Pedro M. Ferreira
Associate Professor
Dept. of Informatics, Faculty of Sciences of the University of Lisbon
LASIGE research unit
Associate Professor
Dept. of Informatics, Faculty of Sciences of the University of Lisbon
LASIGE research unit
I am an Associate Professor at the Department of Informatics of the Faculty of Sciences of the University of Lisbon where I am an integrated researcher of the LASIGE research unit. Currently I lead the research line on Cyberphysical Systems.
My main research interests include machine learning, neural networks, cyberphysical systems, buildings energy management, and data-driven cyber-security. I am an experienced machine learning researcher and practitioner (in different application fields) with more than 70 peer-reviewed papers. In the buildings energy field I was the coordinator of the EU H2020 SATO project (EU official webpage here) and the PI of the EU SMART2B project (EU official webpage here) in LASIGE. I supervise several PhD and MSc students and participated in various other national and international research projects, including with industry (Unilever UK, EDP PT, REN PT, Autogrow NZ), and has been a member of organizing and programme committees in international conferences (e.g., PPSN, ECMLPKDD).
Recent news or announcements
May, 2026
Samaneh Shafee, a PhD student supervised by me and Faculty colleague Alysson Bessani, published the paper entitled False alarms, real damage: Adversarial attacks using LLM-based models on text-based Cyber Threat Intelligence systems in the journal Future Generation Computer Systems.
May, 2026
Within the scope of the SATO project in the Energy application area, Zygimantas Jasiunas, a PhD student supervised by me and Faculty colleagues, published the paper entitled Household Laundry Appliance Resource Consumption and Operation Dataset in the Scientific Data journal.
May, 2026
Allan Espindola, a PhD student supervised by me and Faculty colleague Antonio Casimiro, published the paper entitled Understanding the adversary: A survey of adversarial machine learning in network intrusion detection in the journal Computer Science Review.
March, 2026
Allan Espindola, a PhD student supervised by me and Faculty colleague Antonio Casimiro, published the paper entitled Enhancing Intrusion Detection Generalization via Diversity-Driven Multi-View Ensemble Learning in Industrial Systems in the journal Future Generation Computer Systems.
September 15, 2025
I was one of the co-organizers of the Machine Learning for CyberSecurity Workshop, colocated with ECMLPKDD 2025.
September 9, 2025
Me and PhD students Nuno Dionísio, Alan Espindola, and Catarina Canastra, and MSc student Nuno Costa, participated in the ROAR-NET Problem Modelling Code Fest as a team and hub organizers.
January, 2025
Within the scope of the SATO project in the Energy application area, Zygimantas Jasiunas, a PhD student supervised by me and Faculty colleagues, published the paper entitled A soft sensor to assess the energy performance of laundry washing machines in the journal Applied Energy.
November, 2024
I was featured in the Antena 1 national radio channel, provideing an overview about the SATO European project, of which I am the coordinator, with the aim of developing a platform to support the assessment of the energy performance of buildings.
November, 2024
The Seixal Municipality Building Pilot of the SATO project provided unique opportunities to display the capabilities of its control services for natural ventilation and mechanical cooling.
SATO had an impact in terms of energy savings and changes in the upcoming capabilities for the future of the building.
October, 2024
Samaneh Shafee, a PhD student supervised by me and Faculty colleague Alysson Bessani, published the paper entitled Evaluation of LLM-based chatbots for OSINT-based Cyber Threat Awareness in the journal Expert Systems with Applications.
October, 2024
The Worten retail pilots of the SATO project explored natural ventilation and solar heat gain control to reduce thermal demands on the HVAC system.
Window shades and sensors were installed, and all systems are monitored and controlled through the SATO platform.
October, 2024
SATO project latest video, where LASIGE researchers break down the role of the Data Acquisition Kit in the Seixal Residential Pilot.
Zygimantas Jasiunas (PhD student) and João Ferreira (MSc student) describe how this innovative tool was utilized in the pilot and explain its main contributions.
