Isidora Chara Tourni

Isidora Chara Tourni
Boston University | BU · Department of Computer Science

Computer Science PhD Candidate @ Boston University

About

7
Publications
1,353
Reads
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5
Citations
Citations since 2017
5 Research Items
5 Citations
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Introduction
Additional affiliations
May 2022 - May 2022
Google Inc.
Position
  • Research Intern
May 2021 - July 2021
SRI International
Position
  • Research Intern
May 2019 - August 2019
Electronic Arts
Position
  • Research Intern
Education
September 2017 - December 2022
Boston University
Field of study
  • Computer Science
September 2011 - July 2016
National Technical University of Athens
Field of study
  • Electrical & Computer Engineering
September 2010 - June 2011
National Technical University of Athens
Field of study
  • Chemical Engineering

Publications

Publications (7)
Article
Full-text available
Deep learning models perform remarkably well for the same task under the assumption that data is always coming from the same distribution. However, this is generally violated in practice, mainly due to the differences in data acquisition techniques and the lack of information about the underlying source of new data. Domain generalization targets th...
Conference Paper
Full-text available
News media structure their reporting of events or issues using certain perspectives. When describing an incident involving gun violence, for example, some journalists may focus on mental health or gun regulation, while others may emphasize the discussion of gun rights. Such perspectives are called "frames" in communication research. We study, for t...
Preprint
Deep learning models perform remarkably well for the same task under the assumption that data is always coming from the same distribution. However, this is generally violated in practice, mainly due to the differences in the data acquisition techniques and the lack of information about the underlying source of new data. Domain Generalization target...
Preprint
Full-text available
We conduct an empirical study of unsupervised neural machine translation (NMT) for truly low resource languages, exploring the case when both parallel training data and compute resource are lacking, reflecting the reality of most of the world's languages and the researchers working on these languages. We propose a simple and scalable method to impr...
Thesis
Full-text available
The complexity of modern industrial processes and the constant innovations in production monitoring technologies and data collection, strongly outline the need for advancements in production data analysis. Data Mining is a rapidly growing field, aiming in understanding data and extracting previously unknown information, with the use of Machine Lear...

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