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Articles by Lawrence ND
Uncertainty-aware music genre classification using evidential deep learning
Music plays a pivotal role in the life of a man, for it acts as a stress-buster in many situations by eliminating negative emotions like sadness and fostering a positive mindset, thereby improving the overall well-being (Prabhakar & Lee, 2023). Music has various forms of expression and is known for its capability to bring people together, regardless of their religion or caste (Nair et al., 2021). The music industry is one of the profitable industries across the globe.
Prompt-guided synthetic data generation to mitigate domain shift in periapical lesion detection
Prompt-guided synthetic data generation to mitigate domain shift in periapical lesion detection 1Department of Pedodontics, İstanbul Medeniyet University, İstanbul, Turkey 2Department of Prosthodontics, Kafkas University, Kars, Turkey 3Department of Electrical and Electronics Engineering, Kafkas University, Kars, Turkey 4Department of Electrical and Electronics Engineering, Gazi University, Ankara, Turkey 5Department of Oral and Maxillofacial Surgery, Karamanoglu Mehmetbey University,...
Aligning to the teacher: multilevel feature-aligned knowledge distillation
Deep neural networks (DNNs) have made significant progress in the field of computer vision image recognition, but deep neural networks have a large number of parameters and are difficult to deploy; this often leads to considerable overhead in both storage and computation.
Comprehensive analysis of clustering algorithms: exploring limitations and innovative solutions
Clustering algorithms constitute a fundamental component of unsupervised machine learning, facilitating the discovery of hidden patterns and structures within unlabeled datasets. These algorithms partition data points into distinct groups or clusters based on their inherent similarities, ensuring that points within a cluster are more similar to each other than to those in other clusters.
Deep learning-based information retrieval with normalized dominant feature subset and weighted vector model
The goal of data retrieval is to discover the most relevant item in a data library based on a query. Cross-domain retrieval, particularly across picture and text domains, has recently gained in importance due to recent efforts. Generally speaking, there are two ways to approach the problem of image-text retrieval (Guo et al., 2015). There are a number of ways to evaluate visual-semantic embeddings, one of which is to match images to sentences or the other way around.
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