Fernando Bação

• Vaz, E., Bação, F., Damásio, B., Haynes, M., & Penfound, E. (2021). Machine learning for analysis of wealth in cities: A spatial-empirical examination of wealth in Toronto. Habitat International, 108, 1-9. [102319]. Available here.
• Zhao, Y., & Bacao, F. (2021). How does the pandemic facilitate mobile payment? : An investigation on users’ perspective under the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(3), 1-22. [1016]. Available here.
• Bação, F., Santos, M. Y., & Behnisch, M. (2020). Spatial Data Science. [Editorial]. ISPRS International Journal of Geo-Information, 9(7), 1-5. [428]. Available here.
• Bação, F., Santos, M. Y., & Behnisch, M. (Eds.) (2020). Special Issue “Spatial Data Science”. ISPRS International Journal of Geo-Information, 9(7). Available here.
• Zhao, Y., & Bacao, F. (2020). What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? International Journal of Hospitality Management, 91, 1-12. [102683]. Available here.
• Aparicio, M., Oliveira, T., Bação, F., & Painho, M. (2019). Gamification: a key determinant of massive open online course (MOOC) success. Information and Management, 56(1), 39-54. [advanced online publication on 20 june 2018]. DOI: 10.1016/j.im.2018.06.003
• Douzas, G., & Bacao, F. (2019). Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE. Information Sciences, 501, 118-135. Available here.
• Douzas, G., Bacao, F., Fonseca, J., & Khudinyan, M. (2019). Imbalanced learning in land cover classification: Improving minority classes’ prediction accuracy using the geometric SMOTE algorithm. Remote Sensing, 11(24), [3040]. Available here.
• Bação, F. J. F. L., Henriques, R., & Antunes, J. (2017). Contribution Towards Smart Cities: Exploring Block Level Census Data for the Characterization of Change in Lisbon. In M. Behnisch, & G. Meinel (Eds.), Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies (pp. 59-73). [Chapter 4] (Geotechnologies and the Environment; Vol. 19). Springer. Available here.
• Cruz-Jesus, F., Oliveira, T., & Bação, F. (2018). The global digital divide: evidence and drivers. Journal Of Global Information Management, 26(2), 1-26. DOI: 10.4018/JGIM.2018040101
• Douzas, D.; Bação, F. & Last, F. (2018). Improving Imbalanced Learn-ing Through a Heuristic Oversampling Method Based on K-Means and SMOTE. Information Sciences, 465, 1-20. doi: 10.1016/j.ins.2018.06.056
• Georgios Douzas & Fernando Bacao (2018). Effective data generation for imbalanced learning using Conditional Generative Adversarial Networks. Expert Systems with Applications 91, 464-471 (Advanced online publication on 13 September 2017). doi: available here.
• Aparício, M., Bacao, F. & Oliveira, T. (2017). Grit in the path to e-learning success. Computers In Human Behavior, 66, 388-399. DOI: 10.1016/j.chb.2016.10.009
• Cruz-Jesus, F., Oliveira, T., Bação, F., & Irani, Z. (2017). Assessing the pattern between economic and digital development of countries. 19(4), 835–854. DOI: 10.1007/s10796-016-9634-1
• Georgios Douzas & Fernando Bacao (2017). Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning. Expert Systems with Applications, 82 (1), 40-52. https://doi.org/10.1016/j.eswa.2017.03.073
• Joel Silva, Fernando Bacao, Maguette Dieng, Giles M. Foody & Mario Caetano (2017). Improving specific class mapping from remotely sensed data by cost-sensitive learning. International Journal of Remote Sensing, 38(11), 3294-3316. Available here.
• Silva, J., Bacao, F., & Caetano, M. (2017). Specific land cover class mapping by semi-supervised weighted support vector machines. Remote Sensing, 9(2), [181]. DOI: 10.3390/rs9020181
• Aparicio, M., Bacao, F., & Oliveira, T. (2016). An e-Learning Theoretical Framework. Educational Technology & Society, 19(1), 292-307.
• Aparicio, M., Bacao, F., & Oliveira, T. (2016). Cultural impacts on e-learning systems’ success. Internet and Higher Education, 31, 58-70. doi: 10.1016/j.iheduc.2016.06.003
• Cruz-Jesus, F., Vicente, María R., Bacao, F., & Oliveira, T. (2016). The education-related digital divide: An analysis for the EU-28. Computers in Human Behavior, 56, 72-82. doi: available here.
• Costa, H., Carrao, H., Bacao, F., & Caetano, M. (2014). Combining per-pixel and object-based classifications for mapping land cover over large areas. International Journal of Remote Sensing, 35(2), 738-753. doi: 10.1080/01431161.2013.873151.
• Cruz-Jesus, F., Oliveira, T., & Bacao, F. (2014). Exploring the Pattern between Education Attendance and Digital Development of Countries. Procedia Technology, 16(0), 452-458. doi: available here.
• Cruz-Jesus, F., Oliveira, T., & Bacao, F. (2012). Digital divide across the European Union. Information & Management, 49(6), 278-291. doi: 10.1016/j.im.2012.09.003
• Henriques, R., Bacao, F., & Lobo, V. (2012). Exploratory geospatial data analysis using the GeoSOM suite. Computers Environment and Urban Systems, 36(3), 218-232. doi: 10.1016/j.compenvurbsys.2011.11.003
• Bacao, F. (2011). Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis. Online Information Review, 35(4), 685-686. doi: 10.1108/14684521111162025
• Bacao, F. (2010). Integrating Geographic Information Systems into Library Services: A Guide for Academic Libraries. Library Hi Tech, 28(4), 719-721. doi: 10.1108/07378831011096349
• Bacao, F. (2010). Website Visibility: The Theory and Practice and Improving Rankings. Online Information Review, 34(5), 817-819. doi: 10.1108/14684521011084663
• Moreira, F., Catry, F. X., Rego, F., & Bacao, F. (2010). Size-dependent pattern of wildfire ignitions in Portugal: when do ignitions turn into big fires? Landscape Ecology, 25(9), 1405-1417. doi: 10.1007/s10980-010-9491-0
• Catry, F. X., Rego, F. C., Bacao, F., & Moreira, F. (2009). Modeling and mapping wildfire ignition risk in Portugal. International Journal of Wildland Fire, 18(8), 921-931. doi: 10.1071/wf07123
• Henriques, R., Bacao, F., & Lobo, V. (2009). Carto-SOM: cartogram creation using self-organizing maps. International Journal of Geographical Information Science, 23(4), 483-511.
• Koomen, E., Rietveld, P., & Bacao, F. (2009). The third dimension in urban geography: the urban-volume approach. Environment and Planning B-Planing & Design, 36(6), 1008-1025.
• Bacao, F. (2008). Data Mining and Knowledge Discovery Technologies. Online Information Review, 32(6), 866-867. doi: 10.1108/14684520810923980

