Afonso, F., Rita, P., & António, N. (2024)

Using Candidates’ Tweets to Predict an Election Outcome. Political Research Quarterly, 1-18. https://doi.org/10.1177/10659129241286827

Almeida, C. M., Afonso, C. M., Serra, M., & António, N. (2024)

The presence of Algarve wine producers on Facebook between pre-covid-19 and covid-19 periods. Tourism and Hospitality International Journal, 22(1), 27-62. https://revistas.rcaap.pt/thij/article/view/34312/24801

Belchior, L. M., António, N., & Fernandes, E. (2024)

Online newspaper subscriptions: using machine learning to reduce and understand customer churn. Journal of Media Business Studies, 21(4), 364-387. https://doi.org/10.1080/16522354.2024.2343638

Manteigas, C., & António, N. (2024)

Understanding and predicting lapses in mortgage life insurance using a machine learning approach. Expert Systems with Applications, Article 124753. https://doi.org/10.1016/j.eswa.2024.124753

Mentzingen, H., Antonio, N., & Lobo, V. (2024)

Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach. Artificial Intelligence and Law, 32(1), 201-230. https://doi.org/10.1007/s10506-023-09348-9

Mentzingen, H., António, N., Bação, F., & Cunha, M. (2024)

Textual similarity for legal precedents discovery: assessing the performance of machine learning techniques in an administrative court. International Journal of Information Management Data Insights, 4(2), 1-21. Article 100247. https://doi.org/10.1016/j.jjimei.2024.100247

Pias, A. D., Pereira-Macedo, J., Marreiros, A., António, N., & Rocha-Neves, J. (2024)

Advancing Vascular Surgery: The Role Of Artificial Intelligence And Machine Learning In Managing Carotid Stenosis. Portuguese journal of cardiac thoracic and vascular surgery, 31(3), 55-64. https://doi.org/10.48729/pjctvs.411

Vorobeva, D., Pinto, D. C., António, N., & Mattila, A. S. (2024)

The Augmentation Effect of Artificial Intelligence: Can AI Framing Shape Customer Acceptance of AI-based Services? Current Issues in Tourism, 27(10), 1551-1571. https://doi.org/10.1080/13683500.2023.2214353

Vorobeva, D., Pinto, D. C., González, H., & António, N. (2024)

Unveiling the Dark Side of Companies Self-Promotion of Artificial Intelligence [abstract]. In Proceedings of the European Marketing Academy (pp. 1-2). Article 119392 European Marketing Academy (EMAC). https://proceedings.emac-online.org/pdfs/A2024-119392.pdf

António, N., & Rita, P. (2023)

Twenty-two years of International Journal of Hospitality Management: A bibliometric analysis 2000–2021. International Journal of Hospitality Management, 114, 1-18. [103578]. https://doi.org/10.1016/j.ijhm.2023.103578

António, N., Correia, M. B., & Ribeiro, F. P. (2023)

Comprensión de los impactos y las motivaciones de las reseñas duplicadas en tripadvisor. [ Understanding the impacts and motivations of duplicate reviews on tripadvisor ]. Cuadernos de Turismo, 52, 219-238. https://doi.org/10.6018/turismo.593611

Costa, J., Serra, M., & António, N. (2023)

Enoturismo sustentável no Algarve: Um estudo sobre as perceções dos agentes económicos. Tourism and Hospitality International Journal, 21(1), 125-150. https://doi.org/10.57883/thij21(1)2023.32966

Dias, J. P. R., & António, N. (2023)

Predicting customer churn using Machine Learning: A case study in the software industry. Journal of Marketing Analytics. https://doi.org/10.1057/s41270-023-00269-9

Mentzingen, H., António, N., & Bação, F. (2023)

Automation of legal precedents retrieval: Findings from a literature review. International Journal of Intelligent Systems, 2023, 1-22. [6660983]. https://doi.org/10.21203/rs.3.rs-2292464/v1, https://doi.org/10.21203/rs.3.rs-2292464/v2, https://doi.org/10.1155/2023/6660983

Peixoto, A. R., Almeida, A. D., António, N., Batista, F., & Ribeiro, R. (2023)

