Pedro M. Ferreira

发表

A Support Vector Machine Seismic Detector for Early-Warning Applications

António E. Ruano, Guilherme Madureira, Ozias Barros, 2013, ICONS.

Seismic detection using support vector machines

António E. Ruano, Guilherme Madureira, Ozias Barros, 2014, Neurocomputing.

An overview of nonlinear identification and control with neural networks.

Carlos M. Fonseca, António E. Ruano, Pedro M. Ferreira, 2005 .

Neural network models in greenhouse environmental control

António E. Ruano, Pedro M. Ferreira, Eugénio Araújo Faria, 2000 .

Discrete Model-Based Greenhouse Environmental Control using the Branch & Bound Algorithm

António E. Ruano, Pedro M. Ferreira, A. Ruano, 2008 .

Prediction of the solar radiation using RBF neural networks and ground-to-sky images

António E. Ruano, Pedro M. Ferreira, E. M. Crispim, 2006 .

PH2 - A dermoscopic image database for research and benchmarking

Pedro M. Ferreira, Jorge S. Marques, Jorge Rozeira, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Robust Clustering-based Segmentation Methods for Fingerprint Recognition

Jaime S. Cardoso, Pedro M. Ferreira, Ana F. Sequeira, 2018, 2018 International Conference of the Biometrics Special Interest Group (BIOSIG).

An Intelligent Weather Station

António E. Ruano, Hamid Reza Khosravani, Pedro M. Ferreira, 2015, Sensors.

Application of radial basis function neural networks to a greenhouse inside air temperature model

António E. Ruano, Pedro M. Ferreira, Eugénio Araújo Faria, 2000 .

Wireless Sensors and IoT Platform for Intelligent HVAC Control

António E. Ruano, Pedro M. Ferreira, Helder Duarte, 2018 .

Online Sliding-Window Methods for Process Model Adaptation

António E. Ruano, Pedro M. Ferreira, 2009, IEEE Transactions on Instrumentation and Measurement.

Dimensional emotion recognition using visual and textual cues pdf

Jaime S. Cardoso, Pedro M. Ferreira, Kelwin Fernandes, 2018, ArXiv.

EVOLUTIONARY MULTIOBJECTIVE DESIGN OF RADIAL BASIS FUNCTION NETWORKS FOR GREENHOUSE ENVIRONMENTAL CONTROL

Carlos M. Fonseca, António E. Ruano, Pedro M. Ferreira, 2005 .

A New Convex Hull, Sliding Window Based Online Adaptation Method for Fixed-Structure Radial Basis Function Neural Networks

Pedro M. Ferreira, António E. Ruano, H. Khosravani, 2019 .

Forecasting the Portuguese Electricity Consumption Using Least-Squares Support Vector Machines

António E. Ruano, Pedro M. Ferreira, Rui Pestana, 2013, ICONS.

A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building

Manuel Berenguel, António E. Ruano, Pedro M. Ferreira, 2016 .

Exploiting the Functional Training Approach in Takagi-Sugeno Neuro-fuzzy Systems

László T. Kóczy, António E. Ruano, Pedro M. Ferreira, 2012, SOFA.

Unsupervised entropy-based selection of data sets for improved model fitting

Pedro M. Ferreira, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Predicting the Greenhouse Inside Air Temperature with RBF Neural Networks

António E. Ruano, Pedro M. Ferreira, A. Ruano, 2001 .

PVM-based intelligent predictive control of HVAC systems

António E. Ruano, Pedro M. Ferreira, Helder Duarte, 2016 .

3rd IFAC International Conference on Intelligent Control and Automation Science 2013 : Chengdu, China 2-4 September 2013

Pedro M. Ferreira, 2013 .

Neural networks based predictive control for thermal comfort and energy savings in public buildings

António E. Ruano, Pedro M. Ferreira, Eusébio Z. E. Conceição, 2012 .

A Fuzzy C-Means Algorithm for Fingerprint Segmentation

Pedro M. Ferreira, Ana F. Sequeira, Ana Rebelo, 2015, IbPRIA.

The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012

Aranildo R. Lima, Wei Wang, Brendan McCane, 2012, IJCNN.

On the role of multimodal learning in the recognition of sign language

Jaime S. Cardoso, Pedro M. Ferreira, Ana Rebelo, 2018, Multimedia Tools and Applications.

A Wide Spread of Algorithms for Automatic Segmentation of Dermoscopic Images

Pedro M. Ferreira, Teresa Mendonça, Paula Rocha, 2013, IbPRIA.

CHOICE OF RBF MODEL STRUCTURE FOR PREDICTING GREENHOUSE INSIDE AIR TEMPERATURE

António E. Ruano, Pedro M. Ferreira, A. Ruano, 2002 .

Exploiting the separability of linear and nonlinear parameters in radial basis function networks

António E. Ruano, Pedro M. Ferreira, 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

Towards end-to-end Cyberthreat Detection from Twitter using Multi-Task Learning

Alysson Bessani, Pedro M. Ferreira, Fernando Alves, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Morphometric analysis of sciatic nerve images: A directional gradient approach

Pedro M. Ferreira, Hélder P. Oliveira, Eduardo Marques Pereira, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Extending the functional training approach for B-splines

László T. Kóczy, António E. Ruano, Pedro M. Ferreira, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Model Based Predictive Control of HVAC Systems for Human Thermal Comfort and Energy Consumption Minimisation

António E. Ruano, Pedro M. Ferreira, Sérgio Manuel Ferreira da Silva, 2012, CESCIT.

