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Damova, Mariana
Mozaika
Sofia, Bulgaria
 
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Mariana Damova is the CEO of Mozaika, a company providing research and solutions for data science, natural interfaces, and human insight. Mozaika specializes in building semantic information infrastructures in different verticals, such as business information delivery, human resources management, cultural heritage, earth observation, and water management.

Her background is in natural language processing, semantic web technologies, and artificial intelligence (AI), with significant academic and industry experience in Europe and North America.

She has taught graduate courses, conducted research, and led international interdisciplinary projects and teams on virtual customer service, speech-to-speech machine translation, search based on linguistic principles, voice-enabled emotion recognition, an expert system supporting child protective services, water resources management, content mapping, and historical archives.

She has collaborated with many different universities and organizations, including The National Archives of the UK, the British Museum, the Historical Archives of the European Commission, the European Space Agency, Europeana, and the Bulgarian Academy of Sciences.

Mariana holds a PhD from the University of Stuttgart and a mini-MBA from McGill University, and currently teaches a graduate course at New Bulgarian University.

She has been a reviewer for Computing Reviews since 2008, and has authored more than 50 publications (books and papers) related to linguistics and semantic technologies.

Mariana enjoys museums, theater, and reading.

 
 
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1
- 4 of 4 reviews

   
  Structured pruning of deep convolutional neural networks
Anwar S., Hwang K., Sung W. ACM Journal on Emerging Technologies in Computing Systems 13(3): 1-18, 2017.  Type: Article

A step toward improving the performance of deep learning by adding rules to node propagation, this paper is an interesting contribution to the area of neural networks....

Dec 20 2017  
  Multimedia ontology: representation and applications
Chaudhury S., Mallik A., Ghosh H., Chapman & Hall/CRC, Boca Raton, FL, 2015. 256 pp.  Type: Book (978-1-482236-34-7)

This exquisitely detailed and thorough account offers very interesting and useful insight into the semantics of multimedia and the state of the art of multimedia modeling and semantic-based applications related to multimedia....

May 24 2016  
  A survey and classification of controlled natural languages
Kuhn T. Computational Linguistics 40(1): 121-170, 2014.  Type: Article

An extensive overview, this paper presents a very thorough and fundamental account of controlled natural languages (CNLs)....

Nov 19 2014  
   Idea navigation: structured browsing for unstructured text
Stewart R., Scott G., Zelevinsky V.  Human factors in computing systems (Proceeding of the Twenty-sixth annual SIGCHI Conference on Human Factors in Computing Systems, Florence, Italy, Apr 5-10, 2008) 1789-1792, 2008.  Type: Proceedings, Reviews: (2 of 2)

Idea navigation is a first-of-a-kind approach to textual information access that uses semantic relationships between terms and supports exploratory search by providing a view of the most common ideas in a given result set. This paper s...

Aug 4 2008  
 
 
   
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