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
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
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
A similarity-based automatic data recommendation approach for geographic models
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2017.1300805
Abstract: ABSTRACT The complexity of geographic modelling is increasing; hence, preparing data to drive geographic models is becoming a time-consuming and difficult task that may significantly hinder the application of such models. Meanwhile, a huge number… read more here.
Keywords: data sets; similarity based; geographic models; data recommendation ... See more keywords
Review and comparative assessment of similarity-based methods for prediction of drug-protein interactions in the druggable human proteome
Sign Up to like & getrecommendations! Published in 2019 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bby069
Abstract: Drug-protein interactions (DPIs) underlie the desired therapeutic actions and the adverse side effects of a significant majority of drugs. Computational prediction of DPIs facilitates research in drug discovery, characterization and repurposing. Similarity-based methods that do… read more here.
Keywords: similarity based; protein interactions; similarity; drug ... See more keywords
Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3030249
Abstract: The fine-grained visual classification (FGVC) which aims to distinguish subtle differences among subcategories is an important computer vision task. However, one issue that limits model performance is the problem of diversity within subcategories. To this… read more here.
Keywords: category similarity; based distributed; grained visual; fine grained ... See more keywords
A Novel Similarity Based Unsupervised Technique for Training Convolutional Filters
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3277253
Abstract: Achieving satisfactory results with Convolutional Neural Networks (CNNs) depends on how effectively the filters are trained. Conventionally, an appropriate number of filters is carefully selected, the filters are initialized with a proper initialization method and… read more here.
Keywords: based unsupervised; similarity based; novel similarity; convolutional filters ... See more keywords
Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3048652
Abstract: Understanding pedestrian behaviors is crucial for a safe navigation of self-driving vehicles. However, pedestrians exhibit a large variety in their motion behaviors that are affected by interaction with the environment and other users of the… read more here.
Keywords: model; similarity based; model fusion; multi model ... See more keywords