Lisa Singh

Orcid: 0000-0002-8300-2970

According to our database1, Lisa Singh authored at least 88 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Early Fusion of Features for Semantic Segmentation.
CoRR, 2024

2023
Using topic-noise models to generate domain-specific topics across data sources.
Knowl. Inf. Syst., May, 2023

Adding guardrails to advanced chatbots.
CoRR, 2023

Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Mitigating demographic bias of machine learning models on social media.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Identifying High-Quality Training Data for Misinformation Detection.
Proceedings of the 12th International Conference on Data Science, 2023

Investigating Scientific Misinformation Using Different Modes of Learning.
Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

2022
The Evolution of Topic Modeling.
ACM Comput. Surv., January, 2022

Traditional and context-specific spam detection in low resource settings.
Mach. Learn., 2022

A Guided Topic-Noise Model for Short Texts.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

DeMis: Data-Efficient Misinformation Detection Using Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Dynamic Topic-Noise Models for Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Inferring #MeToo Experience Tweets using Classic and Neural Models.
Proceedings of the 11th International Conference on Data Science, 2022

Students or Mechanical Turk: Who Are the More Reliable Social Media Data Labelers?
Proceedings of the 11th International Conference on Data Science, 2022

2021
Analyzing the impact of missing values and selection bias on fairness.
Int. J. Data Sci. Anal., 2021

Knowledge Enhanced Masked Language Model for Stance Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections.
Proceedings of the IEEE International Conference on Data Mining, 2021

A Comparative Analysis of Classic and Deep Learning Models for Inferring Gender and Age of Twitter Users.
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

textPrep: A Text Preprocessing Toolkit for Topic Modeling on Social Media Data.
Proceedings of the 10th International Conference on Data Science, 2021

Age Inference Using A Hierarchical Attention Neural Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Text Analytic Research Portals: Supporting Large-Scale Social Science Research.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams.
J. Comput. Soc. Sci., 2020

Social Media Data - Our Ethical Conundrum.
IEEE Data Eng. Bull., 2020

Identifying Meaningful Indirect Indicators of Migration for Different Conflicts.
CoRR, 2020

A first look at COVID-19 information and misinformation sharing on Twitter.
CoRR, 2020

Information Exposure From Relational Background Knowledge on Social Media.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Exploring the Relationship Between Conversation Using #MeToo and University Harassment Policies.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018
Modeling Social Preferences Based on Social Interactions.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets.
SIGMOD Rec., 2018

Using semantic graphs to detect overlapping target events and story lines from newspaper articles.
Int. J. Data Sci. Anal., 2018

A Temporal Topic Model for Noisy Mediums.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Detecting and Using Buzz from Newspapers to Understand Patterns of Movement.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Using Network Flows to Identify Users Sharing Extremist Content on Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Understanding the impact of sampling and noise on detecting events using twitter.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

EOS: A multilingual text archive of international newspaper & blog articles.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Anonymizing Query Logs by Differential Privacy.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Overlapping Target Event and Story Line Detection of Online Newspaper Articles.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Generating risk reduction recommendations to decrease vulnerability of public online profiles.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Identification of extremism on Twitter.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

ASONAM 2016 panel: Social network analysis for social good.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Safelog: Supporting Web Search and Mining by Differentially-Private Query Logs.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

Data Ethics - Attaining Personal Privacy on the Web.
Proceedings of the Ethical Reasoning in Big Data - An Exploratory Analysis, 2016

2015
Query Operators for Comparing Uncertain Graphs.
Trans. Large Scale Data Knowl. Centered Syst., 2015

Helping Users Understand Their Web Footprints.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Public Information Exposure Detection: Helping Users Understand Their Web Footprints.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Modeling Social Preferences Based on Social Interactions.
Encyclopedia of Social Network Analysis and Mining, 2014

Increased Information Leakage from Text.
Proceedings of the Proceeding of the 1st International Workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security co-located with 37th Annual International ACM SIGIR conference, 2014

Membership Detection Using Cooperative Data Mining Algorithms.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013
Understanding Site-Based Inference Potential for Identifying Hidden Attributes.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Using substructure mining to identify misbehavior in network provenance graphs.
Proceedings of the First International Workshop on Graph Data Management Experiences and Systems, 2013

Identifying individual vulnerability based on public data.
Proceedings of the Eleventh Annual International Conference on Privacy, Security and Trust, 2013

A process-centric data mining and visual analytic tool for exploring complex social networks.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Comparison Queries for Uncertain Graphs.
Proceedings of the Database and Expert Systems Applications, 2013

Understanding evolving group structures in time-varying networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Stability vs. Diversity: Understanding the Dynamics of Actors in Time-Varying Affiliation Networks.
Proceedings of the 2012 International Conference on Social Informatics (SocialInformatics), 2012

Exploring re-identification risks in public domains.
Proceedings of the Tenth Annual International Conference on Privacy, Security and Trust, 2012

SHARD: A Framework for Sequential, Hierarchical Anomaly Ranking and Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

EWNI: Efficient Anonymization of Vulnerable Individuals in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011
Understanding actor loyalty to event-based groups in affiliation networks.
Soc. Netw. Anal. Min., 2011

Visualizing node attribute uncertainty in graphs.
Proceedings of the Visualization and Data Analysis 2011, 2011

Privately Detecting Pairwise Correlations in Distributed Time Series.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

G-PARE: A visual analytic tool for comparative analysis of uncertain graphs.
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

2010
Perspectives on Social Network Analysis for Observational Scientific Data.
Proceedings of the Handbook of Social Network Technologies and Applications, 2010

Identifying Similar Neighborhood Structures in Private Social Networks.
Proceedings of the ICDMW 2010, 2010

2009
Privately detecting bursts in streaming, distributed time series data.
Data Knowl. Eng., 2009

Generating Abstract Networks Using Multi-relational Biological Data.
Proceedings of the 13th International Conference on Information Visualisation, 2009

The Dynamics of Actor Loyalty to Groups in Affiliation Networks.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

Can Friends Be Trusted? Exploring Privacy in Online Social Networks.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
Software Engineering for Web Services Workflow Systems.
Int. J. Softw. Eng. Knowl. Eng., 2008

Structure-Based Hierarchical Transformations for Interactive Visual Exploration of Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Privacy-Preserving Collaborative Social Networks.
Proceedings of the Intelligence and Security Informatics, 2008

Challenges for Dynamic Heterogeneous Networks in Observational Sciences.
Proceedings of the Next Generation of Data Mining., 2008

2007
Visual analysis of dynamic group membership in temporal social networks.
SIGKDD Explor., 2007

Increasing the Predictive Power of Affiliation Networks.
IEEE Data Eng. Bull., 2007

Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels.
Proceedings of the 11th International Conference on Information Visualisation, 2007

C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership.
Proceedings of the 2nd IEEE Symposium on Visual Analytics Science and Technology, 2007

Detecting Aggregate Bursts from Scaled Bins within the Context of Privacy.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

Measuring Topological Anonymity in Social Networks.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Experience Report: A Component-Based Data Management and Knowledge Discovery Framework for Aviation Studies.
Int. J. Inf. Technol. Web Eng., 2006

2005
Pruning Social Networks Using Structural Properties and Descriptive Attributes.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

1999
An Algorithm for Constrained Association Rule Mining in Semi-structured Data.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

IRIS: our prototype rule generation system.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 1999

1998
A Robust System Architecture for Mining Semi-Structured Data.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997
Generating Association Rules from Semi-Structured Documents Using an Extended Concept Hierarchy.
Proceedings of the Sixth International Conference on Information and Knowledge Management (CIKM'97), 1997


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