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   Articles with "classification models" as a keyword



Reevaluating Corticosteroid Classification Models in Patient Patch Testing.

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recommendations! Published in 2022 at "JAMA dermatology"

DOI: 10.1001/jamadermatol.2022.3774

Abstract: Importance Individuals with allergic contact dermatitis to one topical corticosteroid may also react to other corticosteroids. Corticosteroid classification models have been proposed to predict such copositivity, recommend representative screening corticosteroids, and guide allergen avoidance. Objective… read more here.

Keywords: classification models; positivity; patch test; copositivity ... See more keywords
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Radiomics‐based classification models for HBV‐related cirrhotic patients with covert hepatic encephalopathy

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recommendations! Published in 2020 at "Brain and Behavior"

DOI: 10.1002/brb3.1970

Abstract: The significant abnormalities of precuneus (PC), which are associated with brain dysfunction, have been identified in cirrhotic patients with covert hepatic encephalopathy (CHE). The present study aimed to apply radiomics analysis to identify the significant… read more here.

Keywords: cirrhotic patients; covert hepatic; hepatic encephalopathy; patients covert ... See more keywords

Adversarial attacks on text classification models using layer‐wise relevance propagation

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recommendations! Published in 2020 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22260

Abstract: Due to the nested nonlinear structure inside neural networks, most existing deep learning models are treated as black boxes, and they are highly vulnerable to adversarial attacks. On the one hand, adversarial examples shed light… read more here.

Keywords: layer wise; text classification; adversarial attacks; classification models ... See more keywords

Comparing the performance of flat and hierarchical Habitat/Land-Cover classification models in a NATURA 2000 site

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recommendations! Published in 2018 at "Isprs Journal of Photogrammetry and Remote Sensing"

DOI: 10.1016/j.isprsjprs.2017.12.002

Abstract: Abstract The increasing need for high quality Habitat/Land-Cover (H/LC) maps has triggered considerable research into novel machine-learning based classification models. In many cases, H/LC classes follow pre‐defined hierarchical classification schemes (e.g., CORINE), in which fine… read more here.

Keywords: classification; habitat; model; classification models ... See more keywords

Development of Classification Models for Assessment of Endotracheal Intubation Training by a Cyber-Physical System

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recommendations! Published in 2019 at "Procedia Manufacturing"

DOI: 10.1016/j.promfg.2020.01.372

Abstract: Abstract Endotracheal intubation (ETI) is one of the most staple skills in prehospital medicine that is performed to prevent suffocation of an unconscious person. To evaluate ETI skills of medical practitioners, an effective and reliable… read more here.

Keywords: physical system; system; endotracheal intubation; cyber physical ... See more keywords

Integrating C-H Information to Improve Machine Learning Classification Models for Microplastic Identification from Raman Spectra.

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recommendations! Published in 2025 at "Analytical chemistry"

DOI: 10.1021/acs.analchem.4c05197

Abstract: Research has shown microplastic particles to be pervasive pollutants in the natural environment, but labor-intensive sample preparation, data acquisition, and analysis protocols continue to be necessary to navigate their diverse chemistry. Machine learning (ML) classification… read more here.

Keywords: classification; chemistry; classification models; learning classification ... See more keywords

QSAR Classification Models for Prediction of Hydroxamate Histone Deacetylase Inhibitor Activity against Malaria Parasites.

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recommendations! Published in 2022 at "ACS infectious diseases"

DOI: 10.1021/acsinfecdis.1c00355

Abstract: Malaria, caused by Plasmodium parasites, results in >400,000 deaths annually. There is no effective vaccine, and new drugs with novel modes of action are needed because of increasing parasite resistance to current antimalarials. Histone deacetylases… read more here.

Keywords: classification models; histone; models prediction; activity ... See more keywords
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ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3062763

Abstract: The learning of classification models to predict class labels of new and previously unseen data instances is one of the most essential tasks in data mining. A popular approach to classification is ensemble learning, where… read more here.

Keywords: classification models; classification; reg rules; rule based ... See more keywords

Semi-Supervised Learning for Estimation of a Speaker’s Intimacy Enhanced With Classification Models of Auxiliary Tasks

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3544600

Abstract: A dialog system is required to take a user’s intimacy into account to converse comfortably, since the appropriate style and content of a conversation between familiar people can be different from those between strangers. This… read more here.

Keywords: supervised learning; speaker; intimacy; classification models ... See more keywords

Adversarial Attacks on Time Series

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recommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2020.2986319

Abstract: Time series classification models have been garnering significant importance in the research community. However, not much research has been done on generating adversarial samples for these models. These adversarial samples can become a security concern.… read more here.

Keywords: series classification; time; time series; classification models ... See more keywords

Visual Analytics for Fine‐grained Text Classification Models and Datasets

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recommendations! Published in 2024 at "Computer Graphics Forum"

DOI: 10.1111/cgf.15098

Abstract: In natural language processing (NLP), text classification tasks are increasingly fine‐grained, as datasets are fragmented into a larger number of classes that are more difficult to differentiate from one another. As a consequence, the semantic… read more here.

Keywords: classification; text classification; fine grained; classification models ... See more keywords