Regrouper les données textuelles et nommer les groupes à l'aide de classes recouvrantes. - Marian-Andrei Rizoiu; Julien Velcin; Jean-Hugues Chauchat (EGC, 2010)

Improving Topic Evaluation Using Conceptual Knowledge. - Claudiu Cristian Musat; Julien Velcin; Stefan Trausan-Matu; Marian-Andrei Rizoiu (IJCAI, 2011)

Concept-Based Topic Model Improvement. - Claudiu Cristian Musat; Julien Velcin; Marian-Andrei Rizoiu; Stefan Trausan-Matu (ISMIS Industrial Session, 2011)

Structuring Typical Evolutions Using Temporal-Driven Constrained Clustering. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Lallich (ICTAI, 2012)

Semi-Supervised Structuring of Complex Data. - Marian-Andrei Rizoiu (IJCAI, 2013)

Unsupervised feature construction for improving data representation and semantics. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Lallich (J. Intell. Inf. Syst., 2013)

How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Lallich (Int. J. Artif. Intell. Tools, 2014)

Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. - Young-Min Kim; Julien Velcin; Stéphane Bonnevay; Marian-Andrei Rizoiu (ECIR, 2015)

CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forums. - Marian-Andrei Rizoiu; Adrien Guille; Julien Velcin (CoRR, 2015)

Semantic-enriched visual vocabulary construction in a weakly supervised context. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Lallich (Intell. Data Anal., 2015)

Feature Driven and Point Process Approaches for Popularity Prediction. - Swapnil Mishra; Marian-Andrei Rizoiu; Lexing Xie (CIKM, 2016)

Evolution of Privacy Loss in Wikipedia. - Marian-Andrei Rizoiu; Lexing Xie; Tibério S. Caetano; Manuel Cebrián (WSDM, 2016)

Can this video be promoted? - Endogenous and exogenous popularity processes in social media. - Marian-Andrei Rizoiu; Lexing Xie; Scott Sanner; Manuel Cebrián; Honglin Yu; Pascal Van Hentenryck (CoRR, 2016)

ClusPath: a temporal-driven clustering to infer typical evolution paths. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Bonnevay; Stéphane Lallich (Data Min. Knowl. Discov., 2016)

Online Popularity Under Promotion: Viral Potential, Forecasting, and the Economics of Time. - Marian-Andrei Rizoiu; Lexing Xie (ICWSM, 2017)

Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity. - Marian-Andrei Rizoiu; Lexing Xie; Scott Sanner; Manuel Cebrián; Honglin Yu; Pascal Van Hentenryck (WWW, 2017)

A Tutorial on Hawkes Processes for Events in Social Media. - Marian-Andrei Rizoiu; Young Lee; Swapnil Mishra; Lexing Xie (CoRR, 2017)

Beyond Views: Measuring and Predicting Engagement on YouTube Videos. - Siqi Wu; Marian-Andrei Rizoiu; Lexing Xie (CoRR, 2017)

SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. - Marian-Andrei Rizoiu; Swapnil Mishra; Quyu Kong; Mark James Carman; Lexing Xie (CoRR, 2017)

Hawkes processes for events in social media. - Marian-Andrei Rizoiu; Young Lee; Swapnil Mishra (Frontiers of Multimedia Research, 2018)

Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. - Swapnil Mishra; Marian-Andrei Rizoiu; Lexing Xie (ICWSM, 2018)

#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate. - Marian-Andrei Rizoiu; Timothy Graham 001; Rui Zhang; Yifei Zhang; Robert Ackland; Lexing Xie (ICWSM, 2018)

Beyond Views: Measuring and Predicting Engagement in Online Videos. - Siqi Wu; Marian-Andrei Rizoiu; Lexing Xie (ICWSM, 2018)

Will This Video Go Viral: Explaining and Predicting the Popularity of Youtube Videos. - Quyu Kong; Marian-Andrei Rizoiu; Siqi Wu; Lexing Xie (WWW (Companion Volume), 2018)

SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations. - Marian-Andrei Rizoiu; Swapnil Mishra; Quyu Kong; Mark James Carman; Lexing Xie (WWW, 2018)

#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st U.S. Presidential Debate. - Marian-Andrei Rizoiu; Timothy Graham 001; Rui Zhang; Yifei Zhang; Robert Ackland; Lexing Xie (CoRR, 2018)

Adaptively selecting occupations to detect skill shortages from online job ads. - Nik Dawson; Marian-Andrei Rizoiu; Benjamin Johnston; Mary-Anne Williams (IEEE BigData, 2019)

Efficient Non-parametric Bayesian Hawkes Processes. - Rui Zhang; Christian J. Walder; Marian-Andrei Rizoiu; Lexing Xie (IJCAI, 2019)

Motorway Traffic Flow Prediction using Advanced Deep Learning. - Adriana Simona Mihaita; Haowen Li; Zongyang He; Marian-Andrei Rizoiu (ITSC, 2019)

Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter. - Dongwoo Kim 002; Timothy Graham 001; Zimin Wan; Marian-Andrei Rizoiu (CoRR, 2019)

Sparse Gaussian Process Modulated Hawkes Process. - Rui Zhang; Christian J. Walder; Marian-Andrei Rizoiu (CoRR, 2019)

Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. - Adriana Simona Mihaita; Zheyuan Liu 002; Chen Cai; Marian-Andrei Rizoiu (CoRR, 2019)

Transfer Learning for Hate Speech Detection in Social Media. - Marian-Andrei Rizoiu; Tianyu Wang; Gabriela Ferraro; Hanna Suominen (CoRR, 2019)

Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter. - Dongwoo Kim 002; Timothy Graham 001; Zimin Wan; Marian-Andrei Rizoiu (J. Comput. Soc. Sci., 2019)

Estimating Attention Flow in Online Video Networks. - Siqi Wu; Marian-Andrei Rizoiu; Lexing Xie (Proc. ACM Hum. Comput. Interact., 2019)

Misinformation is not about bad facts: an analysis of the production and consumption of fringe content. - JooYoung Lee; Emily Booth; Hany Farid; Marian-Andrei Rizoiu (EPJ Data Sci., 2019)

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. - Rui Zhang; Christian J. Walder; Marian-Andrei Rizoiu (AAAI, 2020)

Predicting Skill Shortages in Labor Markets: A Machine Learning Approach. - Nikolas Dawson; Marian-Andrei Rizoiu; Benjamin Johnston; Mary-Anne Williams (IEEE BigData, 2020)

Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. - Quyu Kong; Marian-Andrei Rizoiu; Lexing Xie (CIKM, 2020)

Variation across Scales: Measurement Fidelity under Twitter Data Sampling. - Siqi Wu; Marian-Andrei Rizoiu; Lexing Xie (ICWSM, 2020)

Graph modelling approaches for motorway traffic flow prediction. - Adriana Simona Mihaita; Zac Papachatgis; Marian-Andrei Rizoiu (ITSC, 2020)

Quantile Propagation for Wasserstein-Approximate Gaussian Processes. - Rui Zhang; Christian J. Walder; Edwin V. Bonilla; Marian-Andrei Rizoiu; Lexing Xie (NeurIPS, 2020)

Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. - Quyu Kong; Marian-Andrei Rizoiu; Lexing Xie (WSDM, 2020)

Exploiting Uncertainty in Popularity Prediction of Information Diffusion Cascades Using Self-exciting Point Processes. - Quyu Kong; Marian-Andrei Rizoiu; Lexing Xie (CoRR, 2020)

Long-term trends of diversity online. - Paul X. McCarthy; Marian-Andrei Rizoiu; Sina Eghbal; Daniel S. Falster (CoRR, 2020)

Predicting Labor Shortages from Labor Demand and Labor Supply Data: A Machine Learning Approach. - Nikolas Dawson; Marian-Andrei Rizoiu; Benjamin Johnston; Mary-Anne Williams (CoRR, 2020)

A Toolkit for Analyzing and Visualizing Online Users via Reshare Cascade Modeling. - Quyu Kong; Rohit Ram; Marian-Andrei Rizoiu (CoRR, 2020)

Traffic congestion anomaly detection and prediction using deep learning. - Adriana Simona Mihaita; Haowen Li; Marian-Andrei Rizoiu (CoRR, 2020)

Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits. - Mateusz Nurek; Radoslaw Michalski; Marian-Andrei Rizoiu (CoRR, 2020)

Job Transitions in a Time of Automation and Labor Market Crises. - Nikolas Dawson; Marian-Andrei Rizoiu; Mary-Anne Williams (CoRR, 2020)

Linking the Dynamics of User Stance to the Structure of Online Discussions. - Christine Largeron; Andrei Mardale; Marian-Andrei Rizoiu (IDA, 2021)

Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes. - Quyu Kong; Rohit Ram; Marian-Andrei Rizoiu (WSDM, 2021)

Birdspotter: A Tool for Analyzing and Labeling Twitter Users. - Rohit Ram; Quyu Kong; Marian-Andrei Rizoiu (WSDM, 2021)

Linking User Opinion Dynamics and Online Discussions. - Christine Largeron; Andrei Mardale; Marian-Andrei Rizoiu (CoRR, 2021)

Interval-censored Hawkes processes. - Marian-Andrei Rizoiu; Alexander Soen; Shidi Li; Leanne Dong; Aditya Krishna Menon; Lexing Xie (CoRR, 2021)

Conductance and Social Capital: Modeling and Empirically Measuring Online Social Influence. - Rohit Ram; Marian-Andrei Rizoiu (CoRR, 2021)

Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. - H. Juliette T. Unwin; Isobel Routledge; Seth R. Flaxman; Marian-Andrei Rizoiu; Shengjie Lai; Justin Cohen; Daniel J. Weiss; Swapnil Mishra; Samir Bhatt (PLoS Comput. Biol., 2021)

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. - Dawei Xu; Haoran Yang; Marian-Andrei Rizoiu; Guandong Xu (ADMA (1), 2022)

Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets. - Alireza Ahadi; Kirsty Kitto; Marian-Andrei Rizoiu; Katarzyna Musial (EDM, 2022)

Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. - Quyu Kong; Emily Booth; Francesco Bailo; Amelia Johns; Marian-Andrei Rizoiu (ICWSM, 2022)

You are what you browse: A robust framework for uncovering political ideology. - Rohit Ram; Marian-Andrei Rizoiu (CoRR, 2022)

Detect Hate Speech in Unseen Domains using Multi-Task Learning: A Case Study of Political Public Figures. - Lanqin Yuan; Marian-Andrei Rizoiu (CoRR, 2022)

Interval-censored Hawkes processes. - Marian-Andrei Rizoiu; Alexander Soen; Shidi Li; Pio Calderon; Leanne Dong; Aditya Krishna Menon; Lexing Xie (J. Mach. Learn. Res., 2022)

The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills. - Daniela Elia; Marian-Andrei Rizoiu; Fang Chen; Didar Zowghi (ACIS, 2023)

From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT. - Dawei Xu; Haoran Yang; Marian-Andrei Rizoiu; Guandong Xu (BESC, 2023)

Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training. - Dima Galat; Marian-Andrei Rizoiu (CLEF (Working Notes), 2023)

Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems. - Quyu Kong; Pio Calderon; Rohit Ram; Olga Boichak; Marian-Andrei Rizoiu (WWW, 2023)

Predicting Relationship Labels and Individual Personality Traits From Telecommunication History in Social Networks Using Hawkes Processes. - Mateusz Nurek; Radoslaw Michalski; Omar Lizardo; Marian-Andrei Rizoiu (IEEE Access, 2023)

Transfer learning for hate speech detection in social media. - Lanqin Yuan; Tianyu Wang; Gabriela Ferraro; Hanna Suominen; Marian-Andrei Rizoiu (J. Comput. Soc. Sci., 2023)

Inclusive and Explainable AI Systems: A Systematic Literature Review. - Amelie Girard; Didar Zowghi; Muneera Bano; Marian-Andrei Rizoiu (HICSS, 2024)

Opinion Market Model: Stemming Far-Right Opinion Spread Using Positive Interventions. - Pio Calderon; Rohit Ram; Marian-Andrei Rizoiu (ICWSM, 2024)

What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes. - Pio Calderon; Marian-Andrei Rizoiu (ECML/PKDD (5), 2024)

Harmony in the Australian Domain Space. - Xian Gong; Paul X. McCarthy; Marian-Andrei Rizoiu; Paolo Boldi (WebSci, 2024)

Empirically measuring online social influence. - Rohit Ram; Marian-Andrei Rizoiu (EPJ Data Sci., 2024)

Practical Guidelines for Ideology Detection Pipelines and Psychosocial Applications. - Rohit Ram; Emma Thomas; David Kernot; Marian-Andrei Rizoiu (ICWSM, 2025)

Before It's Too Late: A State Space Model for the Early Prediction of Misinformation and Disinformation Engagement. - Lin Tian; Emily Booth; Francesco Bailo; Julian Droogan; Marian-Andrei Rizoiu (WWW, 2025)

Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study. - Lanqin Yuan; Philipp J. Schneider; Marian-Andrei Rizoiu (WWW, 2025)

Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures. - Lanqin Yuan; Marian-Andrei Rizoiu (Comput. Speech Lang., 2025)

Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data. - Pio Calderon; Alexander Soen; Marian-Andrei Rizoiu (IEEE Trans. Comput. Soc. Syst., 2025)

Cosmos 1.0: a multidimensional map of the emerging technology frontier. - Xian Gong; Paul X. McCarthy; Colin Griffith; Claire McFarland; Marian-Andrei Rizoiu (CoRR, 2025)

Signals from the Floods: AI-Driven Disaster Analysis through Multi-Source Data Fusion. - Xian Gong; Paul X. McCarthy; Lin Tian; Marian-Andrei Rizoiu (CoRR, 2025)

Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement. - Lin Tian; Marian-Andrei Rizoiu (CoRR, 2025)

Skill-Driven Certification Pathways: Measuring Industry Training Impact on Graduate Employability. - Anatoli Kovalev; Narelle Stefanac; Marian-Andrei Rizoiu (CoRR, 2025)

Mario at EXIST 2025: A Simple Gateway to Effective Multilingual Sexism Detection. - Lin Tian; Johanne R. Trippas; Marian-Andrei Rizoiu (CoRR, 2025)