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Marian-Andrei Rizoiu
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2020 – today
- 2025
- [j12]Lanqin Yuan
, Marian-Andrei Rizoiu:
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures. Comput. Speech Lang. 89: 101690 (2025) - 2024
- [j11]Rohit Ram
Empirically measuring online social influence. EPJ Data Sci. 13(1): 53 (2024) - [c38]Amelie Girard, Didar Zowghi, Muneera Bano, Marian-Andrei Rizoiu:
Inclusive and Explainable AI Systems: A Systematic Literature Review. HICSS 2024: 1297-1306 - [c37]Pio Calderon
Opinion Market Model: Stemming Far-Right Opinion Spread Using Positive Interventions. ICWSM 2024: 177-190 - [c36]Pio Calderon
What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes. ECML/PKDD (5) 2024: 142-160 - [c35]Xian Gong
Harmony in the Australian Domain Space. WebSci 2024: 92-102 - [i50]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 abs/2403.08391 (2024) - [i49]Pio Calderon, Marian-Andrei Rizoiu
What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes. CoRR abs/2406.03390 (2024) - 2023
- [j10]Mateusz Nurek
Predicting Relationship Labels and Individual Personality Traits From Telecommunication History in Social Networks Using Hawkes Processes. IEEE Access 11: 8492-8503 (2023) - [j9]Lanqin Yuan
Transfer learning for hate speech detection in social media. J. Comput. Soc. Sci. 6(2): 1081-1101 (2023) - [c34]Daniela Elia, Marian-Andrei Rizoiu, Fang Chen, Didar Zowghi:
The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills. ACIS 2023 - [c33]Dima Galat, Marian-Andrei Rizoiu:
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training. CLEF (Working Notes) 2023: 102-113 - [c32]Quyu Kong
Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems. WWW 2023: 1813-1821 - [i48]Dima Galat, Marian-Andrei Rizoiu
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training. CoRR abs/2307.04412 (2023) - [i47]Daniela Elia
The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills. CoRR abs/2310.17909 (2023) - 2022
- [j8]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: 338:1-338:84 (2022) - [c31]Dawei Xu, Haoran Yang
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. ADMA (1) 2022: 520-534 - [c30]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 - [c29]Quyu Kong, Emily Booth, Francesco Bailo
Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. ICWSM 2022: 524-535 - [i46]Rohit Ram, Marian-Andrei Rizoiu
You are what you browse: A robust framework for uncovering political ideology. CoRR abs/2208.04097 (2022) - [i45]Pio Calderon, Rohit Ram, Marian-Andrei Rizoiu
Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions. CoRR abs/2208.06620 (2022) - [i44]Lanqin Yuan, Marian-Andrei Rizoiu
Detect Hate Speech in Unseen Domains using Multi-Task Learning: A Case Study of Political Public Figures. CoRR abs/2208.10598 (2022) - [i43]Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu:
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. CoRR abs/2209.02182 (2022) - [i42]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 abs/2211.14114 (2022) - 2021
- [j7]H. Juliette T. Unwin
Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. PLoS Comput. Biol. 17(4) (2021) - [c28]Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu
Linking the Dynamics of User Stance to the Structure of Online Discussions. IDA 2021: 275-286 - [c27]Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu
Birdspotter: A Tool for Analyzing and Labeling Twitter Users. WSDM 2021: 918-921 - [c26]Quyu Kong, Rohit Ram, Marian-Andrei Rizoiu
Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes. WSDM 2021: 1097-1100 - [i41]Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu
Linking User Opinion Dynamics and Online Discussions. CoRR abs/2101.09852 (2021) - [i40]Marian-Andrei Rizoiu
Interval-censored Hawkes processes. CoRR abs/2104.07932 (2021) - [i39]Quyu Kong, Emily Booth, Francesco Bailo
Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. CoRR abs/2109.00302 (2021) - [i38]Rohit Ram, Marian-Andrei Rizoiu
Conductance and Social Capital: Modeling and Empirically Measuring Online Social Influence. CoRR abs/2110.12569 (2021) - [i37]Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data. CoRR abs/2111.02062 (2021) - 2020
- [c25]Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. AAAI 2020: 6803-6810 - [c24]Nikolas Dawson, Marian-Andrei Rizoiu
