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You searched for +publisher:"Delft University of Technology" +contributor:("Tax, David"). Showing records 1 – 30 of 36 total matches.

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Delft University of Technology

1. Wang, Jing (author). Vector Representation of Arbitrary-sized Matrices.

Degree: 2017, Delft University of Technology

 In the thesis, we aim to compare matrices that can vary in size or shape, and their columns/rows are permutation invariant. We propose a general… (more)

Subjects/Keywords: matrix representation; graph classification; management performance

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APA (6th Edition):

Wang, J. (. (2017). Vector Representation of Arbitrary-sized Matrices. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c306fbf2-f468-4d72-a57f-ff97a34cefca

Chicago Manual of Style (16th Edition):

Wang, Jing (author). “Vector Representation of Arbitrary-sized Matrices.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:c306fbf2-f468-4d72-a57f-ff97a34cefca.

MLA Handbook (7th Edition):

Wang, Jing (author). “Vector Representation of Arbitrary-sized Matrices.” 2017. Web. 23 Jan 2021.

Vancouver:

Wang J(. Vector Representation of Arbitrary-sized Matrices. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:c306fbf2-f468-4d72-a57f-ff97a34cefca.

Council of Science Editors:

Wang J(. Vector Representation of Arbitrary-sized Matrices. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:c306fbf2-f468-4d72-a57f-ff97a34cefca


Delft University of Technology

2. Ivanov, Viktor (author). Stability-Based Model Selection in Non-Stationary Environment.

Degree: 2017, Delft University of Technology

 Model selection is associated to model assessment, which is the problem of comparing different models, or model hyperparameters, for a particular learning task. It constitutes… (more)

Subjects/Keywords: machine learning; concept drift; model validation; credit risk; loss given default

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APA (6th Edition):

Ivanov, V. (. (2017). Stability-Based Model Selection in Non-Stationary Environment. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:31bbf0f5-c43a-4dc0-b2d5-59880368f2a3

Chicago Manual of Style (16th Edition):

Ivanov, Viktor (author). “Stability-Based Model Selection in Non-Stationary Environment.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:31bbf0f5-c43a-4dc0-b2d5-59880368f2a3.

MLA Handbook (7th Edition):

Ivanov, Viktor (author). “Stability-Based Model Selection in Non-Stationary Environment.” 2017. Web. 23 Jan 2021.

Vancouver:

Ivanov V(. Stability-Based Model Selection in Non-Stationary Environment. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:31bbf0f5-c43a-4dc0-b2d5-59880368f2a3.

Council of Science Editors:

Ivanov V(. Stability-Based Model Selection in Non-Stationary Environment. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:31bbf0f5-c43a-4dc0-b2d5-59880368f2a3


Delft University of Technology

3. Dürnay, Philipp (author). Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing.

Degree: 2018, Delft University of Technology

 Autonomous MAV are an emerging technology that supports a wide range of applications such as medical delivery or finding survivors in disaster scenarios. As flying… (more)

Subjects/Keywords: Computer Vision; Deep Learning; Convolutional Neural Network; Object Detection

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APA (6th Edition):

Dürnay, P. (. (2018). Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:82cb0f68-061e-4346-b536-a35a61621e51

Chicago Manual of Style (16th Edition):

Dürnay, Philipp (author). “Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:82cb0f68-061e-4346-b536-a35a61621e51.

MLA Handbook (7th Edition):

Dürnay, Philipp (author). “Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing.” 2018. Web. 23 Jan 2021.

Vancouver:

Dürnay P(. Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:82cb0f68-061e-4346-b536-a35a61621e51.

Council of Science Editors:

Dürnay P(. Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:82cb0f68-061e-4346-b536-a35a61621e51


Delft University of Technology

4. Wu, Lian (author). Predicting Injury Risk with Machine Learning Methods using a Longitudinal Data Set.

Degree: 2020, Delft University of Technology

Sports injury has long been causing concern to the athlete’s performance, financial aspect, and psychological impact. This is even more prominent in recent years as… (more)

Subjects/Keywords: Machine Learning; Longitudinal Data; Injury Risk; Time dependency; Waterpolo; Prediction model

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APA (6th Edition):

Wu, L. (. (2020). Predicting Injury Risk with Machine Learning Methods using a Longitudinal Data Set. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d4e982bb-2fdc-4794-8eb9-a97ddc92cd24

Chicago Manual of Style (16th Edition):

Wu, Lian (author). “Predicting Injury Risk with Machine Learning Methods using a Longitudinal Data Set.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:d4e982bb-2fdc-4794-8eb9-a97ddc92cd24.

MLA Handbook (7th Edition):

Wu, Lian (author). “Predicting Injury Risk with Machine Learning Methods using a Longitudinal Data Set.” 2020. Web. 23 Jan 2021.

Vancouver:

Wu L(. Predicting Injury Risk with Machine Learning Methods using a Longitudinal Data Set. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:d4e982bb-2fdc-4794-8eb9-a97ddc92cd24.

