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ORCIDLisa Singh
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2020 – today
- 2024
[j18]Nathan Wycoff
, Lisa Singh, Ali Arab, Katharine M. Donato, Helge Marahrens:
The digital trail of Ukraine's 2022 refugee exodus. J. Comput. Soc. Sci. 7(2): 2147-2193 (2024)- [j17]Yaguang Liu, Lisa Singh:
Utilizing External Knowledge to Enhance Location Prediction for Twitter/X Users in Low Resource Settings. ACM Trans. Spatial Algorithms Syst. 10(3): 19:1-19:25 (2024) - [c66]Yanchen Wang, Lisa Singh:
It is Time to Develop an Auditing Framework to Promote Value Aware Chatbots. DATA 2024: 460-470 - [c65]Yijing Chen, Yaguang Liu, Lisa Singh, Ceren Budak:
Intermedia Agenda Setting during the 2016 and 2020 U.S. Presidential Elections. ICWSM 2024: 254-275 - [i5]Anupam Gupta, Ashok Krishnamurthy, Lisa Singh:
Early Fusion of Features for Semantic Segmentation. CoRR abs/2402.06091 (2024) - [i4]Yanchen Wang, Lisa Singh:
It is Time to Develop an Auditing Framework to Promote Value Aware Chatbots. CoRR abs/2409.01539 (2024) - 2023
- [j16]Rob Churchill, Lisa Singh:
Using topic-noise models to generate domain-specific topics across data sources. Knowl. Inf. Syst. 65(5): 2159-2186 (2023) - [c64]Autumn Toney-Wails, Kornraphop Kawintiranon, Lisa Singh, Paul-Emmanuel Courtines, Alexander Lin, Haofei Zhang:
Investigating Scientific Misinformation Using Different Modes of Learning. SDU@AAAI 2023 - [c63]Jaren Haber, Kornraphop Kawintiranon, Lisa Singh, Alexander Chen, Aidan Pizzo, Anna Pogrebivsky, Joyce Yang:
Identifying High-Quality Training Data for Misinformation Detection. DATA 2023: 64-76 - [c62]Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, Yaguang Liu, Gwyneth Dunlevy, Rhitabrat Pokharel, Varun Uppala:
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration. DSAA 2023: 1-10 - [c61]Yanchen Wang, Lisa Singh:
Mitigating demographic bias of machine learning models on social media. EAAMO 2023: 24:1-24:12 - [c60]Yaguang Liu, Lisa Singh:
Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings. WSDM 2023: 868-876 - [i3]Yanchen Wang, Lisa Singh:
Adding guardrails to advanced chatbots. CoRR abs/2306.07500 (2023) - 2022
- [j15]Rob Churchill, Lisa Singh:
The Evolution of Topic Modeling. ACM Comput. Surv. 54(10s): 215:1-215:35 (2022) - [j14]Kornraphop Kawintiranon, Lisa Singh, Ceren Budak:
Traditional and context-specific spam detection in low resource settings. Mach. Learn. 111(7): 2515-2536 (2022) - [c59]Julianne Zech, Lisa Singh, Kornraphop Kawintiranon, Naomi Mezey, Jamillah Williams:
Inferring #MeToo Experience Tweets using Classic and Neural Models. DATA 2022: 107-117 - [c58]Lisa Singh, Rebecca Vanarsdall, Yanchen Wang, Carole Roan Gresenz:
Students or Mechanical Turk: Who Are the More Reliable Social Media Data Labelers? DATA 2022: 408-415 - [c57]Kornraphop Kawintiranon, Lisa Singh:
PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter. LREC 2022: 7360-7367 - [c56]Rob Churchill, Lisa Singh:
Dynamic Topic-Noise Models for Social Media. PAKDD (2) 2022: 429-443 - [c55]Kornraphop Kawintiranon, Lisa Singh:
DeMis: Data-Efficient Misinformation Detection Using Reinforcement Learning. ECML/PKDD (2) 2022: 224-240 - [c54]Robert Churchill, Lisa Singh, Rebecca Ryan, Pamela Davis-Kean:
A Guided Topic-Noise Model for Short Texts. WWW 2022: 2870-2878 - 2021
- [j13]Yanchen Wang, Lisa Singh:
Analyzing the impact of missing values and selection bias on fairness. Int. J. Data Sci. Anal. 12(2): 101-119 (2021) - [c53]Lisa Singh, Colton Padden, Pamela Davis-Kean, Rabin David, Virinche Marwadi, Yiqing Ren, Rebecca Vanarsdall:
Text Analytic Research Portals: Supporting Large-Scale Social Science Research. IEEE BigData 2021: 6020-6022 - [c52]Yaguang Liu, Lisa Singh:
Age Inference Using A Hierarchical Attention Neural Network. CIKM 2021: 3273-3277 - [c51]Rob Churchill, Lisa Singh:
textPrep: A Text Preprocessing Toolkit for Topic Modeling on Social Media Data. DATA 2021: 60-70 - [c50]Yaguang Liu, Lisa Singh, Zeina Mneimneh:
A Comparative Analysis of Classic and Deep Learning Models for Inferring Gender and Age of Twitter Users. DeLTA 2021: 48-58 - [c49]Rob Churchill, Lisa Singh:
Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections. ICDM 2021: 71-80 - [c48]Kornraphop Kawintiranon, Lisa Singh:
Knowledge Enhanced Masked Language Model for Stance Detection. NAACL-HLT 2021: 4725-4735 - 2020
- [j12]Lisa Singh, Agoritsa Polyzou, Yanchen Wang, Jason Farr, Carole Roan Gresenz:
Social Media Data - Our Ethical Conundrum. IEEE Data Eng. Bull. 43(4): 23-38 (2020) - [j11]Lisa Singh, Leticia Bode, Ceren Budak, Kornraphop Kawintiranon, Colton Padden, Emily Vraga:
Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams. J. Comput. Soc. Sci. 3(2): 343-366 (2020) - [c47]Shuo Liu, Lisa Singh, Kevin Tian:
Information Exposure From Relational Background Knowledge on Social Media. DSAA 2020: 282-291 - [i2]Lisa Singh, Shweta Bansal, Leticia Bode, Ceren Budak, Guangqing Chi, Kornraphop Kawintiranon, Colton Padden, Rebecca Vanarsdall, Emily K. Vraga, Yanchen Wang:
A first look at COVID-19 information and misinformation sharing on Twitter. CoRR abs/2003.13907 (2020) - [i1]Lisa Singh, Katharine M. Donato, Ali Arab, Tomas Alvarez Belon, Abraham Fraifeld, Sean Fulmer, Douglas Post, Yanchen Wang:
Identifying Meaningful Indirect Indicators of Migration for Different Conflicts. CoRR abs/2007.06116 (2020)
2010 – 2019
- 2019
- [c46]Julianne Zech, Fransiska Dale, Lisa Singh, Jamillah Williams, Naomi Mezey:
Exploring the Relationship Between Conversation Using #MeToo and University Harassment Policies. DSAA 2019: 614-615 - [c45]Lisa Singh, Laila Wahedi, Yanchen Wang, Yifang Wei, Christo Kirov, Susan Martin, Katharine M. Donato, Yaguang Liu, Kornraphop Kawintiranon:
Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration. KDD 2019: 1975-1983 - [e1]Lisa Singh, Richard D. De Veaux, George Karypis, Francesco Bonchi, Jennifer Hill:
2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, DC, USA, October 5-8, 2019. IEEE 2019, ISBN 978-1-7281-4493-1 [contents] - 2018
- [j10]Yifang Wei, Lisa Singh, David Buttler, Brian Gallagher:
Using semantic graphs to detect overlapping target events and story lines from newspaper articles. Int. J. Data Sci. Anal. 5(1): 41-60 (2018) - [j9]Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo:
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. 47(3): 32-35 (2018) - [c44]Julia Hocket, Yaguang Liu, Yifang Wei, Lisa Singh, Nathan Schneider:
Detecting and Using Buzz from Newspapers to Understand Patterns of Movement. IEEE BigData 2018: 5336-5338 - [c43]Rob Churchill, Lisa Singh, Christo Kirov:
A Temporal Topic Model for Noisy Mediums. PAKDD (2) 2018: 42-53 - [r2]Lisa Singh, Janet Mann:
Modeling Social Preferences Based on Social Interactions. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [c42]Lisa Singh, Raghu Pemmaraju:
EOS: A multilingual text archive of international newspaper & blog articles. IEEE BigData 2017: 4835-4837 - [c41]Yifang Wei, Lisa Singh:
Understanding the impact of sampling and noise on detecting events using twitter. IEEE BigData 2017: 4855-4857 - [c40]Yifang Wei, Lisa Singh:
Using Network Flows to Identify Users Sharing Extremist Content on Social Media. PAKDD (1) 2017: 330-342 - 2016
- [c39]Sicong Zhang, Grace Hui Yang, Lisa Singh, Li Xiong:
Safelog: Supporting Web Search and Mining by Differentially-Private Query Logs. AAAI Fall Symposia 2016 - [c38]Janet Zhu, Sicong Zhang, Lisa Singh, Grace Hui Yang, Micah Sherr:
Generating risk reduction recommendations to decrease vulnerability of public online profiles. ASONAM 2016: 411-416 - [c37]Yifang Wei, Lisa Singh, Susan Martin:
