| Short-term electricity load forecasting with machine learning E Aguilar Madrid, N Antonio Information 12 (2), 50, 2021 | 134 | 2021 |
| 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 | 93 | 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 | 91 | 2019 |
| COVID 19: The catalyst for digital transformation in the hospitality industry? N Antonio, P Rita Tourism & Management Studies 17 (2), 41-46, 2021 | 83 | 2021 |
| Hotel booking demand datasets N Antonio, A de Almeida, L Nunes Data in brief 22, 41-49, 2019 | 77 | 2019 |
| Hotel online reviews: different languages, different opinions N Antonio, A de Almeida, L Nunes, F Batista, R Ribeiro Information Technology & Tourism 18, 157-185, 2018 | 60 | 2018 |
| 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 30 (12), 3574-3591, 2018 | 54 | 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 | 47 | 2017 |
| 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 | 46 | 2020 |
| Social media discourse and voting decisions influence: sentiment analysis in tweets during an electoral period P Rita, N António, AP Afonso Social Network Analysis and Mining 13 (1), 46, 2023 | 35 | 2023 |
| An automated machine learning based decision support system to predict hotel booking cancellations N Antonio, A de Almeida, L Nunes Data Science Journal 18, 32-32, 2019 | 28 | 2019 |
| The augmentation effect of artificial intelligence: can AI framing shape customer acceptance of AI-based services? D Vorobeva, D Costa Pinto, N António, AS Mattila Current Issues in Tourism 27 (10), 1551-1571, 2024 | 25 | 2024 |
| 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 | 25 | 2017 |
| Hotel customer segmentation and sentiment analysis through online reviews: An analysis of selected European markets GA de Oliveira Gosson, AI Renda, MB Correia, N Antonio Tourism & Management Studies 18 (1), 29-40, 2022 | 19 | 2022 |
| Promoting sustainability through regional food and wine pairing M Serra, N Antonio, C Henriques, CM Afonso Sustainability 13 (24), 13759, 2021 | 19 | 2021 |
| 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 | 19 | 2020 |
| Predictive models of hotel booking cancellation: a semi-automated analysis of the literature N António Tourism & Management Studies 15 (1), 7-21, 2019 | 15 | 2019 |
| COVID-19: Worldwide profiles during the first 250 days N António, P Rita, P Saraiva Applied Sciences (Switzerland) 11 (8), 1-21, 2021 | 13 | 2021 |
| Health-related crises in tourism destination management: A systematic review C Vong, P Rita, N António Sustainability 13 (24), 13738, 2021 | 12 | 2021 |
| March 2020: 31 days that will reshape tourism N António, P Rita Current Issues in Tourism 24 (19), 2768-2783, 2021 | 12 | 2021 |
Ana de AlmeidaISCTE Instituto Universitário de LisboaE-mail confirmado em iscte-iul.pt
