| A multi-source dataset of urban life in the city of Milan and the Province of Trentino G Barlacchi, M De Nadai, R Larcher, A Casella, C Chitic, G Torrisi, ... Scientific data 2 (1), 1-15, 2015 | 528 | 2015 |
| A survey on deep learning for human mobility M Luca, G Barlacchi, B Lepri, L Pappalardo ACM Computing Surveys (CSUR) 55 (1), 1-44, 2021 | 292* | 2021 |
| A deep gravity model for mobility flows generation F Simini, G Barlacchi, M Luca, L Pappalardo Nature communications 12 (1), 6576, 2021 | 198 | 2021 |
| Scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data. arXiv L Pappalardo, F Simini, G Barlacchi, R Pellungrini arXiv preprint arXiv:1907.07062, 2019 | 176 | 2019 |
| Modelling Taxi Drivers' Behaviour for the Next Destination Prediction A Rossi, G Barlacchi, M Bianchini, B Lepri IEEE Transactions on Intelligent Transportation Systems, 2019 | 120 | 2019 |
| Ernesta: A sentence simplification tool for children’s stories in italian G Barlacchi, S Tonelli Computational Linguistics and Intelligent Text Processing: 14th …, 2013 | 77 | 2013 |
| Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors G Barlacchi, C Perentis, A Mehrotra, M Musolesi, B Lepri EPJ data science 6, 1-15, 2017 | 61 | 2017 |
| A multi-scale approach to data-driven mass migration analysis. MN Ahmed, G Barlacchi, S Braghin, F Calabrese, M Ferretti, VPA Lonij, ... SoGood@ ECML-PKDD, 17, 2016 | 37 | 2016 |
| Leveraging mobile phone data for migration flows M Luca, G Barlacchi, N Oliver, B Lepri arXiv preprint arXiv:2105.14956, 2021 | 24 | 2021 |
| Human mobility from theory to practice: Data, models and applications L Pappalardo, G Barlacchi, R Pellungrini, F Simini Companion Proceedings of The 2019 World Wide Web Conference, 1311-1312, 2019 | 22 | 2019 |
| Neural ranking with weak supervision for open-domain question answering: A survey X Shen, S Vakulenko, M Del Tredici, G Barlacchi, B Byrne, A de Gispert Findings of the Association for Computational Linguistics: EACL 2023, 1736-1750, 2023 | 21* | 2023 |
| Question rewriting for open-domain conversational qa: Best practices and limitations M Del Tredici, G Barlacchi, X Shen, W Cheng, A de Gispert Proceedings of the 30th ACM International Conference on Information …, 2021 | 21 | 2021 |
| Product answer generation from heterogeneous sources: A new benchmark and best practices X Shen, G Barlacchi, M Del Tredici, W Cheng, B Byrne, A de Gispert Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5), 99-110, 2022 | 18 | 2022 |
| Distributional neural networks for automatic resolution of crossword puzzles A Severyn, M Nicosia, G Barlacchi, A Moschitti Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 18 | 2015 |
| Learning to rank answer candidates for automatic resolution of crossword puzzles G Barlacchi, M Nicosia, A Moschitti Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014 | 18 | 2014 |
| semipqa: A study on product question answering over semi-structured data X Shen, G Barlacchi, M Del Tredici, W Cheng, A de Gispert Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5), 111-120, 2022 | 13 | 2022 |
| SACRY: Syntax-based automatic crossword puzzle resolution system G Barlacchi, M Nicosia, A Moschitti Proceedings of 53nd Annual Meeting of the Association for Computational …, 2015 | 13* | 2015 |
| Land use classification with point of interests and structural patterns G Barlacchi, B Lepri, A Moschitti IEEE Transactions on Knowledge and Data Engineering 33 (9), 3258-3269, 2020 | 12 | 2020 |
| Weak nodes detection in urban transport systems: Planning for resilience in Singapore M Ferretti, G Barlacchi, L Pappalardo, L Lucchini, B Lepri 2018 IEEE 5th international conference on data science and advanced …, 2018 | 12 | 2018 |
| Structural Semantic Models for Automatic Analysis of Land Use G Barlacchi, A Rossi, B Lepri, A Moschitti ECML/PKDD 2017, 2017 | 12* | 2017 |
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