Diachronic profile of startup companies through social media. Social Network Analysis and Mining, 13(1), 1-18. [52]. https://doi.org/10.1007/s13278-023-01055-2

Peixoto, A. R., Almeida, A. D., António, N., Batista, F., Ribeiro, R., & Cardoso, E. (2023)

Unlocking the power of Twitter communities for startups. Applied Network Science, 8, 1-21. [66]. https://doi.org/10.21203/rs.3.rs-3062630/v1, https://doi.org/10.1007/s41109-023-00593-0

Rita, P., António, N., & Afonso, A. P. (2023)

Social media discourse and voting decisions influence: sentiment analysis in tweets during an electoral period. Social Network Analysis and Mining, 13(1), 1-16. [46]. https://doi.org/10.1007/s13278-023-01048-1

Rita, P., António, N., & Neves, J. (2023)

The Impact of the COVID-19 Pandemic on the Tourism Sector in the Autonomous Region of Madeira. Sustainability, 15(16), 1-17. [12298]. https://doi.org/10.3390/su151612298

Almeida, C. M., Afonso, C. M., Serra, M., & António, N. (2023)

Analysis of Portugal´s Wine Certifying Entities Social Networks as Communication Channels. In C. M. Q. Ramos, C. M. R. Sousa, N. M. S. Matos, & R. I. Ashqar (Eds.), Measuring Consumer Behavior in Hospitality for Enhanced Decision Making (pp. 121-160). IGI Global.

Pinto, J. P. C., & António, N. (2023)

Minding the Gaps: Constraints and Opportunities for Digital Transformation in Portuguese SMEs. In 2023 18^th  Iberian Conference on Information Systems and Technologies, CISTI 2023 (pp. 1-7). (Iberian Conference on Information Systems and Technologies, CISTI; Vol. 2023-June). IEEE Computer Society Press. https://doi.org/10.23919/CISTI58278.2023.10211746

Antonio, N., Rita, P., & Saraiva, P. (2022)

Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs. Vaccines, 10(3), 1-19. [409]. https://doi.org/10.3390/vaccines10030409

Oliveira, A. S., Renda, A. I., Correia, M. B., & António, N. (2022)

Hotel customer segmentation and sentiment analysis through online reviews: An analysis of selected European markets [Segmentação de clientes hoteleiros e análise de sentimento através de avaliações online: uma análise de mercados europeus selecionados]. Tourism & Management Studies, 18(1), 29-40. https://doi.org/10.18089/tms.2022.180

Antonio, N., De Almeida, A., & Nunes, L. (2022)

Data Mining and Predictive Analytics for E-tourism. In Z. Xiang, M. Fuchs, U. Gretzel, & W. Höpken (Eds.), Handbook of e-Tourism (pp. 1-25). Springer, Cham. https://doi.org/10.1007/978-3-030-05324-6_29-1

Almeida, C. M., Afonso, C. M., Serra, M., & António, N. (2022)

Análise às redes sociais das comissões vitivinícolas portuguesas enquanto canais de comunicação. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 36). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Almeida, C. M., Afonso, C. M., Serra, M., & António, N. (2022)

The Algarve wine producers usage of Facebook between 2019 and 2022. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 36). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Jacinto, M. R. F., Pinto, E., Afonso, C. M., Serra, M., & António, N. (2022)

Nutritional adaptation of traditional recipes in the IT-AMGABAlgarve. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 114). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Serra, M., António, N., Henriques, C., & Afonso, C. M. (2022)

Promovendo a sustentabilidade através de um modelo de maridagens de gastronomia e vinhos do Algarve. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 188). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Silva, H., António, N., & Bacao, F. (2022)

A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. In G. Marreiros, B. Martins, A. Paiva, B. Ribeiro, & A. Sardinha (Eds.), Progress in Artificial Intelligence: 21^st  EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings (pp. 53-65). (Lecture Notes in Artificial Intelligence; Vol. 13566). Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_5

Silvestre, P., & António, N. (2022)

Predicting hotel bookings cancellation under pandemic times. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 194). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Aguilar Madrid, E., & Antonio, N. (2021)

Short-term electricity load forecasting with machine learning. Information (Switzerland), 12(2), 1-21. [50]. https://doi.org/10.3390/info12020050

