| Fine-grained tourism prediction: Impact of social and environmental features A Khatibi, F Belém, APC da Silva, JM Almeida, MA Gonçalves Information Processing & Management 57 (2), 102057, 2020 | 33 | 2020 |
| Semantically-enhanced topic modeling F Viegas, W Luiz, C Gomes, A Khatibi, S Canuto, F Mourão, T Salles, ... Proceedings of the 27th ACM international conference on information and …, 2018 | 15 | 2018 |
| Constellation Queries over Big Data F Porto, A Khatibi, JR Nobre, ES Ogasawara, P Valduriez, DE Shasha Brazilian Symposium on Databases (SBBD) 1 (2018 SBC 33rd), 85-96, 2018 | 9 | 2018 |
| Improving tourism prediction models using climate and social media data: A fine-grained approach A Khatibi, F Belem, AP Couto da Silva, D Shasha, JM Almeida, ... 12th International AAAI Conference on Web and Social Media, ICWSM 2018, 636-639, 2017 | 7 | 2017 |
| FISETIO: A FIne-grained, Structured and Enriched Tourism Dataset for Indoor and Outdoor attractions A Khatibi, APC Belem, JM Almeida, MA Gonçalves Data in Brief, 104906, 2019 | 4 | 2019 |
| Pre-processing and indexing techniques for constellation queries in big data A Khatibi, F Porto, JG Rittmeyer, E Ogasawara, P Valduriez, D Shasha Big Data Analytics and Knowledge Discovery: 19th International Conference …, 2017 | 3 | 2017 |
| A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models A Khatibi, AP Couto da Silva, JM Almeida, MA Gonçalves Plos one 17 (12), e0278112, 2022 | 1 | 2022 |
| Fine-grained tourism demand prediction: challenges and novel solutions AHK Moghadam Universidade Federal de Minas Gerais, 2021 | | 2021 |
Marcos Andre GoncalvesComputer Science Professor, Universidade Federal de Minas Gerais, BrazilZweryfikowany adres z dcc.ufmg.br
