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Artificial Intelligence and Decision Support

At LIAAD, we work on the very strategic area of Data Science, which has an increasing interest worldwide and is critical to all areas of human activity. The huge amounts of collected data (Big Data) and the ubiquity of devices with sensors and/or processing power offer opportunities and challenges to scientists and engineers. Moreover, the demand for complex models for objective decision support is spreading in business, health, science, e-government and e-learning, which encourages us to invest in different approaches to modelling.

Our overall strategy is to take advantage of the data flood and diversification, and to invest in research lines that will help reduce the gap between collected and useful data, while offering diverse modelling solutions.

At LIAAD, our fundamental scientific principals are machine learning, statistics, optimisation and mathematics.

Latest News
Artificial Intelligence

INESC TEC tests Artificial Intelligence to improve investigation competences in environmental crimes

The Institute joined a European project that's developing a platform targeting police authorities and border guards, towards improving investigation competences when addressing environmental crimes. The Artificial Intelligence (AI) behind the platform is promoted by INESC TEC researchers.

26th February 2024

INESC TEC seeks to help companies embrace digital transformation at lower costs

Digital transition, innovation, business empowerment, financing, disruptive technologies; and a certainty: 2024 will be a year of opportunities for companies that are willing to take risks. Close to 100 participants gathered at Palácio do Freixo to get to know ATTRACT project, coordinated by INESC TEC. 

08th February 2024

Collaboration with Austrian university awarded at international conference

An unsupervised approach that summarises and orders the main changes verified in two versions of the same document – this is the research work that earned Ricardo Campos, a researcher at INESC TEC, Adam Jatowt and Lukas Éder, researchers at the University of Innsbruck (Austria), the Best Demo Paper Award at CIKM'23 - ACM International Conference on Information and Knowledge Management.

10th November 2023

Research made in INESC TEC earns award for pioneering work to extract events from texts written in Portuguese

The paper "Event Extraction for Portuguese: A QA-driven Approach using ACE-2005" won the Best Student Paper Award at the 22nd Portuguese Conference on Artificial Intelligence (EPIA’23). This research work led to the development of an event extraction framework for the Portuguese language. The solution differs not only by targeting Portuguese texts, but by allowing (in addition to the identification and classification of event triggers) the extraction of the arguments associated with the event, namely participants and attributes.  

29th September 2023

INESC TEC researcher appointed editor-in-chief of international publication on data analysis and science

Over the next three years, João Gama, researcher at INESC TEC, will act as the editor-in-chief of JSDA – International Journal of Data Science and Analytics. This journal promotes the presentation and discussion of new trends and opportunities, and the exchange of ideas and practices, encouraging collaboration between domains towards leveraging the analysis and data science domains.

12th July 2023

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Featured Projects

HALM

Humanitarian Accounting Logistics with Machine learning

2024-2024

AI4REALNET

AI for REAL-world NETwork operation

2023-2027

AzDIH

Azores Digital Innovation Hub on Tourism and Sustainability

2023-2025

AIBOOST

Artificial intelligence for better opportunities and scientific progress towards trustworthy and human-centric digital environment

2023-2027

PAPVI2

Previsão Avançada de Preços de Venda de Imóveis

2023-2024

PFAI4_4eD

Programa de Formação Avançada Industria 4 - 4a edição

2023-2023

StorySense

Reaching the Semantic Layers of Stories in Text

2023-2026

ATTRACT_DIH

Digital Innovation Hub for Artificial Intelligence and High-Performance Computing

2022-2025

Produtech_R3

Agenda Mobilizadora da Fileira das Tecnologias de Produção para a Reindustrialização

2022-2025

EMERITUS

Environmental crimes’ intelligence and investigation protocol based on multiple data sources

2022-2025

FAIST

Fábrica Ágil Inteligente Sustentável e Tecnológica

2022-2025

ADANET

Internet das Coisas Assistida por Drones

2022-2025

PFAI4_3ed

Programa de Formação Avançada Industria 4 - 3a edição

2022-2022

FORM_I40

Formação Indústria 4.0

2022-2022

DAnon

Supervised Deanonymization of Dark Web Traffic for Cybercrime Investigation

2022-2023

THEIA

Automated Perception Driving

2022-2023

City Analyser

An agnostic platform to analyse massive mobility patterns

2021-2023

HfPT

Health from Portugal

2021-2025

AgWearCare

Wearables para Monitorização das Condições de Trabalho no Agroflorestal

2021-2023

SADCoPQ

Sistema de Apoio à Decisão no Controlo Preditivo da Qualidade na Indústria Metalomecânica da Precisão

2021-2023

SIGIPRO

Sistema inteligente de gestão de processos habilitados espacialmente

2021-2023

DigitalBudget_VE

Aplicação computacional para orçamentação automática de postos de carregamento de VE

2021-2021

XPM

eXplainable Predictive Maintenance

2021-2024

SSPM

Student Success Prediction Model

2021-2022

OnlineAIOps

Online Artificial Intelligence for IT Operations

2021-2023

AI_Sov

AI Sovereignty

2021-2021

PORT XXI

Space Enabled Sustainable Port Services

2020-2022

Training4DS

Formação Avançada em Data Science - Altice Labs

2020-2020

PFAI4.0

Programa de Formação Avançada Industria 4.0

2020-2021

HumanE-AI-Net

HumanE AI Network

2020-2024

MetaFLow

A Meta Learning work-flow for a Low Code Platform

2020-2021

PAIQAFSR

Provision of advisory inputs and quality assurance of the final study report.

