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Luís Macedo
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2020 – today
- 2023
- [c37]Sarah Holm
, Luís Macedo
The Accuracy and Faithfullness of AL-DLIME - Active Learning-Based Deterministic Local Interpretable Model-Agnostic Explanations: A Comparison with LIME and DLIME in Medicine. xAI (1) 2023: 582-605 - 2022
- [c36]Catarina Pinto
An Active Learning-Based Medical Diagnosis System. EPIA 2022: 207-218 - [c35]Bruno Faria
The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction - A Case Study in the Heart Attack Domain. EPIA 2022: 464-475 - 2021
- [c34]Nuno Gil Fonseca, Luís Macedo, António José Mendes
The importance of using the CodeInsights monitoring tool to support teaching programming in the context of a pandemic. FIE 2021: 1-8 - [i1]Paulo R. Vieira, Pedro D. Félix, Luís Macedo:
Open-World Active Learning with Stacking Ensemble for Self-Driving Cars. CoRR abs/2109.06628 (2021) - 2020
- [j5]José Fernandes
ISABELA - A Socially-Aware Human-in-the-Loop Advisor System. Online Soc. Networks Media 16: 100060 (2020) - [c33]Luís Macedo
Forms of Distributed Curiosity in the Collaborative Exploration of Unknown Environments by Artificial Agents. CogSci 2020 - [c32]Luís Duarte
Emoji Prediction for Portuguese. PROPOR 2020: 174-183
2010 – 2019
- 2019
- [j4]Adriano Lino
Application of clustering-based decision tree approach in SQL query error database. Future Gener. Comput. Syst. 93: 392-406 (2019) - [j3]Luís Macedo
A Contrast-Based Computational Model of Surprise and Its Applications. Top. Cogn. Sci. 11(1): 88-102 (2019) - [c31]José Fernandes, Duarte M. G. Raposo
A Human-in-the-Loop Cyber-Physical Approach for Students Performance Assessment. SocialSens@CPSIoTWeek 2019: 36-42 - [c30]Diogo Alves
A Recommender System for Telecommunication Operators' Campaigns. EPIA (2) 2019: 83-95 - [c29]Luís Duarte, Luís Macedo
Exploring Emojis for Emotion Recognition in Portuguese Text. EPIA (2) 2019: 719-730 - [c28]Adriano Lino, Álvaro Rocha, Luís Macedo
LabDER - Relational Database Virtual Learning Environment. ER Forum/Posters/Demos 2019: 42-55 - 2018
- [c27]Nuno Gil Fonseca, Luís Macedo
Augmenting the teacher's perspective on programming student's performance via permanent monitoring. FIE 2018: 1-9 - [c26]Nuno Gil Fonseca, Luís Macedo
Supporting Differentiated Instruction in Programming Courses through Permanent Progress Monitoring. SIGCSE 2018: 209-214 - 2017
- [j2]Luís Macedo
SelEQ: An advanced ground motion record selection and scaling framework. Adv. Eng. Softw. 114: 32-47 (2017) - [c25]Nuno Gil Fonseca, Luís Macedo, António José Mendes
Monitoring the Progress of Programming Students Supported by a Digital Teaching Assistant. EPIA 2017: 75-86 - 2016
- [c24]Nuno Gil Fonseca, Luís Macedo
CodeInsights: Monitoring programming students' progress. CompSysTech 2016: 375-382 - 2015
- [c23]Nuno Barreto, Luís Macedo
Incorporation of Emotions in the Orphibs' Agent Architecture. ECAL 2015: 311 - [c22]Davi Baccan, Elton Sbruzzi, Luís Macedo:
On the Cognitive Surprise in Risk Management: An Analysis of the Value-at-Risk (VaR) Historical. EPIA 2015: 402-413 - 2014
- [c21]Nuno Barreto, Luís Macedo
MultiAgent System Architecture in Orphibs II. ALIFE 2014: 588-595 - [c20]Luís Macedo
Overcoming information overload with artificial selective agents. AAMAS 2014: 1597-1598 - [c19]Davi Baccan, Luís Macedo
Is the El Farol more efficient when cognitive rational agents have a larger memory size? SMC 2014: 39-44 - [c18]Davi Baccan, Luís Macedo
Towards modeling surprise in economics and finance: a cognitive science perspective. STAIRS 2014: 31-40 - 2013
- [c17]Luís Macedo
Arguments for a Computational Model for Forms of Selective Attention Based on Cognitive and Affective Feelings. ACII 2013: 103-108 - [c16]Hernani Pereira Costa, Bárbara Furtado, Durval Pires, Luís Macedo
Recommending POIs Based on the User's Context and Intentions. PAAMS (Workshops) 2013: 166-177 - [c15]Hernani Pereira Costa, Luís Macedo
Emotion-Based Recommender System for Overcoming the Problem of Information Overload. PAAMS (Workshops) 2013: 178-189 - 2012
- [j1]Luís Macedo
The exploration of unknown environments populated with entities by a surprise-curiosity-based agent. Cogn. Syst. Res. 19-20: 62-87 (2012) - [c14]Davi D'Andréa Baccan, Luís Macedo
Revisiting the El Farol Problem: A Cognitive Modeling Approach. MABS 2012: 56-68 - 2011
- [c13]Luís Macedo
Uncertainty and Novelty-Based Selective Attention in the Collaborative Exploration of Unknown Environments. EPIA 2011: 521-535 - [c12]Pedro Catré, Luís Cardoso, Luís Macedo
Building Spatiotemporal Emotional Maps for Social Systems. EPIA 2011: 566-580 - 2010
- [c11]Luís Macedo:
The practical advantage of surprise-based agents. AAMAS 2010: 1401-1402 - [c10]Luís Macedo
Selecting Information based on Artificial Forms of Selective Attention. ECAI 2010: 1053-1054
2000 – 2009
- 2004
- [c9]Luís Macedo, Amílcar Cardoso:
Exploration of Unknown Environments with Motivational Agents. AAMAS 2004: 328-335 - [c8]Luís Macedo, Amílcar Cardoso
Case-Based, Decision-Theoretic, HTN Planning. ECCBR 2004: 257-271 - [c7]Luís Macedo, Amílcar Cardoso
Using CBR in the Exploration of Unknown Environments with an Autonomous Agent. ECCBR 2004: 272-286
1990 – 1999
- 1998
- [c6]Luís Macedo:
A Model for Creative Problem Solving Based on Divergent Production of Solutions. ECAI 1998: 100-101 - [c5]Luís Macedo, Amílcar Cardoso
Nested Graph-Structured Representations for Cases. EWCBR 1998: 1-12 - 1997
- [c4]Luís Macedo, Francisco C. Pereira
Experimental Study of a Similarity Metric for Retrieving Pieces from Structured Plan Cases: Its Role in the Originality of Plan Case Solutions. ICCBR 1997: 575-586 - [c3]Francisco C. Pereira, Carlos Grilo
A Structured Framework for Representing Time in a Generative Composition System. TIME 1997: 168-174 - 1996
- [c2]Luís Macedo, Francisco C. Pereira
Plans as Structured Networks of Hierarchically and Temporally Related Case Pieces. EWCBR 1996: 234-248 - 1994
- [c1]Carlos Bento, Luís Macedo, Ernesto Costa:
Reasoning with Cases Imperfectly Described and Explained. EWCBR 1994: 45-59
Coauthor Index
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last updated on 2024-05-08 20:58 CEST by the dblp team
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