1
TÍTULO: Personalized Counterfactual Explanations via Cluster-Based Fine-Tuning of GANs
AUTORES: Fares, Ahmed A. ; Mendes Moreira, Joao ;
PUBLICAÇÃO: 2026, FONTE: 26th International Conference on Intelligent Data Engineering and Automated Learning-IDEAL in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING-IDEAL 2025, PT II, VOLUME: 16239
INDEXADO EM: Scopus WOS DBLP CrossRef Unpaywall
2
TÍTULO: Integrating machine learning techniques for predicting ground vibration in pile driving activities
AUTORES: Abouelmaty, Ahmed M.; Colaco, Aires ; Fares, Ahmed A. ; Ramos, Ana; Costa, Pedro Alves ;
PUBLICAÇÃO: 2024, FONTE: COMPUTERS AND GEOTECHNICS, VOLUME: 176
INDEXADO EM: Scopus WOS CrossRef: 6
NO MEU: ORCID
3
TÍTULO: Process mining embeddings: Learning vector representations for Petri nets
AUTORES: Colonna, Juan G.; Fares, Ahmed A. ; Duarte, Marcio ; Sousa, Ricardo ;
PUBLICAÇÃO: 2024, FONTE: INTELLIGENT SYSTEMS WITH APPLICATIONS, VOLUME: 23
INDEXADO EM: Scopus WOS CrossRef: 2
4
TÍTULO: An Analysis of Monte Carlo Simulations for Forecasting Software Projects
AUTORES: Miranda, P; Faria, JP ; Correia, FF ; Fares, A ; Graça, R; Moreira, JM ;
PUBLICAÇÃO: 2021, FONTE: 36TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2021
INDEXADO EM: Scopus WOS DBLP CrossRef: 2
5
TÍTULO: Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning
AUTORES: Fares, Ahmed A. ; Vasconcelos, Fabio; Mendes Moreira, Joao ; Ferreira, Carlos ;
PUBLICAÇÃO: 2021, FONTE: 20th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021), VOLUME: 12981
INDEXADO EM: Scopus WOS DBLP CrossRef: 1
6
TÍTULO: Process Mining for Analyzing Customer Relationship Management Systems: A Case Study
AUTORES: Ahmed Fares ; João Gama; Pedro Campos;
PUBLICAÇÃO: 2018, FONTE: Studies in Big Data - Learning from Data Streams in Evolving Environments
INDEXADO EM: CrossRef: 4
NO MEU: ORCID