Skip to main content
INESC TEC
INESC TEC
INESC TEC
Search results for:
Filter your results

0 Search results

Carlos Baquero

Carlos Baquero

My research interests cover data management in eventual consistent settings, distributed data aggregation and causality tracking. In the last years I have collaborated with my co-authors in the development of data summary mechanisms such as Scalable Bloom Filters, causality tracking for dynamic settings with Interval Tree Clocks and Dotted Version Vectors and in predictable eventual consistency with Conflict-Free Replicated Data Types. My recent work has been applied in the Riak distributed database and in Akka distributed data, and is running in production systems serving millions of users worldwide.

Publications

Pondering the Ugly Underbelly, and Whether Images Are Real

Hill, RK;Baquero, C;

2024

Commun. ACM

Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection

Rufino, J;Ramírez, JM;Aguilar, J;Baquero, C;Champati, J;Frey, D;Lillo, RE;Fernández Anta, A;

2024

HELIYON

A Year Embedded in the Crypto-NFT Space

Baquero, C;

2023

COMMUNICATIONS OF THE ACM

Consistent comparison of symptom-based methods for COVID-19 infection detection

Rufino, J;Ramirez, JM;Aguilar, J;Baquero, C;Champati, J;Frey, D;Lillo, RE;Fernandez Anta, A;

2023

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

View all publications

Supervised Theses

Sistema de perceção visual de baixo custo considerando tecnologia de smartphones

Sara Raquel Monteiro da Silva Pereira

M - 2023

IPP-ISEP

Information and Contacts

Contact Us