Publications

2021

  • Guimaraes, Anna, Erisa Terolli and Gerhard Weikum. "Comparing Health Forums: User Engagement, Salient Entities, Medical Detail". in Proceedings of THE 24TH ACM CONFERENCE ON COMPUTER-SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING, 2021.

  • De Stefani, Lorenzo, Erisa Terolli and Eli Upfal. "Tiered Sampling: An Efficient Method for Counting Sparse Motifs in Massive Graph Streams". In ACM Transactions on Knowledge Discovery from Data.

2020

  • Terolli, Erisa, Patrick Ernst and Gerhard Weikum. "Focused Query Expansion with Entity Cores for Patient-Centric Health Search", in Proceedings of the International Semantic Web Conference, 2020 [Best Paper Runner-up].

2019

  • Guimaraes, Anna, Oana Balalau, Erisa Terolli, and Gerhard Weikum. "Analyzing the Traits and Anomalies of Political Discussions on Reddit." In Proceedings of the International AAAI Conference on Web and Social Media, vol. 13, no. 01, pp. 205-213. 2019.

  • Chierichetti, Flavio, Ravi Kumar, Alessandro Panconesi, and Erisa Terolli. "On the Distortion of Locality Sensitive Hashing." SIAM Journal on Computing 48, no. 2 (2019): 350-372.

  • Ernst, Patrick, Erisa Terolli, and Gerhard Weikum. "LongLife: a Platform for Personalized Searchfor Health and Life Sciences." In 18th Semantic Web Conference, pp. 237-240. ceur-ws. org, 2019.

2018

  • Antenore, Marzia, Giovanna Leone, Alessandro Panconesi, and Erisa Terolli. "Together we buy, alone i quit: some experimental studies of online persuaders." In Proceedings of the 1st International Conference on Digital Tools & Uses Congress, pp. 1-4. 2018.

  • Antenore, Marzia, Alessandro Panconesi, and Erisa Terolli. "Songs of a Future Past—An Experimental Study of Online Persuaders." In Twelfth International AAAI Conference on Web and Social Media. 2018.

2017

  • De Stefani, Lorenzo, Erisa Terolli, and Eli Upfal. "Tiered sampling: An efficient method for approximate counting sparse motifs in massive graph streams." In 2017 IEEE International Conference on Big Data (Big Data), pp. 776-786. IEEE, 2017 [pdf].

  • Chierichetti, Flavio, Ravi Kumar, Alessandro Panconesi, and Erisa Terolli . The Distortion of Locality Sensitive Hashing. In ITCS ’17: Innovations in Theoretical Computer Science [pdf].

2016

  • Bressan, Marco, Stefano Leucci, Alessandro Panconesi, Prabhakar Raghavan, and Erisa Terolli. "The limits of popularity-based recommendations, and the role of social ties." In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 745-754. 2016 [pdf]

2014

  • Topal, Ali Osman, Oguz Altun, and Erisa Terolli. "Dynamic virtual bats algorithm (dvba) for minimization of supply chain cost with embedded risk." In 2014 European Modelling Symposium, pp. 58-64. IEEE, 2014..