Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Thesises (postgraduate)
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An analysis of electrocardiograms in developing statistical learning models for instantaneous sleep quality and sleep potential predictionDigital Resources/Online E-Resources |
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2 |
Material Type: Thesises (postgraduate)
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Touch-screen behavioural biometrics on mobile devicesDOI: 10.22024/UniKent/01.02.89861Digital Resources/Online E-Resources |
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3 |
Material Type: Thesises (postgraduate)
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Diffusion in complex networks revisited: a machine learning approach towards achieving fair, dynamics-sensitive, and data-driven solutionsDigital Resources/Online E-Resources |
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4 |
Material Type: Thesises (postgraduate)
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Using neural networks and support vector machines for default prediction in South AfricaDigital Resources/Online E-Resources |
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5 |
Material Type: Thesises (postgraduate)
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Statistical and Mathematical Learning: an application to fraud detection and preventionHamlomo, Sisipho Use of this resource is governed by the terms and conditions of the Creative Commons "Attribution-NonCommercial-ShareAlike" License (http://creativecommons.org/licenses/by-nc-sa/2.0/)Digital Resources/Online E-Resources |
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6 |
Material Type: Thesises (postgraduate)
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Variable selection and outlier detection viamixed integer programmingDigital Resources/Online E-Resources |
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7 |
Material Type: Thesises (postgraduate)
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A novel framework for optimised ensemble classifiersDigital Resources/Online E-Resources |
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8 |
Material Type: Thesises (postgraduate)
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Fuzzy approaches against outliers and applications in wind energyDigital Resources/Online E-Resources |
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9 |
Material Type: Thesises (postgraduate)
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Predicting the legal status of recreational marijuana in U.S. statesinfo:eu-repo/semantics/openAccessDigital Resources/Online E-Resources |
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10 |
Material Type: Thesises (postgraduate)
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Detecting subject-specific fatigue related changes in lifting kinematics using a machine learning approachDigital Resources/Online E-Resources |
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11 |
Material Type: Thesises (postgraduate)
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Developing artificial intelligence models for classification of brain disorder diseases based on statistical techniquesDigital Resources/Online E-Resources |
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12 |
Material Type: Thesises (postgraduate)
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Recommender models for items in the game Destiny 2http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccessDigital Resources/Online E-Resources |
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13 |
Material Type: Thesises (postgraduate)
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Making kernel machines scalable combining matrix approximations and distributed computinginfo:eu-repo/semantics/openAccessDigital Resources/Online E-Resources |
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14 |
Material Type: Thesises (postgraduate)
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The Wits intelligent teaching system (WITS): a smart lecture theatre to assess audience engagementDigital Resources/Online E-Resources |
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15 |
Material Type: Thesises (postgraduate)
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Acoustic source identification in noisy environmentsDigital Resources/Online E-Resources |
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16 |
Material Type: Thesises (postgraduate)
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Interactive Optimisation in Marine Propeller DesignDigital Resources/Online E-Resources |
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17 |
Material Type: Thesises (postgraduate)
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Towards efficient quantum algorithms for optimization and samplingDigital Resources/Online E-Resources |
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18 |
Material Type: Thesises (postgraduate)
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VESSEL CLASSIFICATION FROM OVERHEAD IMAGERY USING THE RANDOM FOREST ALGORITHMThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Digital Resources/Online E-Resources |
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19 |
Material Type: Thesises (postgraduate)
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Monitoring and assessment of the operational and structural conditions in steel pipelinesDigital Resources/Online E-Resources |
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20 |
Material Type: Thesises (postgraduate)
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Machine learning classification for advanced malware detectionDigital Resources/Online E-Resources |