activity
20172026
most citedSentiment Polarity Detection for Software Development

170 citations · 966 across the 32 of their papers we have counts for

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Showing cs.HCShow all

6 papers · 1 filter

cs.HC2022★ 30 cited

Eliciting Best Practices for Collaboration with Computational Notebooks

Luigi Quaranta, Fabio Calefato, Filippo Lanubile

Despite the widespread adoption of computational notebooks, little is known about best practices for their usage in collaborative contexts. In this paper, we fill this gap by elici…

cs.HC2021★ 4 cited

An in-depth Analysis of Occasional and Recurring Collaborations in Online Music Co-creation

Fabio Calefato, Giuseppe Iaffaldano, Leonardo Trisolini +1

The success of online creative communities depends on the will of participants to create and derive content in a collaborative environment. Despite their growing popularity, the fa…

cs.HC2018★ 6 cited

Investigating Crowd Creativity in Online Music Communities

Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile +1

Crowd creativity is typically associated with peer-production communities focusing on artistic products like animations, video games, and music, but less frequently to Open Source…

cs.HC2017★ 10 cited

Collaboration Success Factors in an Online Music Community

Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile

Online communities have been able to develop large, open-source software (OSS) projects like Linux and Firefox throughout the successful collaborations carried out by their members…

cs.HC2017

Emotion Detection Using Noninvasive Low Cost Sensors

Daniela Girardi, Filippo Lanubile, Nicole Novielli

Emotion recognition from biometrics is relevant to a wide range of application domains, including healthcare. Existing approaches usually adopt multi-electrodes sensors that could…

cs.HC2017

EmoTxt: A Toolkit for Emotion Recognition from Text

Fabio Calefato, Filippo Lanubile, Nicole Novielli

We present EmoTxt, a toolkit for emotion recognition from text, trained and tested on a gold standard of about 9K question, answers, and comments from online interactions. We provi…