Classification performance
The Muller-Lyer Illusion in a computational model of biological object recognition.
... the classification performance for an ML stimulus versus a control, in a biologically plausible model of object ...overall classification accuracy level of 90% for our control ...in ...
9
Image Normalization Influence in Mammographic Classification with CNNs
... the performance of Convolutional Neural Networks (CNN) in the classification of mammographic images, many researchers choose to apply a normalization method during the pre-processing ...tion ...
9
Sergi Bermudez i Badia
... BCI classification performance, but showing that BCI feedback clearly modulates sensorimotor EEG rhythms [Neuper et ...consistent performance trends related to the type of interface but also enhanced ...
370
Collaborative filtering for brain-computer interaction using transfer learning and active class selection.
... the classification performance of the resulting classifiers, and then determining the class distribution that performs ...better performance than learning from any a priori fixed class ...existing ...
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Cross-platform normalization of microarray and RNA-seq data for machine learning applications
... evaluated classification performance using the averaged values for each random seed for the total accuracy over all tumor subtypes/classes, balanced accuracy of each subtype/class (the average of the ...
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Document features selection using background knowledge and word clustering technique
... the performance of classification algorithms (Sebastiani, 2002; Shang et ...Therefore, classification algorithms need some methods to reduce the data size and to increase the classification ...
10
Evaluation of Information Retrieval Systems
... evaluation performance measures of choice in applications such as database image ...at classification performance when it comes to search relevant items (information retrieval) in situations where ...
9
On the improvement of sleep onset latency detection and sleep-wake classification using cardiorespiratory features
... overall performance, accuracy is one of the most commonly used parameters, because it describes the agreement between 2 sequences of ...of performance. Class imbalance refers to classification ...
104
Information Gain as a Feature Selection Method for the Efficient Classification of Influenza Based on Viral Hosts
... d escribed a direct input encoding scheme, utilizing four units to represent the nucleotides [13]. Demeler & Zhou presented a dense representation using two units for four nucleotides [14]. They demonstrated how this ...
7
Implicit acquisition of grammars with crossed and nested non-adjacent dependencies: investigating the push-down stack model
... the classification performance (endorsement rates) with the factors TEST (baseline ...ence classification) and GRAMMATICALITY (grammatical ...
24
Comparison of Hybrid Classifiers for Crop Classification Using Normalized Difference Vegetation Index Time Series: A Case Study for Major Crops in North Xinjiang, China.
... the classification output of machine learning ...crop classification using NDVI time series were tested with different training sample sizes at both pixel and object levels, and two representative counties ...
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Application of bayesian additive regression trees in the development of credit scoring models in Brazil
... The logistic regression (Hosmer et al., 2013) has become the most widely used method in the financial industry (Anderson, 2007). The use of artificial intelligence techniques, imported from statistical learning theory, ...
13
Performance of the 2010 classification criteria for rheumatoid arthritis: a systematic literature review and a meta-analysis.
... new classification criteria for RA were first presented, several studies have provided a wide range of results by evaluating their performance in the setting of early ...
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Application of a Brazilian test of expressive vocabulary in European Portuguese children
... the performance of European Portuguese children in a Brazilian test of expressive vocabulary, seeking to identify differences between age groups and gender, and to verify its applicability in this ...semantic ...
6
Validation and Reliability of a Classification Method to Measure the Time Spent Performing Different Activities.
... the classification model presented and discussed could be considered to have good clas- sification accuracy in both CE and UE, several confounding factors should be considered and ...the classification ...
14
en 1808 8694 bjorl 79 05 s1 0s02
... The National Commission of Medical Residency was established 30 years ago today, by Decree Nº. 80,281, of September 5, 1977, during the administration of President Ernesto Geisel. From the beginning, it was an assignment ...
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EXTRACELLULAR VESICLES: CLASSIFICATION, FUNCTIONS AND CLINICAL RELEVANCE
... Classification. Due to a wide diversity of research field disciplines and different classification principles the common solution for cellular vesicles classification is still not obtained [2]. ...
7
Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data
... the performance of four ground filtering algorithms in different classes of land use and land cover, a visual classification was performed (Figure ...
10
TG PhD Thesis 7c26d08
... was sufficient to account for the animals’ percep- tual decisions, and was not accompanied by sys- tematic differences in outwardly expressed behavior over time. Combined with the observa- tion that striatal inactivation ...
164
Uma estratégia híbrida para o problema de classificação multirrótulo
... scene classification, protein function classification, text categorization, and mu- sic categorization, among others, require increasingly multi- label classification ...traditional ...
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