António, N., & Rita, P. (2021)

COVID-19: The catalyst for digital transformation in the hospitality industry? Tourism & Management Studies, 17(2), 41-46. https://doi.org/10.18089/tms.2021.170204

António, N., Rita, P., & Saraiva, P. (2021)

COVID-19: Worldwide Profiles during the First 250 Days. Applied Sciences, 11(8), 1-21. [3400]. https://doi.org/10.3390/app11083400

Correia, M. B. (Guest ed.), António, N. (Guest ed.), & Ribeiro, F. P. (Guest ed.) (2021)

Special Issue "Online Reviews in Tourism and Hospitality: Different Methods and Applications". Information (Switzerland).

Sá, G., & António, N. (2021)

Mapping information systems maturity: the case of the Portuguese hospitality industry. Tourism & Management Studies, 17(4), 7-21. https://doi.org/10.18089/tms.2021.1704

Serra, M., Antonio, N., Henriques, C., & Afonso, C. M. (2021)

Promoting Sustainability through Regional Food and Wine Pairing. Sustainability, 13(24), 1-22. [13759]. https://doi.org/10.3390/su132413759

Vong, C., Rita, P., & António, N. (2021)

Health-related crises in tourism destination management: A systematic review. Sustainability (Switzerland), 13(24), 1-28. [13738]. https://doi.org/10.3390/su132413738

Afonso, C. M., Serra, M., Almeida, C. M., & Antonio, N. (2021)

Desenvolvimento de questionários de Delphi em Tempo Real no LimeSurvey: uma abordagem Design Science Research. In A. Rocha, R. Goncalves, F. G. Penalvo, & J. Martins (Eds.), Proceedings of CISTI 2021 - 16^th  Iberian Conference on Information Systems and Technologies (pp. 1-6). (Iberian Conference on Information Systems and Technologies, CISTI). IEEE Computer Society Press. https://doi.org/10.23919/CISTI52073.2021.9476554

Camacho P., de Almeida A., António N. (2021)

Correia, M. B., Ribeiro, F. P., & António, N. (2021)

Análisis de comentarios online de dos ciudades patrimonio de la UNESCO. In J. A. Marmolejo Martín, S. Moral Cuadra, & M. Á. Solano Sánchez (Eds.), Turismo: nuevas tendencias y desafíos ante un escenario post-covid: [Recoge los contenidos presentados a: Congreso Internacional de Turismo (1. 2021. Melilla).] (pp. 59-69). Dykinson. https://dialnet.unirioja.es/servlet/articulo?codigo=8599354

Perdigão, F., Correia, M. B., & António, N. (2021)

Tripadivisor reviews: Users' multiple posts may be tampering with your online reviews research results. In XIII International Tourism Congress, Reinventing tourism for upcoming challenges: Book of Abstracts (pp. 204-205). Centre for Tourism Research, Development and Innovation (CiTUR) .

António, N., & Rita, P. (2020)

March 2020: 31 days that will reshape tourism. Current Issues in Tourism. [Advanced online publication on 25 december, 2020]. https://doi.org/10.1080/13683500.2020.1863927

Antonio, N.; Correia, M.B.; Ribeiro, F.P. (2020)

Exploring User-Generated Content for Improving Destination Knowledge: The Case of Two World Heritage Cities. Sustainability, 12, 9654. Link: https://doi.org/10.3390/su12229654

Nuno Antonio , Ana de Almeida , Luís Nunes (2020)

A hotel’s customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015-2018). Data in Brief (Available online 24 November 2020, 1065832020). doi: https://doi.org/10.1016/j.dib.2020.106583

Rita, P., & António, N. (2020)

Promotion of inclusive tourism by national destination management organizations. Worldwide Hospitality and Tourism Themes. https://doi.org/10.1108/WHATT-07-2020-0068

Ribeiro, F. P., António, N., & Correia, M. B. (2020)