Identification of extremism on Twitter. ASONAM 2016: 1251-1255 - [c36]V. S. Subrahmanian, Lada A. Adamic, Lise Getoor, Evimaria Terzi, Brian Uzzi, Lisa Singh:
ASONAM 2016 panel: Social network analysis for social good. ASONAM 2016: xlvii - [c35]Yifang Wei, Lisa Singh, Brian Gallagher, David Buttler:
Overlapping Target Event and Story Line Detection of Online Newspaper Articles. DSAA 2016: 222-232 - [c34]Sicong Zhang, Grace Hui Yang, Lisa Singh:
Anonymizing Query Logs by Differential Privacy. SIGIR 2016: 753-756 - [p3]Lisa Singh:
Data Ethics - Attaining Personal Privacy on the Web. Ethical Reasoning in Big Data 2016: 81-90 - 2015
- [j8]Denis Dimitrov, Lisa Singh, Janet Mann:
Query Operators for Comparing Uncertain Graphs. Trans. Large Scale Data Knowl. Centered Syst. 18: 115-152 (2015) - [c33]Lisa Singh, Grace Hui Yang, Micah Sherr, Andrew Hian-Cheong, Kevin Tian, Janet Zhu, Sicong Zhang:
Public Information Exposure Detection: Helping Users Understand Their Web Footprints. ASONAM 2015: 153-161 - [c32]Lisa Singh, Grace Hui Yang, Micah Sherr, Yifang Wei, Andrew Hian-Cheong, Kevin Tian, Janet Zhu, Sicong Zhang, Tavish Vaidya, Elchin Asgarli:
Helping Users Understand Their Web Footprints. WWW (Companion Volume) 2015: 117-118 - 2014
- [j7]Pratha Sah, Lisa Singh, Aaron Clauset, Shweta Bansal:
Exploring community structure in biological networks with random graphs. BMC Bioinform. 15: 220 (2014) - [c31]Calvin Newport, Lisa Singh, Yiqing Ren:
Membership Detection Using Cooperative Data Mining Algorithms. SDM 2014: 758-766 - [c30]Sicong Zhang, Hui Yang, Lisa Singh:
Increased Information Leakage from Text. PIR@SIGIR 2014: 41-42 - [r1]Lisa Singh, Janet Mann:
Modeling Social Preferences Based on Social Interactions. Encyclopedia of Social Network Analysis and Mining 2014: 963-969 - 2013
- [c29]Paul Caravelli, Yifang Wei, Daniel Subak, Lisa Singh, Janet Mann:
Understanding evolving group structures in time-varying networks. ASONAM 2013: 142-148 - [c28]Denis Dimitrov, Lisa Singh, Janet Mann:
Comparison Queries for Uncertain Graphs. DEXA (2) 2013: 124-140 - [c27]Denis Dimitrov, Lisa Singh, Janet Mann:
A process-centric data mining and visual analytic tool for exploring complex social networks. IDEA@KDD 2013: 45-53 - [c26]John Ferro, Lisa Singh, Micah Sherr:
Identifying individual vulnerability based on public data. PST 2013: 119-126 - [c25]David DeBoer, Wenchao Zhou, Lisa Singh:
Using substructure mining to identify misbehavior in network provenance graphs. GRADES 2013: 6 - [c24]W. Brad Moore, Yifang Wei, Adam Orshefsky, Micah Sherr, Lisa Singh, Hui Yang:
Understanding Site-Based Inference Potential for Identifying Hidden Attributes. SocialCom 2013: 570-577 - 2012
- [c23]Jason Robinson, Margaret Lonergan, Lisa Singh, Allison Candido, Mehmet Sayal:
SHARD: A Framework for Sequential, Hierarchical Anomaly Ranking and Detection. PAKDD (2) 2012: 243-255 - [c22]Frank Nagle, Lisa Singh, Aris Gkoulalas-Divanis:
EWNI: Efficient Anonymization of Vulnerable Individuals in Social Networks. PAKDD (2) 2012: 359-370 - [c21]Aditi Ramachandran, Lisa Singh, Edward Porter, Frank Nagle:
Exploring re-identification risks in public domains. PST 2012: 35-42 - [c20]Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann:
Stability vs. Diversity: Understanding the Dynamics of Actors in Time-Varying Affiliation Networks. SocialInformatics 2012: 1-6 - 2011
- [j6]Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann:
Understanding actor loyalty to event-based groups in affiliation networks. Soc. Netw. Anal. Min. 1(2): 115-126 (2011) - [c19]Hossam Sharara, Awalin Sopan, Galileo Namata, Lise Getoor, Lisa Singh:
G-PARE: A visual analytic tool for comparative analysis of uncertain graphs. IEEE VAST 2011: 61-70 - [c18]Mehmet Sayal, Lisa Singh:
Privately Detecting Pairwise Correlations in Distributed Time Series. SocialCom/PASSAT 2011: 981-987 - [c17]Nathaniel Cesario, Alex Pang, Lisa Singh:
