Paulo Novais at Universidade do Minho Escola de Engenharia - Research Interests, Publications & Academic Profile

Paulo Novais

Full Professor

Universidade do Porto Faculdade de Engenharia

Portugal

Has grant

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do Nigerian students reach out?

Meet Kite AI

Contact this professor

Send an email

ORCID

Google Scholar

Academic Page

Research Interests

Computational Linguistics

40%

Hotel Management

20%

Predictive Modeling

40%

Anomaly Detection

30%

Tourism

20%

Machine Learning

20%

Recommender System

20%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Recent Grants

Grant: Close

Hybrid models implementation to reduce the impact of wastewaters treatment in receiving waters

Open Date: 2023-01-01

Close Date: 2026-01-01

Grant: Close

CIVIC: Intelligent characterisation of the veracity of the information related to COVID-19

Open Date: 2020-10-01

Close Date:

Grant: Close

Predictive and Analytic Models for the Optimization of Multi-municipal Water Systems

Open Date: 2020-01-01

Close Date: 2022-12-31

Grant: Close

Predictive and Analytic Models for the Optimization of Multi-municipal Water Systems

Open Date: 2020-01-01

Close Date: 2023-04-30

Grant: Close

AI in Clinical Decision Support: a Computational Argumentation Framework for Multimorbidity

Open Date: 2018-04-01

Close Date: 2020-01-01

Articles16

Emotional and Mental Nuances and Technological Approaches: Optimising Fact-Check Dissemination through Cognitive Reinforcement Technique

Article Link

Year:

2024

Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities

Article Link

Year:

2024

Enhancing quality 4.0 and reducing costs in lot-release process with machine learning-based complaint prediction

Article Link

Year:

2024

A novel intelligent approach for man‐in‐the‐middle attacks detection over internet of things environments based on message queuing telemetry transport

Article Link

Year:

2023

Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?

Article Link

Year:

2023

Predicting Model Training Time to Optimize Distributed Machine Learning Applications

Article Link

Year:

2023

Using meta‐learning to predict performance metrics in machine learning problems

Article Link

Year:

2023

A Review of Computational Modeling in Wastewater Treatment Processes

Article Link

Year:

2023

A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications

Article Link

Year:

2023

Validation of a development methodology and tool for IoT-based systems through a case study for visually impaired people

Article Link

Year:

2023

Algorithm Recommendation and Performance Prediction Using Meta-Learning

Article Link

Year:

2023

A systematic review on recommendation systems applied to chronic diseases

Article Link

Year:

2023

Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences

Article Link

Year:

2022

A distributed topology for identifying anomalies in an industrial environment

Article Link

Year:

2022

A Cluster-Based Approach Using Smartphone Data for Bike-Sharing Docking Stations Identification: Lisbon Case Study<sup>†</sup>

Article Link

Year:

2022

A predictive and user-centric approach to Machine Learning in data streaming scenarios

Article Link

Year:

2021

Collaborators25

José João Dias de Almeida

University of Minho

PORTUGAL

Davide Carneiro

Invited Adjuntc Professor

Escola Superior de Tecnologia e Gestão

PORTUGAL

Victor Alves

University of Minho

PORTUGAL

José-Luis Casteleiro-Roca

Profesor Titular de Universidad

Universidade da Coruña

SPAIN

Miguel Guimarães

Invited Assistant Professor

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

Jose Luis Calvo-Rolle

Universidade da Coruña

SPAIN

Pedro Saraiva

Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvol

PORTUGAL

Pedro Melo-Pinto

Universidade de Trás-os-Montes e Alto Douro

PORTUGAL

Óscar Oliveira

Invited Adjunct Professor

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

Pedro Oliveira

Professor

University of Minho

PORTUGAL

Hector Alaiz Moreton

PROFESOR CONTRATADO DOCTOR

Universidad de Valladolid Escuela de Ingenierías Industriales

SPAIN

Dalila Duraes

Assistant Professor

University of Minho

PORTUGAL

José Manuel Ferreira Machado

Associate professor with Habilitation

University of Minho

PORTUGAL

Goreti Marreiros

Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto

PORTUGAL

Francisco Zayas-Gato

Professor

Universidade da Coruña

SPAIN

Paulo Sampaio

Associate Professor

University of Minho

PORTUGAL

Miguel J. Hornos

Universidad de Granada

SPAIN

João Carneiro

Professor Adjunto Convidado

Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto

PORTUGAL

Antonio Abelha

Professor Auxiliar

University of Minho

PORTUGAL

Helena Martins

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

Verónica Bolón-Canedo

SPAIN

Eugénio C. Ferreira

Professor

University of Minho

PORTUGAL

Amparo Alonso-Betanzos

Professor

Universidade da Coruña

SPAIN

Mariana Carvalho

Instituto Politécnico de Leiria

PORTUGAL

Fábio Silva

Adjunct Professor

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

How do Nigerian students reach out?

Meet Kite AI