October, 2024
The Smart2B Project held its Final Conference at EDP Headquarters in Lisbon, Portugal.
Myself and Manuel Fonseca, Cristiana Rosa, Miracle Aniakor, Nuno Dionísio, and Zygimantas Jasiuanas participated in the event.
October, 2024
Nuno Dionísio, PhD student, gives an overview about the work executed in the Library Pilot at the Faculty of Sciences of the University of Lisbon.
October, 2024
Me and my colleague Guilherme Carrilho da Graça offer an in-depth look into the SATO project.
September, 2024
SATO project final face-to-face General Assembly in Luxembourg, alongside the project’s Final Conference.
September, 2024
The SATO project was in the spotlight at this year’s Sustainable Places event, where it organised its final conference.
Three tematic workshops were organised. More details here.
September, 2024
Myself and my colleague José Cecílio along with a team of PhD students from LASIGE participated in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2024).
More details here.
May, 2024
A new video about the SATO project has been released, focusing on the different user interfaces of the SATO platform developed.
A Survey on Semantic Modeling for Building Energy Management
Miracle Aniakor, Vinicius V Cogo, Pedro M Ferreira
arXiv preprint arXiv:2404.11716, (2024)
Cybersecurity Simulation Environment for Drones in Naval Applications
[Preprint pdf]
HMS Catarino, L Pinto, L Sousa, J Cecílio, PM Ferreira, AO Sá
NATO Science for Peace and Security Series - D: Information and Communication Security, (2026), to appear.
Enhancing intrusion detection generalization via diversity-driven multi-view ensemble learning in industrial systems
Allan da S. Espindola, António Casimiro, Altair O. Santin, Pedro M. Ferreira, Eduardo K. Viegas
Future Generation Computer Systems, 182, (2026): 108458, Elsevier
Understanding the adversary: A survey of adversarial machine learning in network intrusion detection
Allan da S. Espindola, Altair O. Santin, António Casimiro, Pedro M. Ferreira, Eduardo K. Viegas
Computer Science Review, 62, (2026): 100995, Elsevier
Household Laundry Appliance Resource Consumption and Operation Dataset
Žygimantas Jasiūnas, João Braz Ferreira, Tiago Julião, José Cecílio, Guilherme Carrilho da Graça, Pedro M Ferreira
Scientific Data, (2026), Nature Publishing Group UK London
False alarms, real damage: Adversarial attacks using LLM-based models on text-based Cyber Threat Intelligence systems
Samaneh Shafee, Alysson Bessani, Pedro M. Ferreira
Future Generation Computer Systems, (2026): 108603, Elsevier
Poster: Quality Threat Intelligence to Enhance Cyber Security in the Public Administration
Diogo Agostinho, Nikhil Tulcidas, Miracle Aniakor, Hugo Miranda, Pedro M. Ferreira, Ana Respicio
2025 23rd International Symposium on Network Computing and Applications (NCA), (2025): 326-327
Evaluation of LLM-based chatbots for OSINT-based Cyber Threat Awareness
Samaneh Shafee, Alysson Bessani, Pedro M Ferreira
Expert Systems with Applications, 261, (2025): 125509, Pergamon
A soft sensor to assess the energy performance of laundry washing machines
Žygimantas Jasiūnas, Tiago Julião, José Cecílio, Guilherme Carrilho da Gra\cca, Pedro M Ferreira
Applied Energy, 383, (2025): 125349, Elsevier
Fault detection in AHU: A walkthrough for implementation in a Danish educational building
Simon Pommerencke Melgaard, Rasmus Lund Jensen, Pedro Miguel Ferreira, Kamilla Heimar Andersen, Nuno Dionisio, Vinicius Vielmo Cogo, Per Kvols Heiselberg
Energy and Buildings, (2025): 115844, Elsevier
A Comparative Study of Reliable Predictive Models for Energy-Efficient MPC in Buildings
