Carlos Castillo
Research Professor
Graph neural networks (GNNs) are increasingly used in critical human
app...
Among the seven key requirements to achieve trustworthy AI proposed by t...
We present the results of a 12-week longitudinal user study wherein the
...
The COVID-19 pandemic has fueled the spread of misinformation on social ...
Relevant and timely information collected from social media during crise...
Artificial Intelligence (AI) is increasingly used to build Decision Supp...
Recommender systems typically suggest to users content similar to what t...
In this paper, we study the effects of using an algorithm-based risk
ass...
Music listening in today's digital spaces is highly characterized by the...
This paper describes SciClops, a method to help combat online scientific...
In this work, the problem of predicting dropout risk in undergraduate st...
Shared practices to assess the diversity of retrieval system results are...
In this report we provide an improvement of the significance adjustment ...
Social media can be used for disaster risk reduction as a complement to
...
Music Recommender Systems (mRS) are designed to give personalised and
me...
We demonstrate the SciLens News Platform, a novel system for evaluating ...
We study the problem of selecting the top-k candidates from a pool of
ap...
High-quality human annotations are necessary for creating effective mach...
In this paper, we study university admissions under a centralized system...
Research in adversarial machine learning has shown how the performance o...
The Fairness, Accountability, and Transparency in Machine Learning (FAT-...
Although freelancing work has grown substantially in recent years, in pa...
The usage of non-authoritative data for disaster management presents the...
Despite the significant efforts made by the research community in recent...
Artificial Intelligence (AI) and its relation with societies is increasi...
Terror attacks have been linked in part to online extremist content. Alt...
High-quality human annotations are necessary to create effective machine...
Ranked search results and recommendations have become the main mechanism...
We consider the problem of designing affirmative action policies for
sel...
This paper describes, develops, and validates SciLens, a method to evalu...
Predicting the popularity of online content has attracted much attention...
This document contains the outcome of the first Human behaviour and mach...
In this paper we consider a ranking problem in which we would like to or...
User-generated content online is shaped by many factors, including endog...
While the research community appears to have developed a consensus on th...
Style transfer is an important task in which the style of a source image...
Face recognition algorithms based on deep convolutional neural networks
...
Recent progress in face detection (including keypoint detection), and
re...
An emerging challenge in the online classification of social media data
...
Semidefinite programming is an indispensable tool in computer vision, bu...
Microblogging platforms such as Twitter provide active communication cha...
Despite significant progress made over the past twenty five years,
uncon...