Council of Science Editors:

Wu L(. Predicting Injury Risk with Machine Learning Methods using a Longitudinal Data Set. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:d4e982bb-2fdc-4794-8eb9-a97ddc92cd24


Delft University of Technology

5. Hafner, Frank (author). Cross-Modal Re-identification of Persons between RGB and Depth.

Degree: 2018, Delft University of Technology

 Cross-modal person re-identification is the task to re-identify a person which was sensedin a first modality, like in visible light (RGB), in a second modality,… (more)

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APA (6th Edition):

Hafner, F. (. (2018). Cross-Modal Re-identification of Persons between RGB and Depth. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6797b0e2-5a20-444f-8d32-a73581e00ff5

Chicago Manual of Style (16th Edition):

Hafner, Frank (author). “Cross-Modal Re-identification of Persons between RGB and Depth.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:6797b0e2-5a20-444f-8d32-a73581e00ff5.

MLA Handbook (7th Edition):

Hafner, Frank (author). “Cross-Modal Re-identification of Persons between RGB and Depth.” 2018. Web. 23 Jan 2021.

Vancouver:

Hafner F(. Cross-Modal Re-identification of Persons between RGB and Depth. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:6797b0e2-5a20-444f-8d32-a73581e00ff5.

Council of Science Editors:

Hafner F(. Cross-Modal Re-identification of Persons between RGB and Depth. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:6797b0e2-5a20-444f-8d32-a73581e00ff5


Delft University of Technology

6. Lim, Dustin (author). Detecting Code Smells in Android Applications.

Degree: 2018, Delft University of Technology

Code smells are patterns in programming code which indicate potential issues with software quality. Previous research resulted in the development of code smell detectors: automated… (more)

Subjects/Keywords: code smell; detection; android

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APA (6th Edition):

Lim, D. (. (2018). Detecting Code Smells in Android Applications. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:bab69ac3-07b7-4dae-8b80-670443af2faa

Chicago Manual of Style (16th Edition):

Lim, Dustin (author). “Detecting Code Smells in Android Applications.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:bab69ac3-07b7-4dae-8b80-670443af2faa.

MLA Handbook (7th Edition):

Lim, Dustin (author). “Detecting Code Smells in Android Applications.” 2018. Web. 23 Jan 2021.

Vancouver:

Lim D(. Detecting Code Smells in Android Applications. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:bab69ac3-07b7-4dae-8b80-670443af2faa.

Council of Science Editors:

Lim D(. Detecting Code Smells in Android Applications. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:bab69ac3-07b7-4dae-8b80-670443af2faa


Delft University of Technology

7. Hes, Robin (author). Insurance – A Machine Learning Perspective: Predicting Automobile Liability Insurance Pure Premiums Using Machine Learning Methods.

Degree: 2018, Delft University of Technology

This thesis explores the use of machine learning techniques in an effort to increase insurer competitiveness. It asks whether it is possible to accurately estimate the… (more)

Subjects/Keywords: insurance; Machine Learning; pure premium

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APA (6th Edition):

Hes, R. (. (2018). Insurance – A Machine Learning Perspective: Predicting Automobile Liability Insurance Pure Premiums Using Machine Learning Methods. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:643ed1a3-5eeb-4fc1-8a92-73a0b72f50cf

Chicago Manual of Style (16th Edition):

Hes, Robin (author). “Insurance – A Machine Learning Perspective: Predicting Automobile Liability Insurance Pure Premiums Using Machine Learning Methods.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:643ed1a3-5eeb-4fc1-8a92-73a0b72f50cf.

MLA Handbook (7th Edition):

Hes, Robin (author). “Insurance – A Machine Learning Perspective: Predicting Automobile Liability Insurance Pure Premiums Using Machine Learning Methods.” 2018. Web. 23 Jan 2021.

Vancouver:

Hes R(. Insurance – A Machine Learning Perspective: Predicting Automobile Liability Insurance Pure Premiums Using Machine Learning Methods. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:643ed1a3-5eeb-4fc1-8a92-73a0b72f50cf.

Council of Science Editors:

Hes R(. Insurance – A Machine Learning Perspective: Predicting Automobile Liability Insurance Pure Premiums Using Machine Learning Methods. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:643ed1a3-5eeb-4fc1-8a92-73a0b72f50cf


Delft University of Technology

8. Ni, Xianhao (author). Detecting speech from body movements: A look into the nature of speech based on neural networks and multi-source domain adaptation.

Degree: 2019, Delft University of Technology

 Our research focuses on speech detection from body movements using wearable accelerometer data collected in an in-the-wild mingling event. We aim to explore the nature… (more)

Subjects/Keywords: Speech Detection; Neural Network; Multi-source Domain Adaption

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APA (6th Edition):

Ni, X. (. (2019). Detecting speech from body movements: A look into the nature of speech based on neural networks and multi-source domain adaptation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0f79d992-7add-442e-a227-00e939b5bb83

Chicago Manual of Style (16th Edition):

Ni, Xianhao (author). “Detecting speech from body movements: A look into the nature of speech based on neural networks and multi-source domain adaptation.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:0f79d992-7add-442e-a227-00e939b5bb83.

MLA Handbook (7th Edition):

Ni, Xianhao (author). “Detecting speech from body movements: A look into the nature of speech based on neural networks and multi-source domain adaptation.” 2019. Web. 23 Jan 2021.

