A practical evaluation of machine learning for classification of ultrasound images of ovarian development in channel catfish (Ictalurus punctatus)

Graham, Clinten A.; Shamkhalichenar, Hamed; Browning, Valentino E.; Byrd, Victoria J.; Liu, Yue; Gutierrez-Wing, Maria Teresa; Novelo, Noel D.; Choi, Jin‐Woo; Tiersch, Terrence R.

doi:10.1016/j.aquaculture.2022.738039

Cited by 10 publications

(5 citation statements)

References 35 publications

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“…In the last few years, advancements in machine learning, a subset of artificial intelligence (AI), have transformed and inherently changed almost every area of our lives [1], [2]. Particularly, ML has been applied in disease diagnosis [3], fraud detection [4], text classification [5], and image recognition [6], among others. Unlike humans, ML algorithms consider several factors when making decisions, and they are not prone to fatigue or prejudice.…”

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confidence: 99%

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

2022

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Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models. This paper presents a concise overview of ensemble learning, covering the three main ensemble methods: bagging, boosting, and stacking, their early development to the recent state-of-the-art algorithms. The study focuses on the widely used ensemble algorithms, including random forest, adaptive boosting (AdaBoost), gradient boosting, extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and categorical boosting (CatBoost). An attempt is made to concisely cover their mathematical and algorithmic representations, which is lacking in the existing literature and would be beneficial to machine learning researchers and practitioners.

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confidence: 99%

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

2022

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“…Machine learning is a multidisciplinary interdisciplinary discipline involving probability theory, statistics, computer science, algorithmic complexity theory, and other disciplines. Machine learning is a broad interpretation of an algorithm that mimics the various abilities of humans (Graham et al, 2022). Machine learning algorithms come in many forms of classification, such as learning strategies, knowledge acquisition, application areas, comprehensive classification, and learning classification.…”

Section: Machine Learningmentioning

confidence: 99%

An Unhealthy Webpage Discovery System Based on Convolutional Neural Network

Cai

Tan

Zhang

et al. 2022

International Journal of Digital Crime and Forensics

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Currently, with the popularity of the internet, people are surrounded by a large number of unhealthy pages which have a serious impact on the physical and mental health of visitors. To protect the legitimate rights and interests of internet users from infringement and maintain the harmonious and stable development of society, a new unhealthy webpage discovery system is needed. First, this paper proposed the knowledge of unhealthy webpages and web crawlers, and then the whole system's plan and design were introduced. The test results show that the unhealthy webpage discovery system can meet the needs of users. This experiment uses a CNN algorithm to classify the text and completes the collection and classification of unhealthy information through URL acquisition and URL filtering. The experimental results show that the unhealthy webpage discovery system based on a convolutional neural network can greatly improve the accuracy of unhealthy webpage discovery and reduce the omission rate, which can meet the needs of users for unhealthy webpage discovery.

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“…Researchers working with fish and amphibian species have likewise identified the need for automation, especially in the pre-freeze processing steps, where the requirement may be for dozens of distinct samples to be evaluated and packaged into hundreds or thousands of containers in the space of a few hours. In one of a few high-throughput applications in aquatic species, the Aquatic Germplasm and Genetic Resources Center (AGGRC) has evaluated and cryopreserved the sperm of 50–100 channel catfish ( Ictalurus punctatus ) [ 19 ] or blue catfish ( Ictalurus furcatus ) males [ 20 , 21 ] over a three-day period. Executing this task requires a great deal of training, specialized equipment exceeding a total capital cost of US$250,000, and roughly 200 person-hours of effort.…”

Section: Introductionmentioning

confidence: 99%

An automated modular open-technology device to measure and adjust concentration of aquatic sperm samples for cryopreservation

Zuchowicz

Liu²,

Monroe³

et al. 2023

SLAS Technology

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A practical evaluation of machine learning for classification of ultrasound images of ovarian development in channel catfish (Ictalurus punctatus)

Cited by 10 publications

References 35 publications

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

An Unhealthy Webpage Discovery System Based on Convolutional Neural Network

An automated modular open-technology device to measure and adjust concentration of aquatic sperm samples for cryopreservation

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