The accepted conference papers were published in a volume of “Lecture Notes in Computer Science” (LNCS) by Springer, which was made available after the conference (LNCS, volume 13566).
Springer also sponsored an award for the best research paper presented at the conference. The winner was the paper “Almost certain termination for ALC weakening,” from Confalonieri et al. and presented in the Knowledge Representation and Reasoning track.
Artificial Intelligence for Industry and Societies
Diogo Carvalho and Biswa Sengupta
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment
Carlos Balsa and Paulo Piloto
Estimating the Temperature on the Reinforcing Bars of Composite Slabs Under Fire Conditions
Artificial Intelligence and Law
Vera Lúcia Raposo
The European Draft Regulation on Artificial Intelligence: Houston, We Have a Problem
Tracy Pearl
Traffic Stops in the Age of Autonomous Vehicles
Monique Arruda
Unraveling the algorithms for humanized digital work oriented artificial intelligence
Hugo Mentzingen, Nuno António and Fernando Bação
A rapid semi-automated literature review on legal precedents retrieval
Daniela Freire, Leonardo Carneiro Feltran, André Carlos Ponce de Leon Ferreira de Carvalho, João Eduardo Ferreira, Pedro Losco Takecian, Kelly Cristina Ramos da Silva, Danilo Carlotti, Claudemir Firmino Souza Cruz, Lara Ayumi Nagamatsu, Francisco Antonio Cavalcanti Lima and Roberto Mendes Portela
Content-based Lawsuits Document Image Retrieval
Nídia Moreira
The compatibility of AI in criminal system with the ECHR and ECtHR jurisprudence
Dyonnatan F. Maia, Nádia F. F. Silva, Ellen P. R. Souza, Augusto S. Nunes, Lucas C. Procópio, Guthemberg da S. Sampaio, Márcio de S. Dias, Adrio O. Alves, Dyéssica F. Maia, Ingrid A. Ribeiro, Fabíola S. F. Pereira and André P. de L. F. de Carvalho
UlyssesSD-Br: Stance Detection in Brazilian Political Polls
Daniela Freire, Leonardo Carneiro Feltran, Lara Ayumi Nagamatsu, André Carlos Ponce de Leon Ferreira de Carvalho, João Eduardo Ferreira, Danilo Carlotti, Kelly Cristina Ramos da Silva, Claudemir Firmino Souza Cruz, Pedro Losco Takecian, Francisco Antônio Cavalcanti Lima and Roberto Mendes Portela
Lawsuits Document Images Processing Classification
Marco Gomes, Bruno Oliveira and Cristóvão Sousa
Enriching legal knowledge through Intelligent Information Retrieval Techniques: a review
Artificial Intelligence in Medicine
Julia A. Meister, Khuong An Nguyen and Zhiyuan Luo
Audio feature ranking for sound-based COVID-19 patient detection
Beatriz Soares, João Alves, Cláudia Brito and António Sousa
Cloud-based Privacy-preserving Medical Imaging System using Machine Learning Tools
Tetiana Biloborodova, Semen Lomakin and Inna Skarga-Bandurova
Region of Interest Identification in the Cervical Digital Histology Images
Maria Pedroto, Alipio M. Jorge, João Mendes Moreira and Teresa Coelho
Improving the prediction of Age of Onset of TTR-FAP patients using graph-embedding features
Catarina Pinto, Juliana Faria and Luis Macedo
An Active Learning-based Medical Diagnosis System
João Lopes, Mariana Faria, Diogo Peixoto, Rui Macedo, Hugo Peixoto, Manuel Santos and Agostinho Barbosa
Determining Internal Medicine Length of Stay by means of Predictive Analytics
Ana Beatriz Vieira, Ana Catarina Fonseca, José Ferro and Arlindo Oliveira
Using a Siamese Network to Accurately Detect Ischemic Stroke in Computed Tomography Scans
Beatriz Leitão, Paula Faustino and Susana Vinga
Comparative evaluation of classification indexes and outlier detection of microcytic anaemias in a Portuguese sample
