| Risk perception and media in shaping protective behaviors: insights from the early phase of COVID-19 Italian outbreak B Vai, S Cazzetta, D Ghiglino, L Parenti, G Saibene, M Toti, C Verga, ... Frontiers in psychology 11, 563426, 2020 | 77 | 2020 |
| Predicting differential diagnosis between bipolar and unipolar depression with multiple kernel learning on multimodal structural neuroimaging B Vai, L Parenti, I Bollettini, C Cara, C Verga, E Melloni, E Mazza, S Poletti, ... European Neuropsychopharmacology 34, 28-38, 2020 | 44 | 2020 |
| Human-likeness of feedback gestures affects decision processes and subjective trust L Parenti, AW Lukomski, D De Tommaso, M Belkaid, A Wykowska International Journal of Social Robotics 15 (8), 1419-1427, 2023 | 7 | 2023 |
| Exposure to robotic virtual agent affects adoption of intentional stance L Parenti, S Marchesi, M Belkaid, A Wykowska Proceedings of the 9th international conference on human-agent interaction …, 2021 | 7 | 2021 |
| Differences in social expectations about robot signals and human signals L Parenti, M Belkaid, A Wykowska Cognitive Science 47 (12), e13393, 2023 | 1 | 2023 |
| Theta synchronization as a neural marker of flexible (re-) use of socio-cognitive mechanisms for a new category of (artificial) interaction partners L Parenti, UP Navare, S Marchesi, C Roselli, A Wykowska Cortex 169, 249-258, 2023 | 1 | 2023 |
| Attributing intentionality to artificial agents: exposure versus interactive scenarios L Parenti, S Marchesi, M Belkaid, A Wykowska International Conference on Social Robotics, 347-356, 2022 | 1 | 2022 |
| Misleading robot signals in a classification task induce cognitive load as measured by theta synchronization between frontal and temporo-parietal brain regions A Abubshait, L Parenti, J Perez-Osorio, A Wykowska Frontiers in Neuroergonomics 3, 838136, 2022 | 1 | 2022 |
| Understanding how social signals affect decision-making: Current challenges and robot-based methodological solutions L Parenti OSF, 2021 | 1 | 2021 |
| P. 305 Inflammation and neuroimaging differentiate bipolar and unipolar depression: a multiple kernel learning approach L Parenti, F Colombo, I Bollettini, B Vai, S Poletti, F Benedetti European Neuropsychopharmacology 31, S49-S50, 2020 | | 2020 |
| Immunoassay quantification and neuroimaging data for differentiating bipolar and unipolar depression: support vector machine on kernels and elastic net approaches B Vai, L Parenti, S Cazzetta, M Mazza, I Bollettini, S Poletti, C Lorenzi, ... European Neuropsychopharmacology 40, 2020 | | 2020 |
| P. 061 Diffusion tensor imaging as a biomarker for the discrimination of bipolar and unipolar depression L Parenti, C Cara, I Bollettini, B Vai, S Poletti, F Benedetti order 79 (4), 293-302, 2019 | | 2019 |
| P. 651 Mood congruent helplessness associates with prefrontal Intrinsic connectivity in major depression C Cara, C Verga, MR Frezza, L Parenti, B Vai, S Poletti, F Benedetti European Neuropsychopharmacology 29, S441-S442, 2019 | | 2019 |
| P. 029 Classifying mood disorders using multiple kernel learning on multimodal neuroimaging data: translating biological data into a diagnostic tool for depression B Vai, L Parenti, C Cara, C Verga, I Bollettini, S Poletti, C Colombo, ... European Neuropsychopharmacology 29, S40-S41, 2019 | | 2019 |
