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ORCIDFernando Bação
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2020 – today
- 2024
[j41]Luís Camacho
, Fernando Bação:
WSMOTER: a novel approach for imbalanced regression. Appl. Intell. 54(19): 8789-8799 (2024)- [j40]Luís Camacho, Fernando Bação:
Correction to: WSMOTER: a novel approach for imbalanced regression. Appl. Intell. 54(21): 11160 (2024) - [j39]Stuart Gallina Ottersen, Flávio L. Pinheiro, Fernando Bação:
Triplet extraction leveraging sentence transformers and dependency parsing. Array 21: 100334 (2024) - [j38]Abed Mutemi, Fernando Bação:
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review. Big Data Min. Anal. 7(2): 419-444 (2024) - [j37]Haiping Si, Weixia Li, Nan Su, Tingting Li, Yanling Li, Chuanhu Zhang, Fernando Bação, Changxia Sun:
A cross-chain access control mechanism based on blockchain and the threshold Paillier cryptosystem. Comput. Commun. 223: 68-80 (2024) - [j36]Hugo Mentzingen, Nuno António, Fernando Bação, Márcio Cunha:
Textual similarity for legal precedents discovery: Assessing the performance of machine learning techniques in an administrative court. Int. J. Inf. Manag. Data Insights 4(2): 100247 (2024) - [j35]Abed Mutemi, Fernando Bação:
Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models. Int. J. Inf. Manag. Data Insights 4(2): 100256 (2024) - [j34]Goncalo Almeida, Fernando Bação:
UMAP-SMOTENC: A simple, efficient, and consistent alternative for privacy-aware synthetic data generation. Knowl. Based Syst. 300: 112174 (2024) - 2023
- [j33]David Silva, Fernando Bação:
MapIntel: A visual analytics platform for competitive intelligence. Expert Syst. J. Knowl. Eng. 40(10) (2023) - [j32]João Fonseca, Fernando Bação:
Geometric SMOTE for imbalanced datasets with nominal and continuous features. Expert Syst. Appl. 234: 121053 (2023) - [j31]João Fonseca, Fernando Bação:
Improving Active Learning Performance through the Use of Data Augmentation. Int. J. Intell. Syst. 2023: 1-17 (2023) - [j30]Hugo Mentzingen, Nuno António, Fernando Bação:
Automation of Legal Precedents Retrieval: Findings from a Literature Review. Int. J. Intell. Syst. 2023: 1-22 (2023) - [j29]João Fonseca, Fernando Bação:
Tabular and latent space synthetic data generation: a literature review. J. Big Data 10(1): 115 (2023) - [j28]Haiping Si, Weixia Li, Qingyi Wang, Haohao Cao, Fernando Bação, Changxia Sun:
A secure cross-domain interaction scheme for blockchain-based intelligent transportation systems. PeerJ Comput. Sci. 9: e1678 (2023) - [c14]João Crisóstomo, Victor Sousa Lobo, Fernando Bação:
Detecting Fraudulent Wallets in Ethereum Blockchain Combining Supervised and Unsupervised Techniques - Using Autoencoders and XGboost. BLOCKCHAIN 2023: 224-233 - 2022
- [j27]Marcos S. Lyra, Bruno Damásio, Flávio L. Pinheiro, Fernando Bação:
Fraud, corruption, and collusion in public procurement activities, a systematic literature review on data-driven methods. Appl. Netw. Sci. 7(1): 83 (2022) - [j26]Luís Camacho, Georgios Douzas, Fernando Bação:
Geometric SMOTE for regression. Expert Syst. Appl. 193: 116387 (2022) - [c13]Hugo Silva, Nuno António, Fernando Bação:
A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. EPIA 2022: 53-65 - [c12]David Silva, Fernando Bação:
MapIntel: Enhancing Competitive Intelligence Acquisition Through Embeddings and Visual Analytics. EPIA 2022: 599-610 - [i4]João Fonseca, Fernando Bação:
Research Trends and Applications of Data Augmentation Algorithms. CoRR abs/2207.08817 (2022) - 2021
- [j25]Marcos S. Lyra, António Curado, Bruno Damásio, Fernando Bação, Flávio L. Pinheiro:
Characterization of the firm-firm public procurement co-bidding network from the State of Ceará (Brazil) municipalities. Appl. Netw. Sci. 6(1): 77 (2021) - [j24]Georgios Douzas, Rene Rauch, Fernando Bação:
G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE. Expert Syst. Appl. 183: 115230 (2021) - [j23]Vitória Albuquerque, Miguel Sales Dias, Fernando Bação:
Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review. ISPRS Int. J. Geo Inf. 10(2): 62 (2021) - [j22]João Fonseca, Georgios Douzas, Fernando Bação:
Improving Imbalanced Land Cover Classification with K-Means SMOTE: Detecting and Oversampling Distinctive Minority Spectral Signatures. Inf. 12(7): 266 (2021) - [j21]João Fonseca, Georgios Douzas, Fernando Bação:
Increasing the Effectiveness of Active Learning: Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification. Remote. Sens. 13(13): 2619 (2021) - [c11]Marcos S. Lyra, Flávio L. Pinheiro, Fernando Bação:
Public Procurement Fraud Detection: A Review Using Network Analysis. COMPLEX NETWORKS 2021: 116-129 - [i3]Marcos S. Lyra, António Curado, Bruno Damásio, Fernando Bação, Flávio L. Pinheiro:
Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities. CoRR abs/2104.08547 (2021) - 2020
- [j20]Fernando Bação, Maribel Yasmina Santos, Martin Behnisch:
Spatial Data Science. ISPRS Int. J. Geo Inf. 9(7): 428 (2020) - [c10]Yuyang Zhao, Fernando Bação:
A comprehensive model integrating UTAUT and ECM with espoused cultural values for investigating users' continuance intention of using mobile payment. ICBDT 2020: 155-161
2010 – 2019
- 2019
- [j19]Manuela Aparicio, Tiago Oliveira, Fernando Bação, Marco Painho:
Gamification: A key determinant of massive open online course (MOOC) success. Inf. Manag. 56(1): 39-54 (2019) - [j18]Georgios Douzas, Fernando Bação:
Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE. Inf. Sci. 501: 118-135 (2019) - [j17]Georgios Douzas, Fernando Bação, João Fonseca, Manvel Khudinyan:
Imbalanced Learning in Land Cover Classification: Improving Minority Classes' Prediction Accuracy Using the Geometric SMOTE Algorithm. Remote. Sens. 11(24): 3040 (2019) - 2018
- [j16]Georgios Douzas, Fernando Bação:
Effective data generation for imbalanced learning using conditional generative adversarial networks. Expert Syst. Appl. 91: 464-471 (2018) - [j15]Georgios Douzas, Fernando Bação, Felix Last:
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE. Inf. Sci. 465: 1-20 (2018) - [j14]Frederico Cruz-Jesus, Tiago Oliveira, Fernando Bação:
The Global Digital Divide: Evidence and Drivers. J. Glob. Inf. Manag. 26(2): 1-26 (2018) - 2017
- [j13]Manuela Aparicio, Fernando Bação, Tiago Oliveira:
Grit in the path to e-learning success. Comput. Hum. Behav. 66: 388-399 (2017) - [j12]Georgios Douzas, Fernando Bação:
Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning. Expert Syst. Appl. 82: 40-52 (2017) - [j11]Frederico Cruz-Jesus, Tiago Oliveira, Fernando Bação, Zahir Irani:
Assessing the pattern between economic and digital development of countries. Inf. Syst. Frontiers 19(4): 835-854 (2017) - [j10]Joel Silva, Fernando Bação, Mario Caetano:
Specific Land Cover Class Mapping by Semi-Supervised Weighted Support Vector Machines. Remote. Sens. 9(2): 181 (2017) - [i2]Georgios Douzas, Fernando Bação:
Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE. CoRR abs/1709.07377 (2017) - [i1]Felix Last, Georgios Douzas, Fernando Bação:
Oversampling for Imbalanced Learning Based on K-Means and SMOTE. CoRR abs/1711.00837 (2017) - 2016
- [j9]Frederico Cruz-Jesus, María Rosalía Vicente, Fernando Bação, Tiago Oliveira:
The education-related digital divide: An analysis for the EU-28. Comput. Hum. Behav. 56: 72-82 (2016) - [j8]Manuela Aparicio, Fernando Bação, Tiago Oliveira:
An e-Learning Theoretical Framework. J. Educ. Technol. Soc. 19(1): 292-307 (2016) - [j7]Manuela Aparicio, Fernando Bação, Tiago Oliveira:
Cultural impacts on e-learning systems' success. Internet High. Educ. 31: 58-70 (2016) - 2015
- [e1]Fernando Bação, Maribel Yasmina Santos, Marco Painho:
AGILE 2015 - Geographic Information Science as an Enabler of Smarter Cities and Communities, Lisboa, Portugal, 9-12 June 2015. Lecture Notes in Geoinformation and Cartography, Springer 2015, ISBN 978-3-319-16786-2 [contents] - 2014
- [c9]Manuela Aparicio, Fernando Bação, Tiago Oliveira:
MOOC's business models: turning black swans into gray swans. ISDOC 2014: 45-49 - 2013
- [c8]Manuela Aparicio, Fernando Bação:
e-learning concept trends. ISDOC 2013: 81-86 - 2012
- [j6]Frederico Cruz-Jesus, Tiago Oliveira, Fernando Bação:
Digital divide across the European Union. Inf. Manag. 49(6): 278-291 (2012) - [j5]Roberto Henriques, Fernando Bação, Victor Sousa Lobo:
Exploratory geospatial data analysis using the GeoSOM suite. Comput. Environ. Urban Syst. 36(3): 218-232 (2012) - 2011
- [c7]Frederico Cruz-Jesus, Tiago Oliveira, Fernando Bação:
Exploratory Factor Analysis for the Digital Divide: Evidence for the European Union - 27. CENTERIS (1) 2011: 44-53
2000 – 2009
- 2009
- [j4]Roberto Henriques, Fernando Bação, Victor Sousa Lobo:
Carto-SOM: cartogram creation using self-organizing maps. Int. J. Geogr. Inf. Sci. 23(4): 483-511 (2009) - [c6]Roberto Henriques, Fernando Bação, Victor Sousa Lobo:
GeoSOM Suite: A Tool for Spatial Clustering. ICCSA (1) 2009: 453-466 - [c5]Roberto Henriques, Fernando Bação, Victor Sousa Lobo:
Cartograms, Self-Organizing Maps, and Magnification Control. WSOM 2009: 89-97 - 2008
- [c4]Thales Sehn Körting, Leila Maria Garcia Fonseca, Fernando Bação:
Expectation-Maximization x Self-Organizing Maps for Image Classification. SITIS 2008: 359-365 - 2007
- [c3]Victor Sousa Lobo, Fernando Bação, Miguel Loureiro:
Density Based Fuzzy Membership Functions in the Context of Geocomputation. International Conference on Computational Science (2) 2007: 542-549 - 2005
- [j3]Fernando Bação, Victor Sousa Lobo, Marco Painho:
The self-organizing map, the Geo-SOM, and relevant variants for geosciences. Comput. Geosci. 31(2): 155-163 (2005) - [j2]Marco Painho, Athanasios V. Vasilakos, Fernando Bação, Witold Pedrycz:
Exploring spatial data through computational intelligence: a joint perspective. Soft Comput. 9(5): 326-331 (2005) - [j1]Fernando Bação, Victor Sousa Lobo, Marco Painho:
Applying genetic algorithms to zone design. Soft Comput. 9(5): 341-348 (2005) - [c2]Fernando Bação, Victor Sousa Lobo, Marco Painho:
Self-organizing Maps as Substitutes for K-Means Clustering. International Conference on Computational Science (3) 2005: 476-483 - 2004
- [c1]Fernando Bação, Victor Sousa Lobo, Marco Painho:
Geo-Self-OrganizingMap (Geo-SOM) for Building and Exploring Homogeneous Regions. GIScience 2004: 22-37
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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