Multimodal Learning for Sign Language Recognition

Jaime S. Cardoso, Pedro M. Ferreira, Ana Rebelo, 2017, IbPRIA.

Exploiting the Functional Training Approach in B-Splines

László T. Kóczy, António E. Ruano, Pedro M. Ferreira, 2012, CESCIT.

A convex hull-based data selection method for data driven models

António E. Ruano, Hamid Reza Khosravani, Pedro M. Ferreira, 2016, Appl. Soft Comput..

An annotation tool for dermoscopic image segmentation

Pedro M. Ferreira, Jorge Rozeira, Teresa Mendonça, 2012, VIGTA '12.

Neural Network Based HVAC Predictive Control

António E. Ruano, Pedro M. Ferreira, A. Ruano, 2014 .

Energy savings in HVAC systems using discrete model-based predictive control

António E. Ruano, Pedro M. Ferreira, Sérgio Manuel Ferreira da Silva, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Correction: Ferreira, P.M., et al. A Neural Network Based Intelligent Predictive Sensor for Cloudiness, Solar Radiation and Air Temperature.

António E. Ruano, Pedro M. Ferreira, Igor A. C. Martins, 2013, Sensors.

Evolving RBF predictive models to forecast the Portuguese electricity consumption

László T. Kóczy, António E. Ruano, Pedro M. Ferreira, 2009, ICONS.

A New Convex Hull, Sliding Window Based Online Adaptation Method

António E. Ruano, Pedro M. Ferreira, H. Khosravani, 2018 .

Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction

Carlos M. Fonseca, António E. Ruano, Pedro M. Ferreira, 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..

A Comparison of Four Data Selection Methods for Artificial Neural Networks and Support Vector Machines

António E. Ruano, Pedro M. Ferreira, H. Khosravani, 2017 .

Application of computational intelligence methods to greenhouse environmental modelling

António E. Ruano, Pedro M. Ferreira, A. Ruano, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Improving the Identification of RBF Predictive Models to Forecast the Portuguese Electricity Consumption

António E. Ruano, Pedro M. Ferreira, Rui Pestana, 2010 .

SECOND CALL FOR PAPERS

Horst F. Wedde, Klaus Schilling, Pedro M. Ferreira, 2015 .

Neural network models in greenhouse air temperature prediction

António E. Ruano, Pedro M. Ferreira, Eugénio de Araújo Faria, 2002, Neurocomputing.

The IMBPC HVAC system: A complete MBPC solution for existing HVAC systems

António E. Ruano, Pedro M. Ferreira, Helder Duarte, 2016 .

Solar radiation prediction using RBF Neural Networks and cloudiness indices

António E. Ruano, Pedro M. Ferreira, Eduardo M. Crispim, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Neural network PMV estimation for model-based predictive control of HVAC systems

António E. Ruano, Pedro M. Ferreira, Aldric T. Negrier, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Evolutionary Multiobjective Neural Network Models Identification: Evolving Task-Optimised Models

António E. Ruano, Pedro M. Ferreira, A. Ruano, 2011 .

MOGA Design of Temperature and Relative Humidity Models for Predictive Thermal Comfort.1

António E. Ruano, Pedro M. Ferreira, Hugo Mendes, 2010 .

Optimized Design of Neural Networks for a River Water Level Prediction System

António E. Ruano, Pedro M. Ferreira, Antonio Madueño Luna, 2021, Sensors.

Cloud and Clear Sky Pixel Classification in Ground-Based All-Sky Hemispherical Digital Images*

António E. Ruano, Pedro M. Ferreira, Igor A. C. Martins, 2010 .

Towards a more analytical training of neural networks and neuro-fuzzy systems

Pedro M. Ferreira, Cristiano L. Cabrita, A. Ruano, 2011, 2011 IEEE 7th International Symposium on Intelligent Signal Processing.

A Randomized Approximation Convex Hull Algorithm for High Dimensions

António E. Ruano, Pedro M. Ferreira, H. Khosravani, 2015 .

A simple algorithm for convex hull determination in high dimensions

Pedro M. Ferreira, Antonio E. Ruano, Hamid R. Khosravani, 2013, 2013 IEEE 8th International Symposium on Intelligent Signal Processing.

Estimation and prediction of cloudiness from ground-based all-sky hemispherical digital images

António E. Ruano, Pedro M. Ferreira, Igor A. C. Martins, 2011 .

Neuro-fuzzy modelling of a plant growth in a hydroponic greenhouse

António E. Ruano, Pedro M. Ferreira, M. Kazheunikau, 2004 .

Design and implementation of a Real-Time data acquisition system for the identification of dynamic temperature models in a hydroponic greenhouse.

António E. Ruano, Pedro M. Ferreira, Eugénio Araújo Faria, 1998 .