Uma abordagem metodológica para a análise comparativa de comentários de viagens on-line de duas cidades património mundial da UNESCO – Coimbra (Portugal) e Salamanca (Espanha). In C. H. Henriques, P. D. A. B. César, V. B. M. Herédia, & M. C. Moreira (Eds.), Turismo e História: Perspectivas sobre o Patrimônio da Humanidade no Espaço Ibero-Americano (pp. 335-362). EDUCS Ensino. https://www.ucs.br/educs/arquivo/ebook/turismo-e-historia-perspectivas-sobre-o-patrimonio-da-humanidade-no-espaco-ibero-americano/

António, N., Almeida, A. de, & Nunes, L. (2019)

Predictive models for hotel booking cancellation: a semi-automated analysis of the literature. Tourism & Management Studies, 15(1), 7-21. https://dx.doi.org/10.18089/tms.2019.15011

Antonio, N., de Almeida, A., & Nunes, L. (2019)

An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations. Data Science Journal, 18(1), 32. DOI: http://doi.org/10.5334/dsj-2019-032

Antonio, N., de Almeida, A., & Nunes, L. (2019)

Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior. Cornell Hospitality Quarterly, 60(4), 298–319. https://doi.org/10.1177/1938965519851466

Antonio, N.; Almeida,A. M. de & Nunes, L. (2018)

Hotel booking demand datasets. Data in Brief, 22(february), 41-49. DOI:10.1016/j.dib.2018.11.126

Phillips, P., Antonio, N., de Almeida, A., & Nunes, L. (2019)

The Influence of Geographic and Psychic Distance on Online Hotel Ratings. Journal of Travel Research. https://doi.org/10.1177/0047287519858400

Borralho, C. M., António, N., Serra, M. & Afonso, C. M. (2019)

Produtores de vinho do Algarve no

Ribeiro, F. P., Correia, M. B. & António, N. (2019)

Uma abordagem metodológica para a análise

Antonio, N.& Serra, F. (2018)

Software as a Service: an effective platform to deliver holistic Hotel Performance Management SystemsSoftware como um Serviço: uma plataforma eficaz para oferta de sistemas holísticos de gestão da performance hoteleira. Tourism & Management Studies, 14(Especial), 25-35. https://dx.doi.org/10.18089/tms.2018.14SI103

Antonio, N., de Almeida, A., Nunes, L. et al. (2018)

Hotel online reviews: different languages, different opinions. Information Technology & Tourism 18, pp. 157–185. https://doi.org/10.1007/s40558-018-0107-x

Antonio, N., de Almeida, A., Nunes, L., Batista, F. and Ribeiro, R. (2018)

Hotel online reviews: creating a multi-source aggregated index. International Journal of Contemporary Hospitality Management, 30(12), 3574-3591. https://doi.org/10.1108/IJCHM-05-2017-0302

António, N., de Almeida, A. & Nunes, L. (2018)

Predictive models for hotel booking cancellation: a

Antonio, N.; Almeida, A. de & Nunes, L. (2017)

Predicting Hotel Booking Cancellation to Decrease Uncertainty and Increase Revenue, 3(2):25-39.DOI:10.18089/tms.2017.13203

Antonio,N.; Almeida, A. M. de & Nunes, L. M. M. (2017)

Using Data Science to Predict Hotel Booking Cancellations. In P. Vasant & Kalaivanthan M. (Eds.), Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry,pp. 140-166. IGI-Global.ISBN: 9781522510543. DOI:10.4018/978-1-5225-1054-3.ch006

Antonio, N.; Almeida, A. de & Nunes, L. (2017)

Predicting Hotel Bookings Cancellation with a Machine Learning Classification Model. 16^th  IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, 2017, pp. 1049-1054.

António, N. & Serra, F. (2015)

The use of design science research in the development of a performance management system for hospitality. Dos Algarves: A Multidisciplinary e-Journal, 26(2): 23-46. DOI: 10.18089/DAMeJ.2015.26.2.2.

Antonio,N.; Serra,F.; Afonso, C. M. & Ribeiro, C. (2013)

Aplicação de um modelo de gestão de receitas: estudo de caso numa unidade hoteleira no Algarve. In C. Henriques, I. Monteiro, F. Serra, J. Santos & P. Águas (Eds.), Inovação e qualidade na hotelaria, pp. 173-191. (TMs Conferences Studies, 2013). Universidade do Algarve. ISBN: 978-989-8472-37-3