Vancouver:

Ni X(. Detecting speech from body movements: A look into the nature of speech based on neural networks and multi-source domain adaptation. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:0f79d992-7add-442e-a227-00e939b5bb83.

Council of Science Editors:

Ni X(. Detecting speech from body movements: A look into the nature of speech based on neural networks and multi-source domain adaptation. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:0f79d992-7add-442e-a227-00e939b5bb83


Delft University of Technology

9. Elghlan, Faris (author). One-Class Classification: for high-dimensional data.

Degree: 2019, Delft University of Technology

This M.Sc. thesis report investigates the application of one-class classification techniques to complex high-dimensional data. The aim of a one-class classifier is to separate target… (more)

Subjects/Keywords: one-class; classification; high-dimensional; Autoencoder; GAN; Wasserstein Autoencoder; Pattern Recognition; Machine Learning; Deep Learning

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APA (6th Edition):

Elghlan, F. (. (2019). One-Class Classification: for high-dimensional data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b5aabe84-8a8b-4841-848d-136ab6ce0825

Chicago Manual of Style (16th Edition):

Elghlan, Faris (author). “One-Class Classification: for high-dimensional data.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:b5aabe84-8a8b-4841-848d-136ab6ce0825.

MLA Handbook (7th Edition):

Elghlan, Faris (author). “One-Class Classification: for high-dimensional data.” 2019. Web. 23 Jan 2021.

Vancouver:

Elghlan F(. One-Class Classification: for high-dimensional data. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:b5aabe84-8a8b-4841-848d-136ab6ce0825.

Council of Science Editors:

Elghlan F(. One-Class Classification: for high-dimensional data. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:b5aabe84-8a8b-4841-848d-136ab6ce0825


Delft University of Technology

10. Quek, Yu Yang (author). Automatic Cattle Lameness Assessment with Markerless Cattle Pose Estimation.

Degree: 2019, Delft University of Technology

Lameness is characterized by abnormal gait and is an indicator of various hoof diseases in cattle. Not only does this raise animal welfare issues, it… (more)

Subjects/Keywords: cattle; Pose estimation; Pattern Recognition; gait analysis

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APA (6th Edition):

Quek, Y. Y. (. (2019). Automatic Cattle Lameness Assessment with Markerless Cattle Pose Estimation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:72f3bb83-56f4-4147-99f8-efafafdbd1f7

Chicago Manual of Style (16th Edition):

Quek, Yu Yang (author). “Automatic Cattle Lameness Assessment with Markerless Cattle Pose Estimation.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:72f3bb83-56f4-4147-99f8-efafafdbd1f7.

MLA Handbook (7th Edition):

Quek, Yu Yang (author). “Automatic Cattle Lameness Assessment with Markerless Cattle Pose Estimation.” 2019. Web. 23 Jan 2021.

Vancouver:

Quek YY(. Automatic Cattle Lameness Assessment with Markerless Cattle Pose Estimation. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:72f3bb83-56f4-4147-99f8-efafafdbd1f7.

Council of Science Editors:

Quek YY(. Automatic Cattle Lameness Assessment with Markerless Cattle Pose Estimation. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:72f3bb83-56f4-4147-99f8-efafafdbd1f7


Delft University of Technology

11. Rajwade, Rajesh (author). Magnetic Resonance Imaging motion correction in k-space: Detecting, estimating and correcting the bulk motion artifacts in k-space data.

Degree: 2019, Delft University of Technology

 Magnetic Resonance Imaging is a widely used technique to obtain images of the interior of the human body for diagnosis and treatment. MRI machines capture… (more)

Subjects/Keywords: MRI; Machine Learning; Image processing

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APA (6th Edition):

Rajwade, R. (. (2019). Magnetic Resonance Imaging motion correction in k-space: Detecting, estimating and correcting the bulk motion artifacts in k-space data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e8110167-840f-43d0-8336-3c7d45e7f3e4

Chicago Manual of Style (16th Edition):

Rajwade, Rajesh (author). “Magnetic Resonance Imaging motion correction in k-space: Detecting, estimating and correcting the bulk motion artifacts in k-space data.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:e8110167-840f-43d0-8336-3c7d45e7f3e4.

MLA Handbook (7th Edition):

Rajwade, Rajesh (author). “Magnetic Resonance Imaging motion correction in k-space: Detecting, estimating and correcting the bulk motion artifacts in k-space data.” 2019. Web. 23 Jan 2021.

Vancouver:

Rajwade R(. Magnetic Resonance Imaging motion correction in k-space: Detecting, estimating and correcting the bulk motion artifacts in k-space data. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:e8110167-840f-43d0-8336-3c7d45e7f3e4.

Council of Science Editors:

Rajwade R(. Magnetic Resonance Imaging motion correction in k-space: Detecting, estimating and correcting the bulk motion artifacts in k-space data. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:e8110167-840f-43d0-8336-3c7d45e7f3e4


Delft University of Technology

12. Das, Bishwadeep (author). Active Semi-Supervised Learning For Diffusions on Graphs.

Degree: 2019, Delft University of Technology

In statistical learning over large data-sets, labeling all points is expensive and time-consuming. Semi-supervised classification allows learning with very few labels. Naturally, selecting a few… (more)

Subjects/Keywords: active learning; semi-supervised learning; diffusion on graphs; sparse sensing; compressed sensing

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APA (6th Edition):

Das, B. (. (2019). Active Semi-Supervised Learning For Diffusions on Graphs. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ae389541-9316-47dd-8fbc-b96c92da3c3b

Chicago Manual of Style (16th Edition):

Das, Bishwadeep (author). “Active Semi-Supervised Learning For Diffusions on Graphs.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:ae389541-9316-47dd-8fbc-b96c92da3c3b.

