Artikel mit Open-Access-Mandaten - Aron CulottaWeitere Informationen
Nicht verfügbar: 1
Domain Adaptation for Learning from Label Proportions Using Domain-Adversarial Neural Network
X Li, A Culotta
SN Computer Science 4 (5), 615, 2023
Mandate: US National Science Foundation
Verfügbar: 32
Mining brand perceptions from twitter social networks
A Culotta, J Cutler
Marketing science 35 (3), 343-362, 2016
Mandate: US National Science Foundation
Inferring the origin locations of tweets with quantitative confidence
R Priedhorsky, A Culotta, SY Del Valle
Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014
Mandate: US National Institutes of Health
Forecasting the presence and intensity of hostility on Instagram using linguistic and social features
P Liu, J Guberman, L Hemphill, A Culotta
Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018
Mandate: US National Science Foundation
Robustness to spurious correlations in text classification via automatically generated counterfactuals
Z Wang, A Culotta
Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14024 …, 2021
Mandate: US National Science Foundation
Predicting Twitter user demographics using distant supervision from website traffic data
A Culotta, NK Ravi, J Cutler
Journal of Artificial Intelligence Research 55, 389-408, 2016
Mandate: US National Science Foundation
Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media
KC Roy, S Hasan, A Culotta, N Eluru
Transportation research part C: emerging technologies 131, 103339, 2021
Mandate: US National Science Foundation
Co-training for demographic classification using deep learning from label proportions
EM Ardehaly, A Culotta
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1017-1024, 2017
Mandate: US National Science Foundation
The interaction between political typology and filter bubbles in news recommendation algorithms
P Liu, K Shivaram, A Culotta, MA Shapiro, M Bilgic
Proceedings of the Web Conference 2021, 3791-3801, 2021
Mandate: US National Science Foundation
Robust text classification in the presence of confounding bias
V Landeiro, A Culotta
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Mandate: US National Science Foundation
Big data and emergency management: concepts, methodologies, and applications
X Song, H Zhang, R Akerkar, H Huang, S Guo, L Zhong, Y Ji, AL Opdahl, ...
IEEE Transactions on Big Data 8 (2), 397-419, 2020
Mandate: Research Council of Norway
# Polar Scores: Measuring partisanship using social media content
L Hemphill, A Culotta, M Heston
Journal of Information Technology & Politics 13 (4), 365-377, 2016
Mandate: US National Science Foundation
Identifying leading indicators of product recalls from online reviews using positive unlabeled learning and domain adaptation
S Bhat, A Culotta
Proceedings of the international aaai conference on web and social media 11 …, 2017
Mandate: US National Science Foundation
Robust text classification under confounding shift
V Landeiro, A Culotta
Journal of Artificial Intelligence Research 63, 391-419, 2018
Mandate: US National Science Foundation
Domain adaptation for learning from label proportions using self-training.
EM Ardehaly, A Culotta
IJCAI, 3670-3676, 2016
Mandate: US National Science Foundation
Mining the demographics of political sentiment from twitter using learning from label proportions
EM Ardehaly, A Culotta
2017 IEEE international conference on data mining (ICDM), 733-738, 2017
Mandate: US National Science Foundation
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
Mandate: US Department of Defense
When do words matter? Understanding the impact of lexical choice on audience perception using individual treatment effect estimation
Z Wang, A Culotta
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7233-7240, 2019
Mandate: US National Science Foundation
Learning from noisy label proportions for classifying online social data
EM Ardehaly, A Culotta
Social Network Analysis and Mining 8 (1), 2, 2018
Mandate: US National Science Foundation
Reducing cross-topic political homogenization in content-based news recommendation
K Shivaram, P Liu, M Shapiro, M Bilgic, A Culotta
Proceedings of the 16th ACM conference on Recommender Systems, 220-228, 2022
Mandate: US National Science Foundation
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