Alexandre Geraldo, António Casimiro, Alan Oliveira de Sá, José Cecílio, Pedro M Ferreira
ACM SIGAda Ada Letters, 45(1), (2025): 84--88, ACM New York, NY, USA
Comparative Analysis of Cybersecurity Datasets in Industrial Control Systems
Inês Martins, José Cecílio, Pedro M Ferreira, Alan Oliveira
2024 IEEE International Workshop on Metrology for Industry 4.0 \& IoT (MetroInd4. 0 \& IoT), (2024): 440--445
Reconfigurable and Scalable Honeynet forCyber-physical Systems
Luís Sousa, José Cecílio, Pedro M Ferreira, Alan Oliveira de Sá
ACM SIGAda Ada Letters, 44(1), (2024): 90--94, ACM New York, NY, USA
Processing tweets for cybersecurity threat awareness
Fernando Alves, Aurélien Bettini, Pedro M Ferreira, Alysson Bessani
Information Systems, 95, (2021): 101586, Elsevier
Optimized Design of Neural Networks for a River Water Level Prediction System
Miriam López Lineros, Antonio Madueño Luna, Pedro M Ferreira, Antonio E Ruano
Sensors, 21(19), (2021): 6504, Multidisciplinary Digital Publishing Institute
Buildings Occupancy Estimation: Preliminary Results Using Bluetooth Signals and Artificial Neural Networks
Frederico Apolónia, Pedro M Ferreira, José Cecílio
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, (2021): 567--579
Building appliances energy performance assessment
Zygimantas Jasiunas, Pedro M Ferreira, José Cecílio
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, (2021): 511--524
Towards end-to-end Cyberthreat Detection from Twitter using Multi-Task Learning
Nuno Dionísio, Fernando Alves, Pedro M Ferreira, Alysson Bessani
IJCNN'2020, (2020)
Follow the blue bird: A study on threat data published on Twitter
F Alves, A Andongabo, I Gashi, PM Ferreira, A Bessani
25th European Symposium on Research in Computer Security (ESORICS), (2020)
Evaluation of LoRa Technology in Flooding Prevention Scenarios
José Cecílio, Pedro M Ferreira, António Casimiro
Sensors, 20(14), (2020): 4034, Multidisciplinary Digital Publishing Institute
Design of a Classification Model for a Twitter-Based Streaming Threat Monitor
Fernando Alves, Pedro Miguel Ferreira, Alysson Bessani
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), (2019): 9--14
A Methodology to Automate the Selection of LPWA Technologies in WSN Applications
Carlos Nascimento, António Casimiro, Pedro Ferreira
INForum 2019 - 11th National Informatics Symposium, (2019)
Cyberthreat Detection from Twitter using Deep Neural Networks
Nuno Dionísio, Fernando Alves, Pedro M. Ferreira, Alysson Bessani
2019 International Joint Conference on Neural Networks (IJCNN), (2019): 1--8
AQUAMON--a dependable monitoring platform based on wireless sensor networks for water environments
António Casimiro, J Cecílio, Pedro Ferreira, Anabela Oliveira, Paula Freire, Marta Rodrigues, Luís Almeida
Proceedings of the 38th International Conference on Computer Safety, Reliability and Security, (2019)
Wireless Sensors and IoT Platform for Intelligent HVAC Control
António Ruano, Sérgio Silva, Helder Duarte, Pedro M Ferreira
Applied Sciences, 8(3), (2018): 370, Multidisciplinary Digital Publishing Institute
A New Convex Hull, Sliding Window Based Online Adaptation Method
H Khosravani, A Ruano, PM Ferreira
IFAC-PapersOnLine, 51(10), (2018): 211--216, Elsevier
A New Convex Hull, Sliding Window Based Online Adaptation Method for Fixed-Structure Radial Basis Function Neural Networks
H Khosravani, A Ruano, PM Ferreira
Trends in Mathematics and Computational Intelligence, (2018): 103--112, Springer International Publishing Cham
OSINT-based Data-driven Cybersecurity Discovery
Fernando Alves, Pedro M Ferreira, Alysson Bessani
12th EuroSys Doctoral Workshop, (2018)
