Carlos Abreu Ferreira

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 23

Top Topics

Machine Learning

Facility Location

Temporal Databases

Top Venues

Prog. Artif. Intell.

Publications

Catarina Costa, Carlos Abreu Ferreira
Modeling the Ink Tuning Process Using Machine Learning. IDEAL (2023)
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
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
Temporal Nodes Causal Discovery for in Intensive Care Unit Survival Analysis. EPIA (2022)
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
Semi-causal decision trees. Prog. Artif. Intell. 11 (1) (2022)
Jorge Oliveira, Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel T. Coimbra
The robustness of Random Forest and Support Vector Machine Algorithms to a Faulty Heart Sound Segmentation. EMBC (2022)
Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Marcelo Nogueira, Cristina Oliveira, Carlos Abreu Ferreira, Alípio M. Jorge, Sandra da Silva Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. CoRR (2021)
João Martins, Goreti Marreiros, Carlos Abreu Ferreira
Decision Support System for Facility Location Problems in Fleet Management. ISAmI (2021)
Ahmed Fares, Fábio Vasconcelos, João Mendes-Moreira, Carlos Abreu Ferreira
Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning. EPIA (2021)
Marisa Oliveira, Jorge Oliveira, Rui Camacho, Carlos Abreu Ferreira
A Multi-spot Murmur Sound Detection Algorithm and Its Application to a Pediatric and Neonate Population. BIOSIGNALS (2021)
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama, Alberto Pinto
Generalised Partial Association in Causal Rules Discovery. EPIA (2021)
Jorge Oliveira, Diogo Marcelo Nogueira, Francesco Renna, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel Tavares Coimbra
Do we really need a segmentation step in heart sound classification algorithms? EMBC (2021)
Ana Rita Nogueira, João Gama, Carlos Abreu Ferreira
Improving Prediction with Causal Probabilistic Variables. IDA (2020)
Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Elsa Ferreira Gomes, Alípio M. Jorge
Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features. J. Medical Syst. 43 (6) (2019)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
Contrasting logical sequences in multi-relational learning. Prog. Artif. Intell. 8 (4) (2019)
Diogo Marcelo Nogueira, Mohammad Nozari Zarmehri, Carlos Abreu Ferreira, Alípio M. Jorge, Luis Antunes
Heart Sounds Classification Using Images from Wavelet Transformation. EPIA (1) (2019)
Jorge Oliveira, Diogo Marcelo Nogueira, Cléber Ramos, Francesco Renna, Carlos Abreu Ferreira, Miguel T. Coimbra
Using Soft Attention Mechanisms to Classify Heart Sounds. EMBC (2019)
Ana Silva, Pedro Campos, Carlos Abreu Ferreira
Sequence and Network Mining of Touristic Routes Based on Flickr Geotagged Photos. EPIA (2) (2019)
Carlos Fernandes, Luis Fonseca, Flora Ferreira, Miguel F. Gago, Luís Costa, Nuno Sousa, Carlos Abreu Ferreira, João Gama, Wolfram Erlhagen, Estela Bicho
Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait. BIBM (2018)
Rosana Cavalcante de Oliveira, João Mendes-Moreira, Carlos Abreu Ferreira
Agribusiness Intelligence: Grape Production Forecast Using Data Mining Techniques. WorldCIST (3) (2018)
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
Improving acute kidney injury detection with conditional probabilities. Intell. Data Anal. 22 (6) (2018)
Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Alípio M. Jorge
Classifying Heart Sounds Using Images of MFCC and Temporal Features. EPIA (2017)
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment. ISMIS (2017)
Juan Gabriel Colonna, Tanel Peet, Carlos Abreu Ferreira, Alípio Mário Jorge, Elsa Ferreira Gomes, João Gama
Automatic Classification of Anuran Sounds Using Convolutional Neural Networks. C3S2E (2016)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
Exploring multi-relational temporal databases with a propositional sequence miner. Prog. Artif. Intell. 4 (1-2) (2015)
Ezilda Almeida, Carlos Abreu Ferreira, João Gama
Adaptive Model Rules from Data Streams. ECML/PKDD (1) (2013)
Ezilda Almeida, Carlos Abreu Ferreira, João Gama
Learning Model Rules From High-Speed Data Streams. UDM@IJCAI (2013)
Melissa Rodrigues, João Gama, Carlos Abreu Ferreira
Identifying Relationships in Transactional Data. IBERAMIA (2012)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud
Predicting Ramp Events with a Stream-Based HMM Framework. Discovery Science (2012)
Luís Moreira-Matias, Carlos Abreu Ferreira, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
Bus Bunching Detection by Mining Sequences of Headway Deviations. ICDM (2012)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
Constrained Sequential Pattern Knowledge in Multi-relational Learning. EPIA (2011)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
Sequential Pattern Knowledge in Multi-Relational Learning. ISCIS (2011)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
Predictive Sequence Miner in ILP Learning. ILP (2011)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
Sequential Pattern Mining in Multi-relational Datasets. CAEPIA (2009)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
RUSE-WARMR: Rule Selection for Classifier Induction in Multi-relational Data-Sets. ICTAI (1) (2008)