Marian-Andrei Rizoiu

Publication Activity (10 Years)

Years Active: 2010-2025
Publications (10 Years): 85

Top Topics

Evolutionary Clustering

Gaussian Process

Top Venues

Publications

Lanqin Yuan, Marian-Andrei Rizoiu
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures. Comput. Speech Lang. 89 (2025)
Xian Gong, Paul X. McCarthy, Marian-Andrei Rizoiu, Paolo Boldi
Harmony in the Australian Domain Space. WebSci (2024)
Pio Calderon, Marian-Andrei Rizoiu
What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes. CoRR (2024)
Pio Calderon, Rohit Ram, Marian-Andrei Rizoiu
Opinion Market Model: Stemming Far-Right Opinion Spread Using Positive Interventions. ICWSM (2024)
JooYoung Lee, Emily Booth, Hany Farid, Marian-Andrei Rizoiu
Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Content. CoRR (2024)
Rohit Ram, Marian-Andrei Rizoiu
Empirically measuring online social influence. EPJ Data Sci. 13 (1) (2024)
Amelie Girard, Didar Zowghi, Muneera Bano, Marian-Andrei Rizoiu
Inclusive and Explainable AI Systems: A Systematic Literature Review. HICSS (2024)
Quyu Kong, Pio Calderon, Rohit Ram, Olga Boichak, Marian-Andrei Rizoiu
Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems. WWW (2023)
Mateusz Nurek, Radoslaw Michalski, Omar Lizardo, Marian-Andrei Rizoiu
Predicting Relationship Labels and Individual Personality Traits From Telecommunication History in Social Networks Using Hawkes Processes. IEEE Access 11 (2023)
Daniela Elia, Marian-Andrei Rizoiu, Fang Chen, Didar Zowghi
The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills. ACIS (2023)
Dima Galat, Marian-Andrei Rizoiu
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training. CoRR (2023)
Dima Galat, Marian-Andrei Rizoiu
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training. CLEF (Working Notes) (2023)
Lanqin Yuan, Tianyu Wang, Gabriela Ferraro, Hanna Suominen, Marian-Andrei Rizoiu
Transfer learning for hate speech detection in social media. J. Comput. Soc. Sci. 6 (2) (2023)
Daniela Elia, Fang Chen, Didar Zowghi, Marian-Andrei Rizoiu
The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills. CoRR (2023)
Quyu Kong, Emily Booth, Francesco Bailo, Amelia Johns, Marian-Andrei Rizoiu
Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. ICWSM (2022)
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Pio Calderon, Leanne Dong, Aditya Krishna Menon, Lexing Xie
Interval-censored Hawkes processes. J. Mach. Learn. Res. 23 (2022)
Lanqin Yuan, Marian-Andrei Rizoiu
Detect Hate Speech in Unseen Domains using Multi-Task Learning: A Case Study of Political Public Figures. CoRR (2022)
Alireza Ahadi, Kirsty Kitto, Marian-Andrei Rizoiu, Katarzyna Musial
Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets. EDM (2022)
Pio Calderon, Rohit Ram, Marian-Andrei Rizoiu
Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions. CoRR (2022)
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. CoRR (2022)
Quyu Kong, Pio Calderon, Rohit Ram, Olga Boichak, Marian-Andrei Rizoiu
Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems. CoRR (2022)
Rohit Ram, Marian-Andrei Rizoiu
You are what you browse: A robust framework for uncovering political ideology. CoRR (2022)
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. ADMA (1) (2022)
Quyu Kong, Emily Booth, Francesco Bailo, Amelia Johns, Marian-Andrei Rizoiu
Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. CoRR (2021)
Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu
Birdspotter: A Tool for Analyzing and Labeling Twitter Users. WSDM (2021)
Quyu Kong, Rohit Ram, Marian-Andrei Rizoiu
Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes. WSDM (2021)
Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu
Linking the Dynamics of User Stance to the Structure of Online Discussions. IDA (2021)
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Leanne Dong, Aditya Krishna Menon, Lexing Xie
Interval-censored Hawkes processes. CoRR (2021)
Rohit Ram, Marian-Andrei Rizoiu
Conductance and Social Capital: Modeling and Empirically Measuring Online Social Influence. CoRR (2021)
Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu
Linking User Opinion Dynamics and Online Discussions. CoRR (2021)
H. Juliette T. Unwin, Isobel Routledge, Seth Flaxman, Marian-Andrei Rizoiu, Shengjie Lai, Justin Cohen, Daniel J. Weiss, Swapnil Mishra, Samir Bhatt
Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. PLoS Comput. Biol. 17 (4) (2021)
Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data. CoRR (2021)
