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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...
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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...
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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...
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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...
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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...
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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...
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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...
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04/16/2021
Interval-censored Hawkes processes
This work builds a novel point process and tools to use the Hawkes proce...
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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...
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12/04/2020
Birdspotter: A Tool for Analyzing and Labeling Twitter Users
The impact of online social media on societal events and institutions is...
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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...
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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...
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06/26/2020
Graph modelling approaches for motorway traffic flow prediction
Traffic flow prediction, particularly in areas that experience highly dy...
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06/23/2020
Traffic congestion anomaly detection and prediction using deep learning
Congestion prediction represents a major priority for traffic management...
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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...
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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...
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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...
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03/21/2020
Variation across Scales: Measurement Fidelity under Twitter Data Sampling
A comprehensive understanding of data bias is the cornerstone of mitigat...
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03/16/2020
Long-term trends of diversity online
Ever since the web began, the number of websites has been growing expone...
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12/21/2019
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
In this work, we develop a new approximation method to solve the analyti...
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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...
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08/20/2019
Estimating Attention Flow in Online Video Networks
Online videos have shown tremendous increase in Internet traffic. Most v...
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08/20/2019
Estimating Attention Flow in Online Video Network
Online videos have shown tremendous increase in Internet traffic. Most v...
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07/15/2019
Motorway Traffic Flow Prediction using Advanced Deep Learning
Congestion prediction represents a major priority for traffic management...
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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...
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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...
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05/25/2019
Sparse Gaussian Process Modulated Hawkes Process
The Hawkes process has been widely applied to modeling self-exciting eve...
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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...
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10/08/2018
Efficient Non-parametric Bayesian Hawkes Processes
In this paper, we develop a non-parametric Bayesian estimation of Hawkes...
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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...
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09/08/2017
Beyond Views: Measuring and Predicting Engagement in Online Videos
Online videos account for 73 and proportional amount of traffic are stil...
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09/08/2017
Beyond Views: Measuring and Predicting Engagement on YouTube Videos
This work studies engagement, or time spent watching online videos. Most...
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08/21/2017
A Tutorial on Hawkes Processes for Events in Social Media
This chapter provides an accessible introduction for point processes, an...
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01/11/2016
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering
Evolutionary clustering aims at capturing the temporal evolution of clus...
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12/17/2015
Unsupervised Feature Construction for Improving Data Representation and Semantics
Feature-based format is the main data representation format used by mach...
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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...
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04/28/2015