2020-2020

Continental FoF

Fábrica do Futuro da Continental Advanced Antenna

2020-2023

PAFML

Investigação e desenvolvimento para aplicação de Machine Learning a dados de pacientes com Paramiloidose

2020-2023

AIDA

Adaptive, Intelligent and Distributed Assurance Platform

2020-2023

SLSNA

Prestação de Serviços no ambito do projeto SKORR

2020-2021

MINE4HEALTH

Text mining e clinical decision-making

2020-2021

Text2Story

Extracting journalistic narratives from text and representing them in a narrative modeling language

2019-2023

T4CDTKC

Training 4 Cotec, Digital Transformation Knowledge Challenge - Elaboração de Programa de Formação “CONHECER E COMPREENDER O DESAFIO DAS TECNOLOGIAS DE TRANSFORMAÇÃO DIGITAL”

2019-2021

PROMESSA

PROject ManagEment intellingent aSSistAnt

2019-2023

RISKSENS

Market Risk Sensitivities

2019-2020

NDTECH

NDtech 4.0 - Smart and Connected - Estudo e Caderno de Encargos

2019-2019

RAMnet

Risk Assessment for Microfinance

2019-2021

HOUSEVALUE

Estimativa de Valor de Avaliação de Imóveis

2019-2019

Humane_AI

Toward AI Systems That Augment and Empower Humans by Understanding Us, our Society and the World Around Us

2019-2020

MLABA

Machine Learn Based Adaptive Business Assurance

2019-2019

Moveo

Prestação de serviços de investigação e desenvolvimento relativos ao sistema MOVEO

2019-2019

FIN-TECH

A FINancial supervision and TECHnology compliance training programme

2019-2021

FailStopper

Early failure detection of public transport vehicles in operational context

2018-2021

TerraAlva

Terr@Alva

2018-2019

MDG

Modelling, dynamics and games

2018-2022

NITROLIMIT

Life at the edge: define the boundaries of the nitrogen cycle in the extreme Antarctic environments

2018-2022

RUTE

Randtech Update and Test Environment

2018-2020

MaLPIS

Aprendizagem Automática para Deteção de Ataques e Identificação de Perfis Segurança na Internet

2018-2022

SKORR

Advancing the Frontier of Social Media Management Tools

2018-2021

FAST-manufacturing

Flexible And sustainable manufacturing

2018-2022

FLOWTEE

Desenvolvimento de um programa que monitorize automaticamente os níveis de bem-estar (ou felicidade) dos funcionários, a partir de dados disponíveis online

2018-2019

MDIGIREC

Context Recommendation in Digital Marketing

2017-2018

NEXT-NET

Next generation Technologies for networked Europe

2017-2019

RECAP

Research on European Children and Adults born Preterm

2017-2021

SmartFarming

Ferramenta avançada para operacionalização da agricultura de precisão

2016-2018

PANACea

Perfis para Anomalias Consumo

2016-2019

BI4UP2

Business Intelligence (BI) Tool

2016-2017

Dynamics2

Dynamics, optimization and modelling

2016-2019

CORAL-TOOLS

CORAL – Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

MarineEye

MarinEye - A prototype for multitrophic oceanic monitoring

2015-2017

FOUREYES

TEC4Growth - RL FourEyes - Intelligence, Interaction, Immersion and Innovation for media industries

2015-2019

NanoStima-RL5

NanoSTIMA - Advanced Methodologies for Computer-Aided Detection and Diagnosis

2015-2019

iMAN

iMAN - Intelligence for advanced Manufacturing systems

2015-2019

NanoStima-RL3

NanoSTIMA - Health data infrastructure

2015-2019

NanoStima-RL4

NanoSTIMA - Health Data Analysis & Decision

2015-2019

SMILES

SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics

2015-2019

FOTOCATGRAF

Graphene-based semiconductor photocatalysis for a safe and sustainable water supply: an advanced technology for emerging pollutants removal

