Ensemble classifier
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This research underscores the effectiveness of ensemble classifiers, particularly SVM, in providing accurate and valuable information to enhance mental health support in response to common psychological inquiries.
6p vialicene 02-07-2024 0 0 Download
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Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine learning on textual patient records. Our approach aims to automate the triaging process and reduce expert effort while providing high classification reliability.
7p visteverogers 24-06-2023 3 2 Download
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The paper proposed an ensemble classifier (EC) that is combined by parallel single classifiers. The single classifiers can compensate for the others by combining in parallel. Then, the EC can improve classification accuracy. The paper proposed the use of Multi-layer Perceptron Networks (MLPN) to build EC. The study is tested on IEEE 39-bus power system network.
6p vidoctorstrange 06-05-2023 7 3 Download
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This paper investigates convolutional neural networks (CNN) to classify 26 types of signal modulation under the influence of five different fading channels and Gausian noise with SNR from -20 dB to +18 dB. Specifically, five CNN models, including ResNet18, SqueezeNet, GoogleNet, MobileNet, and RepVGG, are taken into account for a accuracy competition to discover the best one.
8p vigeneralmotors 13-07-2022 1084 9 Download
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Biomarkers of aging can be used to assess the health of individuals and to study aging and age-related diseases. We generate a large dataset of genome-wide RNA-seq profiles of human dermal fibroblasts from 133 people aged 1 to 94 years old to test whether signatures of aging are encoded within the transcriptome.
8p vigalileogalilei 27-02-2022 14 1 Download
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One of the main challenges in metagenomics is the identification of microorganisms in clinical and environmental samples. While an extensive and heterogeneous set of computational tools is available to classify microorganisms using whole-genome shotgun sequencing data, comprehensive comparisons of these methods are limited.
19p vialfrednobel 29-01-2022 13 0 Download
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In this work, 11 different consolidation percentages are considered for PCTBagging to effectively analyse the trade-off between comprehensibility and discriminating capacity. The results of PCTBagging are compared to those of bagging, CTC and C4.5, which serves as the base for all other algorithms.
20p guernsey 28-12-2021 14 0 Download
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The specific objectives were: 1) to improve the ensemble classifier through data-level approach (sampling and feature selection); 2) to perform experiments on sampling, feature selection, and ensemble classifier model; and 3) to evaluate the performance of the ensemble classifier.
31p spiritedaway36 28-11-2021 16 4 Download
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In plants, long non-protein coding RNAs are believed to have essential roles in development and stress responses. However, relative to advances on discerning biological roles for long non-protein coding RNAs in animal systems, this RNA class in plants is largely understudied. With comparatively few validated plant long non-coding RNAs, research on this potentially critical class of RNA is hindered by a lack of appropriate prediction tools and databases.
11p vibeauty 23-10-2021 14 0 Download
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In silico investigations on the integration of multiple datasets are in need of higher statistical power methods to unveil secondary findings that were hidden from the initial analyses. We present here a novel method for the network analysis of messenger RNA post-translational regulation by microRNA molecules.
11p vitzuyu2711 29-09-2021 8 1 Download
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Spam mail is one of the disadvantages of e-mail application. This problem annoys recipient, taking their time, as well as wasting network bandwidth. From this reason, SPAM classification is a realistic problem which we need to consider. Furthermore, modeling a system which automatically classifies spam email from our list of emails has become important.
13p vigiselle2711 29-08-2021 19 2 Download
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There are two significant problems associated with predicting protein-protein interactions using the sequences of amino acids. The first problem is representing each sequence as a feature vector, and the second is designing a model that can identify the protein interactions.
13p viansan2711 30-07-2021 9 1 Download
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In this paper, the authors propose a coevolutionary algorithm using an ensemble learning approach (E-SOCA) to simultaneously solve both feature subset selection and optimal classifier design. Unlike previous studies where each population retains only one best individual (Elite) after co-evolution, in this study, an elite community will be stored and calculated together through an ensemble learning algorithm to produce the finally classified result.
11p nguaconbaynhay10 22-01-2021 12 1 Download
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Computational prediction of protein subcellular localization can greatly help to elucidate its functions. Despite the existence of dozens of protein localization prediction algorithms, the prediction accuracy and coverage are still low.
12p viwyoming2711 16-12-2020 10 1 Download
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Vitamins are typical ligands that play critical roles in various metabolic processes. The accurate identification of the vitamin-binding residues solely based on a protein sequence is of significant importance for the functional annotation of proteins, especially in the post-genomic era, when large volumes of protein sequences are accumulating quickly without being functionally annotated.
14p vikentucky2711 26-11-2020 7 1 Download
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DNA-binding proteins are vital for the study of cellular processes. In recent genome engineering studies, the identification of proteins with certain functions has become increasingly important and needs to be performed rapidly and efficiently.
10p vikentucky2711 26-11-2020 12 0 Download
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Aptamer-protein interacting pairs play a variety of physiological functions and therapeutic potentials in organisms. Rapidly and effectively predicting aptamer-protein interacting pairs is significant to design aptamers binding to certain interested proteins, which will give insight into understanding mechanisms of aptamer-protein interacting pairs and developing aptamer-based therapies.
13p vioklahoma2711 19-11-2020 14 2 Download
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Prediction of ligand binding sites is important to elucidate protein functions and is helpful for drug design. Although much progress has been made, many challenges still need to be addressed. Prediction methods need to be carefully developed to account for chemical and structural differences between ligands
12p vioklahoma2711 19-11-2020 11 0 Download
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Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use available data on known drug-target interactions to train classifiers with the purpose of predicting new undiscovered interactions.
10p vioklahoma2711 19-11-2020 10 1 Download
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Various methods for differential expression analysis have been widely used to identify features which best distinguish between different categories of samples. Multiple hypothesis testing may leave out explanatory features, each of which may be composed of individually insignificant variables.
14p vicolorado2711 22-10-2020 18 0 Download