MLA Handbook (7th Edition):

Das, Bishwadeep (author). “Active Semi-Supervised Learning For Diffusions on Graphs.” 2019. Web. 23 Jan 2021.

Vancouver:

Das B(. Active Semi-Supervised Learning For Diffusions on Graphs. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:ae389541-9316-47dd-8fbc-b96c92da3c3b.

Council of Science Editors:

Das B(. Active Semi-Supervised Learning For Diffusions on Graphs. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ae389541-9316-47dd-8fbc-b96c92da3c3b


Delft University of Technology

13. Montesinos García, Lucas (author). Audio-visual authentication for mobile devices.

Degree: 2018, Delft University of Technology

Authentication is becoming an increasingly important application in the connected world and is driven by the growing use of mobile and IoT devices that use… (more)

Subjects/Keywords: Authentication; Classification; Machine Learning; Computer Vision; Signal Detection Theory; Audio Classification; Verification

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APA (6th Edition):

Montesinos García, L. (. (2018). Audio-visual authentication for mobile devices. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0e8a2a7f-d188-47c9-9d7c-5721ac3056a1

Chicago Manual of Style (16th Edition):

Montesinos García, Lucas (author). “Audio-visual authentication for mobile devices.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:0e8a2a7f-d188-47c9-9d7c-5721ac3056a1.

MLA Handbook (7th Edition):

Montesinos García, Lucas (author). “Audio-visual authentication for mobile devices.” 2018. Web. 23 Jan 2021.

Vancouver:

Montesinos García L(. Audio-visual authentication for mobile devices. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:0e8a2a7f-d188-47c9-9d7c-5721ac3056a1.

Council of Science Editors:

Montesinos García L(. Audio-visual authentication for mobile devices. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:0e8a2a7f-d188-47c9-9d7c-5721ac3056a1


Delft University of Technology

14. Tollenaar, Veronica (author). Towards an Antarctic meteorite hotspot map.

Degree: 2020, Delft University of Technology

 Meteorites contain information on the formation and evolution of the Solar System. Antarctica is the most productive region for collecting meteorites, as the visually contrasting… (more)

Subjects/Keywords: Antarctica; meteorites; Remote sensing; Big Data Analysis; Machine Learning

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APA (6th Edition):

Tollenaar, V. (. (2020). Towards an Antarctic meteorite hotspot map. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a1b5b764-0ba0-42d1-8918-3e681a24a4a1

Chicago Manual of Style (16th Edition):

Tollenaar, Veronica (author). “Towards an Antarctic meteorite hotspot map.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:a1b5b764-0ba0-42d1-8918-3e681a24a4a1.

MLA Handbook (7th Edition):

Tollenaar, Veronica (author). “Towards an Antarctic meteorite hotspot map.” 2020. Web. 23 Jan 2021.

Vancouver:

Tollenaar V(. Towards an Antarctic meteorite hotspot map. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:a1b5b764-0ba0-42d1-8918-3e681a24a4a1.

Council of Science Editors:

Tollenaar V(. Towards an Antarctic meteorite hotspot map. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:a1b5b764-0ba0-42d1-8918-3e681a24a4a1


Delft University of Technology

15. van Gelderen, Mick (author). Stereoscopic Clustered Light Shading.

Degree: 2020, Delft University of Technology

 Real-time realistic rendering requires the evaluation of the influence of many light sources. In case of dynamic geometry or light sources, this evaluation must be… (more)

Subjects/Keywords: Real-Time Graphics; Clustered Light Shading; Stereoscopic Rendering; Virtual Reality; Light Culling

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APA (6th Edition):

van Gelderen, M. (. (2020). Stereoscopic Clustered Light Shading. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a4a37d6d-6eeb-4547-967a-826c05f27728

Chicago Manual of Style (16th Edition):

van Gelderen, Mick (author). “Stereoscopic Clustered Light Shading.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:a4a37d6d-6eeb-4547-967a-826c05f27728.

MLA Handbook (7th Edition):

van Gelderen, Mick (author). “Stereoscopic Clustered Light Shading.” 2020. Web. 23 Jan 2021.

Vancouver:

van Gelderen M(. Stereoscopic Clustered Light Shading. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:a4a37d6d-6eeb-4547-967a-826c05f27728.

Council of Science Editors:

van Gelderen M(. Stereoscopic Clustered Light Shading. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:a4a37d6d-6eeb-4547-967a-826c05f27728


Delft University of Technology

16. Konsolakis, Kostas (author). Physical Activity Recognition using Wearable Accelerometers in Controlled and Free-Living Environments.

