AIMC Topic: Classification

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Species delimitation 4.0: integrative taxonomy meets artificial intelligence.

Trends in ecology & evolution Jun 6, 2024
Although species are central units for biological research, recent findings in genomics are raising awareness that what we call species can be ill-founded entities due to solely morphology-based, regional species descriptions. This particularly appli...
Genomics Biodiversity Classification Artificial Intelligence
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Investigation of machine learning algorithms for taxonomic classification of marine metagenomes.

Microbiology spectrum Sep 11, 2023
Taxonomic profiling of microbial communities is essential to model microbial interactions and inform habitat conservation. This work develops approaches in constructing training/testing data sets from publicly available marine metagenomes and evaluat...
Microbiota Classification Models, Biological Aquatic Organisms Neural Networks, Computer Metagenome Machine Learning
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Research on Music Style Classification Based on Deep Learning.

Computational and mathematical methods in medicine Jan 18, 2022
Music style is one of the important labels for music classification, and the current music style classification methods extract features such as rhythm and timbre of music and use classifiers to achieve classification. The classification accuracy is ...
Signal Processing, Computer-Assisted Acoustics Deep Learning Computational Biology Classification Music Humans Neural Networks, Computer Algorithms Computer Simulation
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Re-evaluating Deep Neural Networks for Phylogeny Estimation: The Issue of Taxon Sampling.

Journal of computational biology : a journal of computational molecular cell biology Jan 5, 2022
Deep neural networks (DNNs) have been recently proposed for quartet tree phylogeny estimation. Here, we present a study evaluating recently trained DNNs in comparison to a collection of standard phylogeny estimation methods on a heterogeneous collect...
Neural Networks, Computer Computer Simulation Phylogeny Amino Acid Sequence Classification Databases, Genetic Evolution, Molecular Deep Learning Computational Biology
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Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications.

Computational and mathematical methods in medicine Nov 16, 2021
Word embedding models have recently shown some capability to encode hierarchical information that exists in textual data. However, such models do not explicitly encode the hierarchical structure that exists among words. In this work, we propose a met...
Natural Language Processing Knowledge Bases Databases, Factual Semantics Computational Biology Classification Humans Machine Learning
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Identification of diatom taxonomy by a combination of region-based full convolutional network, online hard example mining, and shape priors of diatoms.

International journal of legal medicine Jul 20, 2021
Diatom test is one of the commonly used diagnostic methods for drowning in forensic pathology, which provides supportive evidence for drowning. However, in forensic practice, it is time-consuming and laborious for forensic experts to classify and cou...
Classification Diatoms Neural Networks, Computer
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Feature Selection on Elite Hybrid Binary Cuckoo Search in Binary Label Classification.

Computational and mathematical methods in medicine May 11, 2021
For the low optimization accuracy of the cuckoo search algorithm, a new search algorithm, the Elite Hybrid Binary Cuckoo Search (EHBCS) algorithm, is improved by feature weighting and elite strategy. The EHBCS algorithm has been designed for feature ...
Pattern Recognition, Automated Classification Computational Biology Support Vector Machine Databases, Factual Female Humans Algorithms Risk Factors Male Animals Birds
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Block-cyclic stochastic coordinate descent for deep neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 19, 2021
We present a stochastic first-order optimization algorithm, named block-cyclic stochastic coordinate descent (BCSC), that adds a cyclic constraint to stochastic block-coordinate descent in the selection of both data and parameters. It uses different ...
Stochastic Processes Neural Networks, Computer Image Processing, Computer-Assisted Pattern Recognition, Automated Classification Datasets as Topic
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Long-term Cognitive Network-based architecture for multi-label classification.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2021
This paper presents a neural system to deal with multi-label classification problems that might involve sparse features. The architecture of this model involves three sequential blocks with well-defined functions. The first block consists of a multil...
Datasets as Topic Classification Neural Networks, Computer
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Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2021
Although zero-shot learning (ZSL) has an inferential capability of recognizing new classes that have never been seen before, it always faces two fundamental challenges of the cross modality and cross-domain challenges. In order to alleviate these pro...
Classification Knowledge Bases Semantics Humans Machine Learning
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