Výsledky vyhľadávania - "Classification algorithms"

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  1. 1

    Text Classification Algorithms: A Survey Autor Kowsari, Kamran, Jafari Meimandi, Kiana, Heidarysafa, Mojtaba, Mendu, Sanjana, Barnes, Laura, Brown, Donald

    ISSN: 2078-2489, 2078-2489
    Vydavateľské údaje: Basel MDPI AG 23.04.2019
    Vydané v Information (Basel) (23.04.2019)
    “… In this paper, a brief overview of text classification algorithms is discussed. This overview covers different text feature extractions, dimensionality reduction methods, existing algorithms and techniques, and evaluations methods. Finally, the limitations of each technique and their application in real-world problems are discussed…”
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    A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update Autor Lotte, F, Bougrain, L, Cichocki, A, Clerc, M, Congedo, M, Rakotomamonjy, A, Yger, F

    ISSN: 1741-2552, 1741-2552
    Vydavateľské údaje: England 01.06.2018
    Vydané v Journal of neural engineering (01.06.2018)
    “… The time is therefore ripe for an updated review of EEG classification algorithms for BCIs…”
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  3. 3

    Prediction of Diabetes using Classification Algorithms Autor Sisodia, Deepti, Sisodia, Dilip Singh

    ISSN: 1877-0509, 1877-0509
    Vydavateľské údaje: Elsevier B.V 2018
    Vydané v Procedia computer science (2018)
    “… Therefore three machine learning classification algorithms namely Decision Tree, SVM and Naive Bayes are used in this experiment to detect diabetes at an early stage…”
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  4. 4

    Review of Image Classification Algorithms Based on Convolutional Neural Networks Autor Chen, Leiyu, Li, Shaobo, Bai, Qiang, Yang, Jing, Jiang, Sanlong, Miao, Yanming

    ISSN: 2072-4292, 2072-4292
    Vydavateľské údaje: Basel MDPI AG 21.11.2021
    Vydané v Remote sensing (Basel, Switzerland) (21.11.2021)
    “…Image classification has always been a hot research direction in the world, and the emergence of deep learning has promoted the development of this field…”
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    Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research Autor Lessmann, Stefan, Baesens, Bart, Seow, Hsin-Vonn, Thomas, Lyn C.

    ISSN: 0377-2217, 1872-6860
    Vydavateľské údaje: Amsterdam Elsevier B.V 16.11.2015
    “… published their benchmarking study of classification algorithms in credit scoring [Baesens, B., Van Gestel, T., Viaene, S., Stepanova, M., Suykens, J., & Vanthienen, J…”
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    A Survey on Text Classification Algorithms: From Text to Predictions Autor Gasparetto, Andrea, Marcuzzo, Matteo, Zangari, Alessandro, Albarelli, Andrea

    ISSN: 2078-2489, 2078-2489
    Vydavateľské údaje: Basel MDPI AG 01.02.2022
    Vydané v Information (Basel) (01.02.2022)
    “…In recent years, the exponential growth of digital documents has been met by rapid progress in text classification techniques. Newly proposed machine learning…”
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    Waste reduction via image classification algorithms: beyond the human eye with an AI-based vision Autor Shahin, Mohammad, Chen, F. Frank, Hosseinzadeh, Ali, Bouzary, Hamed, Shahin, Awni

    ISSN: 0020-7543, 1366-588X
    Vydavateľské údaje: London Taylor & Francis 02.05.2024
    “…Modern manufacturing is the world's largest and most automated industrial sector. The rise of Industry 4.0 technologies such as Big Data, Internet of Things…”
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    Classification algorithms and social outcomes Autor Penn, Elizabeth Maggie, Patty, John W.

    ISSN: 0092-5853, 1540-5907
    Vydavateľské údaje: 16.09.2025
    Vydané v American journal of political science (16.09.2025)
    “…Classification algorithms are increasingly important in areas such as obtaining credit, employment, health care, housing, law enforcement, and national security…”
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    Comparative analysis of image classification algorithms based on traditional machine learning and deep learning Autor Wang, Pin, Fan, En, Wang, Peng

    ISSN: 0167-8655, 1872-7344
    Vydavateľské údaje: Amsterdam Elsevier B.V 01.01.2021
    Vydané v Pattern recognition letters (01.01.2021)
    “…•Representative SVM and CNN algorithms in traditional machine learning and deep learning for research.•Under other conditions being the same, the data sets are…”
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  10. 10

    Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation Autor Wong, Tzu-Tsung

    ISSN: 0031-3203, 1873-5142
    Vydavateľské údaje: Elsevier Ltd 01.09.2015
    Vydané v Pattern recognition (01.09.2015)
    “… Both k-fold and leave-one-out cross validation are very popular for evaluating the performance of classification algorithms…”
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    Bake off redux: a review and experimental evaluation of recent time series classification algorithms Autor Middlehurst, Matthew, Schäfer, Patrick, Bagnall, Anthony

    ISSN: 1384-5810, 1573-756X
    Vydavateľské údaje: New York Springer US 01.07.2024
    Vydané v Data mining and knowledge discovery (01.07.2024)
    “…In 2017, a research paper (Bagnall et al. Data Mining and Knowledge Discovery 31(3):606-660. 2017 ) compared 18 Time Series Classification (TSC) algorithms on…”
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  12. 12

    An up-to-date comparison of state-of-the-art classification algorithms Autor Zhang, Chongsheng, Liu, Changchang, Zhang, Xiangliang, Almpanidis, George

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: New York Elsevier Ltd 01.10.2017
    Vydané v Expert systems with applications (01.10.2017)
    “…•We compare the accuracy of 11 classification algorithms pairwise and groupwise.•We examine separately the training, parameter-tuning, and testing time…”
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    Assessment of wear/nonwear time classification algorithms for triaxial accelerometer Autor Choi, Leena, Ward, Suzanne Capen, Schnelle, John F, Buchowski, Maciej S

    ISSN: 1530-0315, 1530-0315
    Vydavateľské údaje: United States 01.10.2012
    “…The objective of this study is to assess the performance of existing wear/nonwear time classification algorithms for accelerometry data collected in the free-living environment using a wrist-worn…”
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    A REVIEW OF POINT CLOUDS SEGMENTATION AND CLASSIFICATION ALGORITHMS Autor Grilli, E., Menna, F., Remondino, F.

    ISSN: 2194-9034, 1682-1750, 2194-9034
    Vydavateľské údaje: Gottingen Copernicus GmbH 23.02.2017
    “…Today 3D models and point clouds are very popular being currently used in several fields, shared through the internet and even accessed on mobile phones…”
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    Online Passive-Aggressive Multilabel Classification Algorithms Autor Zhai, Tingting, Wang, Hao

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydavateľské údaje: United States IEEE 01.12.2023
    “… In order to overcome the drawbacks of batch learning, we develop a family of online multilabel classification algorithms, which can update the model instantly and efficiently, and make a timely…”
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    Optimization classification, algorithms and tools for renewable energy: A review Autor Iqbal, M., Azam, M., Naeem, M., Khwaja, A.S., Anpalagan, A.

    ISSN: 1364-0321, 1879-0690
    Vydavateľské údaje: Kidlington Elsevier Ltd 01.11.2014
    “…Renewable energy technologies׳ systems are major components of the strategy to reduce harmful emissions and deal with depleting energy resources. It is…”
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    A Survey of Brain Tumor Segmentation and Classification Algorithms Autor Biratu, Erena Siyoum, Schwenker, Friedhelm, Ayano, Yehualashet Megersa, Debelee, Taye Girma

    ISSN: 2313-433X, 2313-433X
    Vydavateľské údaje: Basel MDPI AG 06.09.2021
    Vydané v Journal of imaging (06.09.2021)
    “…A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several slices across the 3D anatomical view. Therefore, manual segmentation…”
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    Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals Autor Han, Sudan, Yan, Linjie, Zhang, Yuxuan, Addabbo, Pia, Hao, Chengpeng, Orlando, Danilo

    ISSN: 1053-587X, 1941-0476
    Vydavateľské údaje: New York IEEE 2021
    “…In this paper, we address the problem of target detection in the presence of coherent (or fully correlated) signals, which can be due to multipath propagation…”
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    Ensemble of feature sets and classification algorithms for sentiment classification Autor Xia, Rui, Zong, Chengqing, Li, Shoushan

    ISSN: 0020-0255, 1872-6291
    Vydavateľské údaje: Elsevier Inc 15.03.2011
    Vydané v Information sciences (15.03.2011)
    “… The ensemble framework is applied to sentiment classification tasks, with the aim of efficiently integrating different feature sets and classification algorithms to synthesize a more accurate classification procedure…”
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