Degree: 2018, Delft University of Technology

 Physical activity recognition through wearables has enabled the development of novel applications in healthcare. Most of the existing studies focus on predicting activities using wearable… (more)

Subjects/Keywords: Physical Activity; Activity Recognition; Wearables; Accelerometer; Wrist; Chest; Controlled Experiment; Uncontrolled Experiment

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APA (6th Edition):

Konsolakis, K. (. (2018). Physical Activity Recognition using Wearable Accelerometers in Controlled and Free-Living Environments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:af2e1786-ccc4-4592-afc8-b19819544f26

Chicago Manual of Style (16th Edition):

Konsolakis, Kostas (author). “Physical Activity Recognition using Wearable Accelerometers in Controlled and Free-Living Environments.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:af2e1786-ccc4-4592-afc8-b19819544f26.

MLA Handbook (7th Edition):

Konsolakis, Kostas (author). “Physical Activity Recognition using Wearable Accelerometers in Controlled and Free-Living Environments.” 2018. Web. 23 Jan 2021.

Vancouver:

Konsolakis K(. Physical Activity Recognition using Wearable Accelerometers in Controlled and Free-Living Environments. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:af2e1786-ccc4-4592-afc8-b19819544f26.

Council of Science Editors:

Konsolakis K(. Physical Activity Recognition using Wearable Accelerometers in Controlled and Free-Living Environments. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:af2e1786-ccc4-4592-afc8-b19819544f26


Delft University of Technology

17. Li, Yadong (author). Quantitative evaluation of Generative Adversarial Networks and improved training techniques.

Degree: 2018, Delft University of Technology

 Generative adversarial networks (GANs) are a class of generative models, for which the goal is to learn from training data and then to generate data… (more)

Subjects/Keywords: Generative Adversarial Networks; Quantitative Evaluation; Wasserstein GANs

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APA (6th Edition):

Li, Y. (. (2018). Quantitative evaluation of Generative Adversarial Networks and improved training techniques. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b01dcd2b-fdbd-4531-bf1b-0c0b2881df48

Chicago Manual of Style (16th Edition):

Li, Yadong (author). “Quantitative evaluation of Generative Adversarial Networks and improved training techniques.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:b01dcd2b-fdbd-4531-bf1b-0c0b2881df48.

MLA Handbook (7th Edition):

Li, Yadong (author). “Quantitative evaluation of Generative Adversarial Networks and improved training techniques.” 2018. Web. 23 Jan 2021.

Vancouver:

Li Y(. Quantitative evaluation of Generative Adversarial Networks and improved training techniques. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:b01dcd2b-fdbd-4531-bf1b-0c0b2881df48.

Council of Science Editors:

Li Y(. Quantitative evaluation of Generative Adversarial Networks and improved training techniques. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:b01dcd2b-fdbd-4531-bf1b-0c0b2881df48


Delft University of Technology

18. Jaspers, Ted (author). Elucidating families of ship designs using clustering algorithms.

Degree: 2017, Delft University of Technology

 The past decade the packing approach was developed at the TU Delft. This tool automatically generates tens of thousands of ship designs in order to… (more)

Subjects/Keywords: Design; Concept exploration; Packing Approach; Clustering algorithms; k-means; PCA

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APA (6th Edition):

Jaspers, T. (. (2017). Elucidating families of ship designs using clustering algorithms. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b1ad34a4-2ec9-4ac6-b0c2-7c8c27fb09e2

Chicago Manual of Style (16th Edition):

Jaspers, Ted (author). “Elucidating families of ship designs using clustering algorithms.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:b1ad34a4-2ec9-4ac6-b0c2-7c8c27fb09e2.

MLA Handbook (7th Edition):

Jaspers, Ted (author). “Elucidating families of ship designs using clustering algorithms.” 2017. Web. 23 Jan 2021.

Vancouver:

Jaspers T(. Elucidating families of ship designs using clustering algorithms. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:b1ad34a4-2ec9-4ac6-b0c2-7c8c27fb09e2.

Council of Science Editors:

Jaspers T(. Elucidating families of ship designs using clustering algorithms. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:b1ad34a4-2ec9-4ac6-b0c2-7c8c27fb09e2


Delft University of Technology

19. Wang, Yuyang (author). An automated ECG signal quality assessment method with supervised learning algorithm.

Degree: 2018, Delft University of Technology

 Wearable health has become a striking area in our daily life. Electrocardiogram (ECG) is one of the biomedical signals collected by the wearable or portable… (more)

Subjects/Keywords: ECG signal; quality assessment; Supervised Learning; Feature extraction; Feature selection

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APA (6th Edition):

Wang, Y. (. (2018). An automated ECG signal quality assessment method with supervised learning algorithm. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:41eab0f1-05a5-440c-a43b-f2f12b15a8aa

Chicago Manual of Style (16th Edition):

Wang, Yuyang (author). “An automated ECG signal quality assessment method with supervised learning algorithm.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:41eab0f1-05a5-440c-a43b-f2f12b15a8aa.

MLA Handbook (7th Edition):

Wang, Yuyang (author). “An automated ECG signal quality assessment method with supervised learning algorithm.” 2018. Web. 23 Jan 2021.

Vancouver:

Wang Y(. An automated ECG signal quality assessment method with supervised learning algorithm. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:41eab0f1-05a5-440c-a43b-f2f12b15a8aa.