A Comparison of Four Data Selection Methods for Artificial Neural Networks and Support Vector Machines
H Khosravani, A Ruano, PM Ferreira
IFAC-PapersOnLine, 50(1), (2017): 11227--11232, Elsevier
A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building
Hamid R Khosravani, María Del Mar Castilla, Manuel Berenguel, Antonio E Ruano, Pedro M Ferreira
Energies, 9(1), (2016): 57, Multidisciplinary Digital Publishing Institute
The IMBPC HVAC system: A complete MBPC solution for existing HVAC systems
Antonio E Ruano, Shabnam Pesteh, Sergio Silva, Helder Duarte, Gon\ccalo Mestre, Pedro M Ferreira, Hamid R Khosravani, Ricardo Horta
Energy and Buildings, 120, (2016): 145--158, Elsevier
Unsupervised Entropy-Based Selection of Data Sets for Improved Model Fitting
Pedro M Ferreira
International Joint Conference on Neural Networks (IJCNN 2016), (2016)
A convex hull-based data selection method for data driven models
[Preprint pdf]
HR Khosravani, AE Ruano, PM Ferreira
Applied Soft Computing, 47, (2016): 515--533, Elsevier
PVM-based intelligent predictive control of HVAC systems
A Ruano, S Pesteh, S Silva, H Duarte, G Mestre, PM Ferreira, H Khosravani, R Horta
IFAC-PapersOnLine, 49(5), (2016): 371--376, Elsevier
Self-Powered Wireless Sensor Network Designed for Energy Saving in HVAC Systems
AE Ruano, PM Ferreira, H Duarte, S Silva, MG Ruano
Proceedings of the International Conference on Wireless Networks (ICWN), (2016): 36
Improving a neural networks based HVAC predictive control approach
AE Ruano, S Silva, S Pesteh, PM Ferreira, H Duarte, G Mestre, H Khosravani, R Horta
2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings, (2015): 1--6
A neural-network based intelligent weather station
AE Ruano, G Mestre, H Duarte, S Silva, S Pesteh, H Khosravani, PM Ferreira, R Horta
2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings, (2015): 1--6
A Randomized Approximation Convex Hull Algorithm for High Dimensions
Antonio Ruano, Hamid Reza Khosravani, Pedro M Ferreira
IFAC-PapersOnLine, 48(10), (2015): 123--128, Elsevier
An Intelligent Weather Station
Gon\ccalo Mestre, Antonio Ruano, Helder Duarte, Sergio Silva, Hamid Khosravani, Shabnam Pesteh, Pedro M Ferreira, Ricardo Horta
Sensors, 15(12), (2015): 31005--31022, Multidisciplinary Digital Publishing Institute
Seismic detection using support vector machines
António E Ruano, Guilherme Madureira, O Barros, HR Khosravani, M Gra\cca Ruano, Pedro M Ferreira
Neurocomputing, 135, (2014): 273--283, Elsevier
Neural Network based HVAC Predictive Control
António E Ruano, Pedro M Ferreira
IFAC World Congress, 19(1), (2014): 3617--3622
Exploiting the Functional Training Approach in Takagi-Sugeno Neuro-fuzzy Systems
Cristiano L Cabrita, António E Ruano, Pedro M Ferreira, László T Kóczy
Soft Computing Applications - Advances in Intelligent Systems and Computing, 195, (2013): 543--559, Springer Berlin Heidelberg
A simple algorithm for convex hull determination in high dimensions
Hamid R Khosravani, António E Ruano, Pedro M Ferreira
2013 IEEE 8th International Symposium on Intelligent Signal Processing, (2013): 109--114
Forecasting the Portuguese Electricity Consumption using Least-Squares Support Vector Machines
Pedro M Ferreira, Isaura D Cuambe, António E Ruano, Rui Pestana
ICONS’2013, 3rd IFAC Int. Conference on Intelligent Control and Automation Science, (2013): 406--411
A Support Vector Machine Seismic Detector for Early-Warning Applications
António E. Ruano, G. Madureira, Ozias Barros, Hamid R. Khosravani, Maria G. Ruano, Pedro M. Ferreira
ICONS'2013 - 3rd IFAC International Conference on Intelligent Control, (2013): 400--405