Predicting Skill Shortages in Labor Markets: A Machine Learning Approach. IEEE BigData 2020: 3052-3061 - [c23]Quyu Kong, Marian-Andrei Rizoiu
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. CIKM 2020: 645-654 - [c22]Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie:
Variation across Scales: Measurement Fidelity under Twitter Data Sampling. ICWSM 2020: 715-725 - [c21]Adriana Simona Mihaita
Graph modelling approaches for motorway traffic flow prediction. ITSC 2020: 1-8 - [c20]Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie:
Quantile Propagation for Wasserstein-Approximate Gaussian Processes. NeurIPS 2020 - [c19]Quyu Kong
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. WSDM 2020: 286-294 - [i36]Quyu Kong
Exploiting Uncertainty in Popularity Prediction of Information Diffusion Cascades Using Self-exciting Point Processes. CoRR abs/2001.11132 (2020) - [i35]Paul X. McCarthy, Marian-Andrei Rizoiu
Long-term trends of diversity online. CoRR abs/2003.07049 (2020) - [i34]Siqi Wu, Marian-Andrei Rizoiu
Variation across Scales: Measurement Fidelity under Twitter Data Sampling. CoRR abs/2003.09557 (2020) - [i33]Nikolas Dawson, Marian-Andrei Rizoiu
Predicting Labor Shortages from Labor Demand and Labor Supply Data: A Machine Learning Approach. CoRR abs/2004.01311 (2020) - [i32]Quyu Kong
A Toolkit for Analyzing and Visualizing Online Users via Reshare Cascade Modeling. CoRR abs/2006.06167 (2020) - [i31]Adriana Simona Mihaita
Traffic congestion anomaly detection and prediction using deep learning. CoRR abs/2006.13215 (2020) - [i30]Adriana Simona Mihaita
Graph modelling approaches for motorway traffic flow prediction. CoRR abs/2006.14824 (2020) - [i29]Mateusz Nurek, Radoslaw Michalski, Marian-Andrei Rizoiu
Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits. CoRR abs/2009.02032 (2020) - [i28]Nikolas Dawson, Marian-Andrei Rizoiu
Job Transitions in a Time of Automation and Labor Market Crises. CoRR abs/2011.11801 (2020) - [i27]Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu
Birdspotter: A Tool for Analyzing and Labeling Twitter Users. CoRR abs/2012.02370 (2020)
2010 – 2019
- 2019
- [j6]Dongwoo Kim, Timothy Graham
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): 331-351 (2019) - [j5]Siqi Wu
Estimating Attention Flow in Online Video Networks. Proc. ACM Hum. Comput. Interact. 3(CSCW): 183:1-183:25 (2019) - [c18]Nik Dawson, Marian-Andrei Rizoiu
Adaptively selecting occupations to detect skill shortages from online job ads. IEEE BigData 2019: 1637-1643 - [c17]Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
Efficient Non-parametric Bayesian Hawkes Processes. IJCAI 2019: 4299-4305 - [c16]Adriana Simona Mihaita
Motorway Traffic Flow Prediction using Advanced Deep Learning. ITSC 2019: 1683-1690 - [i26]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 abs/1901.05228 (2019) - [i25]Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
Sparse Gaussian Process Modulated Hawkes Process. CoRR abs/1905.10496 (2019) - [i24]Adriana Simona Mihaita
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. CoRR abs/1905.12254 (2019) - [i23]Marian-Andrei Rizoiu
Transfer Learning for Hate Speech Detection in Social Media. CoRR abs/1906.03829 (2019) - [i22]Adriana Simona Mihaita
Motorway Traffic Flow Prediction using Advanced Deep Learning. CoRR abs/1907.06356 (2019) - [i21]Siqi Wu, Marian-Andrei Rizoiu
Estimating Attention Flow in Online Video Networks. CoRR abs/1908.07123 (2019) - [i20]Quyu Kong, Marian-Andrei Rizoiu
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. CoRR abs/1910.05451 (2019) - [i19]Nik Dawson, Marian-Andrei Rizoiu
Adaptively selecting occupations to detect skill shortages from online job ads. CoRR abs/1911.02302 (2019) - [i18]Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu
Quantile Propagation for Wasserstein-Approximate Gaussian Processes. CoRR abs/1912.10200 (2019) - 2018
- [c15]Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie:
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. ICWSM 2018: 201-210 - [c14]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: 300-309 - [c13]Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie:
Beyond Views: Measuring and Predicting Engagement in Online Videos. ICWSM 2018: 434-443 - [c12]Quyu Kong, Marian-Andrei Rizoiu
Will This Video Go Viral: Explaining and Predicting the Popularity of Youtube Videos. WWW (Companion Volume) 2018: 175-178 - [c11]Marian-Andrei Rizoiu