Council of Science Editors:

Wang Y(. An automated ECG signal quality assessment method with supervised learning algorithm. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:41eab0f1-05a5-440c-a43b-f2f12b15a8aa


Delft University of Technology

20. Insani Abdi Bangsa, Abdi (author). System Building Blocks for Mathematical Operators Using Stochastic Resonance: Application in an Action Potential Detection System.

Degree: 2017, Delft University of Technology

 Stochastic resonance (SR) is a phenomenon where the performance of a nonlinear system subjected to noise is better than it is without noise. This phenomenon… (more)

Subjects/Keywords: stochastic resonance (SR); multiplier; adder; Teager Energy Operator (TEO); 1-bit processing

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APA (6th Edition):

Insani Abdi Bangsa, A. (. (2017). System Building Blocks for Mathematical Operators Using Stochastic Resonance: Application in an Action Potential Detection System. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4b87974d-a736-4d34-bd36-d4aafd25da9b

Chicago Manual of Style (16th Edition):

Insani Abdi Bangsa, Abdi (author). “System Building Blocks for Mathematical Operators Using Stochastic Resonance: Application in an Action Potential Detection System.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:4b87974d-a736-4d34-bd36-d4aafd25da9b.

MLA Handbook (7th Edition):

Insani Abdi Bangsa, Abdi (author). “System Building Blocks for Mathematical Operators Using Stochastic Resonance: Application in an Action Potential Detection System.” 2017. Web. 23 Jan 2021.

Vancouver:

Insani Abdi Bangsa A(. System Building Blocks for Mathematical Operators Using Stochastic Resonance: Application in an Action Potential Detection System. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:4b87974d-a736-4d34-bd36-d4aafd25da9b.

Council of Science Editors:

Insani Abdi Bangsa A(. System Building Blocks for Mathematical Operators Using Stochastic Resonance: Application in an Action Potential Detection System. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:4b87974d-a736-4d34-bd36-d4aafd25da9b


Delft University of Technology

21. van der Lugt, P.W. (author). An Assessment of Cloud Detection Methods Concerning High Altitude Snow and Glacial Environments With Sentinel-2.

Degree: 2017, Delft University of Technology

 Glacier fluctuations are regarded as one of the most significant indicators of climate change. The expansion and contraction of glaciers can be observed by outlining… (more)

Subjects/Keywords: cloud; clouds; mountain; mountains; himalaya; glacier; glaciers; snow; ice; satellite; sentinel-2; assessment; fmask; sen2cor; detection; classification; india; himachal pradesh; tibetan plateau; landsat 8

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APA (6th Edition):

van der Lugt, P. W. (. (2017). An Assessment of Cloud Detection Methods Concerning High Altitude Snow and Glacial Environments With Sentinel-2. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4c1fe634-d603-472c-a198-05126dd5ff0d

Chicago Manual of Style (16th Edition):

van der Lugt, P W (author). “An Assessment of Cloud Detection Methods Concerning High Altitude Snow and Glacial Environments With Sentinel-2.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:4c1fe634-d603-472c-a198-05126dd5ff0d.

MLA Handbook (7th Edition):

van der Lugt, P W (author). “An Assessment of Cloud Detection Methods Concerning High Altitude Snow and Glacial Environments With Sentinel-2.” 2017. Web. 23 Jan 2021.

Vancouver:

van der Lugt PW(. An Assessment of Cloud Detection Methods Concerning High Altitude Snow and Glacial Environments With Sentinel-2. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:4c1fe634-d603-472c-a198-05126dd5ff0d.

Council of Science Editors:

van der Lugt PW(. An Assessment of Cloud Detection Methods Concerning High Altitude Snow and Glacial Environments With Sentinel-2. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:4c1fe634-d603-472c-a198-05126dd5ff0d


Delft University of Technology

22. Ortiz Jimenez, Guillermo (author). Multidomain Graph Signal Processing: Learning and Sampling.

Degree: 2018, Delft University of Technology

 In this era of data deluge, we are overwhelmed with massive volumes of extremely complex datasets. Data generated today is complex because it lacks a… (more)

Subjects/Keywords: deep learning; graph signal processing; sparse sampling; product graphs; submodular optimization; tensors

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APA (6th Edition):

Ortiz Jimenez, G. (. (2018). Multidomain Graph Signal Processing: Learning and Sampling. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7

Chicago Manual of Style (16th Edition):

Ortiz Jimenez, Guillermo (author). “Multidomain Graph Signal Processing: Learning and Sampling.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7.

MLA Handbook (7th Edition):

Ortiz Jimenez, Guillermo (author). “Multidomain Graph Signal Processing: Learning and Sampling.” 2018. Web. 23 Jan 2021.

Vancouver:

Ortiz Jimenez G(. Multidomain Graph Signal Processing: Learning and Sampling. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7.

