Nome e cognome Francesca Mangili

Funzione Dipartimento tecnologie innovative, Ricercatore senior

Email francesca.mangili@supsi.ch

Ufficio Polo universitario Lugano, Campus Est, Viganello
Polo universitario Lugano, Campus Est, Via la Santa 1, 6962 Lugano-Viganello

Telefono interno +41586666515

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Articolo di un giornale scientifico 10 Elementi

Cellina, F., Simão, J., Mangili, F.& Vermes, N. (2022) Sustainable mobility persuasion via smartphone apps: Lessons from a Swiss case study on how to design point-based rewarding systems. » in dettaglio Ravasi, D., Mangili, F., Huber, D., Cannata, M., Strigaro, D.& Flacio, E. (2022) effects of microclimatic winter conditions in urban areas on the risk of establishment for Aedes albopictus, The. Scientific Reports, vol. 12. » in dettaglio Ravasi, D., Mangili, F., Huber, D., Azzimonti, L., Engeler, L., Vermes, N., Del Rio, G., Guidi, V., Tonolla, M.& Flacio, E. (2022) Risk-based mapping tools for surveillance and control of the invasive mosquito Aedes albopictus in Switzerland. International Journal of Environmental Research and Public Health, vol. 19 pp.3220-3220. » in dettaglio Berjano, P., Langella, F., Ventriglia, L., Compagnone, D., Barletta, P., Huber, D., Mangili, F., Licandro, G., Galbusera, F., Cina, A., Bassani, T., Lamartina, C., Scaramuzzo, L., Bassani, R., Brayda-Bruno, M., Villafañe, J., Monti, L.& Azzimonti, L. (2021) Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach, The. Journal of Personalized Medicine, vol. 11 (12) pp.1377-1377. » in dettaglio Cellina, F., Bucher, D., Mangili, F., Simão, J., Rudel, R.& Raubal, M. (2019) Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt, A. Sustainability, vol. 11 (9) pp.2674-2674. » in dettaglio Bucher, D., Mangili, F., Cellina, F., Bonesana, C., Jonietz, D.& Raubal, M. (2019) From location tracking to personalized eco-feedback: A framework for geographic information collection, processing and visualization to promote sustainable mobility behaviors. Travel Behaviour and Society, vol. 14 pp.43-56. » in dettaglio Cruder, C., Falla, D., Mangili, F., Azzimonti, L., Araújo, L., Williamon, A.& Barbero, M. (2018) Profiling the Location and Extent of Musicians' Pain Using Digital Pain Drawings.. Pain Practice, vol. 18 (1) pp.53-66. » in dettaglio Cruder, C., Falla, D., Mangili, F., Azzimonti, L., Araújo, L., Williamon, A.& Barbero, M. (2017) Profiling the Location and Extent of Musicians’ Pain Using Digital Pain Drawings. Pain Practice, vol. 18 (1) pp.53-66. » in dettaglio Corani, G., Benavoli, A., Demšar, J., Mangili, F.& Zaffalon, M. (2017) Statistical comparison of classifiers through Bayesian hierarchical modelling. Machine Learning. » in dettaglio Benavoli, A., Corani, G.& Mangili, F. (2016) Should we really use post-hoc tests based on mean-ranks?. Journal of Machine Learning Research, vol. 17 (5) pp.1-10. » in dettaglio

