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daniela girardi
daniela girardi
Неизвестная организация
Подтвержден адрес электронной почты в домене esh-srl.cloud
Название
Процитировано
Процитировано
Год
A benchmark study on sentiment analysis for software engineering research
N Novielli, D Girardi, F Lanubile
Proceedings of the 15th International Conference on Mining Software …, 2018
1192018
Emotion detection using noninvasive low cost sensors
D Girardi, F Lanubile, N Novielli
2017 seventh international conference on affective computing and intelligent …, 2017
1112017
Can we use se-specific sentiment analysis tools in a cross-platform setting?
N Novielli, F Calefato, D Dongiovanni, D Girardi, F Lanubile
Proceedings of the 17th International Conference on Mining Software …, 2020
812020
Emotions and perceived productivity of software developers at the workplace
D Girardi, F Lanubile, N Novielli, A Serebrenik
IEEE Transactions on Software Engineering 48 (9), 3326-3341, 2021
762021
Recognizing developers' emotions while programming
D Girardi, N Novielli, D Fucci, F Lanubile
Proceedings of the ACM/IEEE 42nd international conference on software …, 2020
752020
A replication study on code comprehension and expertise using lightweight biometric sensors
D Fucci, D Girardi, N Novielli, L Quaranta, F Lanubile
2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC …, 2019
452019
A benchmark study on sentiment analysis for software engineering research. In 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)
N Novielli, D Girardi, F Lanubile
IEEE 16, 364-375, 2018
242018
Sensing developers' emotions: The design of a replicated experiment
D Girardi, F Lanubile, N Novielli, D Fucci
Proceedings of the 3rd International Workshop on Emotion Awareness in …, 2018
222018
Towards recognizing the emotions of developers using biometrics: The design of a field study
D Girardi, F Lanubile, N Novielli, L Quaranta, A Serebrenik
2019 IEEE/ACM 4th International Workshop on Emotion Awareness in Software …, 2019
172019
Using voice and biofeedback to predict user engagement during requirements interviews
A Ferrari, T Huichapa, P Spoletini, N Novielli, D Fucci, D Girardi
arXiv preprint arXiv:2104.02410, 2021
122021
The way it makes you feel predicting users’ engagement during interviews with biofeedback and supervised learning
D Girardi, A Ferrari, N Novielli, P Spoletini, D Fucci, T Huichapa
2020 IEEE 28th International Requirements Engineering Conference (RE), 32-43, 2020
82020
Using voice and biofeedback to predict user engagement during product feedback interviews
A Ferrari, T Huichapa, P Spoletini, N Novielli, D Fucci, D Girardi
ACM Transactions on Software Engineering and Methodology 33 (4), 1-36, 2024
22024
A Partial Replication of Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise
D Fucci, D Girardi, N Novielli, L Quaranta, F Lanubile
The Second ROSE Festival, 2019
2019
The UNIBA System at the EVALITA 2018 Italian Emoji Prediction Task
L Siciliani, D Girardi
EVALITA Evaluation of NLP and Speech Tools for Italian 12, 129, 2018
2018
PhD Program in Computer Science and Mathematics XXXIII cycle
D Girardi
SEmotion 2019
JO Johanssen, JP Bernius, D Girardi, F Lanubile, A Moro, L Quaranta, ...
Classificazione dei livelli di attivazione e valenza emotiva mediante sensori biometrici
F Lanubile, D Girardi
2020 IEEE 28th International Requirements Engineering Conference (RE)
F Dechesne, D Marcos, J Kramer, S Robertson, A Schlutter, A Vogelsang, ...
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