activity
20002026
most citedQuizz: Targeted crowdsourcing with a billion (potential) users

154 citations · 214 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2026

Learning to Pay Attention: Unsupervised Modeling of Attentive and Inattentive Respondents in Survey Data

Ilias Triantafyllopoulos, Panos Ipeirotis

The integrity of behavioral and social-science surveys depends on detecting inattentive respondents who provide random or low-effort answers. Traditional safeguards, such as attent…

cs.CY2026

Scalable and Personalized Oral Assessments Using Voice AI

Panos Ipeirotis, Konstantinos Rizakos

Written work no longer certifies that a student understands it: a polished analysis now says little about who did the thinking. Oral examinations restore that evidentiary link, but…

stat.AP2021

Theoretical Foundations of δ-margin Majority Voting

Margarita Boyarskaya, Panos Ipeirotis

In high-stakes ML applications such as fraud detection, medical diagnostics, and content moderation, practitioners rely on consensus-based approaches to control prediction quality.…

cs.DL2021

On the Predictability of Utilizing Rank Percentile to Evaluate Scientific Impact

Sen Tian, Panos Ipeirotis

Bibliographic metrics are commonly utilized for evaluation purposes within academia, often in conjunction with other metrics. These metrics vary widely across fields and change wit…

cs.HC2020★ 1 cited

What do crowd workers think about creative work?

Jonas Oppenlaender, Aku Visuri, Kristy Milland +2

Crowdsourcing platforms are a powerful and convenient means for recruiting participants in online studies and collecting data from the crowd. As information work is being more and…

cs.HC2020★ 36 cited

Creativity on Paid Crowdsourcing Platforms

Jonas Oppenlaender, Kristy Milland, Aku Visuri +2

General-purpose crowdsourcing platforms are increasingly being harnessed for creative work. The platforms' potential for creative work is clearly identified, but the workers' persp…