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations. WWW 2018: 419-428 - [p1]Marian-Andrei Rizoiu
Hawkes processes for events in social media. Frontiers of Multimedia Research 2018: 191-218 - [i17]Quyu Kong, Marian-Andrei Rizoiu
Will This Video Go Viral? Explaining and Predicting the Popularity of Youtube Videos. CoRR abs/1801.04117 (2018) - [i16]Marian-Andrei Rizoiu
#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st U.S. Presidential Debate. CoRR abs/1802.09808 (2018) - [i15]Swapnil Mishra
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. CoRR abs/1804.02101 (2018) - [i14]Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
Efficient Non-parametric Bayesian Hawkes Processes. CoRR abs/1810.03730 (2018) - 2017
- [c10]Marian-Andrei Rizoiu, Lexing Xie:
Online Popularity Under Promotion: Viral Potential, Forecasting, and the Economics of Time. ICWSM 2017: 182-191 - [c9]Marian-Andrei Rizoiu
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity. WWW 2017: 735-744 - [i13]Marian-Andrei Rizoiu
Online Popularity under Promotion: Viral Potential, Forecasting, and the Economics of Time. CoRR abs/1703.01012 (2017) - [i12]Marian-Andrei Rizoiu
A Tutorial on Hawkes Processes for Events in Social Media. CoRR abs/1708.06401 (2017) - [i11]Siqi Wu, Marian-Andrei Rizoiu
Beyond Views: Measuring and Predicting Engagement on YouTube Videos. CoRR abs/1709.02541 (2017) - [i10]Marian-Andrei Rizoiu
SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. CoRR abs/1711.01679 (2017) - 2016
- [j4]Marian-Andrei Rizoiu
ClusPath: a temporal-driven clustering to infer typical evolution paths. Data Min. Knowl. Discov. 30(5): 1324-1349 (2016) - [c8]Swapnil Mishra
Feature Driven and Point Process Approaches for Popularity Prediction. CIKM 2016: 1069-1078 - [c7]Marian-Andrei Rizoiu
Evolution of Privacy Loss in Wikipedia. WSDM 2016: 215-224 - [i9]Young-Min Kim, Julien Velcin, Stéphane Bonnevay, Marian-Andrei Rizoiu
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. CoRR abs/1601.02300 (2016) - [i8]Marian-Andrei Rizoiu
How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions. CoRR abs/1601.02603 (2016) - [i7]Marian-Andrei Rizoiu
Can this video be promoted? - Endogenous and exogenous popularity processes in social media. CoRR abs/1602.06033 (2016) - [i6]Swapnil Mishra
Feature Driven and Point Process Approaches for Popularity Prediction. CoRR abs/1608.04862 (2016) - 2015
- [j3]Marian-Andrei Rizoiu
Semantic-enriched visual vocabulary construction in a weakly supervised context. Intell. Data Anal. 19(1): 161-185 (2015) - [c6]Young-Min Kim, Julien Velcin, Stéphane Bonnevay, Marian-Andrei Rizoiu
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. ECIR 2015: 593-604 - [i5]Marian-Andrei Rizoiu
CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forums. CoRR abs/1504.07459 (2015) - [i4]Marian-Andrei Rizoiu
ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths. CoRR abs/1512.03501 (2015) - [i3]Marian-Andrei Rizoiu
Evolution of Privacy Loss in Wikipedia. CoRR abs/1512.03523 (2015) - [i2]Marian-Andrei Rizoiu
Semantic-enriched Visual Vocabulary Construction in a Weakly Supervised Context. CoRR abs/1512.04605 (2015) - [i1]Marian-Andrei Rizoiu
Unsupervised Feature Construction for Improving Data Representation and Semantics. CoRR abs/1512.05467 (2015) - 2014
- [j2]Marian-Andrei Rizoiu
How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions. Int. J. Artif. Intell. Tools 23(4) (2014) - 2013
- [j1]Marian-Andrei Rizoiu
Unsupervised feature construction for improving data representation and semantics. J. Intell. Inf. Syst. 40(3): 501-527 (2013) - [c5]Marian-Andrei Rizoiu:
Semi-Supervised Structuring of Complex Data. IJCAI 2013: 3239-3240 - 2012
- [c4]Marian-Andrei Rizoiu
Structuring Typical Evolutions Using Temporal-Driven Constrained Clustering. ICTAI 2012: 610-617 - 2011
- [c3]Claudiu Cristian Musat, Julien Velcin
Improving Topic Evaluation Using Conceptual Knowledge. IJCAI 2011: 1866-1871 - [c2]Claudiu Cristian Musat, Julien Velcin, Marian-Andrei Rizoiu
Concept-Based Topic Model Improvement. ISMIS Industrial Session 2011: 133-142 - 2010
- [c1]Marian-Andrei Rizoiu, Julien Velcin, Jean-Hugues Chauchat:
Regrouper les données textuelles et nommer les groupes à l'aide de classes recouvrantes. EGC 2010: 561-572
Coauthor Index
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last updated on 2024-12-10 20:46 CET by the dblp team
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