Marian-Andrei Rizoiu

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Interval-censored Hawkes processes.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

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

[BibT_eX]

[DOI]

Lanqin Yuan

CoRR, 2022

Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions.

[BibT_eX]

[DOI]

Pio Calderon

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

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

[BibT_eX]

[DOI]

Pio Calderon

Alexander Soen

CoRR, 2021

Conductance and Social Capital: Modeling and Empirically Measuring Online Social Influence.

[BibT_eX]

[DOI]

CoRR, 2021

Interval-censored Hawkes processes.

[BibT_eX]

[DOI]

CoRR, 2021

Linking User Opinion Dynamics and Online Discussions.

[BibT_eX]

[DOI]

Christine Largeron

Andrei Mardale

CoRR, 2021

Birdspotter: A Tool for Analyzing and Labeling Twitter Users.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Linking the Dynamics of User Stance to the Structure of Online Discussions.

[BibT_eX]

[DOI]

Christine Largeron

Andrei Mardale

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020

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

[BibT_eX]

[DOI]

Nikolas Dawson

Mary-Anne Williams

CoRR, 2020

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

[BibT_eX]

[DOI]

Mateusz Nurek

Radoslaw Michalski

CoRR, 2020

Traffic congestion anomaly detection and prediction using deep learning.

[BibT_eX]

[DOI]

Haowen Li

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Long-term trends of diversity online.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Quantile Propagation for Wasserstein-Approximate Gaussian Processes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zac Papachatgis

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Variation across Scales: Measurement Fidelity under Twitter Data Sampling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process.

[BibT_eX]

[DOI]

Rui Zhang

Christian J. Walder

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Estimating Attention Flow in Online Video Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Comput. Soc. Sci., 2019

Transfer Learning for Hate Speech Detection in Social Media.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Zheyuan Liu

Chen Cai

CoRR, 2019

Sparse Gaussian Process Modulated Hawkes Process.

[BibT_eX]

[DOI]

Rui Zhang

Christian J. Walder

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Motorway Traffic Flow Prediction using Advanced Deep Learning.

[BibT_eX]

[DOI]

Haowen Li

Zongyang He

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Efficient Non-parametric Bayesian Hawkes Processes.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptively selecting occupations to detect skill shortages from online job ads.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Swapnil Mishra

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Hawkes processes for events in social media.

[BibT_eX]

[DOI]

Young Lee

Swapnil Mishra

Proceedings of the Frontiers of Multimedia Research, 2018

2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Beyond Views: Measuring and Predicting Engagement on YouTube Videos.

[BibT_eX]

[DOI]

CoRR, 2017

A Tutorial on Hawkes Processes for Events in Social Media.

[BibT_eX]

[DOI]

CoRR, 2017

Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity.

[BibT_eX]

[DOI]

Pascal Van Hentenryck

Proceedings of the 26th International Conference on World Wide Web, 2017

Online Popularity Under Promotion: Viral Potential, Forecasting, and the Economics of Time.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016

ClusPath: a temporal-driven clustering to infer typical evolution paths.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2016

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

[BibT_eX]

[DOI]

Pascal Van Hentenryck

CoRR, 2016

Evolution of Privacy Loss in Wikipedia.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Feature Driven and Point Process Approaches for Popularity Prediction.

[BibT_eX]

[DOI]

Swapnil Mishra

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Semantic-enriched visual vocabulary construction in a weakly supervised context.

[BibT_eX]

[DOI]

Intell. Data Anal., 2015

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

[BibT_eX]

[DOI]

Adrien Guille

CoRR, 2015

Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2015

2014

How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2014

2013

Unsupervised feature construction for improving data representation and semantics.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2013

Semi-Supervised Structuring of Complex Data.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

2012

Structuring Typical Evolutions Using Temporal-Driven Constrained Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

Concept-Based Topic Model Improvement.

[BibT_eX]

[DOI]

Claudiu Cristian Musat

Stefan Trausan-Matu

Proceedings of the Emerging Intelligent Technologies in Industry, 2011

Improving Topic Evaluation Using Conceptual Knowledge.

[BibT_eX]

[DOI]

Claudiu Cristian Musat

Stefan Trausan-Matu

Proceedings of the IJCAI 2011, 2011

2010

Regrouper les données textuelles et nommer les groupes à l'aide de classes recouvrantes.

[BibT_eX]

[DOI]