José Sales Dias

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Associate Professor with Habilitation

ISCTE-Instituto Universitário de Lisboa

Portugal

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About

José Sales Dias is an Associate Professor with Habilitation at ISCTE-Instituto Universitário de Lisboa, Portugal. His research focuses on housing customization, health data sharing, and the application of machine learning techniques in energy performance and consumption. Additionally, he has contributed to studies on environmental sustainability public policies and the use of AI in healthcare, particularly in cardiac event detection and MRI analysis.

Recent Grants

Grant: Close

Envelhecimento vocal: estudo das alterações segmentais e variações de ritmo em Português Europeu

Open Date: 2018-07-01

Close Date: 2022-04-30

Grant: Close

IRIS - Towards Natural Interaction and Communication

Open Date: 2016-07-01

Close Date: 2017-12-31

Grant: Close

Estrutura de Apoio Sem Visão

Open Date: 2016-03-01

Close Date: 2019-02-28

Grant: Close

Assistente Organizacional de Vida para envelhecimento ativo futuro

Open Date: 2015-03-01

Close Date: 2018-04-30

Grant: Close

Suporte cognitivo para seniores em contexto laboral

Open Date: 2014-05-01

Close Date: 2016-10-31

Articles (14)

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2024

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2021

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2021

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2021

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2021

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2021

Collaborators (5)

Vitor Santos

Universidade de Aveiro

PORTUGAL

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Ana Lucia Martins

Associate Professor

ISCTE-Instituto Universitário de Lisboa

PORTUGAL

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Sara Eloy

Assistant Professor

ISCTE-Instituto Universitário de Lisboa

PORTUGAL

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Joao Carlos Amaro Ferreira

PORTUGAL

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Eduardo Medeiros

Integrated Researcher / Professor

ISCTE-Instituto Universitário de Lisboa

PORTUGAL

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José Sales Dias

Research Interests

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About

Recent Grants

Articles (14)

Housing customization: envisioning an interface to support co-design processes

Validation of an mHealth System for Monitoring Fundamental Physiological Parameters in the Clinical Setting

Health Data Sharing towards Knowledge Creation

The impact of sound in people's behaviour in outdoor settings: A study using virtual reality and eye-tracking

Using the Impact-WEB_GIS Platform to Assess the Impacts of Environmental Sustainability Public Policies in the Lisbon Metropolitan Area

AI-Based Aortic Stenosis Classification in MRI Scans

AI-Driven Decision Support for Early Detection of Cardiac Events: Unveiling Patterns and Predicting Myocardial Ischemia

Mining Electric Vehicle Adoption of Users

Machine Learning Techniques Focusing on the Energy Performance of Buildings: A Dimensions and Methods Analysis

Machine Learning Techniques in the Energy Consumption of Buildings: A Systematic Literature Review Using Text Mining and Bibliometric Analysis

Calcium Identification and Scoring Based on Echocardiography. An Exploratory Study on Aortic Valve Stenosis

Smart Cities: Data-Driven Solutions to Understand Disruptive Problems in Transportation—The Lisbon Case Study

Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review

Bike-sharing mobility patterns: a data-driven analysis for the city of Lisbon

Collaborators (5)

Vitor Santos

Ana Lucia Martins

Sara Eloy

Joao Carlos Amaro Ferreira

Eduardo Medeiros

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