Book Section:

• Bacao, F., Santos, M. Y., & Painho, M. (2015). Preface AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities and Communities: Springer.
• Pinto, A., Lobo, V., Bação, F., & Bacelar-Nicolau, H. (2013). Self-perception of Health Status and Socio-Economic Differences in the Use of Health Services. In J. Lita da Silva, F. Caeiro, I. Natário & C. A. Braumann (Eds.), Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications (pp. 355-362): Springer Berlin Heidelberg.
• Pinto, A., Rodrigues, T., Mendes, J., Bação, F., & Lobo, V. (2013). Medication and Polymedication in Portugal. In P. E. Oliveira, M. da Graça Temido, C. Henriques & M. Vichi (Eds.), Recent Developments in Modeling and Applications in Statistics (pp. 59-68): Springer Berlin Heidelberg.
• Henriques, R., Lobo, V., & Bação, F. (2012). Spatial Clustering Using Hierarchical SOM. In M. Johnsson (Ed.), Applications of Self-Organizing Maps: InTech.
• Cruz-Jesus, F., Oliveira, T., & Bacao, F. (2011). Exploratory Factor Analysis for the Digital Divide: Evidence for the European Union – 27 In M. M. Cruz-Cunha, J. Varajão, P. Powell & R. Martinho (Eds.), ENTERprise Information Systems (Vol. 219, pp. 44-53): Springer Berlin Heidelberg.
• Henriques, R., Bação, F., & Lobo, V. (2009). Cartograms, Self-Organizing Maps, and Magnification Control. Paper presented at the Advances in Self-Organizing Maps 7th International Workshop, WSOM 2009, St. Augustine, USA.
• Henriques, R., Bacao, F., & Lobo, V. (2009). GeoSOM Suite: A Tool for Spatial Clustering. In O. Gervasi, D. Taniar, B. Murgante, A. Lagana, Y. Mun & M. L. Gavrilova (Eds.), Computational Science and Its Applications – Iccsa 2009, Pt I (Vol. 5592, pp. 453-466). Berlin: Springer-Verlag Berlin.
• Henriques, R., Bacao, F., & Lobo, V. (2009). UAV path planning based on event density detection. In S. Dragicevic, D. Roman & V. Tanasescu (Eds.), International Conference on Advanced Geographic Information Systems and Web Services: Geows 2009, Proceedings (pp. 112-116). Los Alamitos: IEEE Computer Soc.
• Bação, F., Lobo, V., & Painho, M. (2008). Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems Self-Organising Maps, Applications in Geographical Information Science. West Sussex: John Wiley & Sons.

• Bacao, F., Santos, M. Y., & Painho, M. (Eds.). (2015). AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities and Communities. Heidelberg: Springer.