Council of Science Editors:

Ortiz Jimenez G(. Multidomain Graph Signal Processing: Learning and Sampling. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7


Delft University of Technology

23. Brands, Thijs (author). PaDAWaNS: Proactive Domain Abuse Warning and Notification System.

Degree: 2019, Delft University of Technology

The counterfeit market is rapidly expanding into the online realm. Large amounts of fraudulent webshops advertise luxury clothing and fashion accessories, but ship counterfeit products… (more)

Subjects/Keywords: fraud detection; cybersecurity; Internet

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APA (6th Edition):

Brands, T. (. (2019). PaDAWaNS: Proactive Domain Abuse Warning and Notification System. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7c308b9f-37ff-43ac-bac3-58da4ad475a3

Chicago Manual of Style (16th Edition):

Brands, Thijs (author). “PaDAWaNS: Proactive Domain Abuse Warning and Notification System.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:7c308b9f-37ff-43ac-bac3-58da4ad475a3.

MLA Handbook (7th Edition):

Brands, Thijs (author). “PaDAWaNS: Proactive Domain Abuse Warning and Notification System.” 2019. Web. 23 Jan 2021.

Vancouver:

Brands T(. PaDAWaNS: Proactive Domain Abuse Warning and Notification System. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:7c308b9f-37ff-43ac-bac3-58da4ad475a3.

Council of Science Editors:

Brands T(. PaDAWaNS: Proactive Domain Abuse Warning and Notification System. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:7c308b9f-37ff-43ac-bac3-58da4ad475a3


Delft University of Technology

24. Naseri Jahfari, Arman (author). Domain Adaptation in Acoustic Rainfall Sensors.

Degree: 2019, Delft University of Technology

 Rainfall is increasing in frequency and intensity due to climate change. Hydrological models exist that can report bottlenecks in urban infrastructures. However, these require accurate… (more)

Subjects/Keywords: Domain Adaptation; Pattern Recognition; Rainfall estimation; Acoustic Sensor

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APA (6th Edition):

Naseri Jahfari, A. (. (2019). Domain Adaptation in Acoustic Rainfall Sensors. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a4b79bdf-e15d-49c7-ac50-3cfe0dbe5940

Chicago Manual of Style (16th Edition):

Naseri Jahfari, Arman (author). “Domain Adaptation in Acoustic Rainfall Sensors.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:a4b79bdf-e15d-49c7-ac50-3cfe0dbe5940.

MLA Handbook (7th Edition):

Naseri Jahfari, Arman (author). “Domain Adaptation in Acoustic Rainfall Sensors.” 2019. Web. 23 Jan 2021.

Vancouver:

Naseri Jahfari A(. Domain Adaptation in Acoustic Rainfall Sensors. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:a4b79bdf-e15d-49c7-ac50-3cfe0dbe5940.

Council of Science Editors:

Naseri Jahfari A(. Domain Adaptation in Acoustic Rainfall Sensors. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:a4b79bdf-e15d-49c7-ac50-3cfe0dbe5940


Delft University of Technology

25. Papadakis, Manolis (author). Face recognition using traditional machine learning algorithms and deep neural networks with application to face verification.

Degree: 2019, Delft University of Technology

Biometrics authentication has been very useful and necessary nowadays due to the great developments in technology and the transaction of huge amounts of sensitive data… (more)

Subjects/Keywords: Face Recognition; Deep learning; Pattern Recognition; Computer vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Papadakis, M. (. (2019). Face recognition using traditional machine learning algorithms and deep neural networks with application to face verification. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:19acdc96-d4dc-4ba4-8138-010250f8bf6f

Chicago Manual of Style (16th Edition):

Papadakis, Manolis (author). “Face recognition using traditional machine learning algorithms and deep neural networks with application to face verification.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:19acdc96-d4dc-4ba4-8138-010250f8bf6f.

MLA Handbook (7th Edition):

Papadakis, Manolis (author). “Face recognition using traditional machine learning algorithms and deep neural networks with application to face verification.” 2019. Web. 23 Jan 2021.

Vancouver:

Papadakis M(. Face recognition using traditional machine learning algorithms and deep neural networks with application to face verification. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:19acdc96-d4dc-4ba4-8138-010250f8bf6f.

Council of Science Editors:

Papadakis M(. Face recognition using traditional machine learning algorithms and deep neural networks with application to face verification. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:19acdc96-d4dc-4ba4-8138-010250f8bf6f


Delft University of Technology

26. Pluim, Joost (author). An analysis of Generative Adversarial Networks on lower dimensional spaces.

Degree: 2019, Delft University of Technology

Generative Adversarial Networks (GANs) provide a new way of generating data. In this thesis, a strictly controlled parameter space is introduced from which a sample… (more)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pluim, J. (. (2019). An analysis of Generative Adversarial Networks on lower dimensional spaces. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a84af010-f0b8-48e7-a017-9fe98ca902ee

Chicago Manual of Style (16th Edition):

Pluim, Joost (author). “An analysis of Generative Adversarial Networks on lower dimensional spaces.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:a84af010-f0b8-48e7-a017-9fe98ca902ee.

MLA Handbook (7th Edition):

Pluim, Joost (author). “An analysis of Generative Adversarial Networks on lower dimensional spaces.” 2019. Web. 23 Jan 2021.

Vancouver:

Pluim J(. An analysis of Generative Adversarial Networks on lower dimensional spaces. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:a84af010-f0b8-48e7-a017-9fe98ca902ee.