2015-2018

SEA

SEA-Sistema de ensino autoadaptativo

2015-2015

MAESTRA

Learning from Massive, Incompletely annotated, and Structured Data

2014-2017

BI4UP

Business Intelligence (BI) Tool

2014-2014

SIBILA

Towards Smart Interacting Blocks that Improve Learned Advice

2013-2015

SmartManufacturing

Smart Manufacturing and Logistics

2013-2015

SmartGrids

Smart Grids

2013-2015

Dynamics

Dynamics and Applications

2012-2015

e-Policy

Engineering for the Policy-making Life Cycle (ePolicy)

2011-2014

SIMULESP

Expert system to support network operator on real time decision

2011-2015

CRN

Trust-aware Automatic E-Contract Negotiation in Agent-based Adaptive Normative Environments

2010-2013

KDUS

Knowledge Discovery from Ubiquitous Data Streams

2010-2013

Palco3.0

Intelligent Web system to support the management of a social network on music

2008-2011

Argos

Wind power forecasting system

2008-2012

MOREWAQ

Monitoring and Forecasting of Water Quality Parameters

2008-2011

ORANKI

Resource-bounded outlier detection

2008-2011

Team
Publications

LIAAD Publications

View all Publications

2024

Physio: An LLM-Based Physiotherapy Advisor

Authors
Almeida, R; Sousa, H; Cunha, LF; Guimaraes, N; Campos, R; Jorge, A;

Publication
ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT V

Abstract
The capabilities of the most recent language models have increased the interest in integrating them into real-world applications. However, the fact that these models generate plausible, yet incorrect text poses a constraint when considering their use in several domains. Healthcare is a prime example of a domain where text-generative trustworthiness is a hard requirement to safeguard patient well-being. In this paper, we present Physio, a chat-based application for physical rehabilitation. Physio is capable of making an initial diagnosis while citing reliable health sources to support the information provided. Furthermore, drawing upon external knowledge databases, Physio can recommend rehabilitation exercises and over-the-counter medication for symptom relief. By combining these features, Physio can leverage the power of generative models for language processing while also conditioning its response on dependable and verifiable sources. A live demo of Physio is available at https://physio.inesctec.pt.

2024

The 7th International Workshop on Narrative Extraction from Texts: Text2Story 2024

Authors
Campos, R; Jorge, A; Jatowt, A; Bhatia, S; Litvak, M;

Publication
ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT V

Abstract
The Text2Story Workshop series, dedicated to Narrative Extraction from Texts, has been running successfully since 2018. Over the past six years, significant progress, largely propelled by Transformers and Large Language Models, has advanced our understanding of natural language text. Nevertheless, the representation, analysis, generation, and comprehensive identification of the different elements that compose a narrative structure remains a challenging objective. In its seventh edition, the workshop strives to consolidate a common platform and a multidisciplinary community for discussing and addressing various issues related to narrative extraction tasks. In particular, we aim to bring to the forefront the challenges involved in understanding narrative structures and integrating their representation into established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g., chatGPT) which are now common and form the backbone of almost every IR and NLP application. Text2Story encompasses sessions covering full research papers, work-in-progress, demos, resources, position and dissemination papers, along with keynote talks. Moreover, there is dedicated space for informal discussions on methods, challenges, and the future of research in this dynamic field.

2024

Pre-trained language models: What do they know?

Authors
Guimarães, N; Campos, R; Jorge, A;

Publication
WIREs Data. Mining. Knowl. Discov.

Abstract

2024

Super-Resolution Analysis for Landfill Waste Classification

Authors
Molina, M; Ribeiro, RP; Veloso, B; Gama, J;

Publication
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part I

Abstract
[No abstract available]

2024

Community detection in interval-weighted networks

Authors
Alves, H; Brito, P; Campos, P;

Publication
DATA MINING AND KNOWLEDGE DISCOVERY

Abstract
In this paper we introduce and develop the concept of interval-weighted networks (IWN), a novel approach in Social Network Analysis, where the edge weights are represented by closed intervals composed with precise information, comprehending intrinsic variability. We extend IWN for both Newman's modularity and modularity gain and the Louvain algorithm, considering a tabular representation of networks by contingency tables. We apply our methodology to two real-world IWN. The first is a commuter network in mainland Portugal, between the twenty three NUTS 3 Regions (IWCN). The second focuses on annual merchandise trade between 28 European countries, from 2003 to 2015 (IWTN). The optimal partition of geographic locations (regions or countries) is developed and compared using two new different approaches, designated as Classic Louvain and Hybrid Louvain , which allow taking into account the variability observed in the original network, thereby minimizing the loss of information present in the raw data. Our findings suggest the division of the twenty three Portuguese regions in three main communities for the IWCN and between two to three country communities for the IWTN. However, we find different geographical partitions according to the community detection methodology used. This analysis can be useful in many real-world applications, since it takes into account that the weights may vary within the ranges, rather than being constant.

Facts & Figures

0R&D Employees

2020

72Researchers

2016

23Academic Staff

2020