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Näytetään 1 - 19 yhteensä 19 tuloksesta haulle '', hakuaika: 0,04s Tarkenna hakua
  1. 1
    Utilization of efficient features, vectors and machine learning for ranking techniques

    Utilization of efficient features, vectors and machine learning for ranking techniques Tekijä Pandey, Gaurav, kirjoittaja

    Julkaistu 2019
    JYX-julkaisuarkisto / JYX Digital Archive
    JYX-julkaisuarkisto / JYX Digital Archive
    Väitöskirja
  2. 2
    Utilization of efficient features, vectors and machine learning for ranking techniques

    Utilization of efficient features, vectors and machine learning for ranking techniques Tekijä Pandey, Gaurav, kirjoittaja

    Julkaistu 2019
    Linkki verkkoaineistoon
    Linkki verkkoaineistoon
    Väitöskirja
  3. 3
    A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders

    A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders Tekijä Penttilä, Jeremias, kirjoittaja

    Julkaistu 2017
    JYX-julkaisuarkisto / JYX Digital Archive
    Pro gradu
  4. 4
    Architecture-independent matching of stripped binary code files using BERT and a Siamese neural network

    Architecture-independent matching of stripped binary code files using BERT and a Siamese neural network Tekijä Lampinen, Kenneth

    Julkaistu 2020
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  5. 5
    The electric brain : new intelligent agents in esports

    The electric brain : new intelligent agents in esports Tekijä Wang, Ziqi

    Julkaistu 2022
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  6. 6
    A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders

    A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders Tekijä Penttilä, Jeremias

    Julkaistu 2017
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  7. 7
    The Impact of Regularization on Convolutional Neural Networks

    The Impact of Regularization on Convolutional Neural Networks Tekijä Zeeshan, Khaula

    Julkaistu 2018
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  8. 8
    Automated analysis of musculoskeletal ultrasound images using deep learning

    Automated analysis of musculoskeletal ultrasound images using deep learning Tekijä Cronin, Neil

    Julkaistu 2020
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  9. 9
    Deep semantic segmentation for skin cancer detection from hyperspectral images

    Deep semantic segmentation for skin cancer detection from hyperspectral images Tekijä Karhu, Anette

    Julkaistu 2020
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  10. 10
    Evaluating the sensitivity of lightweight object detection models against adversarial perturbations

    Evaluating the sensitivity of lightweight object detection models against adversarial perturbations Tekijä Mäyrä, Ville-Matti

    Julkaistu 2022
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  11. 11
    Transformers for breast cancer classification

    Transformers for breast cancer classification Tekijä Lindroos, Jari

    Julkaistu 2022
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  12. 12
    Semi-supervised deep learning for the classification of eldercare workers’ sentiments

    Semi-supervised deep learning for the classification of eldercare workers’ sentiments Tekijä Toivanen, Ida

    Julkaistu 2022
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  13. 13
    Study of various machine learning approaches to predict default behavior of a borrower based on transactional dataset

    Study of various machine learning approaches to predict default behavior of a borrower based on transactional dataset Tekijä Hossain, Mohammad Farhad

    Julkaistu 2021
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  14. 14
    Tracking a rat in an open field experiment with a deep learning-based model

    Tracking a rat in an open field experiment with a deep learning-based model Tekijä Kantola, Lauri

    Julkaistu 2021
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  15. 15
    Applications of images anomalies detection using deep learning in department store

    Applications of images anomalies detection using deep learning in department store Tekijä Banstola, Ram

    Julkaistu 2020
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  16. 16
    Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture

    Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture Tekijä Outinen, Pietari

    Julkaistu 2021
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  17. 17
    Feasibility of markerless motion capture in clinical gait analysis in children with cerebral palsy

    Feasibility of markerless motion capture in clinical gait analysis in children with cerebral palsy Tekijä Mustafaoglu, Afet

    Julkaistu 2023
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  18. 18
    Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks

    Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks Tekijä Romppanen, Vesa

    Julkaistu 2021
    Hae kokoteksti Hae kokoteksti
    Pro gradu
  19. 19
    Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes

    Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes Tekijä Uitto, Roope

    Julkaistu 2021
    Hae kokoteksti Hae kokoteksti
    Pro gradu
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