entrepreneurship focuses on how positive circumstances, such as having prior international experience, business networks, or formal institutions lead to international ...
Data fusion analysis and synthesis framework for improving disaster situation awareness
(MDPI, 2023-09)
To carry out required aid operations efficiently and effectively after an occurrence of a disaster such as an earthquake, emergency control centers must determine the effect of disasters precisely and and in a timely manner. ...
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