Carlos Abreu Ferreira

According to our database, Carlos Abreu Ferreira authored at least 34 papers between 2008 and 2024.

Collaborative distances:

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

2024

More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation.

Matías Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, João Gama

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Modeling the Ink Tuning Process Using Machine Learning.

Catarina Costa, Carlos Abreu Ferreira

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.

Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Diogo Marcelo Nogueira, Cristina Oliveira, Carlos Abreu Ferreira, Alípio Mário Jorge, Sandra da Silva Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra

IEEE J. Biomed. Health Informatics, 2022

Semi-causal decision trees.

Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama

Prog. Artif. Intell., 2022

Temporal Nodes Causal Discovery for in Intensive Care Unit Survival Analysis.

Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama

Proceedings of the Progress in Artificial Intelligence, 2022

The robustness of Random Forest and Support Vector Machine Algorithms to a Faulty Heart Sound Segmentation.

Jorge Oliveira, Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel T. Coimbra

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Decision Support System for Facility Location Problems in Fleet Management.

João Martins, Goreti Marreiros, Carlos Abreu Ferreira

Proceedings of the Ambient Intelligence - Software and Applications, 2021

Generalised Partial Association in Causal Rules Discovery.

Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama, Alberto A. Pinto

Proceedings of the Progress in Artificial Intelligence, 2021

Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning.

Ahmed Fares, Fábio Vasconcelos, João Mendes-Moreira, Carlos Abreu Ferreira

Proceedings of the Progress in Artificial Intelligence, 2021

Do we really need a segmentation step in heart sound classification algorithms?

Jorge Oliveira, Diogo Marcelo Nogueira, Francesco Renna, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel Tavares Coimbra

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Multi-spot Murmur Sound Detection Algorithm and Its Application to a Pediatric and Neonate Population.

Marisa Oliveira, Jorge Oliveira, Rui Camacho, Carlos Abreu Ferreira

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Improving Prediction with Causal Probabilistic Variables.

Ana Rita Nogueira, João Gama, Carlos Abreu Ferreira

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Contrasting logical sequences in multi-relational learning.

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa

Prog. Artif. Intell., 2019

Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features.

Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Elsa Ferreira Gomes, Alípio M. Jorge

J. Medical Syst., 2019

Sequence and Network Mining of Touristic Routes Based on Flickr Geotagged Photos.

Ana Silva, Pedro Campos, Carlos Abreu Ferreira

Proceedings of the Progress in Artificial Intelligence, 2019

Heart Sounds Classification Using Images from Wavelet Transformation.

Diogo Marcelo Nogueira, Mohammad Nozari Zarmehri, Carlos Abreu Ferreira, Alípio M. Jorge, Luis Antunes

Proceedings of the Progress in Artificial Intelligence, 2019

Using Soft Attention Mechanisms to Classify Heart Sounds.

Jorge Oliveira, Diogo Marcelo Nogueira, Cléber Ramos, Francesco Renna, Carlos Abreu Ferreira, Miguel T. Coimbra

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Improving acute kidney injury detection with conditional probabilities.

Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama

Intell. Data Anal., 2018

Agribusiness Intelligence: Grape Production Forecast Using Data Mining Techniques.

Rosana Cavalcante de Oliveira, João Mendes-Moreira, Carlos Abreu Ferreira

Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait.

Carlos Fernandes, Luis Fonseca, Flora J. Ferreira, Miguel F. Gago, Luís Costa, Nuno J. Sousa, Carlos Abreu Ferreira, João Gama, Wolfram Erlhagen, Estela Bicho

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment.

Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Classifying Heart Sounds Using Images of MFCC and Temporal Features.

Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Alípio M. Jorge

Proceedings of the Progress in Artificial Intelligence, 2017

2016

Automatic Classification of Anuran Sounds Using Convolutional Neural Networks.

Juan Gabriel Colonna, Tanel Peet, Carlos Abreu Ferreira, Alípio Mário Jorge, Elsa Ferreira Gomes, João Gama

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

2015

Exploring multi-relational temporal databases with a propositional sequence miner.

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa

Prog. Artif. Intell., 2015

2013

Adaptive Model Rules from Data Streams.

Ezilda Almeida, Carlos Abreu Ferreira, João Gama

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning Model Rules From High-Speed Data Streams.

Ezilda Almeida, Carlos Abreu Ferreira, João Gama

Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013

2012

Bus Bunching Detection by Mining Sequences of Headway Deviations.

Luís Moreira-Matias, Carlos Abreu Ferreira, João Gama, João Mendes-Moreira, Jorge Freire de Sousa

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

Identifying Relationships in Transactional Data.

Melissa Rodrigues, João Gama, Carlos Abreu Ferreira

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Predicting Ramp Events with a Stream-Based HMM Framework.

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud

Proceedings of the Discovery Science - 15th International Conference, 2012

2011

Sequential Pattern Knowledge in Multi-Relational Learning.

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa

Proceedings of the Computer and Information Sciences II, 2011

Predictive Sequence Miner in ILP Learning.

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Constrained Sequential Pattern Knowledge in Multi-relational Learning.

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa

Proceedings of the Progress in Artificial Intelligence, 2011

2009

Sequential Pattern Mining in Multi-relational Datasets.

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa

Proceedings of the Current Topics in Artificial Intelligence, 2009

2008

RUSE-WARMR: Rule Selection for Classifier Induction in Multi-relational Data-Sets.

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008