Adriana Simona Mihaita, Zac Papachatgis, Marian-Andrei Rizoiu
Graph modelling approaches for motorway traffic flow prediction. CoRR (2020)
Nikolas Dawson, Marian-Andrei Rizoiu, Mary-Anne Williams
Job Transitions in a Time of Automation and Labor Market Crises. CoRR (2020)
Nikolas Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams
Predicting Labor Shortages from Labor Demand and Labor Supply Data: A Machine Learning Approach. CoRR (2020)
Quyu Kong, Rohit Ram, Marian-Andrei Rizoiu
A Toolkit for Analyzing and Visualizing Online Users via Reshare Cascade Modeling. CoRR (2020)
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. CIKM (2020)
Mateusz Nurek, Radoslaw Michalski, Marian-Andrei Rizoiu
Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits. CoRR (2020)
Nikolas Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams
Predicting Skill Shortages in Labor Markets: A Machine Learning Approach. IEEE BigData (2020)
Paul X. McCarthy, Marian-Andrei Rizoiu, Sina Eghbal, Daniel S. Falster
Long-term trends of diversity online. CoRR (2020)
Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie
Quantile Propagation for Wasserstein-Approximate Gaussian Processes. NeurIPS (2020)
Adriana Simona Mihaita, Haowen Li, Marian-Andrei Rizoiu
Traffic congestion anomaly detection and prediction using deep learning. CoRR (2020)
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
Exploiting Uncertainty in Popularity Prediction of Information Diffusion Cascades Using Self-exciting Point Processes. CoRR (2020)
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
Variation across Scales: Measurement Fidelity under Twitter Data Sampling. ICWSM (2020)
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
Variation across Scales: Measurement Fidelity under Twitter Data Sampling. CoRR (2020)
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. WSDM (2020)
Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. AAAI (2020)
Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu
Birdspotter: A Tool for Analyzing and Labeling Twitter Users. CoRR (2020)
Adriana Simona Mihaita, Zac Papachatgis, Marian-Andrei Rizoiu
Graph modelling approaches for motorway traffic flow prediction. ITSC (2020)
Nik Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams
Adaptively selecting occupations to detect skill shortages from online job ads. IEEE BigData (2019)
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. CoRR (2019)
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
Estimating Attention Flow in Online Video Networks. CoRR (2019)
Nik Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams
Adaptively selecting occupations to detect skill shortages from online job ads. CoRR (2019)
Adriana Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. CoRR (2019)
Adriana Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu
Motorway Traffic Flow Prediction using Advanced Deep Learning. ITSC (2019)
Dongwoo Kim, Timothy Graham, Zimin Wan, Marian-Andrei Rizoiu
Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter. J. Comput. Soc. Sci. 2 (2) (2019)
Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie
Quantile Propagation for Wasserstein-Approximate Gaussian Processes. CoRR (2019)
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
Estimating Attention Flow in Online Video Networks. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie
Efficient Non-parametric Bayesian Hawkes Processes. IJCAI (2019)
Dongwoo Kim, Timothy Graham, Zimin Wan, Marian-Andrei Rizoiu
Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter. CoRR (2019)
Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
Sparse Gaussian Process Modulated Hawkes Process. CoRR (2019)
Marian-Andrei Rizoiu, Tianyu Wang, Gabriela Ferraro, Hanna Suominen
Transfer Learning for Hate Speech Detection in Social Media. CoRR (2019)
Adriana Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu
Motorway Traffic Flow Prediction using Advanced Deep Learning. CoRR (2019)
Marian-Andrei Rizoiu, Timothy Graham, Rui Zhang, Yifei Zhang, Robert Ackland, Lexing Xie
#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st U.S. Presidential Debate. CoRR (2018)
Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. CoRR (2018)
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
Beyond Views: Measuring and Predicting Engagement in Online Videos. ICWSM (2018)
Marian-Andrei Rizoiu, Timothy Graham, Rui Zhang, Yifei Zhang, Robert Ackland, Lexing Xie
#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate. ICWSM (2018)
Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. ICWSM (2018)
Quyu Kong, Marian-Andrei Rizoiu, Siqi Wu, Lexing Xie
Will This Video Go Viral: Explaining and Predicting the Popularity of Youtube Videos. WWW (Companion Volume) (2018)
Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie
Efficient Non-parametric Bayesian Hawkes Processes. CoRR (2018)
Quyu Kong, Marian-Andrei Rizoiu, Siqi Wu, Lexing Xie
Will This Video Go Viral? Explaining and Predicting the Popularity of Youtube Videos. CoRR (2018)
Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations. WWW (2018)
Marian-Andrei Rizoiu, Young Lee, Swapnil Mishra, Lexing Xie
A Tutorial on Hawkes Processes for Events in Social Media. CoRR (2017)
Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner, Manuel Cebrián, Honglin Yu, Pascal Van Hentenryck
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity. WWW (2017)
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
Beyond Views: Measuring and Predicting Engagement on YouTube Videos. CoRR (2017)
Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie
SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. CoRR (2017)
Marian-Andrei Rizoiu, Lexing Xie
Online Popularity under Promotion: Viral Potential, Forecasting, and the Economics of Time. CoRR (2017)
Marian-Andrei Rizoiu, Lexing Xie
Online Popularity Under Promotion: Viral Potential, Forecasting, and the Economics of Time. ICWSM (2017)
Young-Min Kim, Julien Velcin, Stéphane Bonnevay, Marian-Andrei Rizoiu
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. CoRR (2016)
Marian-Andrei Rizoiu, Lexing Xie, Tibério S. Caetano, Manuel Cebrián
Evolution of Privacy Loss in Wikipedia. WSDM (2016)
Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie
Feature Driven and Point Process Approaches for Popularity Prediction. CoRR (2016)
Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner, Manuel Cebrián, Honglin Yu, Pascal Van Hentenryck
Can this video be promoted? - Endogenous and exogenous popularity processes in social media. CoRR (2016)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Lallich
How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions. CoRR (2016)
Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie
Feature Driven and Point Process Approaches for Popularity Prediction. CIKM (2016)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Bonnevay, Stéphane Lallich
ClusPath: a temporal-driven clustering to infer typical evolution paths. Data Min. Knowl. Discov. 30 (5) (2016)
Young-Min Kim, Julien Velcin, Stéphane Bonnevay, Marian-Andrei Rizoiu
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. ECIR (2015)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Bonnevay, Stéphane Lallich
ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths. CoRR (2015)
Marian-Andrei Rizoiu, Adrien Guille, Julien Velcin
CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forums. CoRR (2015)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Lallich
Semantic-enriched Visual Vocabulary Construction in a Weakly Supervised Context. CoRR (2015)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Lallich
Unsupervised Feature Construction for Improving Data Representation and Semantics. CoRR (2015)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Lallich
Semantic-enriched visual vocabulary construction in a weakly supervised context. Intell. Data Anal. 19 (1) (2015)
Marian-Andrei Rizoiu, Lexing Xie, Tibério S. Caetano, Manuel Cebrián
Evolution of Privacy Loss in Wikipedia. CoRR (2015)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Lallich
How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions. Int. J. Artif. Intell. Tools 23 (4) (2014)
Marian-Andrei Rizoiu
Semi-Supervised Structuring of Complex Data. IJCAI (2013)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Lallich
Unsupervised feature construction for improving data representation and semantics. J. Intell. Inf. Syst. 40 (3) (2013)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Lallich
Structuring Typical Evolutions Using Temporal-Driven Constrained Clustering. ICTAI (2012)
Claudiu Cristian Musat, Julien Velcin, Stefan Trausan-Matu, Marian-Andrei Rizoiu
Improving Topic Evaluation Using Conceptual Knowledge. IJCAI (2011)
Claudiu Cristian Musat, Julien Velcin, Marian-Andrei Rizoiu, Stefan Trausan-Matu
Concept-Based Topic Model Improvement. ISMIS Industrial Session (2011)
Marian-Andrei Rizoiu, Julien Velcin, Jean-Hugues Chauchat
Regrouper les données textuelles et nommer les groupes à l'aide de classes recouvrantes. EGC (2010)