• Zhao, Y., & Bacao, F. (2020). A comprehensive model integrating UTAUT and ECM with espoused cultural values for investigating users’ continuance intention of using mobile payment. In Proceedings of the 2020 3rd International Conference on Big Data Technologies, ICBDT 2020 (pp. 155-161). (ACM International Conference Proceeding Series). Association for Computing Machinery. Available here.
• Zhao, Y., & Bacao, F. (2020). Theoretical Development: Extending the Flow Theory with Variables from the UTAUT2 Model. In 2020 IEEE 6th International Conference on Computer and Communications (ICCC): December 11-14, 2020, Chengdu, China (pp. 2427-2431). Association for Computing Machinery. Available here.
• Aparicio, M., Bacao, F., & Oliveira, T. (2014). MOOC’s business models: turning black swans into gray swans. Paper presented at the Proceedings of the International Conference on Information Systems and Design of Communication, Lisbon, Portugal.
• Aparicio, M., Bacao, F., & Oliveira, T. (2014). Trends in the e-Learning Ecosystem: A Bibliometric Study. Paper presented at the Twentieth Americas Conference on Information Systems, Savannah.
• Aparicio, M., & Bacao, F. (2013). e-learning concept trends. Paper presented at the 2013 International Conference on Information Systems and Design of Communication, Lisboa, Portugal.
• Barata, D., Bação, F., & Lobo, V. (2011, 7-9 de Abril). Optimização de um Plano de Marketing Directo para o Sector da Banca. Paper presented at the JOCLAD’2011 – XVIII Jornadas de Classificação e Análise de Dados, Vila Real, Portugal.
• Cruz-Jezus, F., Oliveira, T., & Bacao, F. (2011, 19-21 Outubro). Divisão Digital na União Europeia. Paper presented at the CAPSI – Conferência da Associação Portuguesa de Sistemas de Informação, Lisboa.
• Pinto, A., Bação, F., & Lobo, V. (2011, 19-20 de Maio). Contabilização, ou não, da Pílula Contraceptiva nos Estudos de Polimedicação em Portugal. Paper presented at the EQS’2011 – VII Conferência Estatística e Qualidade na Saúde, Lisboa, Portugal.
• Pinto, A., Bação, F., & Lobo, V. (2011, 28 de Setembro-1 de Outubro). Visualização de dados multivariados: Radar plot versus Tabela-gráfico. Paper presented at the XIX Congresso Anual da Sociedade Portuguesa de Estatística, Nazaré, Portugal.
• Pinto, A., Rodrigues, T., Bação, F., & Lobo, V. (2011, 11-12 de Fevereiro). Polimedicação em Portugal – Dados do 4º Inquérito Nacional de Saúde. Paper presented at the 21as Jornadas de Clínica Geral – Medicina Familiar de Évora, Évora, Portugal.
• Pinto, A., Rodrigues, T., Bacelar-Nicolau, H., Bação, F., & Lobo, V. (2011, June 27-30). Visualization techniques of multidimensional health data. Paper presented at the URISA 2011 Conference on GIS in Public Health, Atlanta, USA.
• Henriques, R., Bacao, F., & Lobo, V. (2010, 10-16 February). Spatial Clustering with SOM and GeoSOM Case study of Lisbon’s Metropolitan Area. Paper presented at the Geoprocessing 2010 – Second International Conference on Advanced Geographic Information Systems, Applications, and Services, St Maarten, Netherlands Antilles.
• João, P., Lobo, V., & Bacao, F. (2010, 25-27 Março). Predictive model for criminality in Lisbon. Paper presented at the JOCLAD’2010 – XVII Jornadas de Classificação e Análise de Dados, ISCTE-IUL.
• Pinto, A., Lobo, V., Bação, F., Bacelar-Nicolau, H. (2010, Março). Breve abordagem aos sistemas de informação geográfica na saúde. JOCLAD’2010 – XVII Jornadas de Classificação e Análise de Dados, ISCTE-IUL.
• Pinto, A., Lobo, V., Bação, F., Bacelar-Nicolau, H. (2010, Outubro). O consumo de medicamentos e a polimedicação em Portugal. XVIII Congresso Anual da Sociedade Portuguesa de Estatística, S.Pedro do Sul.
• Costa, H., Carrão, H., Bação, F., & Caetano, M. (2009). Land cover classification in Portugal with multitemporal AWiFS images: a comparative study, Remote Sensing for a Changing Europe. Paper presented at the Proceedings of the 28th Symposium of the European Association of Remote Sensing Laboratories, Istanbul, Turkey.
• Neto, M. C., Lopes, C., Maia, J., & Bação, F. (2009). Business Intelligence in the Vineyard. Paper presented at the World Conference on Agricultural Information and IT, Tokyo, Japan.
• Pinto, A., Lobo, V., Bação, F., & Bacelar-Nicolau, H. (2009). A auto-percepção do estado de saúde e as diferenças sócio-económicas na utilização dos serviços de saúde, ao nível da NUTS II. Paper presented at the XVII Congresso da Sociedade Portuguesa de Estatística, Sesimbra, Portugal.
• Catry, F. X., Rego, F. C., Moreira, F., & Bacao, F. (2008). Characterizing and modelling the spatial patterns of wildfire ignitions in Portugal: fire initiation and resulting burned area. Paper presented at the Modelling, Monitoring and Management of Forest Fires, Southampton.
• Fincke, T., Lobo, V., & Bação, F. (2008). Visualizing self-organizing maps with GIS. Paper presented at the GI Days 2008, Munster.