Model based predictive control of HVAC systems for human thermal comfort and energy consumption minimisation
Pedro M. Ferreira, Sergio Silva, António E. Ruano
CESCIT'12 - 1st IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, (2012): 236--241
Energy Savings in HVAC Systems Using Discrete Model-Based Predictive Control
Pedro M Ferreira, Sérgio M Silva, António E Ruano
The 2012 International Joint Conference on Neural Networks (IJCNN); WCCI 2012 - World Conference on Computational Intelligence, (2012): 1--8
Neural Network PMV Estimation for Model-Based Predictive Control of HVAC Systems
Pedro M Ferreira, Sérgio M Silva, António E Ruano, Aldric T Négrier, Eusébio ZE Concei\ccao
The 2012 International Joint Conference on Neural Networks (IJCNN); WCCI 2012 - World Conference on Computational Intelligence, (2012): 1--8
Extending the functional training approach for B-Splines
Cristiano L Cabrita, António E Ruano, Pedro M Ferreira, László T Kóczy
The 2012 International Joint Conference on Neural Networks (IJCNN); WCCI 2012 - World Conference on Computational Intelligence, (2012): 1--8
Exploiting the Functional Training Approach in B-Splines
Antonio Ruano, Cristiano Cabrita, Pedro M Ferreira, Laszlo T Koczy
CESCIT'12 - 1st IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, (1), (2012): 127--132
Neural networks based predictive control for thermal comfort and energy savings in public buildings
PM Ferreira, AE Ruano, S Silva, EZE Concei\cc\~ao
Energy and buildings, 55, (2012): 238--251, Elsevier
A Neural Network Based Intelligent Predictive Sensor for Cloudiness, Solar Radiation and Air Temperature
Pedro M Ferreira, Jo\~ao M Gomes, Igor AC Martins, António E Ruano
Sensors, 12(11), (2012): 15750--15777
Exploiting the functional training approach in B-Splines
Pedro M Ferreira, László T Kóczy
IFAC Proceedings Volumes, 45(4), (2012): 127--132
Performance of intertidal topography video monitoring of a meso-tidal reflective beach in South Portugal
Michalis Ioannis Vousdoukas, Pedro Manuel Ferreira, Luis Pedro Almeida, Guillaume Dodet, Fotis Psaros, Umberto Andriolo, Rui Taborda, Ana Nobre Silva, Antonio Ruano, Óscar Manuel Ferreira
Ocean Dynamics, 61(10), (2011): 1521--1540, Springer-Verlag Berlin/Heidelberg
Exploiting the functional training approach in Radial Basis Function networks
Cristiano L Cabrita, Antonio E Ruano, Pedro M Ferreira
Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on, (2011): 1--6
Towards a more analytical training of neural networks and neuro-fuzzy systems
Antonio E Ruano, Cristiano L Cabrita, Pedro M Ferreira
Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on, (2011): 1--6
Implementation of an intelligent sensor for measurement and prediction of solar radiation and atmospheric temperature
Joao M Gomes, Pedro M Ferreira, Antonio E Ruano
Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on, (2011): 1--6
Towards online operation of a RBF neural network model to forecast the Portuguese electricity consumption
Pedro M Ferreira, Antonio E Ruano, Rui Pestana
Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on, (2011): 1--7
Evolutionary Multiobjective Neural Network Models Identification: Evolving Task-Optimised Models
Pedro M. Ferreira, António Ruano
New Advances in Intelligent Signal Processing, (2011): 21--53, Springer Berlin/Heidelberg
Cloud and clear sky pixel classification in ground-based all-sky hemispherical digital images
Pedro M Ferreira, Igor AC Martins, António E Ruano
CMTEE'2010 - IFAC Conference onControl Methodologies and Technology for Energy Efficiency, 1(1), (2010): 273--278
Improving the identification of rbf predictive models to forecast the portuguese electricity consumption
