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University: KTH

You searched for subject:(Information classification). Showing records 1 – 25 of 25 total matches.

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KTH

1. Huss, Jakob. Cross Site Product Page Classification with Supervised Machine Learning.

Degree: Computer Science and Communication (CSC), 2016, KTH

  This work outlines a possible technique for identifying webpages that contain product  specifications. Using support vector machines a product web page classifier was constructed… (more)

Subjects/Keywords: svm support vector machine product page classification; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Huss, J. (2016). Cross Site Product Page Classification with Supervised Machine Learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huss, Jakob. “Cross Site Product Page Classification with Supervised Machine Learning.” 2016. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huss, Jakob. “Cross Site Product Page Classification with Supervised Machine Learning.” 2016. Web. 14 Nov 2019.

Vancouver:

Huss J. Cross Site Product Page Classification with Supervised Machine Learning. [Internet] [Thesis]. KTH; 2016. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huss J. Cross Site Product Page Classification with Supervised Machine Learning. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

2. Letzner, Josefine. Analysis of Emergency Medical Transport Datasets using Machine Learning.

Degree: Computer Science and Communication (CSC), 2017, KTH

The selection of hospital once an ambulance has picked up its patient is today decided by the ambulance staff. This report describes a supervised… (more)

Subjects/Keywords: machine learning; supervised learning; multiclass classification; EMS; Computer and Information Sciences; Data- och informationsvetenskap

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APA (6th Edition):

Letzner, J. (2017). Analysis of Emergency Medical Transport Datasets using Machine Learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215162

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Letzner, Josefine. “Analysis of Emergency Medical Transport Datasets using Machine Learning.” 2017. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215162.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Letzner, Josefine. “Analysis of Emergency Medical Transport Datasets using Machine Learning.” 2017. Web. 14 Nov 2019.

Vancouver:

Letzner J. Analysis of Emergency Medical Transport Datasets using Machine Learning. [Internet] [Thesis]. KTH; 2017. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215162.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Letzner J. Analysis of Emergency Medical Transport Datasets using Machine Learning. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215162

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

3. Sekandari, Zohib. Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Study Objective: The emergency department (ED) in the United States strongly rely on subjective assessment of patients. This study seeks to evaluate an electronic… (more)

Subjects/Keywords: Machine Learning; Triage; ESI; Classification; Maskininlärning; ESI; Klassificering; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Sekandari, Z. (2019). Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sekandari, Zohib. “Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sekandari, Zohib. “Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models.” 2019. Web. 14 Nov 2019.

Vancouver:

Sekandari Z. Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sekandari Z. Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

4. Annergren, Björn. Log Classification using a Shallow-and-Wide Convolutional Neural Network and Log Keys.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

A dataset consisting of logs describing results of tests from a single Build and Test process, used in a Continous Integration setting, is utilized… (more)

Subjects/Keywords: log classification; log keys; natural language processing; Other Electrical Engineering, Electronic Engineering, Information Engineering; Annan elektroteknik och elektronik

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

APA (6th Edition):

Annergren, B. (2018). Log Classification using a Shallow-and-Wide Convolutional Neural Network and Log Keys. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239561

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Annergren, Björn. “Log Classification using a Shallow-and-Wide Convolutional Neural Network and Log Keys.” 2018. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239561.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Annergren, Björn. “Log Classification using a Shallow-and-Wide Convolutional Neural Network and Log Keys.” 2018. Web. 14 Nov 2019.

Vancouver:

Annergren B. Log Classification using a Shallow-and-Wide Convolutional Neural Network and Log Keys. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239561.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Annergren B. Log Classification using a Shallow-and-Wide Convolutional Neural Network and Log Keys. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239561

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

5. Krishnan, Sharenya. Text-Based Information Retrieval Using Relevance Feedback.

Degree: Information and Communication Technology (ICT), 2011, KTH

  Europeana, a freely accessible digital library with an idea to make Europe's cultural and scientific heritage available to the public was founded by the… (more)

Subjects/Keywords: Information Retrieval; Relevance Feedback; Query Expansion; Rocchio classification; Probabilistic model; Lucene; Similarity scoring function; Kullback-Leibler Divergence (KLD); TECHNOLOGY; TEKNIKVETENSKAP

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

APA (6th Edition):

Krishnan, S. (2011). Text-Based Information Retrieval Using Relevance Feedback. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53603

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krishnan, Sharenya. “Text-Based Information Retrieval Using Relevance Feedback.” 2011. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53603.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krishnan, Sharenya. “Text-Based Information Retrieval Using Relevance Feedback.” 2011. Web. 14 Nov 2019.

