| 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 | 116 | 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 | 86 | 2018 |
| Deep neural networks for optimal team composition A Sapienza, P Goyal, E Ferrara Frontiers in big Data 2, 14, 2019 | 66* | 2019 |
| Does streaming esports affect players’ behavior and performance? A Matsui, A Sapienza, E Ferrara Games and Culture 15 (1), 9-31, 2020 | 63 | 2020 |
| 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 | 61 | 2018 |
| Non-negative tensor factorization for human behavioral pattern mining in online games A Sapienza, A Bessi, E Ferrara Information 9 (3), 66, 2018 | 47 | 2018 |
| Recommending teammates with deep neural networks P Goyal, A Sapienza, E Ferrara Proceedings of the 29th on Hypertext and Social Media, 57-61, 2018 | 29 | 2018 |
| 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 | 26 | 2020 |
| 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 | 21 | 2017 |
| The influence of social ties on performance in team-based online games Y Zeng, A Sapienza, E Ferrara IEEE Transactions on Games 13 (4), 358-367, 2019 | 19 | 2019 |
| 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 | 19 | 2015 |
| 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 | 18 | 2019 |
| Massive multi-agent data-driven simulations of the github ecosystem J Blythe, J Bollenbacher, D Huang, PM Hui, R Krohn, D Pacheco, G Muric, ... Advances in Practical Applications of Survivable Agents and Multi-Agent …, 2019 | 18 | 2019 |
| 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 | 16 | 2016 |
| 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 | 15 | 2019 |
| 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, ... AAMAS, 1835-1837, 2019 | 14 | 2019 |
| 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 | 13 | 2018 |
| 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 | 12 | 2015 |
| Extracting the multi-timescale activity patterns of online financial markets T Kobayashi, A Sapienza, E Ferrara Scientific Reports 8 (1), 11184, 2018 | 7 | 2018 |
| Exposure to urban and rural contexts shapes smartphone usage behavior A Sapienza, M Lítlá, S Lehmann, L Alessandretti PNAS nexus 2 (11), pgad357, 2023 | 4 | 2023 |
Emilio FerraraProfessor of Computer Science at the University of Southern Californiausc.edu의 이메일 확인됨