Khaoula Echabbi, Elmoukhtar Zemmouri, Mohammed Douimi and Hamdi Salsabil
A General Preprocessing Pipeline for Deep Learning on Radiology Images: A COVID-19 Case Study
Artificial Intelligence in Power and Energy Systems
Daniel Ramos, Pedro Faria, Luis Gomes, Pedro Campos and Zita Vale
A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts
José Baptista, Nuno Pimenta, Raul Morais and Tiago Pinto
Modeling stand-alone photovoltaic systems with Matlab/Simulink
Vitor Oliveira, Tiago Pinto, Ricardo Faia, Bruno Veiga, Joao Soares, Ruben Romero and Zita Vale
Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation using Sequential Model Algorithm Configuration
Artificial Intelligence in Transportation Systems
Martin Aleksandrov
Fairness for Drivers and Pareto Optimality for Customers in Intelligent Vehicle Applications
António Ribeiro da Costa, Zafeiris Kokkinogenis, Pedro d’Orey and Rosaldo Rossetti
Assessing Communication Strategies in C-ITS using n-Person Prisoner’s Dilemma perspective
Cláudia Rodrigues, Marco Veloso, Ana Alves, Gonçalo Ferreira and Carlos Bento
Generating the Users Geographic Map Using Mobile Phone Data
Saleh Alaliyat, Deepti Mishra, Ute Schaarschmidt, Zhicheng Hu, Amirashkan Haghshenas and Laura Giarre
On demand waste collection for smart cities: a case study
Pedro Pereira, António Silva, Rui Machado, João Silva, Dalila Durães, José Machado, Paulo Novais, João Monteiro, Pedro Melo-Pinto and Duarte Fernandes
Comparison of different deployment ap-proaches of FPGA-Based Hardware Accelera-tor for 3D Object Detection Models
Ambient Intelligence and Affective Environments
Kristián Fodor, Zoltán Balogh and Jan Francisti
Visualization of Physiological Response in the Context of Emotion Recognition
Sergio Márquez, Jorge Herrera, Sergio Alonso, Ana M. Pérez and Sara Rodríguez
Lorawan Module for Measurement of Environmental Parameters and Control of Irrigation Systems for Agricultural and Livestock Facilities
Bruno Teixeira, Diogo Martinho, Paulo Novais, Juan Corchado and Goreti Marreiros
Diabetic-Friendly Multi-Agent Recommendation System for Restaurants based on Social Media Sentiment Analysis and Multi-Criteria Decision Making
Catarina Antelo, Diogo Martinho and Goreti Marreiros
A review on supervised learning methodologies for detecting eating habits of diabetic patients
General AI
Helder Coelho
On Developing Ethical AI
Felix Schön and Hans Tompits
PAUL: An Algorithmic Composer for Classical Piano Music Supporting Multiple Complexity Levels
Gloria Pietropolli, Gianpiero Cossarini and Luca Manzoni
GANs for integration of deterministic model and observations in marine ecosystem
Matthias Kissel, Martin Gottwald, Biljana Gjeroska, Philipp Paukner and Klaus Diepold
Backpropagation Through States: Training Neural Networks with Sequentially Semiseparable Weight Matrices
Filipe Fernandes, Almeida Dias, Isabel Araújo, Goreti Marreiros, Joana Machado, Hossam Dawa, Henrique Vicente and José Neves
Effective Communication in Transition Care During Shift Change
Carla Guerra, Francisco S. Melo and Manuel Lopes
FIT: Using feature importance to teach classification tasks to unknown learners
Bruno Faria, Dylan Perdigão, Joana Brás and Luis Macedo
The joint role of Batch Size and Query Strategy in Active Learning-based Prediction – A case study in the Heart Attack Domain
Tiago Oliveira and Arlindo Oliveira
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture
Kevin Martins and Rui Mendes
Cherry-picking meta-heuristic algorithms and parameters for real optimization problems
Catarina Silva, António Morais and Bernardete Ribeiro