Vancouver:

Krishnan S. Text-Based Information Retrieval Using Relevance Feedback. [Internet] [Thesis]. KTH; 2011. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53603.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krishnan S. Text-Based Information Retrieval Using Relevance Feedback. [Thesis]. KTH; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53603

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

6. Grancharova, Mila. Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

With the development in the area of machine learning, society has become more dependent on applications that build on machine learning techniques. Despite this,… (more)

Subjects/Keywords: text classification; supervised learning; preprocessing; textklassificering; övervakad inlärning; förbehandlingstekniker; Computer and Information Sciences; Data- och informationsvetenskap

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APA (6th Edition):

Grancharova, M. (2018). Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Grancharova, Mila. “Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification.” 2018. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Grancharova, Mila. “Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification.” 2018. Web. 14 Nov 2019.

Vancouver:

Grancharova M. Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grancharova M. Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

7. Claesson, Philip. Re-synthesis of instrumental sounds with Machine Learning and a Frequency Modulation synthesizer.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Frequency Modulation (FM) based re-synthesis to find the parameter values which best make a FM-synthesizer produce an output sound as similar as possible to… (more)

Subjects/Keywords: machine learning; regression; classification; frequency modulation synthesis; re-synthesis;

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

APA (6th Edition):

Claesson, P. (2019). Re-synthesis of instrumental sounds with Machine Learning and a Frequency Modulation synthesizer. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Claesson, Philip. “Re-synthesis of instrumental sounds with Machine Learning and a Frequency Modulation synthesizer.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Claesson, Philip. “Re-synthesis of instrumental sounds with Machine Learning and a Frequency Modulation synthesizer.” 2019. Web. 14 Nov 2019.

Vancouver:

Claesson P. Re-synthesis of instrumental sounds with Machine Learning and a Frequency Modulation synthesizer. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Claesson P. Re-synthesis of instrumental sounds with Machine Learning and a Frequency Modulation synthesizer. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

8. Kästel, Arne Morten. Comparing performance of K-Means and DBSCAN on customer support queries.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

In customer support, there are often a lot of repeat questions, and questions that does not need novel answers. In a quest to increase… (more)

Subjects/Keywords: Classification; Digital Transformation; Natural language processing; Short text clustering.; Digital transformation; Klassifikation; Klusteranalys; Språkteknologi.; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Kästel, A. M. (2019). Comparing performance of K-Means and DBSCAN on customer support queries. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260252

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kästel, Arne Morten. “Comparing performance of K-Means and DBSCAN on customer support queries.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260252.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kästel, Arne Morten. “Comparing performance of K-Means and DBSCAN on customer support queries.” 2019. Web. 14 Nov 2019.

Vancouver:

Kästel AM. Comparing performance of K-Means and DBSCAN on customer support queries. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260252.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kästel AM. Comparing performance of K-Means and DBSCAN on customer support queries. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260252

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

9. Munoz, Mario Gonzalez. Predicting Customer Behavior in E-commerce using Machine Learning.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

E-handel har varit en snabbt växande sektor de senaste åren och förväntas fortsätta växa i samma takt under de närmsta. Detta har öppnat upp… (more)

Subjects/Keywords: Machine Learning; Classification; Customer Behavior; E-Commerce; Logistic Regression; Data Processing; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Munoz, M. G. (2019). Predicting Customer Behavior in E-commerce using Machine Learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260269

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Munoz, Mario Gonzalez. “Predicting Customer Behavior in E-commerce using Machine Learning.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260269.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Munoz, Mario Gonzalez. “Predicting Customer Behavior in E-commerce using Machine Learning.” 2019. Web. 14 Nov 2019.