Visualizing node attribute uncertainty in graphs. Visualization and Data Analysis 2011: 78680H - 2010
- [c16]Lisa Singh, Clare Schramm:
Identifying Similar Neighborhood Structures in Private Social Networks. ICDM Workshops 2010: 507-516 - [p2]Lisa Singh, Elisa Jayne Bienenstock, Janet Mann:
Perspectives on Social Network Analysis for Observational Scientific Data. Handbook of Social Network Technologies 2010: 147-168
2000 – 2009
- 2009
- [j5]Lisa Singh, Mehmet Sayal:
Privately detecting bursts in streaming, distributed time series data. Data Knowl. Eng. 68(6): 509-530 (2009) - [c15]Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann:
The Dynamics of Actor Loyalty to Groups in Affiliation Networks. ASONAM 2009: 101-106 - [c14]Frank Nagle, Lisa Singh:
Can Friends Be Trusted? Exploring Privacy in Online Social Networks. ASONAM 2009: 312-315 - [c13]Paul Caravelli, Mitchell Beard, Brian Gopalan, Lisa Singh, Zhang-Zhi Hu:
Generating Abstract Networks Using Multi-relational Biological Data. IV 2009: 331-336 - 2008
- [j4]M. Brian Blake, Lisa Singh:
Software Engineering for Web Services Workflow Systems. Int. J. Softw. Eng. Knowl. Eng. 18(2): 157-178 (2008) - [c12]Justin Zhan, Gary Blosser, Christopher C. Yang, Lisa Singh:
Privacy-Preserving Collaborative Social Networks. ISI Workshops 2008: 114-125 - [c11]Lisa Singh, Mitchell Beard, Brian Gopalan, Gregory Nelson:
Structure-Based Hierarchical Transformations for Interactive Visual Exploration of Social Networks. PAKDD 2008: 1015-1021 - [p1]Lisa Singh:
Challenges for Dynamic Heterogeneous Networks in Observational Sciences. Next Generation of Data Mining 2008 - 2007
- [j3]Lisa Singh, Lise Getoor:
Increasing the Predictive Power of Affiliation Networks. IEEE Data Eng. Bull. 30(2): 41-50 (2007) - [j2]Hyunmo Kang, Lise Getoor, Lisa Singh:
Visual analysis of dynamic group membership in temporal social networks. SIGKDD Explor. 9(2): 13-21 (2007) - [c10]Lisa Singh, Mehmet Sayal:
Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms. CIDM 2007: 646-653 - [c9]Lisa Singh, Justin Zhan:
Measuring Topological Anonymity in Social Networks. GrC 2007: 770-774 - [c8]Mehmet Sayal, Lisa Singh:
Detecting Aggregate Bursts from Scaled Bins within the Context of Privacy. ICDE Workshops 2007: 172-179 - [c7]Hyunmo Kang, Lise Getoor, Lisa Singh:
C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership. IEEE VAST 2007: 211-212 - [c6]Lisa Singh, Mitchell Beard, Lise Getoor, M. Brian Blake:
Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels. IV 2007: 672-679 - 2006
- [j1]M. Brian Blake, Lisa Singh, Andrew B. Williams, Wendell Norman, Amy L. Silva:
Experience Report: A Component-Based Data Management and Knowledge Discovery Framework for Aviation Studies. Int. J. Inf. Technol. Web Eng. 1(1): 76-90 (2006) - 2005
- [c5]Lisa Singh, Lise Getoor, Louis Licamele:
Pruning Social Networks Using Structural Properties and Descriptive Attributes. ICDM 2005: 773-776
1990 – 1999
- 1999
- [c4]Lisa Singh, Peter Scheuermann, Bin Chen:
IRIS: our prototype rule generation system. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 1999: 75-82 - [c3]Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann:
An Algorithm for Constrained Association Rule Mining in Semi-structured Data. PAKDD 1999: 148-158 - 1998
- [c2]Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann, Kiyoko Aoki:
A Robust System Architecture for Mining Semi-Structured Data. KDD 1998: 329-333 - 1997
- [c1]Lisa Singh, Peter Scheuermann, Bin Chen:
Generating Association Rules from Semi-Structured Documents Using an Extended Concept Hierarchy. CIKM 1997: 193-200
Coauthor Index
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last updated on 2024-10-31 21:07 CET by the dblp team
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