A Generic Approach to Extend Interpretability of Deep Networks
Intelligent Robotics
Matthias Kissel, Sven Gronauer, Mathias Korte, Luca Sacchetto and Klaus Diepold
Exploiting Structures in Weight Matrices for Efficient Real-Time Drone Control with Neural Networks
Roberto Oterino-Bono, Nieves Pavon-Pulido, Jesús Damián Blasco-García, Juan Antonio López-Riquelme, Marta Jiménez-Muñoz, Jorge J. Feliu-Batlle and María Trinidad Herrero
Deep Learning methods integration for improving Natural Interaction between humans and an assistant mobile robot in the context of autonomous navigation
Knowledge Discovery and Business Intelligence
Edson Duarte, Daniel de Haro Moraes and Lucas Leonardo Padula
A Learning-to-Rank Approach for Spare Parts Consumption in the Repair Process
Susana Nascimento, Alexandre Martins, Paulo Relvas, Joaquim F. Luis and Boris Mirkin
Novel Cluster Modeling for the Spatio-Temporal Analysis of Coastal Upwelling
Pedro José Pereira, Nuno Costa, Margarida Barros, Paulo Cortez, António Silva, Dalila Durães and José Machado
A Comparison of Automated Time Series Forecasting Tools for Smart Cities
Ana Nogueira, Carlos Ferreira and João Gama
Temporal Nodes Causal Discovery for in ICU Survival Analysis
Paulo Pinheiro and Luís Cavique
Uplift modeling using the transform outcome approach
Bruno Oliveira, Mário Leite, Óscar Oliveira and Orlando Belo
A Service-Oriented Framework for ETL Implementation
Thiago Andrade and João Gama
How are you riding? Transportation Mode Identification from Raw GPS Data
Tiago Afonso and Claudia Antunes
The Automation of Feature Generation with Domain Knowledge
David Silva and Fernando Bacão
MapIntel: Enhancing Competitive Intelligence Acquisition Through Embeddings and Visual Analytics
Knowledge Representation and Reasoning
Yusuf Izmirlioglu, Loc Pham, Tran Cao Son and Enrico Pontelli
A Robust State Transition Function for Multi-agent Epistemic Systems
Pedro Cabalar, Manuel Framil and Jose Santos
A MaxSAT Solver based on Differential Evolution (preliminary report)
Maria Eugenia Cornejo Piñero, Luis Fariñas del Cerro and Jesús Medina
Multi-adjoint lattice logic. Properties and query answering
João Alves, Nuno Lau and Filipe Silva
Skill Learning for Long-Horizon Sequential Tasks
Roberto Confalonieri, Pietro Galliani, Oliver Kutz, Daniele Porello, Guendalina Righetti and Nicolas Troquard
Almost certain termination for ALC weakening
(winner of the EPIA’22 best paper award)
Multi-Agent Systems: Theory and Applications
Martin Aleksandrov
Envy-freeness up to one item: Shall we add or remove resources?
André Behr, Helia Guerra, Paulo Trigo, Luis Cavique, Helder Coelho, Rosa Vicari, Armando Mendes and Jose Cascalho
Bringing Underused Learning Objects to the Light: A Multi-Agent based Approach
Alexandre Neves and Alberto Sardinha
Learning to Cooperate with Completely Unknown Teammates
Text Mining and Applications
João Damas, José Luís Devezas and Sérgio Nunes
Federated Search using Query Log Evidence
Rosimeire Pereira da Costa, Hidelberg Oliveira Albuquerque, Gabriel Silvestre, Nádia Félix F. da Silva, Ellen Polliana Ramos Souza, Augusto Sousa Nunes, Márcio de Souza Dias, Fabíola S. F. Pereira, André P. de L. F. de Carvalho, Miguel Gardini, Vinicius Silva, Adriano L. I. Oliveira, Matheus Silva, João Vitor Beinotti, João Pedro Tarrega, Felipe Siqueira and Douglas Vitório
Expanding [Omitted] Named Entity Recognition Corpus with Informal User-generated Text
Bernardo Leite and Henrique Lopes Cardoso
Neural Question Generation for the Portuguese Language: A Preliminary Study