Priberam Machine Learning Lunch Seminars (T10) - 6 - "Fraud Prevention with Deep Learning models", Mariana Almeida

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Zita Marinho

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Apr 22, 2019, 10:51:04 AM4/22/19
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Hello all,

Next week Mariana Almeida will present her work on "Fraud Prevention with Deep Learning models"  on Thursday 2nd May at 13:00h (room PA2- Pav. Matemática at IST).


Due to a large number of leftovers, we kindly ask you to please register only if you intend to attend the event, and cancel if you know you will not attend.


Image result for priberam logoPRIBERAM SEMINARS   --  Room PA2
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Priberam Machine Learning Lunch Seminar

Speaker:  Mariana Almeida (Feedzai)
Venue: IST Alameda, Room PA2 (Pavilhão de Matemática)
Date: Thursday, May 2nd, 2019
Time: 13:00

Lunch will be provided

Title:

Fraud Prevention with Deep Learning models


Abstract:

Feedzai is a scale-up company with one mission: making banking and commerce safe. For that purpose, Feedzai develops methods for fraud prevention that should simultaneously be accurate, scalable and work within low latencies. In this talk will cover Feedzai’s research challenges, focusing on the use of neural networks for fraud prevention.

For a long time, the best solutions for fraud detection combined tree-based methods and handmade profile features that represented the user behavior (ex: number of transactions of a user within the previous week). This approach, however, requires handmade engineered features which take time to be computed and which consumes a lot of memory when in production. More recently, with the use of Deep Learning (DL) models with RNNs, we are able to train end-to-end models that encapsulate the feature engineering step in the model itself. These models not only allow for skipping the feature engineering step but also lead to improvements in typical baseline metrics for fraud prevention, such as transaction recall at a 1% false positive rate.


Short Bio:

Mariana Almeida is a Senior Data Scientist at Feedzai Research team, applying and developing machine learning techniques to stop fraud in financial transactions. She obtained a Ph.D. degree in the Electrical Engineering Department of IST, in 2010, for her work on image processing. Before joining Feedzai, Mariana did a Postdoc on image processing and worked for 4 years on natural language processing at Priberam Labs. She received the Vidigal award 2004/2005 and an honorable mention at the 2010 Portuguese IBM Scientific Prize.

More info: http://labs.priberam.com/Academia-Partnerships/Seminars.aspx

Eventbrite:
https://www.eventbrite.pt/e/fraud-prevention-with-deep-learning-models-tickets-60704400496



Best regards,

Zita Marinho
zita.marinho@priberam.pt

Priberam Labs
http://labs.priberam.pt/

Priberam is hiring!
If you are interested in working with us please send your info to labs@priberam.pt
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