Reasoning with Cases Imperfectly Described and Explained. - Carlos Bento 001; Luís Macedo; Ernesto Costa (EWCBR, 1994)

Plans as Structured Networks of Hierarchically and Temporally Related Case Pieces. - Luís Macedo; Francisco C. Pereira; Carlos Grilo; Amílcar Cardoso (EWCBR, 1996)

Experimental Study of a Similarity Metric for Retrieving Pieces from Structured Plan Cases: Its Role in the Originality of Plan Case Solutions. - Luís Macedo; Francisco C. Pereira; Carlos Grilo; Amílcar Cardoso (ICCBR, 1997)

A Structured Framework for Representing Time in a Generative Composition System. - Francisco C. Pereira; Carlos Grilo; Luís Macedo; Amílcar Cardoso (TIME, 1997)

A Model for Creative Problem Solving Based on Divergent Production of Solutions. - Luís Macedo (ECAI, 1998)

Nested Graph-Structured Representations for Cases. - Luís Macedo; Amílcar Cardoso (EWCBR, 1998)

Exploration of Unknown Environments with Motivational Agents. - Luís Macedo; Amílcar Cardoso (AAMAS, 2004)

Case-Based, Decision-Theoretic, HTN Planning. - Luís Macedo; Amílcar Cardoso (ECCBR, 2004)

Using CBR in the Exploration of Unknown Environments with an Autonomous Agent. - Luís Macedo; Amílcar Cardoso (ECCBR, 2004)

The practical advantage of surprise-based agents. - Luís Macedo (AAMAS, 2010)

Selecting Information based on Artificial Forms of Selective Attention. - Luís Macedo (ECAI, 2010)

Building Spatiotemporal Emotional Maps for Social Systems. - Pedro Catré; Luís Cardoso; Luís Macedo; Amílcar Cardoso (EPIA, 2011)

Uncertainty and Novelty-Based Selective Attention in the Collaborative Exploration of Unknown Environments. - Luís Macedo; Miguel Tavares; Pedro Gaspar; Amílcar Cardoso (EPIA, 2011)

Revisiting the El Farol Problem: A Cognitive Modeling Approach. - Davi D'Andréa Baccan; Luís Macedo (MABS, 2012)

The exploration of unknown environments populated with entities by a surprise-curiosity-based agent. - Luís Macedo; Amílcar Cardoso (Cogn. Syst. Res., 2012)

Arguments for a Computational Model for Forms of Selective Attention Based on Cognitive and Affective Feelings. - Luís Macedo (ACII, 2013)

Recommending POIs Based on the User's Context and Intentions. - Hernani Pereira Costa; Bárbara Furtado; Durval Pires; Luís Macedo; Amílcar Cardoso (PAAMS (Workshops), 2013)

Emotion-Based Recommender System for Overcoming the Problem of Information Overload. - Hernani Pereira Costa; Luís Macedo (PAAMS (Workshops), 2013)

MultiAgent System Architecture in Orphibs II. - Nuno Barreto; Luís Macedo; Licínio Roque (ALIFE, 2014)

Overcoming information overload with artificial selective agents. - Luís Macedo; Hernani Pereira Costa; Amílcar Cardoso (AAMAS, 2014)

Is the El Farol more efficient when cognitive rational agents have a larger memory size? - Davi Baccan; Luís Macedo; Elton Sbruzzi (SMC, 2014)

Towards modeling surprise in economics and finance: a cognitive science perspective. - Davi Baccan; Luís Macedo; Elton Sbruzzi (STAIRS, 2014)

Incorporation of Emotions in the Orphibs' Agent Architecture. - Nuno Barreto; Luís Macedo; Penousal Machado; Licínio Roque (ECAL, 2015)

On the Cognitive Surprise in Risk Management: An Analysis of the Value-at-Risk (VaR) Historical. - Davi Baccan; Elton Sbruzzi; Luís Macedo (EPIA, 2015)

