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   Articles with "interpretability" as a keyword



Enhanced Interpretability in Breast Cancer Detection: Combining Grad‐CAM With Selective Layer Freezing in Deep Learning

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recommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70151

Abstract: This study aims to develop a novel deep learning‐based approach that integrates selective layer freezing, cyclic learning rate scheduling, and Grad‐CAM visualization to address the challenges of class imbalance, limited interpretability, and adaptability in breast… read more here.

Keywords: breast cancer; grad cam; interpretability; layer freezing ... See more keywords

The interpretability of the activity signal detection model for wood-boring pests Semanotus bifasciatus in the larval stage.

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recommendations! Published in 2023 at "Pest management science"

DOI: 10.1002/ps.7566

Abstract: BACKGROUND The acoustic detection model of activity signals based on deep learning could detect wood-boring pests accurately and reliably. However, the black-box characteristics of the deep learning model limited the credibility of the results and… read more here.

Keywords: interpretability; activity; model; detection model ... See more keywords

Multi-objective optimization of virtual machine migration among cloud data centers

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recommendations! Published in 2024 at "Soft Computing"

DOI: 10.1007/s00500-024-09950-2

Abstract: Workload migration among cloud data centers is currently an evolving task that requires substantial advancements. The incorporation of fuzzy systems holds potential for enhancing performance and efficiency within cloud computing. This study addresses a multi-objective… read more here.

Keywords: multi objective; system; migration; data centers ... See more keywords

A critical moment in machine learning in medicine: on reproducible and interpretable learning

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recommendations! Published in 2024 at "Acta Neurochirurgica"

DOI: 10.1007/s00701-024-05892-8

Abstract: Over the past two decades, advances in computational power and data availability combined with increased accessibility to pre-trained models have led to an exponential rise in machine learning (ML) publications. While ML may have the… read more here.

Keywords: critical moment; interpretability; machine learning; medicine ... See more keywords

An integrated interpretation and clustering model based on attribute grouping

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recommendations! Published in 2025 at "Applied Intelligence"

DOI: 10.1007/s10489-025-06262-2

Abstract: Clustering is a technique in unsupervised learning used to group unlabeled data. However, traditional clustering algorithms cannot provide explanations for the clustering process and its results, which limits their applicability in certain fields. Existing methods… read more here.

Keywords: clustering model; interpretability; clustering process; interpretation clustering ... See more keywords

Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data

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recommendations! Published in 2025 at "Machine Learning"

DOI: 10.1007/s10994-025-06834-w

Abstract: Deep neural networks are increasingly employed in high-stakes medical applications, despite their tendency for shortcut learning in the presence of spurious correlations, which can have potentially fatal consequences in practice. Whereas a multitude of works… read more here.

Keywords: detection mitigation; interpretability; mitigation; behavior ... See more keywords

Gaining Brain Insights by Tapping into the Black Box: Linking Structural MRI Features to Age and Cognition using Shapley-Based Interpretation Methods

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recommendations! Published in 2025 at "Neuroinformatics"

DOI: 10.1007/s12021-025-09737-2

Abstract: Global interpretability in machine learning holds great potential for extracting meaningful insights from neuroimaging data to improve our understanding of brain function. Although various approaches exist to identify key contributing features at both local and… read more here.

Keywords: age; brain; interpretability; brain function ... See more keywords
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Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit

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recommendations! Published in 2021 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2021.103876

Abstract: Interpretability is fundamental in healthcare problems and the lack of it in deep learning models is currently the major barrier in the usage of such powerful algorithms in the field. The study describes the implementation… read more here.

Keywords: learning models; patients admitted; deep learning; attention ... See more keywords

An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities

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recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.04.065

Abstract: Abstract This paper proposes a hybrid architecture based on neural networks, fuzzy systems, and n-uninorms for solving pattern classification problems, termed as ENFS-Uni0 (short for evolving neuro-fuzzy system based on uni-nullneurons). The model can produce… read more here.

Keywords: neuro fuzzy; fuzzy system; uni nullneurons; system based ... See more keywords

Imparting interpretability to word embeddings while preserving semantic structure

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recommendations! Published in 2020 at "Natural Language Engineering"

DOI: 10.1017/s1351324920000315

Abstract: Abstract As a ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representation. They capture semantic and syntactic relations among words, but the… read more here.

Keywords: imparting interpretability; interpretability word; embeddings preserving; interpretability ... See more keywords

Hierarchical Graph Attention Network with Positive and Negative Attentions for Improved Interpretability: ISA-PN

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recommendations! Published in 2024 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.4c01035

Abstract: With the advancement of deep learning (DL) methods in chemistry and materials science, the interpretability of DL models has become a critical issue in elucidating quantitative (molecular) structure-property relationships. Although attention mechanisms have been generally… read more here.

Keywords: positive negative; molecular substructures; attention; interpretability ... See more keywords