Boccignone, G., D’Amelio, A., Ghezzi, O., Grossi, G., & Lanzarotti, R. (2023). An Evaluation of Non-Contact Photoplethysmography-Based Methods for Remote Respiratory Rate Estimation. Sensors, 23(7), 3387.
D’Amelio, A., Patania, S., Buršić, S., Cuculo, V., & Boccignone, G. (2023). Inferring Causal Factors of Core Affect Dynamics on Social Participation through the Lens of the Observer. Sensors, 23(6), 2885.
D’Amelio, A., Patania, S., Bursic, S., Cuculo, V., & Boccignone, G. (2023). Using Gaze for Behavioural Biometrics. Sensors, 23(3), 1262.
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Mortara, E. (2022). Pyvhr: A python framework for remote photoplethysmography. PeerJ Computer Science,8, e929.
D’Amelio,A., & Boccignone, G. (2021). Gazing at social interactions between foraging and decision theory. Frontiers in neurorobotics, 15, 31
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2020). An Open Framework for Remote-PPG Methods and their Assessment. IEEE Acces, 8, 216083-216103.
Boccignone, G., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2020). On Gaze Deployment to Audio- Visual Cues of Social Interactions. IEEE Access, 8, 161630-161654.
Bursic, S., Boccignone, G., Ferrara, A., D’Amelio, A., & Lanzarotti, R. (2020). Improving the Accuracy of Automatic Facial Expression Recognition in Speaking Subjects with Deep Learning. Applied Sciences, 10(11), 4002.
Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Lin, J. (2019). Robust single-sample face recognition by sparsity-driven sub-dictionary learning using deep features. Sensors, 19(1), 146.
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2018). Deep construction of an affective latent space via multimodal enactment. IEEE Transactions on Cognitive and Developmental Systems, 10(4), 865-880.
Patania, S., Boccignone, G., Bursic, S., D'Amelio, A., & Lanzarotti, R.. Deep graph neural network for video-based facial painexpression assessment. International Symposium on Applied Computing (SAC 2022)
Boccignone, G., Bursic, S., Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Patania, S. (2022). DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos. In International Conference on Image Analysis and Processing (pp. 186-195). Springer, Cham.
Patania, S., D’Amelio, A., & Lanzarotti, R. (2022). Exploring Fusion Strategies in Deep Multimodal Affect Prediction. In International Conference on Image Analysis and Processing (pp. 730-741). Springer, Cham.
Bursic, S., D'Amelio, A., Granato, M., Grossi, G., & Lanzarotti, R. (2021, January). A Quantitative EvaluationFramework of Video De-Identification Methods. In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 6089-6095). IEEE.
Boccignone, G., Cuculo, V. & D’Amelio, A. "How to Look Next? A Data-Driven Approach for Scanpath Prediction." International Symposium on Formal Methods. Springer, Cham, 2019.
D’Amelio, A., Cuculo, V., & Bursic, S. (2019, October). Gender Recognition in the Wild with Small Sample Size - A Dictionary Learning Approach. In International Symposium on Formal Methods (pp. 162-169). Springer, Cham.
Bursic, S., Cuculo, V., & D’Amelio, A. (2019, October). Anomaly detection from log files using unsupervised deep learning. In International Symposium on Formal Methods (pp. 200-207). Springer, Cham.
Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2019, September). Worldly Eyes on Video: Learnt vs. Reactive Deployment of Attention to Dynamic Stimuli. In International Conference on Image Analysis and Processing (pp. 128-138). Springer, Cham.
Boccignone, G., Cuculo, V., D'Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 128-138). Springer, Cham.
Cuculo, V., & D’Amelio, A. (2019, August). OpenFACS: an open source FACS-based 3D face animation system. In International Conference on Image and Graphics (pp. 232-242). Springer, Cham.
Boccignone, G., Cuculo, V., D'Amelio, A., & Lanzarotti, R. (2019, May). Social traits from stochastic paths in the core affect space. In Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 314-319).
Bodini, M., D’Amelio, A., Grossi, G., Lanzarotti, R., & Lin, J. (2018, September). Single sample face recognition by sparse recovery of deep-learned lda features. In International Conference on Advanced Concepts for Intelligent Vision Systems (pp. 297-308). Springer, Cham.
Cuculo, V., D’Amelio, A., Lanzarotti, R., & Boccignone, G. (2018, June). Personality gaze patterns unveiled via automatic relevance determination. In Federation of International Conferences on Software Technologies: Applications and Foundations (pp. 171-184). Springer, Cham.
Boccignone, G., Cuculo, V., D'Amelio, A., Grossi, G., & Lanzarotti, R. (2018). Give ear to my face: modelling multimodal attention to social interactions. In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 0-0).
D’Amelio, A., Cuculo, V., Grossi, G., Lanzarotti, R., & Lin, J. (2017, September). A note on modelling a somatic motor space for affective facial expressions. In International Conference on Image Analysis and Processing (pp. 181- 188). Springer, Cham.
Ceruti, C., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2017, September). Taking the hidden route: deep mapping of affect via 3D neural networks. In International Conference on Image Analysis and Processing (pp. 189-196). Springer, Cham.
D'Amelio, A. (2021). A stochastic forging model of attentive eye guidance on dynamic stimuli.