Pedro M Ferreira, António E Ruano, Rui Pestana
CMTEE'2010 - IFAC Conference onControl Methodologies and Technology for Energy Efficiency, 1(1), (2010): 208--213
Moga design of temperature and relative humidity models for predictive thermal comfort
António E Ruano, Pedro M Ferreira, Hugo Mendes
CMTEE'2010 - IFAC Conference onControl Methodologies and Technology for Energy Efficiency, 1(1), (2010): 116--121
Estimation and Prediction of Cloudiness from Ground-Based All-Sky Hemispherical Digital Images
Igor AC Martins, Pedro M Ferreira, António E Ruano
CONTROLO'2010 - The 9th Portuguese Conference on Automatic Control, (2010)
Correlating Wave Hindcast and Buoy data with Artificial Neural Networks
L.P. Almeida, M.V. Vousdoukas, Pedro M. Ferreira, António E. Ruano, G. Dodet, C. Loureiro, Ó Ferreira, R. Taborda
1as Jornadas de Engenharia Hidrográfica, (2010)
Online Sliding-Window Methods for Process Model Adaptation
Pedro M Ferreira, António E Ruano
Instrumentation and Measurement, IEEE Transactions on, 58(9), (2009): 3012--3020, IEEE
Evolving rbf predictive models to forecast the portuguese electricity consumption
Pedro M Ferreira, António E Ruano, Rui Pestana, László T Kóczy
IFAC Proceedings Volumes - 2nd IFAC Conference on Intelligent Control Systems and Signal Processing, 42(19), (2009): 414--419
Moga design of neural network predictors of inside temperature in public buildings
A Ruano, E Crispim, Pedro M. Ferreira
Soft Computing Based Modeling in Intelligent Systems. SCI, 196, (2009): 35--61
Prediction of the solar radiation evolution using computational intelligence techniques and cloudiness indices
Eduardo M Crispim, Pedro M Ferreira, Antonio E Ruano
International Journal of Innovative Computing, Information and Control, 4(5), (2008): 1121--1133, ICIC International
Application of computational intelligence methods to greenhouse environmental modelling
PM Ferreira, AE Ruano
Neural Networks, 2008. IJCNN 2008.(IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, (2008): 3582--3589
Discrete Model Based Greenhouse Environmental Control Using the Branch \& Bound Algorithm
Pedro Ferreira, Antonio Ruano
17th IFAC World Congress, 17(1), (2008): 2937--2943
MODEL BASED PREDICTIVE CONTROL OF GREENHOUSE AIR TEMPERATURE AND RELATIVE HUMIDITY
PM Ferreira, AE Ruano
CONTROLO'2008 - The 8th Portuguese Conference on Automatic Control, (2008)
On-line sliding-window Levenberg-Marquardt methods for neural network models
PM Ferreira, AE Ruano
Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on, (2007): 1--6
Improving the diagnosis of ischemic CVA's through CT scan with neural networks
Luís Ribeiro, Antonio EB Ruano, M Gra\cca Ruano, Pedro Ferreira, Annamaria R Varkonyi-Koczy
2007 2nd International Workshop on Soft Computing Applications, (2007): 39--43
Neural networks assisted diagnosis of ischemic CVA's through CT scan
Luis Ribeiro, Antonio E Ruano, M Graca Ruano, Pedro M Ferreira
2007 IEEE International Symposium on Intelligent Signal Processing, (2007): 1--5
Solar radiation prediction using RBF Neural Networks and cloudiness indices
EM Crispim, Pedro M Ferreira, AE Ruano
Neural Networks, 2006. IJCNN 2006.(IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, (2006): 2611--2618
Model Predictive Control of Greenhouse Climate using RBF models
PM Ferreira, AE Ruano
GETS'2006, The Global Educational Technology Symposium, (2006): 63--64
Prediction of the solar radiation using RBF Neural Networks and ground-to-sky images
Eduardo M Crispim, Pedro M Ferreira, António E Ruano
GETS'2006, The Global Educational Technology Symposium, (2006): 65--66