Council of Science Editors:

Pluim J(. An analysis of Generative Adversarial Networks on lower dimensional spaces. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:a84af010-f0b8-48e7-a017-9fe98ca902ee


Delft University of Technology

27. Dai, Lu (author). A machine learning approach for optimisation in railway planning.

Degree: 2018, Delft University of Technology

Planning and scheduling problem is a hard problem, especially in real life cases. The time and space complexity increase quickly along with the increase of… (more)

Subjects/Keywords: Planning & scheduling algorithms; Machine learning; Local search algorithm; Imbalanced learning; Feature extraction

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APA (6th Edition):

Dai, L. (. (2018). A machine learning approach for optimisation in railway planning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:20170a8c-7e1e-434f-b5d6-9ba933e2ab6e

Chicago Manual of Style (16th Edition):

Dai, Lu (author). “A machine learning approach for optimisation in railway planning.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:20170a8c-7e1e-434f-b5d6-9ba933e2ab6e.

MLA Handbook (7th Edition):

Dai, Lu (author). “A machine learning approach for optimisation in railway planning.” 2018. Web. 23 Jan 2021.

Vancouver:

Dai L(. A machine learning approach for optimisation in railway planning. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:20170a8c-7e1e-434f-b5d6-9ba933e2ab6e.

Council of Science Editors:

Dai L(. A machine learning approach for optimisation in railway planning. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:20170a8c-7e1e-434f-b5d6-9ba933e2ab6e


Delft University of Technology

28. Kolthof, Daan (author). Recognizing and Handling Negations in Machine Learning.

Degree: 2018, Delft University of Technology

 In several machine learning problems, a relatively small subproblem is present in which combinations of (negating) objects or structures result in a negation or otherwise… (more)

Subjects/Keywords: Machine Learning; Neural Networks; Natural Language Processing; sentiment analysis; sentiment classification; Word embedding; Negation Handling; Negation Recognition

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APA (6th Edition):

Kolthof, D. (. (2018). Recognizing and Handling Negations in Machine Learning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:caa1b4b3-59ca-4290-b95e-84190c54b787

Chicago Manual of Style (16th Edition):

Kolthof, Daan (author). “Recognizing and Handling Negations in Machine Learning.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:caa1b4b3-59ca-4290-b95e-84190c54b787.

MLA Handbook (7th Edition):

Kolthof, Daan (author). “Recognizing and Handling Negations in Machine Learning.” 2018. Web. 23 Jan 2021.

Vancouver:

Kolthof D(. Recognizing and Handling Negations in Machine Learning. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:caa1b4b3-59ca-4290-b95e-84190c54b787.

Council of Science Editors:

Kolthof D(. Recognizing and Handling Negations in Machine Learning. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:caa1b4b3-59ca-4290-b95e-84190c54b787


Delft University of Technology

29. Mandersloot, Jeroen (author). Model-based rare category detection for temporal data.

Degree: 2018, Delft University of Technology

 Rare category detection is the task of discovering rare classes in unlabelled and imbalanced datasets. Existing algorithms focus almost exclusively on static data in which… (more)

Subjects/Keywords: rare category detection; temporal data; semi-supervised learning; mixture models; markov random fields

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mandersloot, J. (. (2018). Model-based rare category detection for temporal data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:80755ee1-95c9-4b7d-b828-fff818ceadd4

Chicago Manual of Style (16th Edition):

Mandersloot, Jeroen (author). “Model-based rare category detection for temporal data.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:80755ee1-95c9-4b7d-b828-fff818ceadd4.

MLA Handbook (7th Edition):

Mandersloot, Jeroen (author). “Model-based rare category detection for temporal data.” 2018. Web. 23 Jan 2021.

Vancouver:

Mandersloot J(. Model-based rare category detection for temporal data. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:80755ee1-95c9-4b7d-b828-fff818ceadd4.

Council of Science Editors:

Mandersloot J(. Model-based rare category detection for temporal data. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:80755ee1-95c9-4b7d-b828-fff818ceadd4


Delft University of Technology

30. Warmerdam, Santor (author). Features for instrument recognition in polyphonic mixes.

Degree: 2017, Delft University of Technology

 Automated instrument recognition is necessary to efficiently obtain instrumentation information for the existing large collections of digital music. While automated instrument recognition is possible with… (more)

Subjects/Keywords: machine learning; MFCC; Self-similarity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Warmerdam, S. (. (2017). Features for instrument recognition in polyphonic mixes. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:821ec991-7bdf-404f-bf26-48d3098126d5

Chicago Manual of Style (16th Edition):

Warmerdam, Santor (author). “Features for instrument recognition in polyphonic mixes.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:821ec991-7bdf-404f-bf26-48d3098126d5.

MLA Handbook (7th Edition):

Warmerdam, Santor (author). “Features for instrument recognition in polyphonic mixes.” 2017. Web. 23 Jan 2021.

Vancouver:

Warmerdam S(. Features for instrument recognition in polyphonic mixes. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:821ec991-7bdf-404f-bf26-48d3098126d5.

Council of Science Editors:

Warmerdam S(. Features for instrument recognition in polyphonic mixes. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:821ec991-7bdf-404f-bf26-48d3098126d5

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