Show years
2025
The Structural Safety Generalization Problem
(2025)
From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions
(2025)
Online Influence Campaigns: Strategies and Vulnerabilities
arXiv.org
(2025)
2024
Epistemic Integrity in Large Language Models
(2024)
A Guide to Misinformation Detection Datasets
arXiv.org
(2024)
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation
(2024)
Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training
(2024)
A Simulation System Towards Solving Societal-Scale Manipulation
(2024)
Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks
arXiv.org
(2024)
Web Retrieval Agents for Evidence-Based Misinformation Detection
Conference on Language Modeling
(2024)
Data Poisoning in LLMs: Jailbreak-Tuning and Scaling Laws
(2024)
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
Learning on Graph Conference
(2024)
Regional and Temporal Patterns of Partisan Polarization during the COVID-19 Pandemic in the United States and Canada
arXiv.org
(2024)
Game On, Hate Off: A Study of Toxicity in Online Multiplayer Environments
Games Res. Pract.
(2024)
Can Go AIs be adversarially robust?
arXiv.org
(2024)
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Neural Information Processing Systems
(2024)
Static graph approximations of dynamic contact networks for epidemic forecasting
Scientific Reports
(2024)
MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
arXiv.org
(2024)
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
AAAI Conference on Artificial Intelligence
(2024)
Temporal Graph Analysis with TGX
Web Search and Data Mining
(2024)
Scavenging Hyena: Distilling Transformers into Long Convolution Models
arXiv.org
(2024)
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation
UNCERTAINLP
(2024)
Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation
arXiv.org
(2024)
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
arXiv.org
(2024)
Uncertainty Resolution in Misinformation Detection
UNCERTAINLP
(2024)
An Evaluation of Language Models for Hyperpartisan Ideology Detection in Persian Twitter
EURALI
(2024)
Quantifying learning-style adaptation in effectiveness of LLM teaching
PERSONALIZE
(2024)
2023
Exploiting Novel GPT-4 APIs
arXiv.org
(2023)
Exhaustive Evaluation of Dynamic Link Prediction
2023 IEEE International Conference on Data Mining Workshops (ICDMW)
(2023)
SWEET : Weakly Supervised Person Name Extraction for Fighting Human Trafficking
Conference on Empirical Methods in Natural Language Processing
(2023)
Towards Detecting Contextual Real-Time Toxicity for In-Game Chat
Conference on Empirical Methods in Natural Language Processing
(2023)
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
International Conference on Learning Representations
(2023)
Party Prediction for Twitter
International Conference on Web and Social Media
(2023)
Open, Closed, or Small Language Models for Text Classification?
arXiv.org
(2023)
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
arXiv.org
(2023)
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Neural Information Processing Systems
(2023)
When does Continuous Learning for BERT make sense?
Canadian AI
(2023)
Better Bridges Between Model and Real World
Canadian AI
(2023)
Graph learning with programmatic weak supervision
Canadian AI
(2023)
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4
Conference on Empirical Methods in Natural Language Processing
(2023)
ToxBuster: In-game Chat Toxicity Buster with BERT
arXiv.org
(2023)
Fast and Attributed Change Detection on Dynamic Graphs with Density of States
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(2023)
Social Media as a Vector for Escort Ads:A Study on OnlyFans advertisements on Twitter
Web Science Conference
(2023)
DisKeyword: Tweet Corpora Exploration for Keyword Selection
Web Search and Data Mining
(2023)
DeltaShield: Information Theory for Human- Trafficking Detection
ACM Transactions on Knowledge Discovery from Data
(2023)
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
Trans. Mach. Learn. Res.
