Label similarity-based weighted soft majority voting and pairing for crowdsourcing
Sign Up to like & getrecommendations! Published in 2020 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-020-01475-y
Abstract: Crowdsourcing services provide an efficient and relatively inexpensive approach to obtain substantial amounts of labeled data by employing crowd workers. It is obvious that the labeling qualities of crowd workers directly affect the quality of… read more here.
Keywords: similarity based; quality; label similarity; different instances ... See more keywords
SPINEX-clustering: similarity-based predictions with explainable neighbors exploration for clustering problems
Sign Up to like & getrecommendations! Published in 2024 at "Cluster Computing"
DOI: 10.1007/s10586-024-04981-8
Abstract: We present a novel clustering algorithm from the SPINEX (Similarity-based Predictions with explaInable Neighbors EXploration) algorithmic family. The newly proposed clustering variant leverages the concept of similarity and higher-order interactions across multiple subspaces to group… read more here.
Keywords: predictions explainable; neighbors exploration; similarity based; explainable neighbors ... See more keywords
SSGAN: A Semantic Similarity-Based GAN for Small-Sample Image Augmentation
Sign Up to like & getrecommendations! Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11498-z
Abstract: Image sample augmentation refers to strategies for increasing sample size by modifying current data or synthesizing new data based on existing data. This technique is of vital significance in enhancing the performance of downstream learning… read more here.
Keywords: image; similarity based; semantic similarity; small sample ... See more keywords
Generating accurate in silico predictions of acute aquatic toxicity for a range of organic chemicals: Towards similarity-based machine learning methods.
Sign Up to like & getrecommendations! Published in 2021 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2021.130681
Abstract: There has been an increase in the use of non-animal approaches, such as in silico and/or in vitro methods, for assessing the risks of hazardous chemicals. A number of machine learning algorithms link molecular descriptors… read more here.
Keywords: toxicity; similarity based; machine learning; based machine ... See more keywords
A patient-similarity-based model for diagnostic prediction
Sign Up to like & getrecommendations! Published in 2020 at "International journal of medical informatics"
DOI: 10.1016/j.ijmedinf.2019.104073
Abstract: OBJECTIVE To simulate the clinical reasoning of doctors, retrieve analogous patients of an index patient automatically and predict diagnoses by the similar/dissimilar patients. METHODS We proposed a novel patient-similarity-based framework for diagnostic prediction, which is… read more here.
Keywords: analogy; similarity based; similarity; patient similarity ... See more keywords
Structural brain network differences in bipolar disorder using with similarity-based approach.
Sign Up to like & getrecommendations! Published in 2020 at "Acta neuropsychiatrica"
DOI: 10.1017/neu.2020.45
Abstract: OBJECTIVE Previous studies have shown differences in the regional brain structure and function between patients with bipolar disorder (BD) and healthy subjects, but little is known about the structural connectivity between BD patients and healthy… read more here.
Keywords: similarity based; network; healthy subjects; bipolar disorder ... See more keywords
Identification of Fatty Acid Binding Protein 5 Inhibitors Through Similarity-Based Screening
Sign Up to like & getrecommendations! Published in 2019 at "Biochemistry"
DOI: 10.1021/acs.biochem.9b00625
Abstract: Fatty acid binding protein 5 (FABP5) is a promising target for development of inhibitors to help control pain and inflammation. In this work, computer-based docking (DOCK6 program) was employed to screen ∼2 M commercially available… read more here.
Keywords: similarity based; similarity; fatty acid; acid binding ... See more keywords
CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy Prediction
Sign Up to like & getrecommendations! Published in 2024 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.3c01486
Abstract: Drug synergy prediction plays a vital role in cancer treatment. Because experimental approaches are labor-intensive and expensive, computational-based approaches get more attention. There are two types of computational methods for drug synergy prediction: feature-based and… read more here.
Keywords: cell lines; drugs cell; similarity based; feature based ... See more keywords
Subpocket Similarity-Based Hit Identification for Challenging Targets: Application to the WDR Domain of LRRK2
Sign Up to like & getrecommendations! Published in 2024 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.4c00601
Abstract: We herewith applied a priori a generic hit identification method (POEM) for difficult targets of known three-dimensional structure, relying on the simple knowledge of physicochemical and topological properties of a user-selected cavity. Searching for local… read more here.
Keywords: subpocket similarity; similarity based; identification; based hit ... See more keywords
A Combined Bayesian and Similarity-Based Approach for Predicting E. coli Biofilm Inhibition by Phenolic Natural Compounds.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of natural products"
DOI: 10.1021/acs.jnatprod.2c00005
Abstract: Screening for biofilm inhibition by purified natural compounds is difficult due to compounds' chemical diversity and limited commercial availability, combined with time- and cost-intensiveness of the laboratory process. In silico prediction of chemical and biological… read more here.
Keywords: inhibition; natural compounds; biofilm inhibition; similarity based ... See more keywords
Similarity-Based Profiling of Hydrazone-Containing Scaffolds Active Against Leishmania Amastigotes
Sign Up to like & getrecommendations! Published in 2025 at "ACS Omega"
DOI: 10.1021/acsomega.5c05276
Abstract: This review explores the potential of hydrazone-containing scaffolds as anti-leishmanial agents with a particular focus on their activity against intracellular Leishmania amastigotes. Through a strategy centered on the 3D electroshape properties of compounds, structural analysis… read more here.
Keywords: leishmania amastigotes; hydrazone containing; hydrazone; similarity based ... See more keywords