An overview of nonlinear identification and control with neural networks
AE Ruano, PM Ferreira, CM Fonseca
IEE CONTROL ENGINEERING SERIES, 70, (2005): 37--87, PETER PEREGRINUS LTD
Evolutionary multiobjective design of radial basis function networks for greenhouse environmental control
PM Ferreira, AE Ruano, CM Fonseca
16th IFAC World Congress, 16(1), (2005): 870--870
Soft-computing methods in greenhouse environmental and crop modelling
PM Ferreira, AE Ruano
EFITA/WCCA'2005 Joint World Congress on Computers in Agriculture and Natural Resources, (2005): 280--287
Neuro-Fuzzy Modeling of Plant Growth in a Hydroponic Greenhouse
M Kazheunikau, PM Ferreira, AE Ruano
CONTROLO'2004 - The 6th Portuguese Conference on Automatic Control, (2004)
Predicting solar radiation with RBF neural networks
PM Ferreira, AE Ruano
CONTROLO'2004 - The 6th Portuguese Conference on Automatic Control, (2004): 31--36
Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction
PM Ferreira, AE Ruano, CM Fonseca
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on, 1, (2003): 576--581
Neural network models in greenhouse air temperature prediction
PM Ferreira, EA Faria, AE Ruano
Neurocomputing, 43(1), (2002): 51--75, Elsevier
Choice of RBF model structure for predicting greenhouse inside air temperature
PM Ferreira, AE Ruano
15th IFAC World Congress, Spain, 15(1), (2002)
Training neural networks and neuro-fuzzy systems: A unified view
António E Ruano, Pedro M Ferreira, C Cabrita, S Matos
15th IFAC World Congress, Spain, 15(1), (2002)
Predicting the greenhouse inside air temperature with rbf neural networks
PM Ferreira, AE Ruano
2nd IFAC-CIGR Workshop on Intelligent Control for Agricultural Applications, (2001): 67--72
GREENHOUSE AIR TEMPERATURE MODELLING WITH RADIAL BASIS FUNCTION NEURAL NETWORKS
PM Ferreira, AE Ruano
Workshop on Management, Identification and Control of Agriculture Buildings, (2001)
Exploiting the separability of linear and nonlinear parameters in radial basis function networks
PM Ferreira, AE Ruano
Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000, (2000): 321--326
Neural network models in greenhouse environmental control
PM Ferreira, EA Faria, AE Ruano
Proceedings of the 6th International Conference on Engineering Applications of Neural Networks (EANN’2000), (2000): 100--107
Application of radial basis function neural networks to a greenhouse inside air temperature model
PM Ferreira, EA Faria, AE Ruano
IFAC Agricontrol 2000, International Conference on Modelling and Control in Agriculture, Horticulture and Post-harvested Processing, 2, (2000): 172--177
COMPARISON OF ON-LINE LEARNING ALGORITHMS FOR RBF MODELS IN GREENHOUSE ENVIRONMENTAL CONTROL PROBLEMS
PM Ferreira, EA Faria, AEB Ruano
CONTROLO'2000 - The 4th Portuguese Conference on Automatic Control, (2000): 342--347
Design and implementation of a real-time data acquisition system for the identification of dynamic temperature models in a hydroponic greenhouse
PM Ferreira, AEB Ruano, EA Faria
Acta Horticulturae, 519, (1998): 191--198, ISHS
Real-Time Data Acquisition System for the Identification of Dynamic Temperature Models in a Hydroponic Greenhouse
Pedro M. Ferreira, E.A. Faria, António E. Ruano
CONTROLO'98 - The 3rd Portuguese Conference on Automatic Control, (1998): 555--558
Design and implementation of a real-time data acquisition system for the identification of dynamic temperature models in a hydroponic greenhouse
PM Ferreira, AEB Ruano, EA Faria
XXV International Horticultural Congress, Part 9: Computers and Automation, Electronic Information in Horticulture 519, (1998)
