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2020 – today
- 2024
[c51]Ping Liu, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro, Mustafa Bilgic:
How Does Empowering Users with Greater System Control Affect News Filter Bubbles? ICWSM 2024: 943-957- [c50]Karthik Shivaram, Mustafa Bilgic, Matthew A. Shapiro, Aron Culotta:
Characterizing Online Criticism of Partisan News Media Using Weakly Supervised Learning. ICWSM 2024: 1436-1450 - [c49]Karthik Shivaram, Mustafa Bilgic, Matthew A. Shapiro, Aron Culotta:
Forecasting Political News Engagement on Social Media. ICWSM 2024: 1451-1462 - 2023
- [j9]Xintian Li
, Aron Culotta:
Domain Adaptation for Learning from Label Proportions Using Domain-Adversarial Neural Network. SN Comput. Sci. 4(5): 615 (2023) - [c48]Xintian Li, Aron Culotta:
Forecasting COVID-19 Vaccination Rates using Social Media Data. WWW (Companion Volume) 2023: 1020-1029 - [c47]Linsen Li, Aron Culotta, Douglas N. Harris, Nicholas Mattei:
Online Reviews Are Leading Indicators of Changes in K-12 School Attributes. WWW 2023: 2808-2818 - 2022
- [j8]Xuan Song, Haoran Zhang, Rajendra Akerkar, Huawei Huang, Song Guo, Lei Zhong, Yusheng Ji, Andreas L. Opdahl, Hemant Purohit, André Skupin, Akshay Pottathil, Aron Culotta:
Big Data and Emergency Management: Concepts, Methodologies, and Applications. IEEE Trans. Big Data 8(2): 397-419 (2022) - [c46]Siva K. Balasubramanian, Mustafa Bilgic, Aron Culotta, Libby Hemphill, Anita Nikolich, Matthew A. Shapiro:
Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls. ICWSM 2022: 2-11 - [c45]Xintian Li, Samiul Hasan, Aron Culotta:
Identifying Hurricane Evacuation Intent on Twitter. ICWSM 2022: 618-627 - [c44]Karthik Shivaram, Ping Liu, Matthew A. Shapiro, Mustafa Bilgic, Aron Culotta:
Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation. RecSys 2022: 220-228 - [i15]Siva K. Balasubramanian, Mustafa Bilgic, Aron Culotta, Libby Hemphill, Anita Nikolich, Matthew A. Shapiro:
Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls. CoRR abs/2204.01790 (2022) - 2021
- [c43]Zhao Wang, Aron Culotta:
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals. AAAI 2021: 14024-14031 - [c42]Ping Liu, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro, Mustafa Bilgic:
The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms. WWW 2021: 3791-3801 - [i14]Zhao Wang, Kai Shu, Aron Culotta:
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach. CoRR abs/2110.00911 (2021) - 2020
- [c41]Zhao Wang, Aron Culotta:
Identifying spurious correlations for robust text classification. EMNLP (Findings) 2020: 3431-3440 - [c40]Bahar Radfar, Karthik Shivaram, Aron Culotta:
Characterizing Variation in Toxic Language by Social Context. ICWSM 2020: 959-963 - [e3]Munmun De Choudhury, Rumi Chunara, Aron Culotta, Brooke Foucault Welles:
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, ICWSM 2020, Held Virtually, Original Venue: Atlanta, Georgia, USA, June 8-11, 2020. AAAI Press 2020, ISBN 978-1-57735-823-7 [contents] - [i13]Zhao Wang, Aron Culotta:
Identifying Spurious Correlations for Robust Text Classification. CoRR abs/2010.02458 (2020) - [i12]Zhao Wang, Jennifer Cutler, Aron Culotta:
Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging. CoRR abs/2010.02466 (2020) - [i11]Zhao Wang, Aron Culotta:
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals. CoRR abs/2012.10040 (2020)
2010 – 2019
- 2019
- [c39]Zhao Wang, Aron Culotta:
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation. AAAI 2019: 7233-7240 - [c38]Virgile Landeiro, Aron Culotta:
Collecting representative social media samples from a search engine by adaptive query generation. ASONAM 2019: 204-207 - [c37]Tung Nguyen, Li Zhang, Aron Culotta:
Estimating tie strength in follower networks to measure brand perceptions. ASONAM 2019: 779-786 - [c36]Zhao Wang, Anna Sapienza, Aron Culotta, Emilio Ferrara:
Personality and Behavior in Role-based Online Games. CoG 2019: 1-8 - [c35]Virgile Landeiro, Tuan Tran, Aron Culotta:
Discovering and Controlling for Latent Confounds in Text Classification Using Adversarial Domain Adaptation. SDM 2019: 298-305 - [i10]Zhao Wang, Anna Sapienza, Aron Culotta, Emilio Ferrara:
Personality and Behavior in Role-based Online Games. CoRR abs/1905.08418 (2019) - 2018
- [j7]Virgile Landeiro, Aron Culotta:
Robust Text Classification under Confounding Shift. J. Artif. Intell. Res. 63: 391-419 (2018) - [j6]Ehsan Mohammady Ardehaly, Aron Culotta:
Learning from noisy label proportions for classifying online social data. Soc. Netw. Anal. Min. 8(1): 2:1-2:18 (2018) - [c34]Ping Liu, Joshua Guberman, Libby Hemphill, Aron Culotta:
Forecasting the Presence and Intensity of Hostility on Instagram Using Linguistic and Social Features. ICWSM 2018: 181-190 - [i9]Ping Liu, Joshua Guberman, Libby Hemphill, Aron Culotta:
Forecasting the presence and intensity of hostility on Instagram using linguistic and social features. CoRR abs/1804.06759 (2018) - [i8]Zhao Wang, Aron Culotta:
When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation. CoRR abs/1811.04890 (2018) - 2017
- [c33]Ehsan Mohammady Ardehaly, Aron Culotta:
Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions. ICDM 2017: 733-738 - [c32]Ehsan Mohammady Ardehaly, Aron Culotta:
Co-Training for Demographic Classification Using Deep Learning from Label Proportions. ICDM Workshops 2017: 1017-1024 - [c31]Zhao Wang, Jennifer Cutler, Aron Culotta:
Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging. ICDM Workshops 2017: 1050-1057 - [c30]Shreesh Kumara Bhat, Aron Culotta:
Identifying Leading Indicators of Product Recalls from Online Reviews Using Positive Unlabeled Learning and Domain Adaptation. ICWSM 2017: 480-483 - [c29]Virgile Landeiro, Aron Culotta:
Controlling for Unobserved Confounds in Classification Using Correlational Constraints. ICWSM 2017: 580-583 - [c28]Nigel Collier, Nut Limsopatham, Aron Culotta, Mike Conway, Ingemar J. Cox, Vasileios Lampos:
WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017. WSDM 2017: 825-826 - [i7]Shreesh Kumara Bhat, Aron Culotta:
Identifying leading indicators of product recalls from online reviews using positive unlabeled learning and domain adaptation. CoRR abs/1703.00518 (2017) - [i6]Virgile Landeiro, Aron Culotta:
Controlling for Unobserved Confounds in Classification Using Correlational Constraints. CoRR abs/1703.01671 (2017) - [i5]Ehsan Mohammady Ardehaly, Aron Culotta:
Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions. CoRR abs/1708.08000 (2017) - [i4]Ehsan Mohammady Ardehaly, Aron Culotta:
Co-training for Demographic Classification Using Deep Learning from Label Proportions. CoRR abs/1709.04108 (2017) - [i3]Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Aron Culotta:
Deceptiveness of internet data for disease surveillance. CoRR abs/1711.06241 (2017) - 2016
- [j5]Aron Culotta, Nirmal Ravi Kumar, Jennifer Cutler:
Predicting Twitter User Demographics using Distant Supervision from Website Traffic Data. J. Artif. Intell. Res. 55: 389-408 (2016) - [j4]Aron Culotta, Jennifer Cutler:
Mining Brand Perceptions from Twitter Social Networks. Mark. Sci. 35(3): 343-362 (2016) - [j3]Aron Culotta:
Training a text classifier with a single word using Twitter Lists and domain adaptation. Soc. Netw. Anal. Min. 6(1): 8:1-8:15 (2016) - [c27]Virgile Landeiro, Aron Culotta:
Robust Text Classification in the Presence of Confounding Bias. AAAI 2016: 186-193 - [c26]Aron Culotta:
Towards Identifying Leading Indicators of Smoking Cessation Attempts from Social Media. ICHI 2016: 7-9 - [c25]Ehsan Mohammady Ardehaly, Aron Culotta, Vivek Sundararaman, Alwar Narayanan:
Cold-Start Recommendations for Audio News Stories Using Matrix Factorization. IJCAI 2016: 1375-1381 - [c24]Ehsan Mohammady Ardehaly, Aron Culotta:
Domain Adaptation for Learning from Label Proportions Using Self-Training. IJCAI 2016: 3670-3676 - 2015
- [c23]Aron Culotta, Nirmal Ravi Kumar, Jennifer Cutler:
Predicting the Demographics of Twitter Users from Website Traffic Data. AAAI 2015: 72-78 - [c22]Virgile Landeiro Dos Reis, Aron Culotta:
Using Matched Samples to Estimate the Effects of Exercise on Mental Health via Twitter. AAAI 2015: 182-188 - [c21]Joshua Seeger, Aron Culotta, Jason Keller, Patrick van Kessel, Michael Jugovich:
Data deidentification in medical transcriptions using regular expressions and machine learning. IEEE BigData 2015: 1322-1323 - [c20]Ehsan Mohammady Ardehaly, Aron Culotta:
Inferring latent attributes of Twitter users with label regularization. HLT-NAACL 2015: 185-195 - 2014
- [c19]Maria Eugenia Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic:
Anytime Active Learning. AAAI 2014: 2048-2054 - [c18]Aron Culotta:
Estimating county health statistics with twitter. CHI 2014: 1335-1344 - [c17]Reid Priedhorsky, Aron Culotta, Sara Y. Del Valle:
Inferring the origin locations of tweets with quantitative confidence. CSCW 2014: 1523-1536 - [c16]Zahra Ashktorab, Christopher Brown, Manojit Nandi, Aron Culotta:
Tweedr: Mining twitter to inform disaster response. ISCRAM 2014 - 2013
- [j2]Aron Culotta:
Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages. Lang. Resour. Evaluation 47(1): 217-238 (2013) - [c15]Maria Eugenia Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic:
Towards anytime active learning: interrupting experts to reduce annotation costs. IDEA@KDD 2013: 87-94 - [i2]Reid Priedhorsky, Aron Culotta, Sara Y. Del Valle:
Inferring the Origin Locations of Tweets with Quantitative Confidence. CoRR abs/1305.3932 (2013) - 2011
- [c14]Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum:
SampleRank: Training Factor Graphs with Atomic Gradients. ICML 2011: 777-784 - 2010
- [c13]Aron Culotta:
Towards detecting influenza epidemics by analyzing Twitter messages. SOMA@KDD 2010: 115-122 - [c12]Aron Culotta, Andy Liu, Mark Cordover, Bennett Borden, Sam Strickland:
IT-Discovery at TREC 2010 Legal. TREC 2010 - [e2]John D. Lafferty, Christopher K. I. Williams, John Shawe-Taylor, Richard S. Zemel, Aron Culotta:
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada. Curran Associates, Inc. 2010 [contents] - [i1]Aron Culotta:
Detecting influenza outbreaks by analyzing Twitter messages. CoRR abs/1007.4748 (2010)
2000 – 2009
- 2009
- [c11]Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum:
An Entity Based Model for Coreference Resolution. SDM 2009: 365-376 - [e1]Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta:
Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. Curran Associates, Inc. 2009, ISBN 9781615679119 [contents] - 2007
- [c10]Aron Culotta, Michael L. Wick, Robert J. Hall, Matthew Marzilli, Andrew McCallum:
Canonicalization of database records using adaptive similarity measures. KDD 2007: 201-209 - [c9]Aron Culotta, Michael L. Wick, Andrew McCallum:
First-Order Probabilistic Models for Coreference Resolution. HLT-NAACL 2007: 81-88 - 2006
- [j1]Aron Culotta, Trausti T. Kristjansson, Andrew McCallum, Paul A. Viola:
Corrective feedback and persistent learning for information extraction. Artif. Intell. 170(14-15): 1101-1122 (2006) - [c8]Michael L. Wick, Aron Culotta, Andrew McCallum:
Learning Field Compatibilities to Extract Database Records from Unstructured Text. EMNLP 2006: 603-611 - [c7]Aron Culotta, Andrew McCallum, Jonathan Betz:
Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text. HLT-NAACL 2006 - 2005
- [c6]Aron Culotta, Andrew McCallum:
Reducing Labeling Effort for Structured Prediction Tasks. AAAI 2005: 746-751 - [c5]Aron Culotta, Andrew McCallum:
Joint deduplication of multiple record types in relational data. CIKM 2005: 257-258 - 2004
- [c4]Trausti T. Kristjansson, Aron Culotta, Paul A. Viola, Andrew McCallum:
Interactive Information Extraction with Constrained Conditional Random Fields. AAAI 2004: 412-418 - [c3]Aron Culotta, Jeffrey S. Sorensen:
Dependency Tree Kernels for Relation Extraction. ACL 2004: 423-429 - [c2]Aron Culotta, Ron Bekkerman, Andrew McCallum:
Extracting social networks and contact information from email and the Web. CEAS 2004 - [c1]Aron Culotta, Andrew McCallum:
Confidence Estimation for Information Extraction. HLT-NAACL (Short Papers) 2004
Coauthor Index
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