Bruno Cabral

According to our database, Bruno Cabral authored at least 57 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ER+: A Conceptual Model for Distributed Multilayer Systems.

Gonçalo Carvalho, Jorge Bernardino, Vasco Pereira, Bruno Cabral

IEEE Access, 2023

On Security and Energy Efficiency in Android Smartphones.

João Ferreira, Bernardo Santos, Wellington Oliveira, Nuno Antunes, Bruno Cabral, João Paulo Fernandes

Proceedings of the 10th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2023

On Computation Offloading and Energy Efficiency on Android Devices.

Gonçalo Carvalho, Karima Velasquez, João Paulo Fernandes, Bruno Cabral

Proceedings of the IEEE International Conference on Communications, 2023

2022

Can We Trust Edge Computing Simulations? An Experimental Assessment.

Gonçalo Carvalho, Filipe Magalhães, Bruno Cabral, Vasco Pereira, Jorge Bernardino

Comput., 2022

Comparative Analysis of Data Modeling Design Tools.

Gonçalo Carvalho, Sergii Mykolyshyn, Bruno Cabral, Jorge Bernardino, Vasco Pereira

IEEE Access, 2022

On the Democratization of Machine Learning Pipelines.

Alexandre Carqueja, Bruno Cabral, João Paulo Fernandes, Nuno Lourenço

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Functional FMECA Approach for the Assessment of Critical Infrastructure Resilience.

Gonçalo Carvalho, Nádia Medeiros, Henrique Madeira, Bruno Cabral

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

HERB+: Evolving an Industrial-Strength Privacy-Preserving Machine Learning Framework.

Qianying Liao, Alexandre Cortez Santos, Bruno Cabral, João Paulo Fernandes, Nuno Lourenço

Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

Herb: Privacy-preserving Random Forest with Partially Homomorphic Encryption.

Qianying Liao, Bruno Cabral, João Paulo Fernandes, Nuno Lourenço

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

GreenHub: a large-scale collaborative dataset to battery consumption analysis of android devices.

Rui Pereira, Hugo Matalonga, Marco Couto, Fernando Castor, Bruno Cabral, Pedro Carvalho, Simão Melo de Sousa, João Paulo Fernandes

Empir. Softw. Eng., 2021

Edge computing: current trends, research challenges and future directions.

Gonçalo Carvalho, Bruno Cabral, Vasco Pereira, Jorge Bernardino

Computing, 2021

When Two are Better Than One: Synthesizing Heavily Unbalanced Data.

Francisco Ferreira, Nuno Lourenço, Bruno Cabral, João Paulo Fernandes

IEEE Access, 2021

A holistic data modeling approach for multi-database systems.

Gonçalo Carvalho, Jorge Bernardino, Vasco Pereira, Bruno Cabral

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Failure Mode and Effect Analysis for Cyber-Physical Systems.

João Oliveira, Gonçalo Carvalho, Bruno Cabral, Jorge Bernardino

Future Internet, 2020

Computation offloading in Edge Computing environments using Artificial Intelligence techniques.

Gonçalo Carvalho, Bruno Cabral, Vasco Pereira, Jorge Bernardino

Eng. Appl. Artif. Intell., 2020

2019

Consistency Models of NoSQL Databases.

Miguel Diogo, Bruno Cabral, Jorge Bernardino

Future Internet, 2019

CBench-Dynamo: A Consistency Benchmark for NoSQL Database Systems.

Miguel Diogo, Bruno Cabral, Jorge Bernardino

Proceedings of the Performance Evaluation and Benchmarking for the Era of Cloud(s), 2019

GreenHub farmer: real-world data for Android energy mining.

Hugo Matalonga, Bruno Cabral, Fernando Castor, Marco Couto, Rui Pereira, Simão Melo de Sousa, João Paulo Fernandes

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

On the Development of a Model to Prevent Failures, Built from Interactions with Moodle.

Bruno Cabral, Álvaro Figueira

Proceedings of the Advances in Web-Based Learning - ICWL 2019, 2019

Preventing Failures by Predicting Students' Grades through an Analysis of Logged Data of Online Interactions.

Bruno Cabral, Álvaro Figueira

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

A Case for Machine Learning in Edge-Oriented Computing to Enhance Mobility as a Service.

Gonçalo Carvalho, Bruno Cabral, Vasco Pereira, Jorge Bernardino

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

Driving Profile using Evolutionary Computation.

Nuno Lourenço, Bruno Cabral, Jorge Granjal

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Designing a Neural Network from Scratch for Big Data Powered by Multi-node GPUs.

Alcides Fonseca, Bruno Cabral

Proceedings of the Handbook of Deep Learning Applications., 2019

2018

Language-Based Expression of Reliability and Parallelism for Low-Power Computing.

Alcides Fonseca, Frederico Cerveira, Bruno Cabral, Raul Barbosa

IEEE Trans. Sustain. Comput., 2018

Understanding the impact of task granularity in the energy consumption of parallel programs.

Alcides Fonseca, Bruno Cabral

Sustain. Comput. Informatics Syst., 2018

Overcoming the No Free Lunch Theorem in Cut-off Algorithms for Fork-Join programs.

Alcides Fonseca, Bruno Cabral

Parallel Comput., 2018

PreX: A predictive model to prevent exceptions.

João Ricardo Lourenço, Bruno Cabral, Jorge Bernardino

J. Syst. Softw., 2018

2017

Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis.

