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ORCIDPedro Filipe Oliveira
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2020 – today
- 2024
[c20]Pedro Filipe Oliveira, Paulo Matos:
An Intelligent Environment Application Case to Manage Comfort Preferences, at an University Residence. SAI (3) 2024: 36-44- 2023
- [c19]Pedro Filipe Oliveira
, Paulo Novais, Paulo Matos:
Consumption Performance, of a Multi Agent System Used to Achieve Comfort Preferences. ISAmI 2023: 199-208 - 2022
- [c18]Pedro Filipe Oliveira, Paulo Novais, Paulo Matos:
Adaptive System to Manage User Comfort Preferences and Conflicts at Everyday Environments. DCAI (2) 2022: 171-176 - [c17]Armindo Lobo, Pedro Filipe Oliveira, Paulo Sampaio, Paulo Novais:
Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets. DCAI (1) 2022: 280-290 - [c16]Pedro Filipe Oliveira, M. Salomé Duarte, Paulo Novais:
Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent. IBERAMIA 2022: 65-76 - [c15]Pedro Filipe Oliveira, Paulo Novais, Paulo Matos:
Adaptive Environment System to Manage Comfort Preferences and Conflicts. OL2A 2022: 685-700 - 2021
- [c14]Carlos Faria, Pedro Filipe Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Paulo Novais:
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants. DCAI (1) 2021: 137-147 - [c13]Diogo Gigante, Pedro Filipe Oliveira, Bruno Fernandes, Frederico Lopes, Paulo Novais:
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants. HAIS 2021: 588-599 - [c12]Carolina Silva, Bruno Fernandes, Pedro Filipe Oliveira, Paulo Novais:
Using Machine Learning to Forecast Air and Water Quality. ICAART (2) 2021: 1210-1217 - [c11]Pedro Filipe Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Paulo Novais:
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants. IDEAL 2021: 446-457 - [c10]Pedro Filipe Oliveira, Paulo Novais, Paulo Matos:
Security Constraints on an Multi-agent System to Manage Users and Spaces in an Adaptive Environment System. ISAmI 2021: 171-176 - 2020
- [c9]Pedro Filipe Oliveira, Bruno Fernandes, Cesar Analide, Paulo Novais:
Multi-step Ultraviolet Index Forecasting Using Long Short-Term Memory Networks. DCAI 2020: 187-197 - [c8]Pedro Filipe Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Cesar Analide, Paulo Novais:
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants. IDEAL (1) 2020: 362-373 - [c7]Pedro Filipe Oliveira, Paulo Novais, Paulo Matos:
Using Jason Framework to Develop a Multi-agent System to Manage Users and Spaces in an Adaptive Environment System. ISAmI 2020: 137-145 - [c6]Pedro Filipe Oliveira, Paulo Novais, Paulo Matos:
Manage Comfort Preferences Conflicts Using a Multi-agent System in an Adaptive Environment System. ISAmI 2020: 284-288
2010 – 2019
- 2019
- [c5]Pedro Filipe Oliveira, Paulo Novais, Paulo Matos:
Generating Real Context Data to Test User Dependent Systems - Application to Multi-agent Systems. PAAMS 2019: 180-187 - [c4]Pedro Filipe Oliveira, Paulo Novais, Paulo Matos:
A Multi-agent System to Manage Users and Spaces in a Adaptive Environment System. PAAMS (Workshops) 2019: 330-333 - 2018
- [c3]Pedro Filipe Oliveira, Tiago Pedrosa, Paulo Novais, Paulo Matos:
Towards to Secure an IoT Adaptive Environment System. DCAI (Special Sessions) 2018: 349-352 - 2017
- [c2]Pedro Filipe Oliveira, Paulo Novais, Paulo Matos:
Challenges in Smart Spaces: Aware of Users, Preferences, Behaviours and Habits. PAAMS (Special Sessions) 2017: 268-271 - 2016
- [c1]Pedro Filipe Oliveira, Paulo Matos, Paulo Novais:
Behaviour Analysis in Smart Spaces. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 880-887
Coauthor Index
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