Sökning: "synthetic data generation"

Visar resultat 1 - 5 av 34 avhandlingar innehållade orden synthetic data generation.

1. 1. Synthetic data for visual machine learning : A data-centric approach

   Författare :Apostolia Tsirikoglou; Jonas Unger; Gabriel Eilertsen; Anders Ynnerman; Philipp Slusallek; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Training data; Synthetic images; Computer graphics; Generative modeling; Natural images; Histopathology; Digital pathology; Machine learning; Deep learning;

   Sammanfattning : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. LÄS MER

3. 2. Privacy preserving behaviour learning for the IoT ecosystem

   Författare :Sana Imtiaz; Vladimir Vlassov; Ramin Sadre; Sarunas Girdzijauskas; Omer Rana; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of things; big data; privacy; smart health care; machine learning; synthetic data generation; generative adversarial networks; time-series data; distributed machine learning; Informations- och kommunikationsteknik; Information and Communication Technology;

   Sammanfattning : IoT has enabled the creation of a multitude of personal applications and services for a better understanding and improvement of urban environments and our personal lives. These services are driven by the continuous collection and analysis of sensitive and private user data to provide personalised experiences. LÄS MER

4. 3. Agent-based Transport Models as a Tool for Evaluating Mobility

   Författare :Çaglar Tozluoglu; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Daily activity pattern; Activity-based modeling; Agent-based modeling; Activity generation;

   Sammanfattning : The transportation system is undergoing fundamental transformations through emerging technologies. Some of these innovations have the potential to contribute to the sustainable transformation of the transportation system, such as electric vehicles (EVs) and shared autonomous electric vehicles (SEAVs). LÄS MER

5. 4. Towards Privacy Preserving Intelligent Systems

   Författare :Md Sakib Nizam Khan; Sonja Buchegger; Vicenc Torra; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Privacy; Intelligent Systems; Synthetic data; Machine Learning; Datalogi; Computer Science;

   Sammanfattning : Intelligent systems, i.e., digital systems containing smart devices that can gather, analyze, and act in response to the data they collect from their surrounding environment, have progressed from theory to application especially in the last decade, thanks to the recent technological advances in sensors and machine learning. LÄS MER

7. 5. Multilingual Abstractions: Abstract Syntax Trees and Universal Dependencies

   Författare :Kolachina Prasanth; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Grammatical Framework; Universal Dependencies; Natural Language Processing; multilinguality; abstract syntax trees; dependency trees; multilingual generation; multilingual parsers;

   Sammanfattning : This thesis studies the connections between parsing friendly representations and interlingua grammars developed for multilingual language generation. Parsing friendly representations refer to dependency tree representations that can be used for robust, accurate and scalable analysis of natural language text. LÄS MER