Andrea Barraza
I am a PhD Research student in the field of computer science, studying at the National University of Ireland, Galway and working at the Insight Centre for Data Analytics. I work at the Unit for Information Mining and Retrieval (UIMR) under the supervision of Dr. Conor Hayes.
My current research focuses on analyzing the role of exploration and exploitation in the area of Recommendation Systems. Specifically, I will aim to represent the Recommendation Systems as a reinforcement learning agent that is continuously obtaining information to refine its base knowledge.
I hold a Bachelor in Systems Engineering and a Master in Computer Science from the Pontificia Universidad Javeriana, Bogotá, Colombia.
I first came to work at the Insight Centre as a Master Student Intern in order to carry out my master thesis as a collaborative effort between the Pontificia Universidad Javeriana and the Insight Centre. In my master thesis, I worked on the topic of Diversity for Recommender Systems.
My career ambition is to thrive as an Applied Research Scientist working on cutting-edge projects related to the areas I am most passionate about, which include but are not limited to: Recommendation Systems, Artificial Intelligence and Machine Learning.
Publications
- Conference Name: BCS SGAI Workshop on Data Stream Mining Techniques and Applications, AI-2016 Thirty-sixth SGAI International Conference on Artificial Intelligence ,Authors
Hugo Hromic, Andrea Barraza, Conor Hayes, Neal Cantle
Publication DetailsType:Date: 2016Location: United Kingdom (excluding Northern Ireland),Refereed Conf./Meeting Proceeding - Conference Name: 9th Annual International Conference on Computer Games, Multimedia & Allied Technology (CGAT) ,Authors
W. G. Dulakshi Vihanga, K. L. Jayaratne, Andrea Barraza
Publication DetailsType:Date: 2016Location: Singapore,Refereed Conf./Meeting Proceeding - Conference Name: 2nd Workshop on Recommendation Systems for Television and Online Video ,Authors
Andrea Barraza, Hugo Hromic, Ioana Hulpus, Benjamin Heitmann, Conor Hayes, Neal Cantle
Publication DetailsType:Proceedings: ACM Recommendation Systems Conference, Date: 2015Location: Austria,Refereed Conf./Meeting Proceeding - Conference Name: The 28th International FLAIRS Conference 2015 ,Authors
Andrea Barraza, Benjamin Heitmann, Conor Hayes, Angela Carrillo-Ramos
Publication DetailsType:Proceedings: Proceedings of The 28th International FLAIRS Conference 2015, Date: 2015Location: United States of America,Refereed Conf./Meeting Proceeding
Presentations
- Publication DetailsInsight Researchers: Andrea BarrazaEvent: The 28th International FLAIRS Conference 2015, Date: 18/05/2017Event Type: WorkshopPresentation Type: Paper
- Publication DetailsInsight Researchers: Andrea BarrazaEvent: Amazon Graduate Research Symposium 2017, Date: 26/01/2017Event Type: WorkshopPresentation Type: Poster
- Publication DetailsInsight Researchers: Andrea BarrazaEvent: 11th Women in Machine Learning Workshop (WiML 2016), Date: 05/12/2016Event Type: WorkshopPresentation Type: Poster
- Publication DetailsInsight Researchers: Andrea BarrazaNon-Insight Researchers: W. G. Dulakshi Vihanga and and K. L. JayaratneOrganising Body: The 11th International Conference on Information Technology and Applications, Date: 01/07/2016Event Type: ConferencePresentation Type: Paper
- Publication DetailsInsight Researchers: Andrea BarrazaEvent: 2nd Workshop on Recommendation Systems for Television and Online Video, Venue: 9th ACM Conference on Recommender SystemsDate: 19/09/2015Event Type: WorkshopPresentation Type: Paper