Design and implementation of a real-time data acquisition system for the identification of dynamic temperatures in a hydroponic greenhouse
PM Ferreira, EA Faria, AE Ruano
In II Congresso Ibero-Americano \& III Congresso Ibérico em Ciências Hortículas, (1997)
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19--23, 2022, Proceedings, Part II
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Froning, Francesco Gullo, Pedro M Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, others
(2023), Springer Nature
Message from the DCDS 2023 Organizers
Antonio Pecchia, Ibéria Medeiros, Pedro Ferreira, Nuno Dionísio, Miracle Aniakor
Proceedings-53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops Volume, DSN-W 2023, (2023): XIX--XX
DCDS 2023 Committee
Ibéria Medeiros, Ilir Gashi, Michael Kamp, Pedro Ferreira, Antonio Pecchia, Miracle Aniakor, Nuno Dionísio, Annalisa Appice, Carsten Rudolph, Guanpeng Li, others
Fourth International Workshop on Data-Centric Dependability and Security (DCDS)
Pedro Ferreira, Michael Kamp, Nuno Dionísio, Samaneh Shafee, Ibéria Medeiros, Ilir Gashi
Proceedings-52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop Volume, DSN-W 2022, (2022): XVI
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoit Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, others
(2022), Springer Nature
ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14--18, 2020, Proceedings
Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Ozlem Ozgobek, Rita P Ribeiro, Ricard Gavaldà, others
(2021), Springer Nature
Third International Workshop on Data-Centric Dependability and Security (DCDS)
Ibéria Medeiros, Ilir Gashi, Michael Kamp, Pedro Ferreira
2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), (2021): xii--xii
Second International Workshop on Data-Centric Dependability and Security (DCDS)
Ibéria Medeiros, Ilir Gashi, Michael Kamp, Pedro Ferreira
2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), (2020): xi--xi
Computer Safety, Reliability, and Security: 39th International Conference, SAFECOMP 2020, Lisbon, Portugal, September 16-18, 2020, Proceedings
António Casimiro, Frank Ortmeier, Friedemann Bitsch, Pedro Ferreira
12234, (2020), Springer Nature
Computer Safety, Reliability, and Security: SAFECOMP 2020 Workshops: DECSoS 2020, DepDevOps 2020, USDAI 2020, and WAISE 2020, Lisbon, Portugal, September 15, 2020, Proceedings
Frank Ortmeier, Erwin Schoitsch, Friedemann Bitsch, Pedro Ferreira
(2020), Springer Nature
Lecture Notes in Computer Science-SAFECOMP 2020 Workshop Proceedings
Erwin Schoitsch, Antonio Casimiro, Pedro Ferreira, Frank Ortmeier, Friedemann Bitsch
(2020), Springer Nature
First international workshop on data-centric dependability and security (DCDS)
Ibéria Medeiros, Ilir Gashi, Michael Kamp, Pedro Ferreira
49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop, DSN-W 2019, (2019): IX
Reliable Software Technologies--Ada-Europe 2018
António Casimiro, Pedro M Ferreira
(2018)
Reliable Software Technologies--Ada-Europe 2018: 23rd Ada-Europe International Conference on Reliable Software Technologies, Lisbon, Portugal, June 18-22, 2018, Proceedings
António Casimiro, Pedro M Ferreira
10873, (2018), Springer
Message from the Workshop Chairs DSN 2021
Guanpeng Justin Li, Hui Xu, Ibéria Medeiros, Michael Kamp, Pedro Ferreira
Message from the Workshop Chairs DSN 2022
Saurabh Jha, Varun Chandrasekaran, Pedro Ferreira, Michael Kamp, Nuno Dionísio, Samaneh Shafee
Computer Safety, Reliability, and Security
António Casimiro, Frank Ortmeier, Friedemann Bitsch, Pedro Ferreira
Springer
Pedro M. Ferreira
Campo Grande, Edifício C6
1749-016 Lisboa
Portugal
pmf @
ciencias.
ulisboa.
pt
+351 217500645