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    • ST1 - Ambient Assisted Living based on IoT Technologies
    • ST2 - Social data and medical data analytics
    • ST3 - Immersive Personalized Patient Engagement; Computer Based Medical Intervention Systems
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Giovana Jaskulski Gelatti
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Giovana Jaskulski Gelatti

University of Sao Paulo (BR)
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She is Phd Student at Universidade de São Paulo, São Carlos - SP in the course Ciências de Computação e Matemática Computacional. She is graduate in Computer Engineering from Universidade Federal do Rio Grande (Rio Grande - RS). Has experience in development of mobile application and in computer science area with enphasis in machine learning and data mining. The main subjects are anomaly detection, unsupervised learning and clustering. Actually, she is trainee at NanoStima Project at University of Porto (Portugal). It is where she is developing a part of her thesis "Anomaly detection through clustering data". She belongs to the group of Massive Data Analysis Laboratory (ANALYTICS) at USP.

Presentations

Session Title Presentation
Posters II

Anomaly detection through temporal abstractions on intensive care data: position paper

Saturday, June 24, 2017 - 09:00 to 15:45
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© 30th International Symposium on Computer-Based Medical Systems - CBMS 2017
AUTH Research Dissemination Center
June 22-24, 2017 Thessaloniki - Greece
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