Vancouver:

Munoz MG. Predicting Customer Behavior in E-commerce using Machine Learning. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260269.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Munoz MG. Predicting Customer Behavior in E-commerce using Machine Learning. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260269

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

10. Teljstedt, Erik Christopher. Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data.

Degree: Computer Science and Communication (CSC), 2016, KTH

In this thesis, we have studied the problem of detecting automated Twitter accounts related to the Ukraine conflict using supervised learning. A striking problem… (more)

Subjects/Keywords: bot detection; information operations; synthetically constructed training data; social media analysis; classification; learning systems; social networking (online); bot detection; classification performance; classification results; machine learning approaches; military conflicts; semi-automatic; automation; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Teljstedt, E. C. (2016). Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192656

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Teljstedt, Erik Christopher. “Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data.” 2016. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192656.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Teljstedt, Erik Christopher. “Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data.” 2016. Web. 14 Nov 2019.

Vancouver:

Teljstedt EC. Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data. [Internet] [Thesis]. KTH; 2016. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192656.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Teljstedt EC. Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192656

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

11. Rodenas, Alfonso Marin. Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-government setting.

Degree: Information and Communication Technology (ICT), 2011, KTH

  Nowadays email is commonly used by citizens to establish communication with their government. On the received emails, governments deal with some common queries and… (more)

Subjects/Keywords: E-government; machine learning; WEKA; SVM; Naive Bayes; kNN; Swedish; PoStagging; feature extraction; feature selection; automatic e-mail classification; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Rodenas, A. M. (2011). Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-government setting. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rodenas, Alfonso Marin. “Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-government setting.” 2011. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rodenas, Alfonso Marin. “Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-government setting.” 2011. Web. 14 Nov 2019.

Vancouver:

Rodenas AM. Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-government setting. [Internet] [Thesis]. KTH; 2011. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rodenas AM. Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-government setting. [Thesis]. KTH; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

12. Barai, Milad. Impact of data augmentations when training the Inception model for image classification.

Degree: Information and Communication Technology (ICT), 2017, KTH

Image classification is the process of identifying to which class a previously unobserved object belongs to. Classifying images is a commonly occurring task in… (more)

Subjects/Keywords: Image Classification; Image Recognition; Inception; Data Augmentation; Convolutional Neural Network; Machine Learning; Bildklassificering; Bildigenkänning; Inception; Data förändring; Convolutional Neural Network; Maskininlärning; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Barai, M. (2017). Impact of data augmentations when training the Inception model for image classification. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Barai, Milad. “Impact of data augmentations when training the Inception model for image classification.” 2017. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Barai, Milad. “Impact of data augmentations when training the Inception model for image classification.” 2017. Web. 14 Nov 2019.

Vancouver:

Barai M. Impact of data augmentations when training the Inception model for image classification. [Internet] [Thesis]. KTH; 2017. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barai M. Impact of data augmentations when training the Inception model for image classification. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

13. Håkansson, Ellinor. A Deep Learning Approach to Predicting Diagnosis Code from Electronic Health Records.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Electronic Health Record (EHR) is an umbrella term encompassing demographics and health information of a patient from many different sources in a digital format.… (more)

Subjects/Keywords: EHR; diagnosis code; ICD-10; classification; deep learning; Multi-layer Perceptron.; EHR; diagnoskod; ICD-10; klassificering; djupinlärning; Multi-layer Perceptron.; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Håkansson, E. (2018). A Deep Learning Approach to Predicting Diagnosis Code from Electronic Health Records. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240599

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Håkansson, Ellinor. “A Deep Learning Approach to Predicting Diagnosis Code from Electronic Health Records.” 2018. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240599.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Håkansson, Ellinor. “A Deep Learning Approach to Predicting Diagnosis Code from Electronic Health Records.” 2018. Web. 14 Nov 2019.

