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Emotions and Perceived Productivity of Software Developers at the Workplace., , , and . IEEE Trans. Software Eng., 48 (9): 3326-3341 (2022)A replication study on code comprehension and expertise using lightweight biometric sensors., , , , and . ICPC, page 311-322. IEEE / ACM, (2019)A benchmark study on sentiment analysis for software engineering research., , and . MSR, page 364-375. ACM, (2018)The UNIBA System at the EVALITA 2018 Italian Emoji Prediction Task., and . EVALITA@CLiC-it, volume 2263 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Using Voice and Biofeedback to Predict User Engagement during Requirements Interviews., , , , , and . CoRR, (2021)Towards recognizing the emotions of developers using biometrics: the design of a field study., , , , and . SEmotion@ICSE, page 13-16. IEEE / ACM, (2019)Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting?, , , , and . MSR, page 158-168. ACM, (2020)The Way it Makes you Feel Predicting Users' Engagement during Interviews with Biofeedback and Supervised Learning., , , , , and . RE, page 32-43. IEEE, (2020)Sensing developers' emotions: the design of a replicated experiment., , , and . SEmotion@ICSE, page 51-54. ACM, (2018)Recognizing developers' emotions while programming., , , and . ICSE, page 666-677. ACM, (2020)