Anna Sapienza
Anna Sapienza
DTU - Technical University of Denmark
Verified email at - Homepage
Cited by
Cited by
Early warnings of cyber threats in online discussions
A Sapienza, A Bessi, S Damodaran, P Shakarian, K Lerman, E Ferrara
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 667-674, 2017
Discover: Mining online chatter for emerging cyber threats
A Sapienza, SK Ernala, A Bessi, K Lerman, E Ferrara
Companion Proceedings of the The Web Conference 2018, 983-990, 2018
Non-negative tensor factorization for human behavioral pattern mining in online games
A Sapienza, A Bessi, E Ferrara
Information 9 (3), 66, 2018
Individual performance in team-based online games
A Sapienza, Y Zeng, A Bessi, K Lerman, E Ferrara
Royal Society open science 5 (6), 180329, 2018
Detecting anomalies in time-varying networks using tensor decomposition
A Sapienza, A Panisson, J Wu, L Gauvin, C Cattuto
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 516-523, 2015
Estimating the outcome of spreading processes on networks with incomplete information: A dimensionality reduction approach
A Sapienza, A Barrat, C Cattuto, L Gauvin
Physical Review E 98 (1), 012317, 2018
Performance dynamics and success in online games
A Sapienza, H Peng, E Ferrara
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 902-909, 2017
Does Streaming Esports Affect Players’ Behavior and Performance?
A Matsui, A Sapienza, E Ferrara
Games and Culture 15 (1), 9-31, 2020
Recommending teammates with deep neural networks
P Goyal, A Sapienza, E Ferrara
Proceedings of the 29th on Hypertext and Social Media, 57-61, 2018
Rac signal adaptation controls neutrophil mobilization from the bone marrow
CC Campa, G Germena, E Ciraolo, F Copperi, A Sapienza, I Franco, ...
Science Signaling 9 (459), ra124-ra124, 2016
Anomaly detection in temporal graph data: An iterative tensor decomposition and masking approach
A Sapienza, A Panisson, JTK Wu, L Gauvin, C Cattuto
International Workshop on Advanced Analytics and Learning on Temporal Data …, 2015
Deep Neural Networks for Optimal Team Composition
A Sapienza, P Goyal, E Ferrara
Frontiers in Big Data 2, 14, 2019
Discovering patterns of online popularity from time series
M Ozer, A Sapienza, A Abeliuk, G Muric, E Ferrara
Expert Systems with Applications 151, 113337, 2020
Massive multi-agent data-driven simulations of the github ecosystem
J Blythe, J Bollenbacher, D Huang, PM Hui, R Krohn, D Pacheco, G Muric, ...
International Conference on Practical Applications of Agents and Multi-Agent …, 2019
Wearable proximity sensors for monitoring a mass casualty incident exercise: feasibility study
L Ozella, L Gauvin, L Carenzo, M Quaggiotto, PL Ingrassia, M Tizzoni, ...
Journal of medical internet research 21 (4), e12251, 2019
Extracting the multi-timescale activity patterns of online financial markets
T Kobayashi, A Sapienza, E Ferrara
Scientific Reports 8 (1), 11184, 2018
The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem
J Blythe, E Ferrara, D Huang, K Lerman, G Muric, A Sapienza, A Tregubov, ...
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
The Influence of Social Ties on Performance in Team-based Online Games
Y Zeng, A Sapienza, E Ferrara
IEEE Transactions on Games, 2019
Personality and Behavior in Role-based Online Games
Z Wang, A Sapienza, A Culotta, E Ferrara
2019 IEEE Conference on Games (CoG), 1-8, 2019
Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem
R Krohn, D Pacheco, G Muric, A Sapienza, A Tregubov, YY Ahn, ...
Advances in Practical Applications of Survivable Agents and Multi-Agent …, 2019
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