Revealing my age, I can say that I bought that CD and attended one of their concerts π
@pedrobizarro
Co-founder & Chief Science Officer @ Feedzai Data Processing, Data Visualization, ML, Responsible AI, Fraud Detection, AML, Science. Ironman, running Research: https://research.feedzai.com/ Youtube: http://bit.ly/3nnnb9T arXiv: http://bit.ly/3tCxDv2
Revealing my age, I can say that I bought that CD and attended one of their concerts π
HΓ‘ uma forma de descobrir... π
This is great! A reading list of science books published in 2024!
A short analysis of what might have contributed to the recent rise of BlueSky. Now, on the Blogs section at Communications of the ACM cacm.acm.org/blogcacm/the...
It also happened to me once, but in that instance UberX had a much shorter waiting time than Uber Business.
Could that explain the price difference in your case as well?
The paper was accepted at VIS'2024. Thank you, Beatriz, and thank also to all other co-authors, Rita Marques Costa, Jean Vieira Alves, Javier LiΓ©bana de la Barrera, and Diogo R Duarte.
In the post Beatriz Feliciano shows how we are combining textual explanations from LLMs with charts to enhance the productivity of our users. This allows fraud analysts to not be overwhelmed with information, and allows them to quickly detect, understand, and explore what is wrong.
π₯³ Yay: new blog post out, a summary of a recent Feedzai Research paper: βShow Me Whatβs Wrong!β: Enhancing Fraud Detection Analysis by Combining Charts and Text.
medium.com/feedzaitech/...
Very insightful indeed! Thanks for sharing
We publish in top conferences, release software in open-source (FairGBM, TimeSHAP, AutoVizuA11y, etc), collaborate with colleagues in other research areas (Systems, and Data Visualization) and in other departments (Product, Customer Success, etc), clients, and even external researchers.
We work in multiple areas such as representation learning, gene AI, algorithmic fairness, explainability, graphs, domain adaptation, adversarial robustness, and more.
Our work is used across the world to prevent variations of financial crime such as scams, transaction fraud, or money laundering.
π If you just finished or are about to finish your MSc and are passionate about AI, we have a position for you at Feedzai Research! Actually, we have *two* positions, bring a friend! π
More of AI work here:
research.feedzai.com/research_are...
Job descriptions:
careers.feedzai.com/job_descript...
Reach me for questions or more info!
The team works on highly available, high performance, distributed systems, using Spark, Kafka, EMR/Dataflow, Airflow, Flyte, Docker, Kubernetes, and more.
For past (public) work of this team, check some papers, videos, and patents: research.feedzai.com/research-blog/
These are great opportunities: we are stopping the bad guys (who are doing money laundering and financial crime) while we develop state-of-the-art ML pipelines that have a global reach. (Did I say that our software is used to protect 900 million people in 192 countries?) π
We are looking for people that combine technical knowledge and research skills, and are passionate about building cloud native applications that scale to process many thousands of events per second while providing low-latency and fault-tolerance guarantees.
Systems Research: The Systems Research group focuses mostly on the performance and reliability of engineering systems. It focuses on projects that enable new software capabilities important for a RiskOps Platform, and improve systems characteristics such as memory, storage, computation, latency, throughput, availability, cloud cost, reliability and stability, etc. Research Focus: Streaming Engines, Graph-based storages, ML infrastructure, Distributed processing
We are hiring 2 people for our Systems Research - ML Infrastructure team. ππ
Software Engineer, Data and ML Infrastructure
careers.feedzai.com/job_descript...
Senior Software Engineer, Data and ML Infrastructure careers.feedzai.com/job_descript...