Alcides Fonseca, Bruno Cabral

Big Data Res., 2017

Insider Attacks in a Non-secure Hadoop Environment.

Pedro Camacho, Bruno Cabral, Jorge Bernardino

Proceedings of the Recent Advances in Information Systems and Technologies, 2017

Evolving Cut-Off Mechanisms and Other Work-Stealing Parameters for Parallel Programs.

Alcides Fonseca, Nuno Lourenço, Bruno Cabral

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

On the Use of CEP in Safety-critical Systems.

Veronika Abramova, Jorge Bernardino, Bruno Cabral

Proceedings of the COMPLEXIS 2016, 2017

2016

Controlling the granularity of automatic parallel programs.

Alcides Fonseca, Bruno Cabral

J. Comput. Sci., 2016

Automatic Parallelization: Executing Sequential Programs on a Task-Based Parallel Runtime.

Alcides Fonseca, Bruno Cabral, João Rafael, Ivo Correia

Int. J. Parallel Program., 2016

A Predictive Model for Exception Handling.

João Ricardo Lourenço, Bruno Cabral, Jorge Bernardino

Proceedings of the New Advances in Information Systems and Technologies, 2016

Evaluation of Runtime Cut-off Approaches for Parallel Programs.

Alcides Fonseca, Bruno Cabral

Proceedings of the High Performance Computing for Computational Science - VECPAR 2016, 2016

Scaling a Real-Time Driving Behaviour Analysis System.

Bruno Cabral

Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

DNA Analysis: Principles and Sequencing Algorithms.

Veronika Abramova, Bruno Cabral, Jorge Bernardino

Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Integrating automatic backward error recovery in asynchronous rich clients.

Manuel Quintela-Pumares, Bruno Cabral, Daniel Fernández Lanvin, Alberto Manuel Fernández Álvarez

Proceedings of the 38th International Conference on Software Engineering, 2016

Personalization using Big Data Analytics Platforms.

Cláudio Lopes, Bruno Cabral, Jorge Bernardino

Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

2015

Choosing the right NoSQL database for the job: a quality attribute evaluation.

João Ricardo Lourenço, Bruno Cabral, Paulo Carreiro, Marco Vieira, Jorge Bernardino

J. Big Data, 2015

NoSQL Databases: A Software Engineering Perspective.

João Ricardo Lourenço, Veronika Abramova, Marco Vieira, Bruno Cabral, Jorge Bernardino

Proceedings of the New Contributions in Information Systems and Technologies, 2015

Cooperative Exceptions for Concurrent Objects.

Bruno Cabral, Alcides Fonseca, Paulo Marques, Jonathan Aldrich

Proceedings of the 21st IEEE Pacific Rim International Symposium on Dependable Computing, 2015

A proficient high level programming program as a way to overcome unemployment among graduates.

Maria José Marcelino, Bruno Cabral, Luís Paquete, António José Mendes

Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

No SQL in Practice: A Write-Heavy Enterprise Application.

João Ricardo Lourenço, Veronika Abramova, Bruno Cabral, Jorge Bernardino, Paulo Carreiro, Marco Vieira

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014

The social web of things: enabling the interaction of people and things on social networks.

Bruno Cabral, Cibele Vasconcelos, Cássio V. S. Prazeres

Int. J. Web Based Communities, 2014

SPLICE: A Lightweight Software Product Line Development Process for Small and Medium Size Projects.

Tassio Vale, Bruno Cabral, Loreno Freitas Matos Alvim, Larissa Rocha Soares, Alcemir Rodrigues Santos, Ivan do Carmo Machado, Iuri Santos Souza, Ivonei Freitas da Silva, Eduardo Santana de Almeida

Proceedings of the Eighth Brazilian Symposium on Software Components, 2014

Dependency-Based Automatic Parallelization of Java Applications.

João Rafael, Ivo Correia, Alcides Fonseca, Bruno Cabral

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

Eve: A Parallel Event-Driven Programming Language.

Alcides Fonseca, João Rafael, Bruno Cabral

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2012

Handling exceptions in programs with hidden concurrency: new challenges for old solutions.

Alcides Fonseca, Bruno Cabral

Proceedings of the 5th International Workshop on Exception Handling, 2012

ÆminiumGPU: An Intelligent Framework for GPU Programming.

Alcides Fonseca, Bruno Cabral

Proceedings of the Facing the Multicore-Challenge, 2012

2011

A transactional model for automatic exception handling.

Bruno Cabral, Paulo Marques

Comput. Lang. Syst. Struct., 2011

2009

Implementing Retry - Featuring AOP.

Bruno Cabral, Paulo Marques

Proceedings of the Fourth Latin-American Symposium on Dependable Computing, 2009

2008

A Case for Automatic Exception Handling.

Bruno Cabral, Paulo Marques

Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering (ASE 2008), 2008

2007

Hidden truth behind .NETs exception handling today.

Bruno Cabral, P. Sacramento, Paulo Marques

IET Softw., 2007

Exception Handling: A Field Study in Java and .NET.

Bruno Cabral, Paulo Marques

Proceedings of the ECOOP 2007 - Object-Oriented Programming, 21st European Conference, Berlin, Germany, July 30, 2007

2006

Making Exception Handling Work.

Bruno Cabral, Paulo Marques

Proceedings of the Second Workshop on Hot Topics in System Dependability, 2006

2005

RAIL: code instrumentation for .NET.

Bruno Cabral, Paulo Marques, Luís Moura Silva

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005