Vancouver:

Håkansson E. A Deep Learning Approach to Predicting Diagnosis Code from Electronic Health Records. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240599.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Håkansson E. A Deep Learning Approach to Predicting Diagnosis Code from Electronic Health Records. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240599

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

14. Droh, Erik. T-Distributed Stochastic Neighbor Embedding Data Preprocessing Impact on Image Classification using Deep Convolutional Neural Networks.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Image classification in Machine Learning encompasses the task of identification of objects in an image. The technique has applications in various areas such as… (more)

Subjects/Keywords: Machine learning; Image classification; t-SNE; Preprocessing; Neural networks; Deep learning; Maskininlärning; Bildklassificering; t-SNE; Dataförbehandling; Neurala nätverk; Djup maskininlärning; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Droh, E. (2018). T-Distributed Stochastic Neighbor Embedding Data Preprocessing Impact on Image Classification using Deep Convolutional Neural Networks. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237422

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Droh, Erik. “T-Distributed Stochastic Neighbor Embedding Data Preprocessing Impact on Image Classification using Deep Convolutional Neural Networks.” 2018. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237422.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Droh, Erik. “T-Distributed Stochastic Neighbor Embedding Data Preprocessing Impact on Image Classification using Deep Convolutional Neural Networks.” 2018. Web. 14 Nov 2019.

Vancouver:

Droh E. T-Distributed Stochastic Neighbor Embedding Data Preprocessing Impact on Image Classification using Deep Convolutional Neural Networks. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237422.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Droh E. T-Distributed Stochastic Neighbor Embedding Data Preprocessing Impact on Image Classification using Deep Convolutional Neural Networks. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237422

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

15. Yadav, Jyoti. Fuzzer Test Log Analysis Using Machine Learning : Framework to analyze logs and provide feedback to guide the fuzzer.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

In this modern world machine learning and deep learning have become popular choice for analysis and identifying various patterns on data in large volumes.… (more)

Subjects/Keywords: Similarity Measures; Distance function; Machine learning; Clustering; Classification; Benchmarking; Likhetsåtgärder Avståndsfunktion; Maskininlärning; klustring; Klassificering; benchmarking; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Yadav, J. (2018). Fuzzer Test Log Analysis Using Machine Learning : Framework to analyze logs and provide feedback to guide the fuzzer. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254893

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yadav, Jyoti. “Fuzzer Test Log Analysis Using Machine Learning : Framework to analyze logs and provide feedback to guide the fuzzer.” 2018. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254893.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yadav, Jyoti. “Fuzzer Test Log Analysis Using Machine Learning : Framework to analyze logs and provide feedback to guide the fuzzer.” 2018. Web. 14 Nov 2019.

Vancouver:

Yadav J. Fuzzer Test Log Analysis Using Machine Learning : Framework to analyze logs and provide feedback to guide the fuzzer. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254893.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yadav J. Fuzzer Test Log Analysis Using Machine Learning : Framework to analyze logs and provide feedback to guide the fuzzer. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254893

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

16. Du, Zekun. Algorithm Design and Optimization of Convolutional Neural Networks Implemented on FPGAs.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Deep learning develops rapidly in recent years. It has been applied to many fields, which are the main areas of artificial intelligence. The combination… (more)

Subjects/Keywords: Image Classification; Convolutional Neural Network; Top-1 Error; FPGA; Hardware Simulation; Bild Klassificering; Konvolutionellt neuralt nätverk; Top-1 Error; FPGA; Maskinvaru Simulering; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Du, Z. (2019). Algorithm Design and Optimization of Convolutional Neural Networks Implemented on FPGAs. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254575

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Du, Zekun. “Algorithm Design and Optimization of Convolutional Neural Networks Implemented on FPGAs.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254575.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Du, Zekun. “Algorithm Design and Optimization of Convolutional Neural Networks Implemented on FPGAs.” 2019. Web. 14 Nov 2019.

Vancouver:

Du Z. Algorithm Design and Optimization of Convolutional Neural Networks Implemented on FPGAs. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254575.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Du Z. Algorithm Design and Optimization of Convolutional Neural Networks Implemented on FPGAs. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254575

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

17. Berglöf, Olle. Effects of Transfer Learning on Data Augmentation with Generative Adversarial Networks.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Data augmentation is a technique that acquires more training data by augmenting available samples, where the training data is used to fit model parameters.… (more)

Subjects/Keywords: data augmentation; generative adversarial networks; GAN; image classification; transfer learning; image generator; generating training data; machine learning; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Berglöf, O. (2019). Effects of Transfer Learning on Data Augmentation with Generative Adversarial Networks. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259485

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Berglöf, Olle. “Effects of Transfer Learning on Data Augmentation with Generative Adversarial Networks.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259485.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Berglöf, Olle. “Effects of Transfer Learning on Data Augmentation with Generative Adversarial Networks.” 2019. Web. 14 Nov 2019.

