Geo-Self-OrganizingMap (Geo-SOM) for Building and Exploring Homogeneous Regions. - Fernando Bação; Victor Sousa Lobo; Marco Painho (GIScience, 2004)

Self-organizing Maps as Substitutes for K-Means Clustering. - Fernando Bação; Victor Sousa Lobo; Marco Painho (International Conference on Computational Science (3), 2005)

The self-organizing map, the Geo-SOM, and relevant variants for geosciences. - Fernando Bação; Victor Sousa Lobo; Marco Painho (Comput. Geosci., 2005)

Applying genetic algorithms to zone design. - Fernando Bação; Victor Sousa Lobo; Marco Painho (Soft Comput., 2005)

Exploring spatial data through computational intelligence: a joint perspective. - Marco Painho; Athanasios V. Vasilakos; Fernando Bação; Witold Pedrycz (Soft Comput., 2005)

Density Based Fuzzy Membership Functions in the Context of Geocomputation. - Victor Sousa Lobo; Fernando Bação; Miguel Loureiro (International Conference on Computational Science (2), 2007)

Expectation-Maximization x Self-Organizing Maps for Image Classification. - Thales Sehn Körting; Leila Maria Garcia Fonseca; Fernando Bação (SITIS, 2008)

GeoSOM Suite: A Tool for Spatial Clustering. - Roberto Henriques; Fernando Bação; Victor Sousa Lobo (ICCSA (1), 2009)

Cartograms, Self-Organizing Maps, and Magnification Control. - Roberto Henriques; Fernando Bação; Victor Sousa Lobo (WSOM, 2009)

Carto-SOM: cartogram creation using self-organizing maps. - Roberto Henriques; Fernando Bação; Victor Sousa Lobo (Int. J. Geogr. Inf. Sci., 2009)

Exploratory Factor Analysis for the Digital Divide: Evidence for the European Union - 27. - Frederico Cruz-Jesus; Tiago Oliveira 001; Fernando Bação (CENTERIS (1), 2011)

Digital divide across the European Union. - Frederico Cruz-Jesus; Tiago Oliveira 001; Fernando Bação (Inf. Manag., 2012)

Exploratory geospatial data analysis using the GeoSOM suite. - Roberto Henriques; Fernando Bação; Victor Sousa Lobo (Comput. Environ. Urban Syst., 2012)

e-learning concept trends. - Manuela Aparicio; Fernando Bação (ISDOC, 2013)

MOOC's business models: turning black swans into gray swans. - Manuela Aparicio; Fernando Bação; Tiago Oliveira 001 (ISDOC, 2014)

The education-related digital divide: An analysis for the EU-28. - Frederico Cruz-Jesus; María Rosalía Vicente; Fernando Bação; Tiago Oliveira 001 (Comput. Hum. Behav., 2016)

An e-Learning Theoretical Framework. - Manuela Aparicio; Fernando Bação; Tiago Oliveira 001 (J. Educ. Technol. Soc., 2016)

Cultural impacts on e-learning systems' success. - Manuela Aparicio; Fernando Bação; Tiago Oliveira 001 (Internet High. Educ., 2016)

Grit in the path to e-learning success. - Manuela Aparicio; Fernando Bação; Tiago Oliveira 001 (Comput. Hum. Behav., 2017)

Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE. - Georgios Douzas; Fernando Bação (CoRR, 2017)

Oversampling for Imbalanced Learning Based on K-Means and SMOTE. - Felix Last; Georgios Douzas; Fernando Bação (CoRR, 2017)

Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning. - Georgios Douzas; Fernando Bação (Expert Syst. Appl., 2017)

Assessing the pattern between economic and digital development of countries. - Frederico Cruz-Jesus; Tiago Oliveira 001; Fernando Bação; Zahir Irani (Inf. Syst. Frontiers, 2017)

Specific Land Cover Class Mapping by Semi-Supervised Weighted Support Vector Machines. - Joel Silva; Fernando Bação; Mario Caetano (Remote. Sens., 2017)

Effective data generation for imbalanced learning using conditional generative adversarial networks. - Georgios Douzas; Fernando Bação (Expert Syst. Appl., 2018)

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE. - Georgios Douzas; Fernando Bação; Felix Last (Inf. Sci., 2018)

The Global Digital Divide: Evidence and Drivers. - Frederico Cruz-Jesus; Tiago Oliveira 001; Fernando Bação (J. Glob. Inf. Manag., 2018)

Gamification: A key determinant of massive open online course (MOOC) success. - Manuela Aparicio; Tiago Oliveira 001; Fernando Bação; Marco Painho (Inf. Manag., 2019)

Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE. - Georgios Douzas; Fernando Bação (Inf. Sci., 2019)

Imbalanced Learning in Land Cover Classification: Improving Minority Classes' Prediction Accuracy Using the Geometric SMOTE Algorithm. - Georgios Douzas; Fernando Bação; João Fonseca; Manvel Khudinyan (Remote. Sens., 2019)

