| Predicting hotel booking cancellations to decrease uncertainty and increase revenue N Antonio, A De Almeida, L Nunes Tourism & Management Studies 13 (2), 25-39, 2017 | 46 | 2017 |
| Big data in hotel revenue management: Exploring cancellation drivers to gain insights into booking cancellation behavior N Antonio, A de Almeida, L Nunes Cornell Hospitality Quarterly 60 (4), 298-319, 2019 | 39 | 2019 |
| Hotel online reviews: Different languages, different opinions N Antonio, A de Almeida, L Nunes, F Batista, R Ribeiro Information Technology & Tourism 18 (1), 157-185, 2018 | 34 | 2018 |
| Hotel booking demand datasets N Antonio, A de Almeida, L Nunes Data in brief 22, 41-49, 2019 | 33 | 2019 |
| The influence of geographic and psychic distance on online hotel ratings P Phillips, N Antonio, A de Almeida, L Nunes Journal of Travel Research 59 (4), 722-741, 2020 | 23 | 2020 |
| Hotel online reviews: creating a multi-source aggregated index N Antonio, AM de Almeida, L Nunes, F Batista, R Ribeiro International Journal of Contemporary Hospitality Management, 2018 | 22 | 2018 |
| Predicting hotel bookings cancellation with a machine learning classification model N Antonio, A de Almeida, L Nunes 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 20 | 2017 |
| Using data science to predict hotel booking cancellations N António, A de Almeida, LMM Nunes Handbook of research on holistic optimization techniques in the hospitality …, 2017 | 16 | 2017 |
| Short-term electricity load forecasting with machine learning E Aguilar Madrid, N Antonio Information 12 (2), 50, 2021 | 15 | 2021 |
| An automated machine learning based decision support system to predict hotel booking cancellations N Antonio, A de Almeida, L Nunes An automated machine learning based decision support system to predict hotel …, 2019 | 11 | 2019 |
| COVID 19: The catalyst for digital transformation in the hospitality industry? N Antonio, P Rita Tourism & Management Studies 17 (2), 41-46, 2021 | 8 | 2021 |
| Predictive models of hotel booking cancellation: a semi-automated analysis of the literature N António Tourism & Management Studies 15 (1), 7-21, 2019 | 8 | 2019 |
| Exploring user-generated content for improving destination knowledge: The case of two world heritage cities N Antonio, MB Correia, FP Ribeiro Sustainability 12 (22), 9654, 2020 | 7 | 2020 |
| March 2020: 31 days that will reshape tourism N António, P Rita Current Issues in Tourism 24 (19), 2768-2783, 2021 | 6 | 2021 |
| COVID-19: Worldwide profiles during the first 250 days N António, P Rita, P Saraiva Applied Sciences (Switzerland) 11 (8), 1-21, 2021 | 5 | 2021 |
| The use of design science research in the development of a performance management system for hospitality N António, F Serra Dos Algarves: A Multidisciplinary e-Journal 26 (2), 23-46, 2015 | 5 | 2015 |
| Promotion of inclusive tourism by national destination management organizations P Rita, N António Worldwide Hospitality and Tourism Themes, 2020 | 3 | 2020 |
| Software as a Service: An effective platform to deliver holistic Hotel Performance Management systems N Antonio, F Serra Tourism & Management Studies 14 (1), 25-35, 2018 | 3 | 2018 |
| Real-Time Delphi Questionnaire Development at LimeSurvey: A Design Science Research Approach CM Afonso, M Serra, CM Almeida, N António 2021 16th Iberian Conference on Information Systems and Technologies (CISTI …, 2021 | 2 | 2021 |
| Uma abordagem metodológica para a análise comparativa de comentários de viagens online de duas cidades património UNESCO FP Ribeiro, MB Correia, N António Anais da III Conferência Internacional Turismo e História, 55-56, 2019 | 2 | 2019 |
Ana de AlmeidaISCTE Instituto Universitário de LisboaVerified email at iscte-iul.pt