CodeInsights: Monitoring programming students' progress. - Nuno Gil Fonseca; Luís Macedo; António José Mendes (CompSysTech, 2016)

Monitoring the Progress of Programming Students Supported by a Digital Teaching Assistant. - Nuno Gil Fonseca; Luís Macedo; António José Mendes (EPIA, 2017)

SelEQ: An advanced ground motion record selection and scaling framework. - Luís Macedo; José Miguel Castro (Adv. Eng. Softw., 2017)

Augmenting the teacher's perspective on programming student's performance via permanent monitoring. - Nuno Gil Fonseca; Luís Macedo; Maria José Marcelino; António José Mendes (FIE, 2018)

Supporting Differentiated Instruction in Programming Courses through Permanent Progress Monitoring. - Nuno Gil Fonseca; Luís Macedo; António José Mendes (SIGCSE, 2018)

A Human-in-the-Loop Cyber-Physical Approach for Students Performance Assessment. - José Fernandes 001; Duarte M. G. Raposo; Soraya Sinche; Ngombo Armando; Jorge Sá Silva; André Rodrigues 001; Luís Macedo; Hugo Gonçalo Oliveira; Fernando Boavida (SocialSens@CPSIoTWeek, 2019)

A Recommender System for Telecommunication Operators' Campaigns. - Diogo Alves; Bruno Valente; Ricardo Filipe; Maria Castro; Luís Macedo (EPIA (2), 2019)

Exploring Emojis for Emotion Recognition in Portuguese Text. - Luís Duarte; Luís Macedo; Hugo Gonçalo Oliveira (EPIA (2), 2019)

LabDER - Relational Database Virtual Learning Environment. - Adriano Lino; Álvaro Rocha 001; Luís Macedo; Amanda Sizo (ER Forum/Posters/Demos, 2019)

Application of clustering-based decision tree approach in SQL query error database. - Adriano Lino; Álvaro Rocha 001; Luís Macedo; Amanda Sizo (Future Gener. Comput. Syst., 2019)

A Contrast-Based Computational Model of Surprise and Its Applications. - Luís Macedo; Amílcar Cardoso (Top. Cogn. Sci., 2019)

Forms of Distributed Curiosity in the Collaborative Exploration of Unknown Environments by Artificial Agents. - Luís Macedo (CogSci, 2020)

Emoji Prediction for Portuguese. - Luís Duarte; Luís Macedo; Hugo Gonçalo Oliveira (PROPOR, 2020)

ISABELA - A Socially-Aware Human-in-the-Loop Advisor System. - José Fernandes 001; Duarte M. G. Raposo; Ngombo Armando; Soraya Sinche; Jorge Sá Silva; André Rodrigues 001; Vasco Pereira; Hugo Gonçalo Oliveira; Luís Macedo; Fernando Boavida (Online Soc. Networks Media, 2020)

The importance of using the CodeInsights monitoring tool to support teaching programming in the context of a pandemic. - Nuno Gil Fonseca; Luís Macedo; António José Mendes (FIE, 2021)

Open-World Active Learning with Stacking Ensemble for Self-Driving Cars. - Paulo R. Vieira; Pedro D. Félix; Luís Macedo (CoRR, 2021)

The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction - A Case Study in the Heart Attack Domain. - Bruno Faria 001; Dylan Perdigão; Joana Brás; Luís Macedo (EPIA, 2022)

An Active Learning-Based Medical Diagnosis System. - Catarina Pinto; Juliana Faria; Luís Macedo (EPIA, 2022)

The Accuracy and Faithfullness of AL-DLIME - Active Learning-Based Deterministic Local Interpretable Model-Agnostic Explanations: A Comparison with LIME and DLIME in Medicine. - Sarah Holm; Luís Macedo (xAI (1), 2023)

Extending a Quantum Reinforcement Learning Exploration Policy with Flags to Connect Four. - Filipe Santos; João Paulo Fernandes; Luís Macedo (CoRR, 2025)