A comprehensive model integrating UTAUT and ECM with espoused cultural values for investigating users' continuance intention of using mobile payment. - Yuyang Zhao; Fernando Bação (ICBDT, 2020)

Spatial Data Science. - Fernando Bação; Maribel Yasmina Santos; Martin Behnisch (ISPRS Int. J. Geo Inf., 2020)

Public Procurement Fraud Detection: A Review Using Network Analysis. - Marcos S. Lyra; Flávio L. Pinheiro; Fernando Bação (COMPLEX NETWORKS, 2021)

Characterization of the firm-firm public procurement co-bidding network from the State of Ceará (Brazil) municipalities. - Marcos S. Lyra; António Curado; Bruno Damásio; Fernando Bação; Flávio L. Pinheiro (Appl. Netw. Sci., 2021)

G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE. - Georgios Douzas; Rene Rauch; Fernando Bação (Expert Syst. Appl., 2021)

Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review. - Vitória Albuquerque; Miguel Sales Dias; Fernando Bação (ISPRS Int. J. Geo Inf., 2021)

Improving Imbalanced Land Cover Classification with K-Means SMOTE: Detecting and Oversampling Distinctive Minority Spectral Signatures. - João Fonseca; Georgios Douzas; Fernando Bação (Inf., 2021)

Increasing the Effectiveness of Active Learning: Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification. - João Fonseca; Georgios Douzas; Fernando Bação (Remote. Sens., 2021)

A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. - Hugo Silva 007; Nuno António; Fernando Bação (EPIA, 2022)

MapIntel: Enhancing Competitive Intelligence Acquisition Through Embeddings and Visual Analytics. - David Silva; Fernando Bação (EPIA, 2022)

Fraud, corruption, and collusion in public procurement activities, a systematic literature review on data-driven methods. - Marcos S. Lyra; Bruno Damásio; Flávio L. Pinheiro; Fernando Bação (Appl. Netw. Sci., 2022)

Research Trends and Applications of Data Augmentation Algorithms. - João Fonseca; Fernando Bação (CoRR, 2022)

Geometric SMOTE for regression. - Luís Camacho; Georgios Douzas; Fernando Bação (Expert Syst. Appl., 2022)

Detecting Fraudulent Wallets in Ethereum Blockchain Combining Supervised and Unsupervised Techniques - Using Autoencoders and XGboost. - João Crisóstomo; Victor Sousa Lobo; Fernando Bação (BLOCKCHAIN, 2023)

Improving Active Learning Performance through the Use of Data Augmentation. - João Fonseca; Fernando Bação (Int. J. Intell. Syst., 2023)

Automation of Legal Precedents Retrieval: Findings from a Literature Review. - Hugo Mentzingen; Nuno António; Fernando Bação (Int. J. Intell. Syst., 2023)

A secure cross-domain interaction scheme for blockchain-based intelligent transportation systems. - Haiping Si; Weixia Li; Qingyi Wang; Haohao Cao; Fernando Bação; Changxia Sun (PeerJ Comput. Sci., 2023)

MapIntel: A visual analytics platform for competitive intelligence. - David Silva; Fernando Bação (Expert Syst. J. Knowl. Eng., 2023)

Geometric SMOTE for imbalanced datasets with nominal and continuous features. - João Fonseca; Fernando Bação (Expert Syst. Appl., 2023)

Tabular and latent space synthetic data generation: a literature review. - João Fonseca; Fernando Bação (J. Big Data, 2023)

E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review. - Abed Mutemi; Fernando Bação (Big Data Min. Anal., 2024)

A cross-chain access control mechanism based on blockchain and the threshold Paillier cryptosystem. - Haiping Si; Weixia Li; Nan Su; Tingting Li; Yanling Li; Chuanhu Zhang; Fernando Bação; Changxia Sun (Comput. Commun., 2024)

Textual similarity for legal precedents discovery: Assessing the performance of machine learning techniques in an administrative court. - Hugo Mentzingen; Nuno António; Fernando Bação; Márcio Cunha (Int. J. Inf. Manag. Data Insights, 2024)

Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models. - Abed Mutemi; Fernando Bação (Int. J. Inf. Manag. Data Insights, 2024)

UMAP-SMOTENC: A simple, efficient, and consistent alternative for privacy-aware synthetic data generation. - Goncalo Almeida; Fernando Bação (Knowl. Based Syst., 2024)

Triplet extraction leveraging sentence transformers and dependency parsing. - Stuart Gallina Ottersen; Flávio L. Pinheiro; Fernando Bação (Array, 2024)

WSMOTER: a novel approach for imbalanced regression. - Luís Camacho; Fernando Bação (Appl. Intell., 2024)

Correction to: WSMOTER: a novel approach for imbalanced regression. - Luís Camacho; Fernando Bação (Appl. Intell., 2024)

Machine learning methods for detecting smart contracts vulnerabilities within Ethereum blockchain - A review. - João Crisóstomo; Fernando Bação; Victor Sousa Lobo (Expert Syst. Appl., 2025)