Vancouver:

Berglöf O. Effects of Transfer Learning on Data Augmentation with Generative Adversarial Networks. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259485.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Berglöf O. Effects of Transfer Learning on Data Augmentation with Generative Adversarial Networks. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259485

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

18. Lekic, Sasa. Intent classification through conversational interfaces : Classification within a small domain.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Natural language processing and Machine learning are subjects undergoing intense study nowadays. These fields are continually spreading, and are more interrelated than ever before.… (more)

Subjects/Keywords: Intent classification; input categorisation; conversational interfaces; SVM; Word2Vec; BERT; small domain; Avsiktsklassificering; input kategorisering; conversational interfaces; SVM; Word2Vec; BERT; begränsad domän; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Lekic, S. (2019). Intent classification through conversational interfaces : Classification within a small domain. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lekic, Sasa. “Intent classification through conversational interfaces : Classification within a small domain.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lekic, Sasa. “Intent classification through conversational interfaces : Classification within a small domain.” 2019. Web. 14 Nov 2019.

Vancouver:

Lekic S. Intent classification through conversational interfaces : Classification within a small domain. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lekic S. Intent classification through conversational interfaces : Classification within a small domain. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

19. Enerstrand, Simon. Klassificering av kvitton med hjälp av maskininlärning.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Maskininlärning nyttjas inom fler och fler områden. Det har potential att ersätta många repetitiva arbetsuppgifter, eller åtminstone förenkla dem. Dokumenthantering inom ekonomisystem är ett… (more)

Subjects/Keywords: Machine learning; Text classification; Tensorflow; Convolutional Neural Network; Python; Maskininlärning; Textklassificering; Tensorflow; Convolutional Neural Network; Python; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Enerstrand, S. (2019). Klassificering av kvitton med hjälp av maskininlärning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Enerstrand, Simon. “Klassificering av kvitton med hjälp av maskininlärning.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Enerstrand, Simon. “Klassificering av kvitton med hjälp av maskininlärning.” 2019. Web. 14 Nov 2019.

Vancouver:

Enerstrand S. Klassificering av kvitton med hjälp av maskininlärning. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Enerstrand S. Klassificering av kvitton med hjälp av maskininlärning. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

20. Montelius, Lovisa. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Breast cancer is one of the most common cancers among women in the world, and the average error rate among radiologists during diagnosis is… (more)

Subjects/Keywords: Deep learning; Convolutional neural network; Transfer learning; Computer-aided diagnosis; Breast cancer; Breast mass classification; Breast mass context;

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

APA (6th Edition):

Montelius, L. (2019). Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259993

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Montelius, Lovisa. “Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259993.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Montelius, Lovisa. “Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification.” 2019. Web. 14 Nov 2019.

Vancouver:

Montelius L. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259993.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Montelius L. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259993

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

21. Srinivaasan, Gayathri. Malicious Entity Categorization using Graph modelling.

Degree: Information and Communication Technology (ICT), 2016, KTH

Today, malware authors not only write malicious software but also employ obfuscation, polymorphism, packing and endless such evasive techniques to escape detection by Anti-Virus… (more)

Subjects/Keywords: malware; classification; graph modelling; graph mining; downloader; payload; URL; file sample; graph traversal; malware; klassificering; graf modellering; graf gruvdrift; dataöverföring; nyttolast; URL; fil prov; graf traverse; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Srinivaasan, G. (2016). Malicious Entity Categorization using Graph modelling. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202980

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Srinivaasan, Gayathri. “Malicious Entity Categorization using Graph modelling.” 2016. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202980.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Srinivaasan, Gayathri. “Malicious Entity Categorization using Graph modelling.” 2016. Web. 14 Nov 2019.

