Marian-Andrei Rizoiu

research

∙ 07/10/2023

Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training

Biomedical summarization requires large datasets to train for text gener...

0 Dima Galat, et al. ∙

research

∙ 09/06/2022

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

The rapid advances in automation technologies, such as artificial intell...

0 Dawei Xu, et al. ∙

research

∙ 08/22/2022

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

Automatic identification of hateful and abusive content is vital in comb...

0 Lanqin Yuan, et al. ∙

research

∙ 08/13/2022

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

Recent years have seen the rise of extremist views in the opinion ecosys...

0 Pio Calderon, et al. ∙

research

∙ 08/08/2022

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

The political opinion landscape, in a democratic country, lays the found...

0 Rohit Ram, et al. ∙

research

∙ 11/03/2021

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

This work introduces a novel multivariate temporal point process, the Pa...

5 Pio Calderon, et al. ∙

research

∙ 10/25/2021

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

Social influence pervades our everyday lives and lays the foundation for...

0 Rohit Ram, et al. ∙

research

∙ 04/16/2021

Interval-censored Hawkes processes

This work builds a novel point process and tools to use the Hawkes proce...

10 Marian-Andrei Rizoiu, et al. ∙

research

∙ 01/25/2021

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

This paper studies the dynamics of opinion formation and polarization in...

0 Christine Largeron, et al. ∙

research

∙ 12/04/2020

Birdspotter: A Tool for Analyzing and Labeling Twitter Users

The impact of online social media on societal events and institutions is...

0 Rohit Ram, et al. ∙

research

∙ 11/23/2020

Job Transitions in a Time of Automation and Labor Market Crises

Job security can never be taken for granted, especially in times of rapi...

0 Nikolas Dawson, et al. ∙

research

∙ 09/04/2020

Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits

It is not news that our mobile phones contain a wealth of private inform...

0 Mateusz Nurek, et al. ∙

research

∙ 06/26/2020

Graph modelling approaches for motorway traffic flow prediction

Traffic flow prediction, particularly in areas that experience highly dy...

0 Adriana-Simona Mihaita, et al. ∙

research

∙ 06/23/2020

Traffic congestion anomaly detection and prediction using deep learning

Congestion prediction represents a major priority for traffic management...

0 Adriana-Simona Mihaita, et al. ∙

research

∙ 06/11/2020

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

Modeling online discourse dynamics is a core activity in understanding t...

0 Quyu Kong, et al. ∙

research

∙ 04/03/2020

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

This research develops a Machine Learning approach able to predict labor...

0 Nikolas Dawson, et al. ∙

research

∙ 04/03/2020

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

This research develops a Machine Learning approach able to predict labor...

0 Nikolas Dawson, et al. ∙

research

∙ 03/21/2020

Variation across Scales: Measurement Fidelity under Twitter Data Sampling

A comprehensive understanding of data bias is the cornerstone of mitigat...

0 Siqi Wu, et al. ∙

research

∙ 03/16/2020

Long-term trends of diversity online

Ever since the web began, the number of websites has been growing expone...

0 Paul X. McCarthy, et al. ∙

research

∙ 12/21/2019

Quantile Propagation for Wasserstein-Approximate Gaussian Processes

In this work, we develop a new approximation method to solve the analyti...

13 Rui Zhang, et al. ∙

research

∙ 11/06/2019

Adaptively selecting occupations to detect skill shortages from online job ads

This research develops a data-driven method to generate sets of highly s...

0 Nik Dawson, et al. ∙

research

∙ 08/20/2019

Estimating Attention Flow in Online Video Networks

Online videos have shown tremendous increase in Internet traffic. Most v...

0 Siqi Wu, et al. ∙

research

∙ 08/20/2019

Estimating Attention Flow in Online Video Network

Online videos have shown tremendous increase in Internet traffic. Most v...

0 Siqi Wu, et al. ∙

research

∙ 07/15/2019

Motorway Traffic Flow Prediction using Advanced Deep Learning

Congestion prediction represents a major priority for traffic management...

3 Adriana-Simona Mihaita, et al. ∙

research

∙ 06/10/2019

Transfer Learning for Hate Speech Detection in Social Media

In today's society more and more people are connected to the Internet, a...

0 Marian-Andrei Rizoiu, et al. ∙

research

∙ 05/29/2019

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

Predicting traffic incident duration is a major challenge for many traff...

0 Adriana-Simona Mihaita, et al. ∙

research

∙ 05/25/2019

Sparse Gaussian Process Modulated Hawkes Process

The Hawkes process has been widely applied to modeling self-exciting eve...

2 Rui Zhang, et al. ∙

research

∙ 01/16/2019

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

Online trolling has raised serious concerns about manipulating public op...

0 Dongwoo Kim, et al. ∙

research

∙ 10/08/2018

Efficient Non-parametric Bayesian Hawkes Processes

In this paper, we develop a non-parametric Bayesian estimation of Hawkes...

6 Rui Zhang, et al. ∙

research

∙ 04/06/2018

Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks

Understanding and predicting the popularity of online items is an import...

0 Swapnil Mishra, et al. ∙

research

∙ 09/08/2017

Beyond Views: Measuring and Predicting Engagement in Online Videos

Online videos account for 73 and proportional amount of traffic are stil...

0 Siqi Wu, et al. ∙

research

∙ 09/08/2017

Beyond Views: Measuring and Predicting Engagement on YouTube Videos

This work studies engagement, or time spent watching online videos. Most...

0 Siqi Wu, et al. ∙

research

∙ 08/21/2017

A Tutorial on Hawkes Processes for Events in Social Media

This chapter provides an accessible introduction for point processes, an...

0 Marian-Andrei Rizoiu, et al. ∙

research

∙ 01/11/2016

Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering

Evolutionary clustering aims at capturing the temporal evolution of clus...

0 Young-Min Kim, et al. ∙

research

∙ 12/17/2015

Unsupervised Feature Construction for Improving Data Representation and Semantics

Feature-based format is the main data representation format used by mach...

0 Marian-Andrei Rizoiu, et al. ∙

research

∙ 12/14/2015

Semantic-enriched Visual Vocabulary Construction in a Weakly Supervised Context

One of the prevalent learning tasks involving images is content-based im...

0 Marian-Andrei Rizoiu, et al. ∙

research

∙ 04/28/2015

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

We present CommentWatcher, an open source tool aimed at analyzing discus...

0 Marian-Andrei Rizoiu, et al. ∙

Marian-Andrei Rizoiu

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