Articolo in documento di una conferenza 15 Elementi

Cellina, F., Simão, J., Mangili, F., Vermes, N.& Granato, P. (2020) Sustainable mobility persuasion via smartphone apps: Exploiting external extrinsic motivational factors. In Proceedings of TRA2020, the 8th Transport Research Arena, pp.136-137. » in dettaglio Cellina, F., Simão, J., Mangili, F., Vermes, N.& Granato, P. (2018) Outcomes of a smart city living lab prompting low-carbon mobility patterns by a mobile app. » in dettaglio Vermes, N., Mangili, F., Cellina, F.& Simão, J. (2018) Accurate transport mode detection in Smartphone-based mobility tracking for sustainable mobility. In Proceedings of FTAL 2018 Conference - Industrial Applied Data Science, pp.54-55. » in dettaglio Bucher, D., Mangili, F., Bonesana, C., Jonietz, D., Cellina, F.& Raubal, M. (2017) Extracting Eco-Feedback from Movement Trajectories. » in dettaglio Bucher, D., Mangili, F., Bonesana, C., Cellina, F., Jonietz, D.& Raubal, M. (2017) Extracting eco-feedback information fromautomatic activity tracking to promote energy-efficient individualmobility behavior. In Computer Science Research and Development - Special Issue. » in dettaglio Mangili, F., Bonesana, C., Antonucci, A., Zaffalon, M., Rubegni, E.& Addimando, L. (2016) Adaptive Testing by Bayesian Networks with Application to Language Assessment.. In Abstract Book. » in dettaglio Addimando, L., Rubegni, E., Mangili, F., Antonucci, A., D'Alessio, G.& Hardie, J. (2016) Adaptive systems for foreign languages learning: towards a new tool in Canton Ticino (Switzerland).. In Abstract Book. » in dettaglio Bucher, D., Cellina, F., Mangili, F., Bonesana, C., Raubal, M., Rizzoli, A., Jonietz, D.& Rudel, R. (2016) Challenges and Results from Deploying the GoEco! App. » in dettaglio Mangili, F., Bonesana, C., Antonucci, A., Zaffalon, M., Rubegni, E.& Addimando, L. (2016) Adaptive Testing by Bayesian Networks with Application to Language Assessment.. » in dettaglio Addimando, L., Rubegni, E., Mangili, F., Antonucci, A., D'Alessio, G.& Hardie, J. (2016) Adaptive Systems for foreign languages learning: a new tool in Canton Ticino (Switzerland). » in dettaglio Mangili, F., Bonesana, C., Antonucci, A., Zaffalon, M., Rubegni, E.& Addimando, L. (2016) Adaptive testing by Bayesian networks with application to language assessment. In Proceedings, pp.471-472. » in dettaglio Bucher, D., Cellina, F., Mangili, F., Raubal, M., Rudel, R., Rizzoli, A.& Elabed, O. (2016) Exploiting Fitness Apps for Sustainable Mobility – Challenges Deploying the GoEco! App. » in dettaglio Corani, G., Benavoli, A., Mangili, F.& Zaffalon, M. (2015) Bayesian hypothesis testing in machine learning. In Proc. ECML PKDD 2015 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), pp.199-202. » in dettaglio Benavoli, A., Corani, G., Mangili, F.& Zaffalon, M. (2015) Bayesian nonparametric procedure for comparing algorithms, A. In Proceedings of the 32th International Conference on Machine Learning (ICML 2015), pp.1264-1272. » in dettaglio Mangili, F.& Benavoli, A. (2013) New Prior Near-ignorance Models on the Simplex., pp.1-9. » in dettaglio

Presentazione ad una conferenza 1 Elemento

Mangili, F., Antonucci, A., Poulopoulou, M., Werlen, E.& Bergamin, P.Machine Learning for Real-Time Analysis of Reader Attention by Facial Expression and Eye Tracking Data.. , ndustrial Applied Data Science, 2018, Lugano. » in dettaglio

Report 2 Elementi

Bracci, A., Soldini, E., Lisi, A., Mangili, F., Bonesana, C.& Kahlmeier, S. (2021) mental health of workers: the role of job quality and physical activity, The. SUPSI. » in dettaglio Corani, G., Benavoli, A., Demšar, J., Mangili, F.& Zaffalon, M. (2016) Statistical comparison of classifiers through Bayesian hierarchical modelling. IDSIA. » in dettaglio

Progetti di cui è responsabile

Assessment of human emotions during reading experiments - Analyses of face-reader, eye-tracker and physiological data for emotion recognition » in dettaglio Adaptive systems for foreign languages teaching » in dettaglio

Progetti di cui è membro

Assessing the development of computational thinking skills through an intelligent tutoring system - an exploratory study in the cantons of St. Gallen, Vaud and Ticino » in dettaglio The mental health of workers: the role of job quality and physical activity » in dettaglio