Vancouver:

Srinivaasan G. Malicious Entity Categorization using Graph modelling. [Internet] [Thesis]. KTH; 2016. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202980.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Srinivaasan G. Malicious Entity Categorization using Graph modelling. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202980

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

22. Kotriwala, Arzam Muzaffar. Load Forecasting for Temporary Power Installations : A Machine Learning Approach.

Degree: Information and Communication Technology (ICT), 2017, KTH

Sports events, festivals, construction sites, and film sites are examples of cases where power is required temporarily and often away from the power grid.… (more)

Subjects/Keywords: Load Forecasting; Load Classification; Temporary Power Installations; Machine Learning; Clustering; Time Series Forecasting; Lasten Casting; Ladda Klassificering; Tillfälliga Ström Installationer; Maskininlärning; klustring; Time Series prognoser; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Kotriwala, A. M. (2017). Load Forecasting for Temporary Power Installations : A Machine Learning Approach. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211554

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kotriwala, Arzam Muzaffar. “Load Forecasting for Temporary Power Installations : A Machine Learning Approach.” 2017. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211554.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kotriwala, Arzam Muzaffar. “Load Forecasting for Temporary Power Installations : A Machine Learning Approach.” 2017. Web. 14 Nov 2019.

Vancouver:

Kotriwala AM. Load Forecasting for Temporary Power Installations : A Machine Learning Approach. [Internet] [Thesis]. KTH; 2017. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211554.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kotriwala AM. Load Forecasting for Temporary Power Installations : A Machine Learning Approach. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211554

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

23. Wang, Lizhong. PDF document search within a very large database.

Degree: Information and Communication Technology (ICT), 2017, KTH

Digital search engine, taking a search request from user and then returning a result responded to the request to the user, is indispensable for… (more)

Subjects/Keywords: Portable Document Format; Search; Document Identification; Cosine Similarity; Document Preprocessing; Document Search; Optimization Method; Performance Analysis; Classification; Regression; Loredge.; Portable Document Format; Sökning; Dokument Identifiering; Cosine Similarity; Dokument Förhandling; Dokument Sökning; Optimering metod; Prestandaanalys; Klassificering; Regression; Loredge; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Wang, L. (2017). PDF document search within a very large database. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Lizhong. “PDF document search within a very large database.” 2017. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Lizhong. “PDF document search within a very large database.” 2017. Web. 14 Nov 2019.

Vancouver:

Wang L. PDF document search within a very large database. [Internet] [Thesis]. KTH; 2017. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang L. PDF document search within a very large database. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

24. Fürderer, Niklas. A Study of an Iterative User-Specific Human Activity Classification Approach.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Applications for sensor-based human activity recognition use the latest algorithms for the detection and classification of human everyday activities, both for online and offline… (more)

Subjects/Keywords: human activity recognition; classification; random forest; xgboost; decision tree; iterative learning approach; user-specific; aktivitetsigenkänning; övervakade klassificerares; random forest; xgboost; beslutsträd; iterativt lärometod; användarspecifik; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Fürderer, N. (2019). A Study of an Iterative User-Specific Human Activity Classification Approach. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253802

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fürderer, Niklas. “A Study of an Iterative User-Specific Human Activity Classification Approach.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253802.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fürderer, Niklas. “A Study of an Iterative User-Specific Human Activity Classification Approach.” 2019. Web. 14 Nov 2019.

Vancouver:

Fürderer N. A Study of an Iterative User-Specific Human Activity Classification Approach. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253802.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fürderer N. A Study of an Iterative User-Specific Human Activity Classification Approach. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253802

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

25. Chen, Beichen. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

This study aims to investigate how dimensionality reduction of neuroimaging data prior to training support vector machines (SVMs) affects the classification accuracy of bipolar… (more)

Subjects/Keywords: Bipolar disorder; diagnosis; computer-aided medical diagnosis; SVM; Support vector machine; PCA; Principal component analysis; dimensionality reduction; feature reduction; neuroimaging; MRI; sMRI; machine learning; classification; psychiatric disorders; mental illness; Bipolär sjukdom; diagnotisering; datorstödd medicinsk diagnotisering; SVM; stödvektormaskin; PCA; principalkomponentanalys; MRI; magnetisk resonanstomografi; MRT; dimensionalitetsreduktion; maskininlärning; dimensionsreduktion; klassificering; psykiska sjukdomar; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Chen, B. (2019). PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259621

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Beichen. “PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder.” 2019. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259621.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Beichen. “PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder.” 2019. Web. 14 Nov 2019.

Vancouver:

Chen B. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder. [Internet] [Thesis]. KTH; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259621.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen B. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259621

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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