Marian-Andrei Rizoiu

Orcid: 0000-0003-0381-669X

According to our database1, Marian-Andrei Rizoiu authored at least 75 papers between 2010 and 2025.

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Bibliography

2025
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures.
Comput. Speech Lang., 2025

2024
Empirically measuring online social influence.
EPJ Data Sci., December, 2024

Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Content.
CoRR, 2024

Harmony in the Australian Domain Space.
Proceedings of the 16th ACM Web Science Conference, 2024

What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Opinion Market Model: Stemming Far-Right Opinion Spread Using Positive Interventions.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Inclusive and Explainable AI Systems: A Systematic Literature Review.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
Transfer learning for hate speech detection in social media.
J. Comput. Soc. Sci., October, 2023

Predicting Relationship Labels and Individual Personality Traits From Telecommunication History in Social Networks Using Hawkes Processes.
IEEE Access, 2023

Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems.
Proceedings of the ACM Web Conference 2023, 2023

Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills.
Proceedings of the Australasian Conference on Information Systems, 2023

2022
Interval-censored Hawkes processes.
J. Mach. Learn. Res., 2022

Detect Hate Speech in Unseen Domains using Multi-Task Learning: A Case Study of Political Public Figures.
CoRR, 2022

You are what you browse: A robust framework for uncovering political ideology.
CoRR, 2022

Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
Using Hawkes Processes to model imported and local malaria cases in near-elimination settings.
PLoS Comput. Biol., 2021

Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data.
CoRR, 2021

Conductance and Social Capital: Modeling and Empirically Measuring Online Social Influence.
CoRR, 2021

Interval-censored Hawkes processes.
CoRR, 2021

Linking User Opinion Dynamics and Online Discussions.
CoRR, 2021

Birdspotter: A Tool for Analyzing and Labeling Twitter Users.
Proceedings of the WSDM '21, 2021

Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes.
Proceedings of the WSDM '21, 2021

Linking the Dynamics of User Stance to the Structure of Online Discussions.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020
Job Transitions in a Time of Automation and Labor Market Crises.
CoRR, 2020

Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits.
CoRR, 2020

Traffic congestion anomaly detection and prediction using deep learning.
CoRR, 2020

A Toolkit for Analyzing and Visualizing Online Users via Reshare Cascade Modeling.
CoRR, 2020

Predicting Labor Shortages from Labor Demand and Labor Supply Data: A Machine Learning Approach.
CoRR, 2020

Long-term trends of diversity online.
CoRR, 2020

Exploiting Uncertainty in Popularity Prediction of Information Diffusion Cascades Using Self-exciting Point Processes.
CoRR, 2020

Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Quantile Propagation for Wasserstein-Approximate Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph modelling approaches for motorway traffic flow prediction.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Variation across Scales: Measurement Fidelity under Twitter Data Sampling.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Predicting Skill Shortages in Labor Markets: A Machine Learning Approach.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Estimating Attention Flow in Online Video Networks.
Proc. ACM Hum. Comput. Interact., 2019

Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter.
J. Comput. Soc. Sci., 2019

Transfer Learning for Hate Speech Detection in Social Media.
CoRR, 2019

Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting.
CoRR, 2019

Sparse Gaussian Process Modulated Hawkes Process.
CoRR, 2019

Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter.
CoRR, 2019

Motorway Traffic Flow Prediction using Advanced Deep Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Efficient Non-parametric Bayesian Hawkes Processes.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptively selecting occupations to detect skill shortages from online job ads.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st U.S. Presidential Debate.
CoRR, 2018

SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Will This Video Go Viral: Explaining and Predicting the Popularity of Youtube Videos.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Beyond Views: Measuring and Predicting Engagement in Online Videos.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Hawkes processes for events in social media.
Proceedings of the Frontiers of Multimedia Research, 2018

2017
SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes.
CoRR, 2017

Beyond Views: Measuring and Predicting Engagement on YouTube Videos.
CoRR, 2017

A Tutorial on Hawkes Processes for Events in Social Media.
CoRR, 2017

Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity.
Proceedings of the 26th International Conference on World Wide Web, 2017

Online Popularity Under Promotion: Viral Potential, Forecasting, and the Economics of Time.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
ClusPath: a temporal-driven clustering to infer typical evolution paths.
Data Min. Knowl. Discov., 2016

Can this video be promoted? - Endogenous and exogenous popularity processes in social media.
CoRR, 2016

Evolution of Privacy Loss in Wikipedia.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Feature Driven and Point Process Approaches for Popularity Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Semantic-enriched visual vocabulary construction in a weakly supervised context.
Intell. Data Anal., 2015

CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forums.
CoRR, 2015

Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering.
Proceedings of the Advances in Information Retrieval, 2015

2014
How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions.
Int. J. Artif. Intell. Tools, 2014

2013
Unsupervised feature construction for improving data representation and semantics.
J. Intell. Inf. Syst., 2013

Semi-Supervised Structuring of Complex Data.
Proceedings of the IJCAI 2013, 2013

2012
Structuring Typical Evolutions Using Temporal-Driven Constrained Clustering.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Concept-Based Topic Model Improvement.
Proceedings of the Emerging Intelligent Technologies in Industry, 2011

Improving Topic Evaluation Using Conceptual Knowledge.
Proceedings of the IJCAI 2011, 2011

2010
Regrouper les données textuelles et nommer les groupes à l'aide de classes recouvrantes.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010


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