(2023)
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs
ACM Transactions on Knowledge Discovery from Data
(2023)
Unveiling Identity Biases in Toxicity Detection : A Game-Focused Dataset and Reactivity Analysis Approach
Conference on Empirical Methods in Natural Language Processing
(2023)
SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking
Conference on Empirical Methods in Natural Language Processing
(2023)
2022
Adversarial Policies Beat Superhuman Go AIs
International Conference on Machine Learning
(2022)
TRAFFIC BOARD : Digital Spatio-Temporal Pinboard for Human Trafficking Detection
(2022)
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking
IEEE Transactions on Visualization and Computer Graphics
(2022)
Active Keyword Selection to Track Evolving Topics on Twitter
2022 IEEE International Conference on Data Mining Workshops (ICDMW)
(2022)
Towards Better Evaluation for Dynamic Link Prediction
Neural Information Processing Systems
(2022)
Revisiting Hotels-50K and Hotel-ID
arXiv.org
(2022)
PCR-based Evaluation of Human Papillomavirus Genotypes in Oral Lichen Planus
Journal of Pharmacy and Bioallied Sciences
(2022)
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking
The Web Conference
(2022)
A Strong Node Classification Baseline for Temporal Graphs
SDM
(2022)
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking
Findings
(2022)
The Winners and Losers of Rental Tribunals
Social Science Research Network
(2022)
2021
Curating the Twitter Election Integrity Datasets for Better Online Troll Characterization
LatinX in AI at Neural Information Processing Systems Conference 2021
(2021)
Online Partisan Polarization of COVID-19
2021 International Conference on Data Mining Workshops (ICDMW)
(2021)
Understanding Capacity Saturation in Incremental Learning
Canadian Conference on AI
(2021)
Graph Attention Networks with Positional Embeddings
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(2021)
The Surprising Performance of Simple Baselines for Misinformation Detection
The Web Conference
(2021)
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection
IEEE International Conference on Data Engineering
(2021)
Efficient detection of online communities and social bot activity during electoral campaigns
Journal of Information Technology & Politics
(2021)
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(2021)
Scalable Change Point Detection for Dynamic Graphs
(2021)
Few Shot Image Generation via Implicit Autoencoding of Support Sets
(2021)
RAFFIC V IS : Fighting Human Trafficking through Visualization
(2021)
2020
Graph Neural Networks Learn Twitter Bot Behaviour
LatinX in AI at Neural Information Processing Systems Conference 2020
(2020)
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents
WNUT
(2020)
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
arXiv.org
(2020)
Incorporating dynamic flight network in SEIR to model mobility between populations
Applied Network Science
(2020)
Structure Aware Negative Sampling in Knowledge Graphs
Conference on Empirical Methods in Natural Language Processing
(2020)
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model
ACM International Conference on Bioinformatics, Computational Biology and Biomedicine
(2020)
Explaining Support for COVID-19 Cell Phone Contact Tracing
Canadian Journal of Political Science/Revue canadienne de science politique
(2020)
Laplacian Change Point Detection for Dynamic Graphs
Knowledge Discovery and Data Mining
(2020)
Group Equivariant Deep Reinforcement Learning
arXiv.org
(2020)
Investigating the Role of Social Bots During the 2019 Canadian Election
(2020)
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
arXiv.org
(2020)
Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia
BMC Psychiatry
(2020)
SCG: Spotting Coordinated Groups in Social Media
(2020)
A Study on Active Learning for Graphs
(2020)
Scaling up Simhash
Asian Conference on Machine Learning
(2020)
2019
SGP: Spotting Groups Polluting the Online Political Discourse
arXiv.org
(2019)
Neural Architecture Search for Class-incremental Learning
arXiv.org
(2019)
Anomaly Detection with Joint Representation Learning of Content and Connection
arXiv.org
(2019)
Politicians in the line of fire: Incivility and the treatment of women on social media
Research & Politics
(2019)
2018
A Faster Sampling Algorithm for Spherical k-means
Asian Conference on Machine Learning
(2018)
A Scalable Clustering Algorithm for Serendipity in Recommender Systems
2018 IEEE International Conference on Data Mining Workshops (ICDMW)
(2018)
Social-Affiliation Networks: Patterns and the SOAR Model
ECML/PKDD
(2018)
Active Search of Connections for Case Building and Combating Human Trafficking
Knowledge Discovery and Data Mining
(2018)
Modular Networks for Validating Community Detection Algorithms
arXiv.org
(2018)
A Note on the Unconditional Bias of the Nadaraya-Watson Regression Estimator
(2018)
2017
Assortativity: Proclivity Index for Attributed Networks (P RO N E )
(2017)
Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe)
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(2017)
A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters
AAAI Conference on Artificial Intelligence
(2017)
PROCLIVITY PATTERNS IN ATTRIBUTED GRAPHS
(2017)
2015
Generalization of clustering agreements and distances for overlapping clusters and network communities
Data mining and knowledge discovery
(2015)
Evaluation of Community Mining Algorithms in the Presence of Attributes
PAKDD Workshops
(2015)
Generating Attributed Networks with Communities
PLoS ONE
(2015)
2014
Community Dynamics: Event and Role Analysis in Social Network Analysis
International Conference on Advanced Data Mining and Applications
(2014)
Generalization of clustering agreements and distances for overlapping clusters and network communities
Data mining and knowledge discovery
(2014)
SSRM: structural social role mining for dynamic social networks
Social Network Analysis and Mining
(2014)
Community evolution prediction in dynamic social networks
International Conference on Advances in Social Networks Analysis and Mining
(2014)
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
Neural Information Processing Systems
(2014)
Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective
(2014)
Mining Large Scale Data from National Educational Achievement Tests A Case Study
(2014)
2013
Communities validity: methodical evaluation of community mining algorithms
Social Network Analysis and Mining
(2013)
Incremental local community identification in dynamic social networks
International Conference on Advances in Social Networks Analysis and Mining
(2013)
Relative Validity Criteria for Community Mining Algorithms Synonyms Evaluation
(2013)
2012
Relative Validity Criteria for Community Mining Algorithms
2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
(2012)
Social network analysis and mining to support the assessment of on-line student participation
SKDD
(2012)
2011
A Diffusion of Innovation-Based Closeness Measure for Network Associations
2011 IEEE 11th International Conference on Data Mining Workshops
(2011)
Web service matching for RESTful web services
Symposium on Web Systems Evolution
(2011)
Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques
Educational Data Mining
(2011)
2010
Meerkat: Community Mining with Dynamic Social Networks
2010 IEEE International Conference on Data Mining Workshops
(2010)