Browsing AURA by Author "Celik, Turgay"
Now showing items 1-6 of 6
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Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies
Moghimi, Armin; Mohammadzadeh, Ali; Celik, Turgay; Brisco, Brian; Amani, Meisam (Peer reviewed; Journal article, 2022)Relative radiometric normalization (RRN) is important for pre-processing and analyzing multitemporal remote sensing (RS) images. Multitemporal RS images usually include different land use/land cover (LULC) types; therefore, ... -
CArDIS: A Swedish Historical Handwritten Character and Word Dataset
Yavariabdi, Amir; Kusetogullari, Huseyin; Celik, Turgay; Thummanapally, Shivani; Rijwan, Sakib; Hall, Johan (Peer reviewed; Journal article, 2022)This paper introduces a new publicly available image-based Swedish historical handwritten character and word dataset named C haracter Ar kiv D igital S weden (CArDIS) ( https://cardisdataset.github.io/CARDIS/ ). The samples ... -
Model-Agnostic Counterfactual Explanations in Credit Scoring
Dastile, Xolani; Celik, Turgay; Vandierendonck, Hans (Peer reviewed; Journal article, 2022) -
Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape
Mabokela, Koena Ronny; Celik, Turgay; Raborife, Mpho (Peer reviewed; Journal article, 2022)Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English). ... -
Open-Source Face Recognition Frameworks: A Review of the Landscape
Wanyonyi, David; Celik, Turgay (Peer reviewed; Journal article, 2022) -
Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review
Essa, Saadia Gutta; Celik, Turgay; Human-Hendricks, Nadia Emelia (Peer reviewed; Journal article, 2023)Artificial intelligence (AI) approaches have been used in personalised adaptive education systems to overcome the limitations of statically determined learning styles (LSs). These approaches utilise algorithms from machine ...