activity
20142020
collaborators

5 papers

cs.AI2020

Evaluating approval-based multiwinner voting in terms of robustness to noise

Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas +1

Approval-based multiwinner voting rules have recently received much attention in the Computational Social Choice literature. Such rules aggregate approval ballots and determine a w…

cs.GT2016

Optimizing positional scoring rules for rank aggregation

Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas +1

Nowadays, several crowdsourcing projects exploit social choice methods for computing an aggregate ranking of alternatives given individual rankings provided by workers. Motivated b…

cs.AI2016

How effective can simple ordinal peer grading be?

Ioannis Caragiannis, George A. Krimpas, Alexandros A. Voudouris

Ordinal peer grading has been proposed as a simple and scalable solution for computing reliable information about student performance in massive open online courses. The idea is to…

cs.GT2015

Efficiency and complexity of price competition among single-product vendors

Ioannis Caragiannis, Xenophon Chatzigeorgiou, Panagiotis Kanellopoulos +3

Motivated by recent progress on pricing in the AI literature, we study marketplaces that contain multiple vendors offering identical or similar products and unit-demand buyers with…

cs.AI2014

Aggregating partial rankings with applications to peer grading in massive online open courses

Ioannis Caragiannis, George A. Krimpas, Alexandros A. Voudouris

We investigate the potential of using ordinal peer grading for the evaluation of students in massive online open courses (MOOCs). According to such grading schemes, each student re…