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   Articles with "similarity distance" as a keyword



A Method for Measuring Similarity or Distance of Molecular and Arbitrary Graphs Based on a Collection of Topological Indices

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recommendations! Published in 2025 at "Journal of Chemometrics"

DOI: 10.1002/cem.70047

Abstract: The comparison of graphs using various types of quantitative structural similarity or distance measures has an important place in many scientific disciplines. Two of these are cheminformatics and chemical graph theory, in which the structural… read more here.

Keywords: method; similarity distance; arbitrary graphs; graphs ... See more keywords

A comparative analysis of similarity distance measure functions for biocryptic authentication in cloud databases

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recommendations! Published in 2018 at "Cluster Computing"

DOI: 10.1007/s10586-017-1568-y

Abstract: Biometric recognition identifies an individual with the help of biological traits of humans like fingerprint, iris, voice etc. Estimation of similarity between the biometric images stored in cloud databases needs a closer attention due to… read more here.

Keywords: similarity; distance; cloud databases; similarity distance ... See more keywords

PCaLDI: Explainable Similarity and Distance Metrics Using Principal Component Analysis Loadings for Feature Importance

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3387547

Abstract: In the evolving landscape of interpretable machine learning (ML) and explainable artificial intelligence, transparent and comprehensible ML models are crucial for data-driven decision-making. Traditional approaches have limitations in distinguishing whether the observed importance of features… read more here.

Keywords: importance; similarity distance; pcaldi; distance metrics ... See more keywords

Deep Learning Algorithms with LIME and Similarity Distance Analysis on COVID-19 Chest X-ray Dataset

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recommendations! Published in 2023 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph20054330

Abstract: In the last few years, many types of research have been conducted on the most harmful pandemic, COVID-19. Machine learning approaches have been applied to investigate chest X-rays of COVID-19 patients in many respects. This… read more here.

Keywords: similarity; similarity distance; covid; analysis ... See more keywords